CHAPTER 1 INTRODUCTION 1
Jan 17, 2016
CHAPTER 1
INTRODUCTION
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Introduction
Project portfolio management (PPM) is a set of business practices and a process that
allows organizations to control projects and achieve organizational objectives as a
strategic portfolio and confirm the arrangement of programs and projects. This improved
the efficiency and performance of the project. PPM is a combination of project
management and project programme management. In projects, the use of PPM was very
helpful to make projects more progressive. Vinopal (2012) concluded that PPM made
projects more successful and gave a proper direction for achieving the desired goals.
Study analyzed the gap of project’s success with or without PPM. This made project’s
success easy to achieve by adopting specified direction. In PPM project efficiency and
performance were directly related with stakeholders who directly participate in the
project activities. How performance of projects in PPM can be improved by stakeholder
engagement? In PPM the success achieved by following the PPM traditions.
Project management is the application of knowledge, skills, and requirements to achieve
project success. According to the Project Management Institute (PMBOK, 2013), project
management processes were guided by five steps: initiation, planning, executing,
monitoring, controlling, and closing. Most of the literature focused on people to follow
the critical practices for project success. This also focused on quality of human
interaction, motivation and decision making practices for project success. There was a
performance gap of adoption of critical factors in different organizations (Davies,
2002).In project management, project manager’s interaction and decision making were
essential for project success. For good decision making, stakeholders were involved in
the projects which lead projects towards the success. Now the question was that why
stakeholders were important in decision making in projects and what were their role?
Decision making and negotiation was important for both single and portfolio projects.
More than two projects were managed in portfolio. This era required multiple projects to
obtain the benefit and success of project portfolio management.
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The above literature described about the PPM working traditions, goal clarity and was
specific to work according to the requirements. It made projects more flourishing in
PPM. Young and Conboy (2013) concluded that current body of PPM knowledge
suffered from a number of conceptual problems and highlighted issues. These problems
were lack of cumulative traditions, clarity, parsimony and applicability. Further they
analyzed the performance gap between different organizations. Problems occurred in
PPM due to gap of work which was not fulfilled by proper processes. Goal clarity and
working style of project team matched with the project needs. This leads towards good
project performance and high success level.
Project portfolio management success was also related with the strategies which had been
used for the project’s successful completion. Strategies had direct impact on the project
portfolio management success. Amarl et al (2009) described that strategies improved the
progress of the project or organization which reduced the problems, minimize risk and
cost, reduce threats and improve performance. Study measured the gap between different
organizations performance level by using different strategies (Amarl, Antonio, Aroujo,
&Madalena, 2009). By applying good strategies in projects according to the project
requirements, it provided better results for PPM success. Selection of strategy was the
part of the planning. Project planning made many things clear like which strategy should
be used for the selected project.
Planning of project was the first and the most important phase in the project portfolio
management. Plan-do-check-action planning cycle explained in management to improve
the organization performance. Planning cycle defined the communication at each level of
the organization to made projects successful. All planning requirements which were
essential for single project also required for multiple projects in project portfolio. Study
also discussed the terms, project breakdown structure, organization breakdown structure
and information breakdown structure. Planning requirements are not only for single
projects but also for project portfolios (Platje, Seidel and Wadman, 1994). Planning phase
closely related with the decision making process. Planning and decision making played
the vital role in the project portfolio management.
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Decision making was the central part of the project portfolio management. Good decision
making always helped to achieve the project success. In some critical situations, a
committee required accurate decisions by project stakeholders. Committee also made
decisions about the project portfolio selection and other necessary issues. Sometimes
decision makers did not agree on one decision, they had differences on their own basis,
and then decision support systems helped decision makers to reach on some consensus. In
the same situation project analysis and support system were also helpful for decision
makers to make decisions correctly. Study by Ghasemzadeh and Archer (2000)
mentioned some techniques which were helpful in decision making. Decision making
was helpful when all stakeholders agreed on one decision. Clashes in decision making
created many errors in the projects. Stakeholder’s engagement improved the efficiency of
the work in the project portfolio management. Processes in project portfolio management
were also essential in goal achievement. Goal and role clarity of stakeholders were
significant for gaining the good performance in PPM. Stakeholder’s involvement had a
great effect on the PPM. Internal and external stakeholders directly and indirectly
affected the PPM success positively.
In every project and portfolio processes, stakeholders had significant importance.
Stakeholders followed the specified processes to obtain the desired goal. Existence of
organization was associated with a higher rate of adoption of processes and tools that
come close to risk management. Study of Riaz and Micheal (2001) measured the gap
between highly adopted and low adopted processes and tools of risk management. Some
differences identified across various industrial sectors and different organizational
cultures. They also mentioned the results of the high and low level adoption of processes
(Raz & Micheal, 2001). Different organization cultures also had significant effect on the
project portfolio management success. Human skills were always helpful for the project
portfolio management success.
Human resource management had important part in the project success. Completion of
any project was impossible without human resource management. Human skills of
project manager had greatest influence on project management practices. Technical and
communication skills of stakeholders had much influence on PPM. The difference
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measured between career path of project manager and operational manager (Sabaa,
2001). Study supported the above statement that human resource had great impact on the
project portfolio management success. Project managers were directly engaged with the
project success. Skills of project managers were influenced positively, which were useful
for project portfolio management success. Stakeholder’s engagement had much influence
on the project portfolio management success.
Stakeholders had great value in the project portfolio management success. There were
different kinds of stakeholders. According to this study managers were involved in the
important projects and procedures. Primary stakeholders of the firm treated with high
appreciation while secondary stakeholders were some time ignored due to some loss or
wrong decision. To increase the corporate social relations, all stakeholders like
employees, customers and shareholders should provide equal rights, so that all of these
can work better with high motivation (Clarkson, 1995). Stakeholder engagement was
vital but all types of stakeholders should give equal rights to get involved in the project
portfolio management success. It was necessary to give right of equality to all
stakeholders to achieve the good performance of project portfolio management.
The literature highlighted various factors affecting the project portfolio management
performance. One important element was involvement of internal and external
stakeholders. Involvement of stakeholders enhanced the performance of PPM. Beringer,
Jonas & Kock (2013) found positive results about the impact of some internal
stakeholders on the PPM success. The underlying study illustrates the impact of internal
and external stakeholders on project portfolio management success. In literature there
was a gap related to the impact of external stakeholders on the PPM success. In present
study results were based on both internal and external stakeholders in PPM and their
impact on PPM success. Therefore present study filled the gap that exists in the literature.
Background of the Problem
Literature explained the positive impact of internal stakeholder’s engagement on the
project portfolio management success (Beringer et al., 2013). Relationship value of
external stakeholders like customers showed positive result for PPM success (Voss &
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Kock, 2013), but the impact of internal and external stakeholder’s engagement were not
still measured collectively. One major reason is that this study was not still verified in
Pakistan in this context.
Statement of the Problem
Beringer et al (2013) contributed the moderating effect of role clarity of internal
stakeholders on the success of PPM stating it positive. However, Voss and Kock (2013)
identified that the effect of role clarity for external stakeholders on PPM success is
required to be investigated.
An empirical research was thus required to be discovered and quantify the impact of both
types of stakeholders on project portfolio management success with distinct effect of their
role clarity.
For this study IT industry was selected because of the distinguishing portfolios were
managed in IT sector, following Beringer et al (2013) and Frey et al (2011).
In light of the above, this study examined the project portfolio management success in
managing diversified and complicated projects and impact of stakeholder’s engagement
on Project Portfolio Management success in IT Industry, Pakistan.
Research Questions
In context of Pakistan’s IT Industry, the following research questions have been
developed for the study:
1. What is the effect of internal stakeholder’s engagement on project
portfolio management success?
2. What is the effect of external stakeholder’s engagement on project
portfolio management success?
3. What is the effect of customer’s engagement on project portfolio
management success?
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4. What is the effect of supplier’s engagement on project portfolio
management?
5. What is the effect of internal stakeholder's engagement with moderating
variable role clarity on project portfolio management success?
6. What is the effect of external stakeholder's engagement with moderating
variable role clarity on project portfolio management success?
7. What is the effect of customer’s engagement with moderating variable
role clarity on project portfolio management success?
8. What is the effect of supplier’s engagement with moderating variable role
clarity on project portfolio management success?
Rationale of the Study
Impact of internal stakeholder’s engagement on PPM success had been measured with the
moderating effect of role clarity (Beringer et al., 2013). Relationship value of customers
also found positive with PPM success (Voss & Kock, 2013). Find the impact of external
stakeholder’s engagement especially customers and suppliers on PPM success had been
recommended by Beringer et al (2013). Further based on the preliminary survey in the IT
industry of Lahore, Pakistan, this study learned that finding the impact of both the
internal and external stakeholders’ engagement on PPM success would be a value
addition in literature.
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Objectives of the Study
Study sets the following objectives:
1. To determine the effect of internal stakeholder’s engagement on project portfolio
management success.
2. To determine the effect of external stakeholder’s engagement on project portfolio
management success.
3. To determine the effect of customer’s engagement on project portfolio
management success.
4. To determine the effect of supplier’s engagement on project portfolio
management success.
5. To determine the effect of internal stakeholder's engagement with moderating
variable role clarity on project portfolio management success.
6. To determine the effect of external stakeholder's engagement with moderating
variable role clarity on project portfolio management success.
7. To determine the effect of customer’s engagement with moderating variable role
clarity on project portfolio management success.
8. To determine the effect of supplier’s engagement with moderating variable role
clarity on project portfolio management success.
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Overview of the Study
Chapter 1 conferred with introduction of the research objective and its importance in the
IT sector of Pakistan.
Chapter 2 deals with explaining past studies related to the variables of study. The
literature is surveying facilitated in understanding the associations among variables.
Chapter 3 discussed the research methodology adopted for analyzing the data gathered
for the study. This section comprises sampling techniques, statistical techniques and
details on the instrument adopted to gather data from respondents.
Chapter 4 explained the analysis and result portion of the study. This section deals with
descriptive statistics to analyze sample properties and inferential statistics to analyze the
association of variables under study.
Chapter 5 is the last section of the study and deals with findings of the study and
inferences made in the light of past studies. This section also highlights the major
limitations in the study and recommendations for future research in this area.
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CHAPTER 2
LITERATURE REVIEW
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2.1 Project Management
According to PMBOK (2013) project management is the application of knowledge, skills
and techniques to execute projects effectively and efficiently. In project management,
projects were handled and preceded with the help of human resource. Human resource is
essential factor in project management. In fact for project success, skills, abilities and the
efforts of human resource were as important as the other important factors. HRM was one
of the imperative elements in project management success. HRM was the most
significant element in the organization success. Study analyzed the gap between project
and organization success due to HRM (Belout, & Gauvreau, 2004). Project Management
was an effective method for accomplishing the goals of a project. HRM and projects are
main part of the project management. There was an explanation about project and project
management. Projects are closely related to the project management. In fact project
management was incomplete without successful projects. There was a link between
project and project management.
Study of Munns and Bjeirmi (1996) explored the relationship between project and project
management activities. Project management included many things which made any
project successful or unsuccessful. Many internal and external involvements were
prejudiced the project management in a positive way. Project management had to face
many economic and financial aspects; it had complex areas which cannot be easily
handled. All these factors collectively moved towards project management success. Right
project can succeed without the success of project management, but for successful project
management there is always a need of successful projects (Munns & Bjeirmi, 1996). For
successful projects, there was a need of their own specifications. Project management
played important role in the success of projects, but project requirements were the main
point to be focused. Some other factors also affected the project success and project
needs; there was a need of all those things which were compulsory or related to the
project success. These elements are time, cost and scope.
Project success was depending on many factors which made project easier to achieve.
Four important factors were discussed in the following study of White & Fortune (2002),
which made projects successful. Project success and failure were two aspects of projects.
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For Project's complete perfection, all the important factors should be added. Because of
these projects results as a success, but due to some imperfections projects always end up
as a failure. Four most important factors (realistic schedule, adequate resources, clear
objective and support from senior management) affected most of the project success.
Study measured the gap between performance of different projects which lead towards
the project success or failure (White & Fortune, 2002). This study adopted the four
important elements to assess the project performance. By following these four techniques
project was leading towards the good performance. By ignoring these elements projects
faced errors or imperfections in work. These factors also reduced the uncertainty
management in project management.
Chances of risk always present in project management. In fact in each business and large
or small projects, in every case risk was always there. Uncertainty was the situation when
something was going wrong in the project and some kind of error occurred at any time.
Uncertainty management was important element of the project management. Uncertainty
management was an approach of facilitated assimilation with project management earlier
in the Project Life Cycle (PLC) after that threat sloping Project Risk Management (PRM)
process affected the PPM. There were a gap measured between the project risk
management and uncertainty management. Further study was recommended on
uncertainty management (Ward, & Chapman, 2003). Study explained that uncertainty
management handled and controlled at the start of Project Management especially in
project life cycle. Project was moved towards the project risk management process and
then uncertainty management. There was a gap mentioned between project risk
management and project uncertainty management which reduced the level of
performance. Project risk can be avoided and reduced with the help of project
stakeholders. Whenever project associated persons or stakeholders did not achieve
projects objectives, projects had to face many challenges. Involvement of many valued
and essential stakeholders made projects successful. There was a need of stakeholder's
engagement to reduce the risk in the projects.
Project management was related to a lot of essential knowledge and management areas,
which made clear path for the achievement of desired goals. Main processes of
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management and engagement of stakeholders made projects easier to achieve its success.
Adoption of different techniques was making clear understanding of the project
requirements and achievements. Project Management knowledge and skills made more
successful green construction projects. 10 challenges for Green Construction Project
(GCP) mitigating by important skills of management like, schedule, cost, HRM,
planning, communication and stakeholder. Study measured the gap between traditional
construction projects and green construction projects (Hwang, & Ng, 2013). Project
management knowledge areas provided knowledge on the different management
elements like communication management, stakeholder management, human resource
management and others. Above study mentioned 10 challenges for green construction
projects which were solved out by using management key areas. One of the important
knowledge areas of project management is stakeholder management, which directly
linked with the project management activities. Old and new projects had difference just
on the basis of management skills and techniques. In previous time there was no
availability of knowledge as in new time. By using management techniques and skills
with the help of stakeholders every kind of challenge can be faced in project and project
achievements. Knowledge management and stakeholder management also related to the
leadership which was helpful for good decision making.
Customer knowledge management is the part of stakeholder management and this made
clear directions for the project development and successful completion. Project
management techniques and stakeholder's skills also enhanced the decision making
process. Project management was also dealing with the leadership styles and decision
making approaches. Knowledge management was important area of project management
and was related to the customers to improve the performance of projects and reduced the
complications of the projects. Customer knowledge management was the idea of present
time which leads the projects in a very flourishing way. Study of Yang et al (2014)
analyzed that adoption of knowledge leadership was connected with the customer
knowledge management. The implementation of customer knowledge management
influenced organizational performance via project performance. Results mentioned that
positive relationship between customer knowledge management and project performance
depends on project complexity. Improvement in the customer knowledge management
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enhanced the project performance which leads towards organizational performance
(Yang, Huang, & Hsu, 2014). Involvement of customers in the projects made project
outcomes effective in a positive manner. Customers are the part of the external
stakeholders. The effectiveness of the customer knowledge management in project
management was mentioned. Customer's engagement increased the project management
success. Complex projects had low level of relationship between customer knowledge
management and project success. There was a need of strong relationship between
customers and project management.
Project management have 10 project management knowledge areas like integration
management, scope management, communication management, time management, cost
management, quality management, human resource management, procurement
management and recently introduced the stakeholder management directly exaggerated
the progress of projects in the project management (PMBOK, 2013). By improving
human skills and management practices good performance can be achieved. Human
resource and management policies were needed in the project management. Stakeholders
directly and indirectly involved in projects. Human resource in projects like customers,
line managers and project manager, directly affect the project success. How stakeholder’s
engagement improved the PPM success? PPM was a huge field of project management.
More than two projects handled at the same time by same management, it was called
Project Portfolio Management.
2.2 Project Portfolio Management
Project portfolio management is a strategic prioritization methodology employed to
analyze and manage current or proposed projects within an organization (PMBOK,
2013). There were different definitions of the project portfolio management in the
research according to the need and perception of different authors. There were different
definitions of portfolio management. These definitions related the portfolio management
with different management areas to find the relation and impact of portfolio management.
Portfolio management was a different and single area so this should be dealt
independently; this provides better results for progress (Stretton, 2012). There were a lot
of benefits and positive aspects of the project portfolio management in every field where
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projects were handled in portfolio management. According to this study adoption of
portfolio management gave better results for good performance and appropriate results.
Project portfolio management was also helpful in reducing errors and increasing the
productivity of the projects.
Project Portfolio Management reduced many issues in the projects by monitoring all the
projects collectively and another good thing was that it reduced the time of project
completion as well as reduced the cost of project. Results of the study of Catherine
&Robert (2010) explained that increase in adoption of PPM level had a positive impact
on the return on the projects in the portfolio and had a negative impact on the number of
project related problems. There was a gap between problem solving and success level in
different companies by adopting PPM (Calderini, Reyck, Cockayne, Lockett, Moura &
Sloper, 2005). According to this literature adoption of PPM increased the performance of
the projects. PPM reduced the problems and gave better results for the improvements of
projects. Project portfolio management was successful in the project management in
present research. PPM reduced many issues in the projects by monitoring all the projects
collectively. Another good outcome was that it reduced the time of project completion as
well as reduced the cost of project. Further researcher explained that project portfolio
management made it possible to achieve the strategic goals in a successful manner.
Project portfolio management was a field in which projects were monitored and
completed for improved performance in comparison with previous project performance.
Project performance was enhanced by introducing the project portfolio management in
the organization. Organizations gave value to project portfolio management in achieving
their strategic goals. It was better to start with improvement and development of portfolio
processes. There was need of good collaboration and interaction between portfolio
managers to discuss the project processes. Integration system was established to select
and screen the project proposals (Filippov, Mooi, &Weg, 2012). The project managers
had important role in the project portfolio management success. Interaction and
collaboration of project managers with other team members made projects successful.
Project managers are the main stakeholders in the project portfolio management. For
organization’s development and improvement, every organization tried to implement new
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strategies in their own company to enhance the productivity. Stakeholder's engagement
required to increase the PPM success.
This was important for organizations to make new and innovative strategies because they
had to compete with other organizations in the market. Projects were also handled in
other sectors like service and manufacturing companies in the same way as in IT sector.
Project portfolio management was also used in the manufacturing and service industry.
Project portfolio management made projects successful by using different rules and
techniques. This depended on the nature and requirement of the projects. Study explained
the relationship between project portfolio management and competitive advantage in
service and manufacturing industries. Dynamic capability used in PPM and compare the
results of service industry and manufacturing companies. PPM enhanced the outcomes
with dynamic capability (Killen & Hunt, 2010). Dynamic capability was also used to
increase the performance of the projects in the service and manufacturing industry. Some
other abilities and capabilities also discussed in the studies to augment the impact of the
project portfolio management. Proper techniques, skills, procedures and abilities made
project portfolio management successful in any area of implementation.
Organizations made collaboration with project portfolio management, and improved
results for getting good performance in a successful way. Organizations demand good
results to achieve the organization’s desired goals. Killen et al (2008) indicated that the
project portfolio management and organizational capabilities improved the organization’s
success and enabled to get advantage from the other organizations in this competition.
Study explored that managers enhanced competitive advantage by using their abilities,
procedures and appropriate strategies. They also increased the investment to make PPM
stronger. Learning investment and organizational capabilities can be improved by skilled
managers and planned work (Killen, Hunt, &Kleinschmidt, 2008). According to the study
different kinds of strategies, processes and organizational capabilities had been used for
the successful project portfolio management. Involvement of project managers was
necessary for better project performance. Managers were included in the internal
stakeholders. Internal stakeholders were directly involved in the PPM success. Some
techniques mentioned for getting the good results of project portfolio management in
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organizations. Techniques included learning investment and organizational capabilities.
By implementing these techniques and strategies with the help of the project
stakeholder’s importance of projects can be increased in the project portfolio
management.
Every single project has its own importance in the project portfolio management. They
should specify the resource, time and cost for each single project in PPM for getting the
favorable project portfolio management outcomes. Study mentioned the importance of
each project in a project portfolio management. Study explored that in project portfolio
management, projects were handled as a subject not as an entity (Blichfeldt & Eskerod,
2008). Some important projects got the maximum resources and time, while remaining
small projects always delayed and had to face shortage of resources. These reasons made
project failures in project portfolio management success. Study mentioned that there
should be some separate resources according to the need of each project. So that projects
were handled and preceded in a successful way. Overall success of project portfolio
management was possible due to the successful achievement of single projects which
were monitored separately. Business strategies were also helped to achieve the project
portfolio management success.
Many factors influenced the project portfolio management success in a positive or
negative way. Most of the belongings affected the project portfolio management in a
positive way and enhance the productivity of the projects. While on the other side
weaknesses of the projects reduced the productivity. Business strategies positively
impacted the projects in PPM. The effect of business strategy explained on project
portfolio management and on its success. They introduced the relationship between
strategic orientation, project portfolio management and business success. Strategic
orientation was positively affected the project portfolio management success and then it
enlarged the business success (Meskendahl, 2010). All these things increased the
performance of projects in PPM. Including these factors, some other belongings were
also discussed here which created hurdles in the project portfolio management success.
So lack of managerial important activities created many problems to achieve the
organizations goals.
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Previous research mentioned some problems which were building hurdles in internal
development of project portfolio management. Study gave main six problems as a result,
which were inadequate project level activities, lacking resources, competencies and
methods, lacking commitment, unclear roles and responsibilities, inadequate portfolio
level activities, inadequate information management and inadequate management of
project-oriented organization. They recommended further research on development of
managerial practices (Elonen & Artto, 2002). They also analyzed that some elements
raised the productivity of the project portfolio management success; on the other hand
some other factors declined the efficiency and productivity of the project portfolio
management success. Balance in all these factors was necessary and involvement of the
internal and external stakeholders was also compulsory who administered the work
according to the need. Some models and matrixes also helped to diminish these errors in
project portfolio management success.
In project portfolio management, strategies were getting much importance because by
implementing these strategies, project success could be achieved, which leads towards
project portfolio management success. By implementing the strategies of business and
adopting different kind of models projects were easier to achieve their goals and clarify
many project requirements. Study of Dickinson et al (2001) explained it cannot be said
that dependency matrix and optimization model condensed all problems and issues of
project portfolio processes. But it provided some additional tools and techniques to
confirm the achievement of PPM success by following these portfolio management
strategies. Three goals of project portfolio management were to maximize the value of
the portfolio, provide balance and the strategy of the business. Dependency matrix and
optimization model provided means to get maximum benefit from multiple projects in
information technology portfolio (Dickinson, Thornton, & Graves, 2001). By adopting
these techniques it was easier to achieve the project portfolio management success.
Further study discussed that project portfolio management was discussed in the IT
projects and previous research also supported that this IT sector was suitable for PPM
related study.
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Project portfolio management projects were mostly handled in the IT sector and adoption
of project portfolio management made projects more successful. Study of Reyck et al
(2005) explored that most of the work of project portfolio management had been done in
the IT projects. Three stages of classification of the project portfolio management were
defined. There were a correspondence between the project portfolio processes and
improvement of the projects and portfolios. Study found a strong correlation between
increase in the adoption of project portfolio processes and decrease in the project related
problems. There were also a strong relationship between Project portfolio management
adoption and project performance (Reyck, Cockayne, Lockett, Calderini, Moura,
&Sloper, 2005). Their study analyzed that increase in adoption of PPM enhanced the
good performance of the projects. Adoption of PPM gave positive results and increased
the success level of projects. Project portfolio management success linked with many
essential elements which were discussed in the above studies. In PPM project’s success
can be improved by involvement of internal and external stakeholders in projects.
Engagement of stakeholders gave positive results in PPM success. Stakeholders critically
linked with the PPM. How stakeholder engagement gave positive results? Which factors
were involved with stakeholder’s engagement to achieve the PPM success? Selection of
appropriate strategies also increased the accomplishment of projects in PPM. In PPM,
selection and use of strategies according to the project were significant.
2.2.1 Strategies in Project Portfolio Management (PPM)
PPM was the extension of project management. Large number of projects monitored
under a single platform. Project’s mutual performance was enlarged by good decision
making and negotiation strategies. Bad performance of one project affected the
performance of all the projects in PPM and harmed the complete portfolio. Furthermore,
selection of strategies in PPM should be according to the project needs, which enhanced
the success. PPM was increasing in organizations with positive aspects in two ways;
which were PPM as negotiation and PPM as structure reconfiguration. Study mentioned
the gap of proactive strategies; project portfolios did not follow the PPM negotiation and
reconfiguration strategies for decision making (Martinsuo, 2013; Martinsuo & lehtonen,
2007). PPM used two types of strategies for decision making, which were negotiation and
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reconfiguration. These strategies increased the performance of projects in PPM. Further
study also mentioned the importance of the strategies which was essential in project
portfolio management.
PPM was aligned with the projects as relating strategies of the organizations with the
projects. PPM improved the success rate of the projects as well as organization. Study
measured the gap of project’s progress in different years. Study of Heisting (2012)
mentioned that project portfolio management strategies increased the success level of the
projects and organizations. Project portfolio management strategies were changed after
some time period for improvement in performance (Heiskanen, 2012). Different kinds of
projects needed different types of strategies according to the requirements of the projects.
New strategies used for project success in PPM according to the need.
Project management and project portfolio management both used strategies according to
their requirements. Advancement in Project Portfolio Management was more appropriate
and successful in comparison with Project Management by applying three strategies.
Strategies were used according to their needs and to gain the competitive advantage in
market. The difference in enhancement of project management and project portfolio
management was measured (Killen, Jugdev, Drouin, & Petit, 2012). According to this
literature three strategies were used to improve the project performance. These three roles
or strategies were increased the efficiency of project portfolio management which
enhanced the performance. To made project portfolio management more advanced these
strategies were helpful according to this study. New and advanced strategies, processes or
techniques enhanced the project performance in project portfolio management. Strategies
were directly involved in the project portfolio management. This made projects
successful and lead towards the high level of attainment of project success.
Researchers further referred different sets of strategies and prepositions. This was
depended upon the nature of the projects which were working under the project portfolio
management. Some projects were specifically needed appropriate set of strategies which
were suggested by the previous studies, while some other projects did not think that these
prepositions were suitable for them. This was completely depending upon the nature of
the projects which were handled in the project portfolio management. Project portfolio
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structuring and project success were analyzed and outlined by four prepositions. Strategic
orientation, Project Portfolio Management and project success had direct relationship
with the strategies. Study measured the gap between four prepositions to analyze the
project success (Meskendahl, 2010). This study was analyzed that four strategies were
introduced for the project success and project portfolio management success. By adding
these strategies in the projects, project structure can be improved and provide better
performance than the previous performance. In project portfolio management success
many other factors were also included rather than strategies like involvement of
stakeholders. Stakeholders were the management resource persons who made these
strategies useful for the project success. For successful project portfolio management
success, there was required direct relationship between the strategies and engagement of
stakeholders with their defined roles.
Strategies were directly linked with the stakeholders of PPM. Stakeholder’s engagement
directly affected the PPM performance. Strategies were implemented in the projects by
internal stakeholders. Stakeholder’s engagement in PPM was one reason of the projects
success. How stakeholders can implement better strategies in projects to achieve the PPM
success? Strategies were the segment of framework in PPM. Framework of project was
the guideline at which projects were managed according to planned schedule. Good
strategies and good decision making was very helpful and gave advantage to PPM. By
using appropriate strategies according to project type, it improved project portfolio
management performance and reduced its completion time and resources.
2.2.2 Decision Making in Project Portfolio Management (PPM)
Mostly decision making was considered important in the project portfolio management.
Decision making was the central part in which all major decisions had been taken to
make the projects successful in the future. In decision making, the project strategies,
procedures, processes, duration, resources, and also human resources were determined.
Complete project depended on the decision making of the project. Especially for the
Project Portfolio Management decision making, only literature support was not enough,
there required some practical approach for good decision making in project portfolio
management (Gutiérrez, & Magnusson, 2013). Different projects were demanding
21
different decision making approaches for the project success and for some innovation.
Decision making approach related with the stakeholders who were directly linked with
the project portfolio management success. Stakeholder’s engagement made possible
project portfolio management success by using different approaches of decision making.
Study of Gutiérrez & Magnusson (2013) indicated that some managers used decision
making approaches which were not suitable for the organization. So they had to make the
formal policies for organizing and selection of good decision making approaches.
In the decision making portion all important decisions were taken related to the project
outcomes. After that project managers handled the projects according to their
requirements. Projects success did not depend on the one element. In decision making
planning was also discussed because it was also a process. Stakeholders were always
involved in the decision making and planning processes. How stakeholder involvements
made decision making process more successful and applicable in the project portfolio
management success? Decision making was a process in which involvement of internal
and external stakeholders was essential.
2.2.3Planning in Project Portfolio Management (PPM)
Project planning was also imperative and critical step in project portfolio management.
Project portfolio management success was also depended on the planning of the projects.
All things which were decided in planning followed by the project stakeholders until
project have been executed. This provided simple calculations based on existing methods
and tools that can provide better foundation for better results to measure the project
planning. He measured the gap of project results by using different methods of planning
(Ross, 2007). He mentioned that to gain good results and success in projects, use
different project planning tools and techniques. Use of best tools and techniques which
were suitable for the project type improved the efficiency of projects in Project Portfolio
Management. This also made it possible to complete within the time limit. Planning had
different aspects like many important factors were discussed in planning process which
were very closely related to the project success. Different belongings of projects in PPM
were related with the planning.
22
Specific strategies and techniques in project portfolio management should be followed
according to the project needs. This made projects successful. Successful projects needed
important strategies and processes which were also closely related to the project portfolio
management success. Possible solutions of the problems in Project Portfolio Management
were better strategic and human resource planning, adequate organizational changes and
efficient risk management. Study measured the gap in strategy implementation in
different projects of Project Portfolio Management. Further research suggested on more
precise and efficient Project Portfolio Management implementations, solutions and
simplifications (Madic, Trujic & Mihajlovic, 2011). Success of one project was related
with many things. Only one measure or one element did not make any project successful
in project portfolio management. Some things were directly related with the projects
while some things related to the persons who were managing these projects. Project
portfolio management sometimes faced many problems which were related to the
different projects.
Project management and project portfolio management were connected with the project
managers and project portfolio managers. Problems and issues were also linked with the
project managers because they had to find the solutions of problems. Furthermore,
research discussed some problems which were faced by the project managers in the
project portfolio management and after that study also described the solutions for these
problems. Study of Cooper et al (2000) mentioned some problems like lack of resources,
go and kill decisions were made in absence of important information and many other
issues which caused failure in projects. Solutions for these problems were described.
Solutions were implemented a proper gating process, build in resource capacity analysis
and last was to develop a product innovation and technology strategy for your business.
By following these solutions, problems can be handled in a good manner and project
portfolio management work more effectively with positive results (Cooper, Edgett,
&Kleinschmidt, 2000). Many issues were discussed by this study and project managers
had to face these issues in the project portfolio management. Stakeholder's engagement
can enhance the PPM success and reduced these issues. Some solutions were provided by
this study as explained above. By implementing these strategies project problems could
be overcome according to this study.
23
Proper use of project portfolio management practices like planning of resource, schedule,
Human Resource Management, and proper framework increased the success of the
projects in project portfolio management. This also solved many problems and issues.
Project portfolio management closely correlated with the stakeholder engagement. Many
problems can be solved by stakeholder’s engagement. Internal and external both
stakeholders were important in project portfolio management success. How stakeholder’s
engagement solved problems in the project portfolio management? Selection of projects
was also associated with the stakeholder’s engagement.
2.2.4 Selection of Projects in Project Portfolio Management (PPM)
Selection of projects took place according to the current situation and see current
environment was suitable for the applicability of the projects. This also increased the
project performance. Decision making was used in the project selection. Study of
Carlsson et al (2007) mentioned a methodological approach for decision making in
project selection. Methodological techniques were used to increase the good decision
making approach in research and development project selection in portfolio management
(Carlsson, Fulle´r, Heikkila, &Majlender, 2007). Different approaches were introduced to
enhance the effectiveness of the projects in the project portfolio management. In project
portfolio management selection of projects was very important step. Success and failure
of the projects depended on the selection of projects. This also mentioned that which
approach was suitable for decision making. Different measures related to project
selection were discussed to made projects successful in PPM.
Some things were directly linked with the project portfolio management. These
belongings were mainly selection of projects and maximizing the outcomes. Different
techniques were discussed by the Levine (2006). He also described about practical guide
to selecting projects, managing portfolios and maximizing benefits. In short findings of
the study said that periodically, there was need to review each project to test assumptions,
update givens, monitor progress, and examine alternatives and remodeling the portfolio.
Study measured the gap between projects and operation sides of business (Levine, 2006).
Important factor in project portfolio management was project selection according to
project portfolio management requirement. Project selection and projects decision
24
making linked with each other. These two important processes need detailed discussions
and proper communication. By following these techniques projects were successful in
project portfolio management according to the current situation. Sometimes PPM had to
face risk in decision making related to project selection. Uncertainty level was always
high in tangible projects of project portfolio management.
In project portfolio management selection of projects were related with risk and
uncertainty management. In every phase projects had to face the risk. There was always
uncertainty level high in the projects which were handled in natural environment. So
there was margin of risk in the selection of projects. Both moments and uncertainty were
important in portfolio selection. Results showed that it was important to integrate higher
order moments in portfolio selection. Different methods were used to analyze the level of
uncertainty and errors (Harvey, Liechty, Liechty, & Müller, 2004). They mentioned the
high level projects which were monitored in the project portfolio. They were also trying
to explain that as discussed above in small projects risk and uncertainty level was always
high. In the same way in project portfolios risk level also very high where a large number
of projects were handled at the same time. High level and high budget projects were
included in the project portfolio management. High level models, analysis and techniques
were preferred in the project portfolio management to reduce the risk level. For good
decision making some standards were introduced to follow in project handling. By
following the mentioned techniques project decision making made project portfolio
management more successful.
New and tested approaches for decision making provided a new way towards the
successful PPM. In project portfolio management decision making was the essential
process. Study of Linton et al (2002) mentioned the approach of decision making in
selection of portfolio projects. Decision making approached in two ways accept or reject
the project proposal. Study highlighted a method Value Creation Model (VCM) for
selection of projects in portfolio. Date Envelopment Analysis (DEA) made project
acceptable in portfolio (Linton, Walsh, &Morabito, 2002). They analyzed that approaches
used for good decision making had visible impact on the project portfolio management
success. In project portfolio decision making was a very critical process on which overall
25
project success depended. This process should be handled very critically specially in case
of project portfolio management success. Decision making in the projects and selection
of projects were significant processes of the project portfolio management success.
Stakeholder’s engagement in decision making was also important. Projects were handled
by internal and external stakeholders in the project portfolio management success. By
involving stakeholders decision making can be improved for selection of projects in the
project portfolio management. Framework of projects was also good factor to improve
the project portfolio management success.
2.2.5 Framework in Project Portfolio Management (PPM)
Framework in project was the backbone of the project for the success and maturity of
PPM. Framework was the base of the projects which made it successful in the project
portfolio management where more than two projects were monitored at a time. Research
concluded that there should follow the proper framework in companies to gain maturity
and purposeful development in all three project, portfolio and programme management
were important. These three should be adopted by companies in a prosperous way to
attain success. There was a gap in level of maturity of organizations using project and
PPM (Naverauskas & ciutiene, 2011). Framework was not only important for the projects
but also in portfolio and programme management was considered important. To give a
shape to projects for its successful completion was a good sign of achieving the desired
goals. Service portfolio management was also introduced to increase the effectiveness of
the project portfolio management success.
New dimension of the portfolio management was introduced in the framework of project
portfolio management success. This dimension increased the strategy development for
the services in the project portfolio management. Service portfolio management was
needed to integrate the overall framework like service strategy management, service
quality management, etc. Different activities were associated with different tasks so there
was no need to be investigated. Service portfolio management was a tool to increase the
efficiency and reliability of the tasks in PPM (Kohlborn, Fielt, Korthaus, & Rosemann,
2009). Study analyzed that in the project portfolio management projects, service portfolio
management was essential to perform the individual as well as collective tasks perfectly.
26
By using service strategies, service quality can be enhanced. Tasks in the project
portfolio management were performed with more efficient way by using service
strategies. Decision making was also important in the framework of project portfolio
management success.
Selection of framework for specified project was as important as the selection of projects
in PPM. Each project success was depended upon its framework and other essential
factors. Different steps were involved in the selection of the framework. Accurate and
working framework helped to achieve the desired goals in the project portfolio
management. For project portfolio selection framework was suggested as an integrated
decision support system, and need to test it in real decision making situations. Study
measured the gap between different processes of decision making for project portfolio
selection (Archer & Ghasemzadeh, 1999). Selection of projects was also an important
step in project portfolio management as well selection of framework. Proper framework
should follow for projects and decision making in project portfolio management to
improve the PPM success. Further study mentioned the nine knowledge areas which were
key elements of the framework in the IT projects.
Human resource management introduced nine key knowledge areas for IT projects
framework. By using these areas project success can be enhanced. Projects were
successful when follow the 9 key knowledge areas of Human Resource Management
(HRM) properly. These key areas were already mentioned above with extension of 10th
key area. Study measured the gap of performance between project managers using
limited key knowledge areas and all knowledge areas of Human Resource Management.
Future research recommended finding the other key knowledge areas rather than Human
Resource Management for project management (Naqvi, 2009). One newly introduced
knowledge area which was related to this study is stakeholder management.
Stakeholder’s engagement was very important in the project portfolio management
success (PMBOK, 2013). Stakeholder management was essential key area of the project
management. Stakeholder’s engagement made framework stronger towards PPM goals.
According to this literature framework of each project was vital, it made project
dimensions clear towards goal and guide the project managers in a proper way to achieve
27
desired goals. Improvement in framework increased the project success. Programme
management and stakeholder management were related with each other. Stakeholders
were main components of the framework and they influenced the PPM success more
bitterly. Stakeholder’s participation enhanced the success level of projects in PPM.
Improvement in framework reduced the risk level. Risk management was also effective
in PPM. Risk management in advance was saved projects from big losses.
2.2.6 Risk Management in Project Portfolio Management (PPM)
Risk management was integrated with the project at each step. At any stage project
managers had to face the project risk related to any part of project in Project portfolio
management. So risk management was also an effective factor in PPM, which can
increase or decrease the level of success. Risk management was essential in the project
portfolio management. Involvement of stakeholders decreased the possibility of risk in
project portfolio management. Study of Mattsson (2010) discussed about the project
manager’s responsibilities and specially risk management responsibility portfolio. Project
managers engaged with project in direct and indirect way so they had to manage the all
activities related to projects. The risk management responsibility portfolio depended on
the project manager’s engagement within pre-project and other project phases (Mattsson,
2010). Project managers were directly involved in the project handling. So project
managers also had to face the risk at each phase of the project. Study also analyzed that
project manager’s skills and qualifications had to face the risk in the project portfolio.
There was integration between risk management and project portfolio management.
Risk management was always present in the project portfolio management. There were
many kinds of risks which created hurdles in the project success in the PPM. Involvement
of managers reduced the effect of risk in a positive way. Study of Sanchez (2008)
concluded about the integration of project portfolio and project risk management that
integration of both was so important to save the projects from environmental risks. Study
found the gap between the project portfolio management and project risk management.
Further research recommended on advantages of project risk management (Sanchez,
Robert & Pellerin, 2008). There was direct relationship between the project risk
management and project portfolio management. Project risk management increased the
28
effectiveness of projects in the project portfolio management. Risk management was
handled by observing the risks and weaknesses in the previous projects. Experiences of
the previous projects helped improving the effectiveness of projects in the project
portfolio management.
There were unlimited ways to handle the risk in the project portfolio management. Some
techniques were standardizes to observe those risks which were normally common in
many projects. Techniques were developed by monitoring the different kinds of errors in
the project portfolio management. To reduce these risks some standards were adopted.
Study explained that portfolio risk managed in two ways. First was that provided some
sources to the single projects to get experiences from the previous projects within the
portfolio. Second was common risks and issues were identified and avoid these risks for
the other projects so that project risks can be managed. By controlling the portfolio risk in
project portfolio management, project portfolio success can be achieved more perfectly
(Olsson, 2006). He focused on two ways by which project risk management can be
overcome. Get experience from the previous mistakes in the projects. Avoid these errors
in the coming projects, projects portfolio success can be enhanced by using these
techniques. Learn something from past mistakes and go for new achievements. Control
over project helped a lot to handle the projects successfully in the project portfolio
management and avoid projects from risks.
Main aspects in project management were controlling and monitoring. Controlling was
the central phase. In this phase most of the errors were automatically reduced by good
monitoring. Stakeholders were directly related with the project management processes.
Internal stakeholders like project managers were the source of risk reduction in the
project portfolio management and also play vital role in controlling and monitoring
processes of project. If Controlling and monitoring were perfectly managed then risk and
uncertainty were automatically decreased. Risk and control of project were improved by
implementing good project management strategies. There was a gap of strategies in
project management. If project processes and strategies were not well defined and not
implemented in a proper way in projects then uncertainty level was always high in PPM
(Atkinson, Crawford, & ward, 2006). They mentioned the strategies which helped to
29
control the risk and uncertainty in the project portfolio management success.
Stakeholder’s involvement much helped to reduce the risk in the projects. Involvement of
internal stakeholders like project managers enhanced the effectiveness of the project in
the project portfolio management success. If project risk management was properly
managed in project portfolio management (PPM), it increased the efficiency of projects
and also enhanced the performance of projects in PPM. Work was already available in
the literature related to the risk management as explained above. Stakeholder
management is newly introduced area of project management and recent studies were
focusing on the stakeholder management. Stakeholder’s association in PPM reduced the
risk and increased the performance of projects. Internal stakeholders were involved in the
project practices; they better handle the risk in PPM. How stakeholder engagement
reduced the risk in PPM? Good practices were reduced the risk in PPM. Practices in
PPM increased the accomplishment of the projects. Adoption of good practices was
leading PPM toward achievements and high level of success.
2.2.7 Practices in Project Portfolio Management (PPM)
Good practices in projects were increased the effectiveness and efficiency of project
portfolio management. Good strategies and processes were implemented in PPM to
attain the best performance of projects. Best practice for PPM according to this study was
managerial excellent practices at each level of project. By following this technique
managers delivered best results to the organization. Study analyzed the gap between
organizational performance differences by following different techniques or procedures
(Hunt & Killen, 2008). According to the literature best techniques were used in PPM, to
get best performance of projects. In project success, practices and techniques played a
vital role. As in project portfolio management high level projects were monitored and a
large number of projects were handled at a time. PPM always needed high level and good
performing strategies. So project portfolio management success also depended on the
good practices which had been used in the projects. These strategies directly linked with
the stakeholders who directly and indirectly linked with the project processes.
Good strategies always follow the standardized patterns which were properly tested
before use. So standardized techniques used in the projects for good results. Furthermore,
30
internal stakeholders like managers used better practices in PPM according to the need.
Stakeholder’s commitment in PPM leads the projects toward achievements. How
stakeholders made practices more useful for the project portfolio management? Practices
were essential for single projects as well as for multiple projects. Performance of single
project also affected the whole PPM success. Single project was the base of PPM.
2.2.8 Role of Single Project in Project Portfolio Management (PPM)
Each small project in project portfolio management was as important as other large
projects. Every project was directly involved in the overall success of the project
portfolio management. For success of the large projects it was important to give
importance to the small parts of that project. Similarly for the success of project portfolio
management it was important to give the importance to each small project.
Accomplishment of small or single projects was building the triumph for project portfolio
management. Single project management was associated with portfolio management
efficiency directly in the form of information availability and project management
efficiency, and indirectly in the form of information availability, goal setting and decision
making. Study found the gap of efficiency between single projects and portfolio projects,
and the effect of the single projects on the portfolio projects efficiency and performance
(Martinsuo & lehtonen, 2007). According to the above literature single project was
directly and indirectly related to the project portfolio management success. Single
projects had much contribution in overall project portfolio management success.
Furthermore, project portfolio was successful due to the successful completion of these
single projects. Formalization of project portfolio management also showed positive
results for its goal achievement.
Project portfolio management was vast area in comparison with single projects. But
success of project portfolio was possible with the achievements of single projects
successfully. In project portfolio, complex and easy both types of projects were
monitored. Sometimes this situation became dangerous for the projects to handle. Study
mentioned that in formalization of project portfolio management and single project
management with mediating effect of project portfolio complexity, project portfolio
management gave more positive results as compared to single project management. Study
31
also analyzed that formalization of project portfolio management showed more positive
results when the projects were more complex. Project portfolio complexity enhanced the
effect of project portfolio quality as well as project portfolio success (Teller, Unger,
Kock, & Gemünden, 2012). Literature supported the complex projects. According to the
study more complex projects gave more achievements in the project portfolio
management. Internal and external both stakeholders’ engagements were significant in
projects. Especially in single projects, engagement of stakeholders made projects easier
to accomplish. Importance of stakeholder’s engagement was equal in single and PPM
projects. Stakeholder’s contribution in single and PPM projects was vital for project
achievement. Why stakeholder’s engagement was important in single and multiple
projects? In PPM project managers also had much contribution in PPM success. Skills of
project managers and project portfolio managers control the most of PPM processes.
2.2.9 Product Innovation in Project Portfolio Management (PPM)
Product and project innovation always increased the effectiveness of organization. Users
always demand new products for change. So product innovation itself was a source to
increase the effectiveness of the organization or projects in a positive way. Project
innovation included in the project portfolio management, its achievement was
compulsory for each project. Study of Killen (2013) discussed about the relationship
between product innovation, project success and good performance. Project portfolio
management (PPM) associated positively with the product innovation and new product
success. Use of strategic and portfolio mapping methods strongly increased the
performance of PPM. There was a gap between tangible products and service based
organizational performance. Future research recommended on the project portfolio
management services in an emerging area (Killen, Hunt &Kleinschmidst, 2013). Project
innovation increased the project portfolio success, it directly involved in the project
portfolio management progress and success. Some specified techniques which were
followed in a proper way, made project portfolio very successful with product and project
innovation. Some important practices which were essential to follow in each small and
large scale project in the project portfolio management. Time, cost and scope these three
things always important and should specified for each project in the start of the projects.
32
Above literature described about project portfolio management and new product
development. Results explained that company should put a methodology to choose the
right project and allocate both budget and resources for successful completion of the
portfolio projects. There was a gap measured of methods and processes for the project
portfolio completion (Miguel, 2008). For successful project completion allocation of
resources and budget was compulsory for a project. New things could be added in the
projects after implementation of these two important parts. Project innovation and new
product development lead projects towards the project success in PPM. There was
positive relationship between the organizational teamwork and innovation which go
towards goal achievement. Innovation was always related with the inter-organizational
activities. Improvements and new ideas made possible to innovate the projects with new
ideas and techniques. Authors analyzed positive relationship between inter-organizational
collaboration and innovative performance.
As above explained about the innovation, furthermore, the impact of innovative
performance differ depending on the nature of the partners involvement. Researcher
strongly suggested that the relevance of adoption of a portfolio move projects towards the
inter-organizational collaboration within the framework of innovation strategies (Faems,
Looy, & Debackere, 2005). By innovation of the projects, performance of project
portfolio management enhanced. Study of Faems et al (2005) also described the
importance of the stakeholders. By increasing the level of stakeholder engagement,
project innovative performance increased. There were different techniques which were
used for increasing the project performance in the project portfolio management.
Strategies and techniques were always helpful to increase the performance of the project
portfolio management. The product portfolio management focused on all techniques and
processes of PPM for good performance and good quality of work. Study of Cooper et al
(1999) measured the gap between four performance techniques. Further research
recommended towards product innovation (Cooper, Edgett & Kleinschmidst, 1999).
There were different elements which affected the project portfolio performance. Different
techniques used for the performance measurement. Research and development was also
33
important area to discuss in this context. This also pushed the innovation strategies to be
used and provide best results in a positive way.
Research and development was vast area to discuss. In project portfolio management R &
D need special attention for innovation of the projects. Overall performance of the project
portfolio management depended upon these essential and critical phases of the projects.
Portfolio management processes successfully developed to help executives to achieve
their desired objectives by R&D. For better results they had to make balance between
short term pressure and future, long term needs of organization and see R&D direction
was meeting with the objectives. A gap of performance between good performing and
poor performing organizations was measured (Cooper, Edgett & Kleinschmidst, 2001).
Project innovation directly measured the performance gap of project portfolio
management. Good and bad performance depended upon the R&D objectives and
innovation strategies. From this literature, present study analyzed that product innovation
was positively correlated with the progress of the project portfolio management. With the
innovation in products, processes and strategies there will be a positive change in the
project’s completion time in PPM. Many other factors also improved the project portfolio
management. Engagement of stakeholders enhanced the effect of innovation in the
Project portfolio management. How stakeholders helped to improve the products and
projects? Skills of stakeholders were always helpful towards the goals of the
organization.
2.2.10 Skills of Project Managers and Project Portfolio Managers in PPM
Abilities and qualified skills of project managers and project portfolio managers were
helpful for overall PPM success and good performance. Leadership was an important part
of the project handling. Leadership directly linked with that person who was managing
the project activities. Study of Ahmed et al (2013) explored the importance of project
leadership in handling the projects in diverse and demanding environment. Study
mentioned that there was a limited research on this topic while recommendations were
given many time. The roles and functions of project leadership had been highlighted and
it became important to understand the difference between leadership and management.
As discussion found difference between project leadership and project management to
34
determine the results on success and failure of projects. Future research recommended on
valuable project leadership (Ahmed, Azmi, Masood, Tahir, & Ahmad, 2013). Leadership
performed skillfully made project’s outcome possible to achieve. Further some leadership
styles were discussed which were adopted according to the project requirements.
Leadership controlled by project and project portfolio managers who were very close to
the project and had direct involvement. Leadership always worked at upper level.
Decision making occurred at the top management while other managers had to follow the
instructions. Study of Kissi et al (2013) mentioned that the project manager’s leadership
effect on the project success and performance. Transformational leadership of portfolio
managers increased the project performance at corporate level. Study analyzed the gap of
project performance due to transformational portfolio managers at corporate and middle
level managers (Kissi, Dainty &Tuuli, 2013). Study analyzed the gap in the performance
at two levels. Leadership work perfectly at top level, but study analyzed the leadership at
middle and top level. Top and middle manager’s engagement with each other improved
the project performance in PPM.
There were many leadership styles which were used according to the requirement.
Leadership worked on that place more perfectly where it was really needed. Study
mentioned that strong relationship of project managers with his/her team lead towards the
project success. Project manager’s leadership style would be according to the project
type. Project managers needed to used his skills according to the project requirements and
increased the project performance. By increasing the communication within the team, it
provided positive results towards the project success (Yang, Huang, & Wu, 2011).
According to this literature leadership style associated with the project requirements.
Strong relationship within the team members was also affecting the project results
positively. Study of Yang et al (2011) mentioned that project manager’s engagement with
other stakeholders gave desired outcomes.
Leadership styles of project portfolio managers affected the performance of PPM. For
successful project completion, project leaders had to change their behavior with their
team. Personnel working style should match at each stage of the project with the project
activities. Skills of project managers and project portfolio managers were considered as
35
internal stakeholder’s abilities in PPM. Stakeholder’s abilities directly affected the PPM
performance. How stakeholder’s skills effect the PPM success? In successful project
completion, involvement of stakeholders was also imperative. This increased the
competence of the projects and also enlarged the likelihood of success. Internal and
external both stakeholders’ engagements were essential in PPM success.
2.2.11 Role of Project managers, Stakeholders and Customers in PPM
Role of different stakeholders was important to describe and performed in a creative way.
Different instruments have been developed to measure the performance of stakeholders in
terms of their roles and responsibilities. Multi-criteria decision aiding methodology
constructivist MCDA-C instrument was used in this research to evaluate the performance
of the project portfolio. This was a good instrument and used in project portfolios in
decision making. Gap of performance measurement was measured in this study (Lacerda,
Ensslin & Ensslin, 2011). A tool was used to measure the performance of the project
portfolio management due to the stakeholder’s roles. Major responsibilities mentioned for
further studies were related to the project managers. Portfolio managers were directly
influence the project portfolio management success.
Stakeholder’s engagement had influence on the project portfolio management success. In
this context both internal and external stakeholders were important. Internal stakeholders
had direct impact on the project portfolio management success. Portfolio manager was
responsible to deliver project or end product with complete perfection and good quality
by using transaction cost economies (TCE). A gap was measured between different work
qualities of managers. Further research recommended on combination of qualitative and
quantitative portfolio management (Koh, 2011). Study mentioned that portfolio managers
who were include in the internal stakeholders had direct impact on the project portfolio
management success. Involvement of internal managers affected the most project
portfolio management success, because they had direct relationship with the project
activities.
Different management levels involved in the project portfolio activities. Involvement of
top management always present in the decision making and other important activities.
36
Roles and responsibilities defined in the project portfolio management. This provided
better results to the project portfolio. Top management team and middle managers
interface enhanced the work quality and also gave better results for project success. Study
suggested that top management team and middle managers should be aware of their role
with good understanding because their understanding enhanced the interface process. Top
management team more perfectly performed their duties and made good interface
processes (Raes, Heijltjes, Glunk, & Roe, 2011).They mentioned that involvement of
both top management and middle management were essential. In comparison with middle
management, top management involvement provided better results in PPM. Most
important factor which made successful of any project was project manager’s skills,
abilities, experience, leadership and decision making skills. Involvement of stakeholder
and customers were also helpful for the projects in PPM. How stakeholder engagement
enhanced the effect of role of internal stakeholders? Engagement of stakeholders directly
involved in the project portfolio management success.
2.3 Engagement of Stakeholders
Sometimes business requirements were changed for the stakeholders. In some
organizations only one person was the owner of the whole organization. In some cases
more than one person were counted as owners. Sometimes company sale shares too many
persons or parties. Study of Parise and Casher (2003) presented a portfolio approach in
which business partner relationship was focused for managing, analyzing and designing
the project within the organization. By mutual understanding of the partner’s alliance
network and benefits of the organization enhanced and decrease the errors. Relationship
value of the partners improved the effectiveness of the organization (Parise& Casher,
2003). Good relationship value of business partners enhanced the accomplishments of the
organization. Good communication between internal stakeholders effected positively.
Many issues occurred due to the misunderstanding of the internal stakeholders and due to
this cause, aim of the organization ignored.
Some important factors which were follow properly without any ignorance in the project
portfolio management. Stakeholder engagement directed with the business activities
especially internal stakeholders was useful for these activities. Stakeholder
37
communication was one of the important determinants of project success. Significance of
stakeholder communication was a primary determinant which defined scope, time, cost
and quality standards for its projects (Naqvi, Aziz, & Rehman, 2011). Stakeholder
communication resolved primary level problems in the project portfolio management
success. Primary determinants time, scope and cost were controlled in its best way by
stakeholder communication. Further study was recommended that integration between
stakeholders had positive impact on the project portfolio performance.
Engagement of internal and external stakeholders was essential for the project portfolio
management goal achievement. Relationship with all type of stakeholders enhanced work
activity in a positive manner. Involvement of managers at different designation also
benefitted the projects. Integration between different stakeholders group was very
important for project success and good performance. Good communication and
continuity between mentioned groups like senior management, project core team and
project recipient’s stakeholders groups made projects successful. The agreement for
perception of project success between these three groups was managed to gain the best
project performance (Davis, 2014). The engagement of internal and external stakeholders
made projects more successful. Good communication and continuous relationship
between all stakeholders made project achievements easier to achieve in project portfolio
management.
2.3.1 Engagement of Internal Stakeholders in Project Portfolio Management (PPM)
Internal stakeholder’s involvement in projects increased the performance and chances of
success in project portfolio management. Human resource was directly involved in the
project processes and introduced strategies to attain the project’s desired goals.
Involvement of internal stakeholders like top and line managers was very important in
project portfolio management success. Empowerment of top management, interventions
by top and line management, encouragement by top management were the three main
aspects by which project portfolio management success can be enhanced. Line and top
management involvement also increased the performance of project portfolio
management success (Jonas, 2010). The roles of the different internal stakeholders should
38
be according to their designations. Empowerment and encouragement performed at the
top level and it was also beneficial for the project portfolio management success. Other
studies also supported the senior management involvement and their effective
communication in project portfolio management.
Further study focused on the relationship of the senior management. Skills of senior
managers enhanced the project activities in effective manner. Study of Unger et al (2012)
promoted senior management involvement to perform as strategic managers by adopting
an effective project portfolio culture in which termination of projects gave positive results
in a successful way. Managers focused on effective communication, so that other
stakeholders of project portfolio also influenced positively on project portfolio
management success. Future research recommended to investigate the different types of
involvement differently and its impact on the project termination quality and project
portfolio management success (Unger, Kock, Gemünden, & Jonas 2012). Researchers
mentioned the relationship between stakeholders by good communications. This
enhanced the project portfolio management performance. Internal stakeholders had direct
impact on the project portfolio management success.
Following hypotheses were developed to test the relationship of the internal stakeholder’s
engagement with the PPM:
H1: The greater the Internal Stakeholder’s Engagement in PPM, the better
prospects for success of PPM.
Internal stakeholders directly affected the project portfolio management success. Internal
stakeholders included different kind of managers. Study researched about the internal
stakeholders and their impact on the project portfolio success. Study described that
Project managers, project portfolio managers, senior managers and line managers had
positive or significant effect on the portfolio project success. Study analyzed the gap of
the significance level of different internal stakeholders on the project success. Further
research recommended on external key stakeholders who directly involved in the project
portfolio management success (Beringer, Jonas & Kock, 2013). Study mentioned the
different managers who had direct impact on the project portfolio management success.
Some internal stakeholders had significant impact on the project portfolio management
39
success. Beringer et al (2013) used role clarity as a moderator for their study and role
clarity moderated the relationship some of the managers on PPM success. How internal
stakeholder’s engagement had positive impact on the project portfolio management
success? Engagement of external stakeholders also had significant effect on the project
portfolio success.
2.3.2 Engagement of External Stakeholders in Project Portfolio Management
Normally engagement of external stakeholders was not considered important in the
project portfolio management success. In external stakeholder’s customers, suppliers,
vendors, donors and many other stakeholders were included. Study of Rosell (2013)
explained that buyer – supplier collaboration in new product development had positive
impact on the project innovation. From knowledge perspective it was observed that
supplier knowledge was combined or related with the buyer knowledge. Different
supplier’s knowledge added different contributions in the new product development in
the form of new practices, new ideas and new ways of competition (Rosell, 2013). He
mentioned only two stakeholders which were suppliers and customers. He mentioned that
supplier and customer integration effected positively and enhanced the innovation.
Engagement of customers independently had much influence on the project portfolio
management success.
2.3.2.1 Engagement of Customers
In project portfolio management involvement of external stakeholders was as important
as internal stakeholders. Hence, customers, suppliers and other stakeholders also sway the
project portfolio management success. Customers was always first preference of any
project or product development. Study of Menon et al (2005) and Voss and Kock (2013)
discussed about the moderating variables and their impact on the project portfolio
management success. Results described that relationship value of customers in portfolio
projects had a positive effect on the project success. Customer relationship value
increased the significance of the projects. There was a gap of project success by
involvement of moderating variables (Voss & Kock, 2013). Hypothesis for customer’s
engagement had been described to empirically test the relationship.
H2: The greater the customer’s engagement in PPM, the better prospects for
40
success of PPM.
Engagement of customer had significant effect on the project portfolio management
success. Study explained that customer’s relationship value in the project portfolio
management success increased the performance of the overall project portfolio
management. Customers were beneficial stakeholders in project portfolio management.
Projects can be achieved according to the requirements of the customers. So involvement
of the customers was very important and it made the project achievements easier.
Engagement of suppliers also enhanced the project portfolio management success. Both
customers and suppliers had significantly impact on the project portfolio management
success.
2.3.2.2 Engagement of Suppliers
Suppliers were the important stakeholders especially for project portfolio management.
Suppliers play vital role in the achievement of goals in the project portfolio. Supplier’s
involvement mostly preferred in the project portfolio. Study analyzed that supplier’s
involvement has become popular in portfolio projects to increase the effectiveness of the
projects. Study developed a hypothesis for supplier’s engagement as:
H3: The more effectively supplier engagement during PPM, the better prospects
for success of PPM.
Supplier engagement enhanced the effectiveness of the project portfolio management
success. Study explored the main issue was that manufacturers were not sure about
involvement with suppliers, which type of engagement they should contain with the
suppliers. In this study four types of supplier involvement introduced for development of
projects in supplier involvement portfolio. Four types of supplier involvements were
explained as direction of information flow, the communication media used, amount of
communication and the topics discussed and functions involved in portfolio projects
(Wynstra, & Pierick, 2000).They introduced the supplier engagement in the project
portfolio and mentioned that supplier engagement preferred in the project portfolio
management. Four types of suppliers discussed in the study. Each kind of supplier
affected the portfolio success in its own way. Strategies of the project portfolio
management also related with the supplier engagement.
41
Framework was the development of the project planning in which strategies, processes
and other techniques were defined which were used for the project successful completion.
Suppliers were also the part of that framework in which strategies selected for projects.
Study analyzed the framework that identified the short and long term strategic processes
related to supplier involvement (Echtelt, Wynstra, Weele, & Duysters, 2004).They
mentioned that by planning and execution of strategic processes and techniques can be
used to achieve the short term objectives and long term objectives can also be gained by
adding the supplier involvement. Authors further analyze that how companies achieve
desired goals by adding the supplier involvement? Supplier engagement showed results
in a positive way for project success.
Study mentioned that supplier involvement was beneficial for the project goal
achievement. Study of Echtelt et al (2006) analyzed that strategies used to achieve the
short and long term objectives by adding processes and involvement of the suppliers. By
adding the supplier involvement these things work with more perfection. Above studies
mentioned that now supplier engagement added in projects by decision making
approaches. New product development was a process in which companies go forward for
competition in the market. Suppliers played an important role in this era. For new product
development engagement of external stakeholders enhanced the compatibility of the
product. Companies need to set a decision making strategic processes to create a good
supplier involvement. Supplier engagement was essential for short term as well as long
term policies for new project development. There was a need to identify right partners
and perfect supplier involvement from suppliers. Companies also need to get guidelines
and directions from decision making processes for supplier engagement in projects
(Echtelt, Wynstra, Weele, &Duysters, 2006). Researchers mentioned that decision
making strategies were developed to enhance the supplier engagement in the projects.
Echtelt et al (2006) also mentioned there was need of right decision making and new
strategies for the supplier engagement. Supplier engagement improved the new product
development strategies.
Many things were related with the suppliers. Some errors made it favorable for the
projects and on the other hand some factors made it unfavorable for the projects. Previous
42
study analyzed the supplier involvement benefitted the project portfolio success in a
positive way. The possible negative and positive effects of supplier engagement on the
new product development in an organization were focused. Negative effects of supplier
engagement in new product development were communication barriers, skills and
knowledge barriers and commitment barriers. Positive effects of supplier involvement
were effectiveness and efficiency of short term product increased when suppliers were
involved. Supplier involvement also increased the product value and quality (Witlox,
2010). He mentioned some positive and negative sides of the supplier involvement.
Supplier engagement provided a lot of signs of achievements in positive direction.
External stakeholder’s engagement made goals clear and enhanced the project portfolio
management achievements. How external stakeholders had positive impact with
moderating effect of role clarity on the project portfolio management success? There was
a need to identify the involvement of internal stakeholders as well as external
stakeholders both had significant effect on project portfolio management success. Internal
stakeholders and external stakeholders helped to improve project outcomes and success.
In project portfolio management stakeholders had much influence on the projects in a
positive way to achieve project’s desired goal. Both internal and external stakeholders
were significant to achieve the overall project accomplishment in project portfolio
management. Role clarity was affecting the variables as a moderator; it increased the
efficiency of the internal and external stakeholders and had encouraging impact on the
project portfolio management success. How internal and external stakeholders had
positive impact on the project portfolio management with moderating effect of role
clarity?
2.4 Moderating Effect of Role Clarity
Study had different findings about the role clarity. Studies which have used role clarity as
a moderator mentioned here. Role clarity moderated the relationship between role
ambiguity and athlete satisfaction (Bray, Beauchamp, Eys & Carron, 2005). Bliese &
Castro (2000) also used role clarity as moderator for their study. Another study said that
need for role clarity did not moderate the relationship between the degree of role clarity
and job satisfaction (Miles & Petty, 1975). Role clarity used as moderator in both studies
but in one it was working as moderator and in another study it was not working as
43
moderator. So, role clarity moderated the independent variables depend upon the nature
of variables. Following hypotheses were developed to test the effect of role clarity as a
moderator:
H4: Role clarity moderates the relationship between internal stakeholders’
engagement and project portfolio management success.
H5: Role clarity moderates the relationship between customer's engagement and
project portfolio management success.
H6: Role clarity moderates the relationship between supplier's engagement and
project portfolio management success.
Internal stakeholders like top managers, and project managers had significant effect on
the project portfolio management success with moderation effect of role clarity. External
stakeholders like customers and suppliers engagement also show significant effect on the
project portfolio management success with moderation effect of role clarity. Beringer et
al (2013) described that role clarity had moderating effect on the project portfolio
management success. Role clarity enhanced the significance level of some internal
stakeholders and increased the success of PPM. Some internal stakeholder’s engagement
had direct relationship with the role clarity. It made clear to the managers to perform their
role in PPM. Role clarity also made clear directions to external stakeholders for their role
in PPM. It increased the impact of external stakeholders on PPM. How role clarity made
directions clear to internal and external stakeholders?
Above literature explained about different factors which directly or indirectly affected the
performance of the PPM. Factors which had positive effect on the PPM performance and
success were involvement of internal stakeholder and managers. In this literature
involvement of external stakeholders was not yet explored, and also effect of both
internal and external stakeholders on the PPM performance accomplishment was not yet
studied. This study intends to find the impact of internal and external stakeholders on the
Project Portfolio Management success.
44
2.5 Hypothesized Model
Figure: 2.0 Independent Variables Moderator Dependent Variable
Kissi et al (2013), Voss & Kock (2013) and Beringer et al (2013) focused on the impact
of the internal stakeholders on project portfolio success and Voss and Kock (2013)
explored that relationship value of external stakeholders e.g. customers with moderating
effect of portfolio characteristics and external turbulence increased the performance in
PPM. The current study determined the impact of both internal and external stakeholders
on PPM success.
Beringer et al 2013 related this research with the stakeholder theory in project portfolio
management perspective. Freeman (1984) defined a stakeholder as “any group or
individual who can affect or is affected by the achievement of the organization's
objectives. Based on this definition Beringer et al 2013 defined project portfolio
stakeholders as any group or individual in an association with a project portfolio, such
that the cluster or individual can affect or is affected by the attainment of the portfolio's
objectives with moderating role of role clarity. So this theory also supported the present
study because study perceived that stakeholder’s engagement have significant effect on
the project portfolio management success with moderating effect of role clarity.
45
The present study understand from the literature that involvement of internal stakeholders
had positive effect on the PPM success but involvement of external stakeholders in PPM
was not yet explored. So this intends to find the impact of internal as well as external
stakeholders on the project portfolio management success. Above literature was the
source to identify the variables used in this study. Figure 2.1 depict intensity of senior
manager’s engagement, intensity of line manager’s engagement, intensity of project
portfolio manager’s engagement and intensity of project manager’s engagement as
independent variables of internal stakeholders, while intensity of customer’s engagement
and intensity of supplier’s engagement are also independent variables but part of external
stakeholders. Project portfolio management success is a dependent variable. Present study
measured the project portfolio management success by strategic fit and average project
success. Role clarity is the moderating variable. The demographic variables to be used in
the current research are ‘Software House Title’, ‘Total Work Experience’ , ‘Total work
Experience of managing portfolios’ , ‘Team Strength’ , ‘ Annual Revenue’ , ‘ Duration of
Existence of Software House’ , ‘Specialty of Software House’ , ‘Span of Software house’
, ‘CMMI Ranking’ , ‘Software House Certifications’ , ‘Software House Clients’ , ‘
Number of Portfolios’ , ‘ Number of Projects in one Portfolio’ , ‘Number of Projects
Lead Successfully’ , ‘Number of Project Portfolio Managers’ , ‘Number of Project
Managers’ , ‘Project Worth’ , ‘Information is Given About’ and Designation of the
Respondents.
46
CHAPTER 3
RESEARCH DESIGN AND METHODOLOGY
47
This chapter covered the research design and methodology used in identifying and
evaluating the relationship among independent and dependent variables under this study.
Independent, dependent and moderating variables were mentioned in the model (Figure
2.1). The history of constructs had been explained in the model and further quantitative
analysis had been used to identify the outcome. It was aimed to identify the impact of
stakeholder’s engagement on project portfolio management success, in IT sector Lahore,
Pakistan.
3.1 Elements of Research Design
The research examined the relationship of internal and external stakeholders by
moderating effect of the role clarity on project portfolio management success. Internal
stakeholder’s engagement had four dimensions same used by the Beringer et al (2013)
and external stakeholder’s engagement had two further dimensions. PPM had measured
by the Average Project Success (APS) and Strategic Fit (SF) already incorporated by
Beringer et al (2013) in the same context. The elements of research design with complete
details were listed below:
3.1.1 Type of study
For the purpose of this study, Correlational design had been used (Non- Contrived), that
already has been validated by the Beringer et al (2013) in the same context. It has
targeted to study the relationship between stakeholder’s engagement and PPM success
with moderating effect of role clarity. Software houses had been selected from the city of
Lahore, Pakistan.
3.1.2 Extent of researcher interference
As it is non contrived study researcher’s interference remained minimum to get balanced
and consistent data. However, during data collection for mitigating the probability of
poor data, researcher’s interference remained compulsory in following cases:
1. To fill the questionnaire (provided under Appendix: III) used for this study with
titles ‘Software House Title’, ‘Total Work Experience’ , ‘Total work Experience
of managing portfolios’ , ‘Team Strength’ , ‘ Annual Revenue’ , ‘ Duration of
48
Existence of Software House’ , ‘Specialty of Software House’ , ‘Span of Software
house’ , ‘CMMI Ranking’ , ‘Software House Certifications’ , ‘Software House
Clients’ , ‘ Number of Portfolios’ , ‘ Number of Projects in one Portfolio’ ,
‘Number of Projects Lead Successfully’ , ‘Number of Project Portfolio Managers’
, ‘Number of Project Managers’ , ‘Project Worth’ , ‘Information is Given About’
and Designation of the Respondents who has filled the questionnaire about given
dependent and independent and moderating variables. This was significant, as IT
professionals in the highlighted IT industry remained hasty in filling the fields of
the questionnaire during the preliminary survey. For this reason researcher had to
request the concerned IT experts of the software house to provide the data about
the above mentioned fields for each and every selected IT project portfolio. For
getting the desired sample of respondents set of questionnaire hand over to the
panel of members of that IT project portfolio.
2. For getting the questionnaire refilled by the team members who filled
questionnaire either inaccurately or made mistakes, like who filled the items two
times or not filled the items at all in the questionnaire.
3.1.3 Study Setting
This is a Correlational study conducted in the field. It targeted studying the impact of
stakeholder’s engagement on project portfolio management success by measuring the
level of engagement of project manager’s and CEO’s in IT project portfolios from
selected software houses which were registered in P@SHA list is given in (Table 1,
Appendix I) managing different kind of IT project portfolios within the city of Lahore
Pakistan, from September 2012 to June 2014.
3.1.4 Time schedule
The time awarded for this study was from September 2012 to June 2014, the researcher
had started visiting the software houses since November 2013. The researcher collected
the facts and figures as external member of the IT industry until March 2014. Data had
been collected from the IT industry during this time period. Data collection had been
completed till March 2014. It was conducted as a cross-sectional study (Sekaran &
49
Bougie, 2013). Since March 2014 onward the researcher concentrated on compiling the
thesis.
3.1.5 Population
The study set its population to be the groups who were managing projects in portfolios,
undertaking considerable IT projects of different types and scopes within the selected
software houses within the city of Lahore, Pakistan. The study identified and selected its
population based on some important factors described next. As the data was collected in
between November 2013 to March 2014, the study selected the software houses who are
managing their projects in a portfolio. Information was gathered about those software
houses that were managing project in portfolios, during the June 2013 to March 2014, the
recent project portfolios can be identified in selected software houses. This was done to
make sure that the data is valid and reliable about IT project portfolios. It was necessary
to find the accurate and realistic data about the project portfolios which is being handled
in the present time. IT professionals remembered their recent project portfolios so that
they can provide us better information related to recent work rather than past project
portfolios.
Focal persons identified were CEO’s of software houses and project managers and other
managers who are involved in project management. We had taken the population
primarily from Arfa Kareem Software Technology Park (STP) and then other large
software houses in Lahore by following the pasha list. Primarily in pilot survey about 30
software houses were identified and number of software houses where projects in
portfolios are managed, in Arfa Kareem Software Technology Park are 28, list is given in
table 3 in Appendix 1. According to pilot survey number of C.E.O’s, project managers
and other managers in Arfa Kareem 30 software houses is approximately 90.
Respondents will be C.E.O’s and their nominated project managers and other managers
who are managing projects in portfolio in software houses. List of respondents is given in
table 3 in Appendix 1. In complete research survey 87 software houses according to
Pasha registered list were identified and about 65 software houses were managing their
projects in portfolio. Their details are provided in the Appendix 1. Lists of the respondent
detail in table 3, pasha registered software houses list in table 1 and Arfa Kareem
50
software houses detail is given in the table 2 in Appendix 1. Respondents identified on
the following conditions:
1. Software houses were selected where IT projects were managed in project
portfolio management.
2. Prefer those software houses where project managers were involved in the
portfolio management.
3. Organizations / software houses who were willing to provide the information
about IT project managers, portfolio managers, and projects in portfolio and about
software houses.
4. Software houses who were managing the high budget and high level IT projects in
portfolio.
3.1.6 Unit of Analysis
Respondents were C.E.O’s of software houses and their project and portfolio managers
who were managing IT projects in portfolio same has been reinforced by the Beringer et
al(2013) and Frey et al (2011) in the same context. Study tried to analyze the
involvement or level of engagement of the project managers and portfolio managers in
the project portfolio management as Beringer et al (2013) has been used for their study.
3.1.7 Sampling Design
The study adopted the Multi Stage Sampling as explained by Sekaran & Bougie (2013).
1st Stage: Selection of city, 2nd Stage: Selection of software houses, 3rd Stage: selection of
CEO’s and all type of managers who are dealing projects in portfolios (Beringer et al,
2013). From 87 software houses 65 software houses were managing their projects in
portfolio. For this study size of the identified and selected population was 195, for
achieving the 99% confidence with minimum error in results, a sample of 160
respondents was selected by ensuring that all respondents will be from those software
houses that were managing projects in portfolio confirmed by Sekaran & Bougie (2013).
Questionnaires were adopted from different studies. Survey technique was used during
data collection. 160 questionnaires were distributed out of which 100 questionnaires were
51
returned, yielding a response rate of 62.5%.The questionnaires were circulated to the
C.E.O’s and project managers of the software houses in IT industry Lahore Pakistan
already has been validated by the Beringer et al (2013) in the Germany.
3.1.8 Data Measuring Instruments
The study adopted valid scales from the previous studies, where reliability of the
instrument was available. The instrument consisted of 60 items and collected responses
on a 5 point Likert scale ranging from strongly disagree to strongly agree.
1. The first section of the questionnaire covered demographic details of each
respondent and software house including ‘Software House Title’, ‘Total Work
Experience’ , ‘Total work Experience of managing portfolios’ , ‘Team Strength’ ,
‘ Annual Revenue’ , ‘ Duration of Existence of Software House’ , ‘Specialty of
Software House’ , ‘Span of Software house’ , ‘CMMI Ranking’ , ‘Software
House Certifications’ , ‘Software House Clients’ , ‘ Number of Portfolios’ , ‘
Number of Projects in one Portfolio’ , ‘Number of Projects Lead Successfully’ ,
‘Number of Project Portfolio Managers’ , ‘Number of Project Managers’ ,
‘Project Worth’ , ‘Information is Given About’ and Designation of the
Respondent.
2. Section 2 of the questionnaire consisted of questions related to the Role Clarity
Moderating Variable RC, Dependent variables like Strategic Fit and Average
Project Success. This instrument was adopted from the study of the Beringer et al
(2013). The instrument originally (Beringer et al., 2013) had 10 items. Validity of
this construct has been assessed by confirmatory factor analysis and significance
of variables was between 0.7 and 0.83. Reliability assessed by Cronbach’s alphas,
Cronbach’s coefficients was between 0.7 and 0.8.The five point scale ranging
from 1(strongly disagree) to 5(strongly agree) had been used.
3. Section 3 of the questionnaire consisted of questions related to the Independent
Variables for External Stakeholders; Relationship value of customers contains
two further dimensions like relationship value for customers and relationship
value from customers. This instrument adopted from the study of Voss &Kock,
(2013). The instrument contained 10 items originally. This instrument was
52
customized according to the need of study and also used the same scale for the
relationship value of suppliers. So 21 items added to this section. Reliability was
assessed by Cronbach’s alphas; coefficients for these items for relationship value
for the customers and from the customers were accordingly 0.85 and 0.74.
Validity was assessed by test retest. The five point scale ranging from 1(strongly
disagree) to 5(strongly agree) had been used.
4. Section 4 of the questionnaire consisted of questions related to the Independent
Variables for Internal Stakeholders; About Managers and Senior Management
Involvement two variables was added in this section from different studies. First
variable which was about managers adopted from the study of (Kissi et al., 2013).
This instrument contained 22 items and as it was used this instrument in this
study. Second variable was senior management involvement (SMI). This
instrument adopted from the study of Unger et al (2012). This instrument
contained 7 items and all these items had been used in this study. Validity of this
scale has assessed by confirmatory factor analysis and significance of variables
was 0.96. Reliability assessed by Cronbach’s alphas, Cronbach’s coefficients was
between 0.89.The five point scale ranging from 1(strongly disagree) to 5(strongly
agree) had been used.
5. Formal Permission on email has been obtained on each variable by respective
Researchers.
1.1.9 Data Analysis
1. The statistical analysis had been carried out with the help of the SPSS 20.
2. Demographic analysis had been analyzed with the help of frequency tables
and pie charts.
3. Reliability Analysis had been employed by using Cronbach’s Alpha.
Reliability analysis had been performed to find out the consistency among
the items.
4. For analysis of the sample characteristics, Descriptive statistics of means,
frequencies, standard deviations, variance, maximum, minimum and
percentages was running.
53
5. Pearson’s Correlation had been used where applicable to determine the
relationship between Independent and Dependent variables.
6. Pair wise Hierarchical Regression had been employed to find the
relationship of variables.
7. Pair wise Hierarchal Regression Analysis had been used for Hypothesis
testing.
8. To examine the moderating effect of Role Clarity, Pair wise Hierarchical
Regression had been used.
The details and results of these tests were provided under chapter: 4.
3.1.10 Coding of Data
The variables under study were selected scores on a 5 point interval Scale. Table 3.1
showed the coding of data used for analysis and explanation.
Table: 3.1 Coding of Data
Strongly Disagree 1
Disagree 2Neutral 3Agree 4
Strongly Agree 5
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CHAPTER 4
RESULTS AND DISCUSSIONS
55
This chapter discussed the descriptive and inferential statistics drawn from the
relationship of the independent, dependent and moderating variables under study. The
descriptive portion of statistics roofed the characteristics of the variables, whereas the
inferential statistics helped to generate the results by analyzing the relationship among
variables under this study.
4.1 Introducing Variables in Research
Demographic analysis was reported to give an overview about the characteristics and
experiences of the project managers in Software Houses. The Reliability analyses were
used to test the reliability of the constructs, correlation and regression to test the
relationship between the variables and step wise hierarchal regression analyses was used
to check the effect of moderation on dependent variable. Frequency distributions
calculated for all Demographic Variables with the help of SPSS version 20. Sample data
of 100 was collected from the Software Houses in IT industry.
ISE – Represents independent variable Internal Stakeholders’ Engagement
RVC – Represents independent variable Relationship Value of Customers
RVS – Represents independent variable Relationship Value of Suppliers
RC - Represents moderating variable Role Clarity
PPS– Represents dependent variable Project Portfolio Management Success
Table: 4.1- Research Variables
ISE RVC RVS RC PPS
NValid 100 100 100 100 100
Missing 0 0 0 0 0
56
4.2 Demographic Analysis
A total of 160 questionnaires were distributed to achieve the sample size of 100 for data
analysis. Demographic characteristics are explained below:
4.2.1 Designation of the Respondent
The designations of the respondents were divided into four main brackets like
C.E.O/Director, Project Manager, IT Manager and others. The Table 4.2 and figure 4.1
showed that out of 100 respondents 25(25%) were C.E.O’s, 51(51%) were project
managers, 8(8%) were IT managers and 16(16%) were other managers who filled the
questionnaire. This implies that most of the respondents are project managers in the
software houses.
Table 4.2 Frequency distribution for demographic variable: Designation of Respondent
Frequency Percent Valid Percent Cumulative
Percent
Valid
C.E.O/ Director 25 25.0 25.0 25.0
Project Manager 51 51.0 51.0 76.0
IT Manager 8 8.0 8.0 84.0
Others 16 16.0 16.0 100.0
Total 100 100.0 100.0
25%
8%16%
51%
Designation - Frequency
ceo it managerothers project manager
Figure 4.1 Pie Chart for Frequency distribution of demographic variable: Designation of Respondent
57
4.2.2 Gender
Nominal scale was used to collect the responses about gender of the respondents. The
Table 4.3 and figure 4.2 showed that out of 100 respondents 92(92%) were Males and
8(8%) females. This implies that most of the employees in the software houses are males.
Table 4.3 - Frequency distribution for demographic variable: Gender
Frequency Percent Valid
Percent
Cumulative
Percent
Valid
male 92 92.0 92.0 92.0
female 8 8.0 8.0 100.0
Total 100 100.0 100.0
8%
92%
Gender -Frequency
female male
Figure 4.2 Pie Chart for Frequency distribution of demographic variable: Gender
58
4.2.3 Experience of Respondent
The experience of the respondents of managing projects in the software houses was
divided into four main categories like up to 2 years, 2 to 6 years, 6 to 10 years and above
10 years. The Table 4.4 and figure 4.3 showed that out of 100 respondents 9(9%) had
experience of up to 2 years, 24(24%) had experience of 2 to 6 years, 20(20%) had
experience of 6 to 10 years and 47(47%) had experience of above 10 years. This showed
that most of the respondents have experience of above 10 years of managing the projects.
Since most of the respondents were experienced therefore the study perceived that the
data was credible.
Table 4.4 - Frequency distribution for demographic variable: Experience of Respondent
Frequency Percent Valid Percent Cumulative
Percent
Valid
Up to 2 9 9.0 9.0 9.0
2 - 6 24 24.0 24.0 33.0
6 - 10 20 20.0 20.0 53.0
Above 10 47 47.0 47.0 100.0
Total 100 100.0 100.0
24%
20%46%
9%
Experience - Frequesncy
2 TO 6 6 TO 10 ABOVE 10 UP TO 2
Figure 4.3 Pie Chart for Frequency distribution of demographic variable: Experience of Respondent
59
4.2.4Experience of Project Portfolio Management
The experience of respondents of managing projects in portfolio in the software houses
was divided into four main groups like up to 2 years, 2 to 6 years, 6 to 10 years and above
10 years. The Table 4.5 and figure 4.4 showed that out of 100 respondents 34(34%) had
experience of up to 2 years, 22(22%) had experience of 2 to 6 years, 16(16%) had
experience of 6 to 10 years and 28(28%) had experience of above 10 years. These
percentages mention that most of the respondents have experience up to 2 years of
managing the projects in portfolios. Most of the managers have recently initiated to
manage the projects in the portfolio.
Table 4.5 - Frequency distribution for demographic variable: Experience of PPM
Frequency Percent Valid Percent Cumulative
Percent
Valid
Up to 2 34 34.0 34.0 34.0
2 - 6 22 22.0 22.0 56.0
6 - 10 16 16.0 16.0 72.0
Above 10 28 28.0 28.0 100.0
Total 100 100.0 100.0
22%
16%
28%
33%
Experience of PPM - Frequency
2 TO 6 6 TO 10 ABOVE 10 UP TO 2
Figure 4.4 Pie Chart for Frequency distribution of demographic variable: Experience of PPM
60
4.2.5 Number of Employees
The number of employees of the software houses was divided into four main categories
like less than 50, 50 to 100,100 to 200 and above 200. The Table 4.6 and figure 4.5 show
that 69(69%) respondents were from those software houses who had less than 50
employees, 19(19%) respondents were from those software houses who had 50 to 100
employees, 3(3%) respondents were from those software houses who had 100 to 200
employees and 9(9%) respondents were from those software houses who had above 200
employees. This study implies that most of the software houses have employees less than
50.
Table 4.6 - Frequency distribution for demographic variable: Employees
Frequency Percent Valid Percent Cumulative
Percent
Valid
Less than 50 69 69.0 69.0 69.0
50 - 100 19 19.0 19.0 88.0
100 - 200 3 3.0 3.0 91.0
Above 200 9 9.0 9.0 100.0
Total 100 100.0 100.0
3%
19%
9%
69%
Employees - Frequency
100 to 200 50 to 100 ABOVE 200 less than 50
Figure 4.5 Pie Chart for Frequency distribution of demographic variable: Employees
61
4.2.6Annual Revenue of Software House
The annual revenue of the software houses was divided into three main brackets like up
to 1$ million, between1 to 2$ million and above 2$ million. The Table 4.7 and Figure 4.6
showed that 63(63%) respondents were from those software houses who earn up to 1$
million revenue annually, 11(11%) respondents were from those software houses who
earn up to 1-2$ million revenue annually and 26(26%) %) respondents were from those
software houses who earn up to above 2$ million revenue annually. This study showed
that most of the software houses were highly budgeted and reputed.
Table 4.7 - Frequency distribution for demographic variable: Revenue
Frequency Percent Valid Percent Cumulative
Percent
Valid
Up to 1$ million 63 63.0 63.0 63.0
Between 1 - 2$ million 11 11.0 11.0 74.0
Above 2$ million 26 26.0 26.0 100.0
Total 100 100.0 100.0
26%
11%63%
Revenue - Frequency
Above 2$ million between 1 to 2$ million up to 1$ million
Figure 4.6 Pie Chart for Frequency distribution of demographic variable: Revenue
62
4.2.7Existence of Software House
The existence of the software houses was divided into four main groups like less than 2
years, 2 to 4 years, 4 to 6 years and above 6 years. The Table 4.8 and figure 4.7 showed
that 6(6%) respondents were from those software houses who had less than 2 years to
exist, 10(10%) respondents were from those software houses who had 2 to 4 years to
exist, 7(7%) respondents were from those software houses who had 4 to 6 years to exist
and 77(77%) respondents were from those software houses who had 2 to 4 years to exist.
This implies that most of the software houses have existence of above 6 years, it means
software houses were more competent and providing high quality work in project
portfolios.
Table 4.8 - Frequency distribution for demographic variable: Existence of S.H
Frequency Percent Valid Percent Cumulative
Percent
Valid
Less than 2 6 6.0 6.0 6.0
2 - 4 10 10.0 10.0 16.0
4 - 6 7 7.0 7.0 23.0
Above 6 77 77.0 77.0 100.0
Total 100 100.0 100.0
10%7%
77%
6%
Existence - Frequency
2 to 4 4 to 6 Above 6 Up to 2
63
Figure 4.7 Pie Chart for Frequency distribution of demographic variable: Existence of S.H
4.2.8 Specialty of Software House
The specialty of the software houses was divided into four main categories like databases,
mobile apps, websites, and multiple technologies. The Table 4.9 and figure 4.8 showed
that 2(2%) respondents were from those software houses who deal in databases, 4(4%)
respondents were from who deal in mobile apps, 8(8%)respondents were from those who
deal in websites, 86(86%) respondents were from those who deal in multiple
technologies. This showed that most of the software houses were dealing in all
technologies. This supported the diversity of the operations of software houses.
Table 4.9 - Frequency distribution for demographic variable: Specialty
Frequency Percent Valid Percent Cumulative
Percent
Valid
Databases 2 .8 2.0 2.0
Mobile apps 4 1.5 4.0 6.0
Websites 8 3.1 8.0 14.0
Multiple Technologies 86 86.0 86.0 100.0
Total 100 38.6 100.0
2% 4%
86%
8%
Specialty - Frequency
DATABASES MOBILE APPSMULTIPLE TECHNOLOGIES WEBSITES
Figure 4.8 Pie Chart for Frequency distribution of demographic variable: Specialty
64
4.2.9 Span of Software House
The span of the software houses were divided into four main categories like within
Pakistan, within subcontinent, within Asia and across the world wide. The Table 4.10 and
figure 4.9 showed that 18(18%) respondents were from those software houses who deal
within Pakistan, 8(8%) deal within subcontinent, 14(14%) deal within Asia and 60(60%)
deal across the world wide. These percentages mentioned that most of the software
houses were operating internationally.
Table 4.10 - Frequency distribution for demographic variable: Span of Software House
Frequency Percent Valid Percent Cumulative
Percent
Valid
Within Pakistan 18 18.0 18.0 18.0
Within Subcontinent 8 8.0 8.0 26.0
Within Asia 14 14.0 14.0 40.0
Across the World Wide 60 60.0 60.0 100.0
Total 100 100.0 100.0
60%
8%
18%
14%
Span - Frequency
across the world wide within asiawithin pakistan within subcontinent
Figure 4.9 Pie Chart for Frequency distribution of demographic variable: Span of Software House
65
4.2.10 CMMI Ranking of Software House
The CMMI ranking of the software houses was divided into four main levels explained as
level 1, level 2, level 3 and level 4. The Table 4.11and figure 4.10 showed that 28(28%)
respondents were from those software houses who had level 1, 22(22%) have level 2,
47(47%) had level 3 and 3(3%) had level 4. These percentages mentioned that most of
the software houses have level 3 of CMMI ranking; it means these software houses have
high certification due to high quality of work and good reputation.
Table 4.11 - Frequency distribution for demographic variable: CMMI Ranking
Frequency Percent Valid Percent Cumulative
Percent
Valid
Level 1 28 28.0 28.0 28.0
Level 2 22 22.0 22.0 50.0
Level 3 47 47.0 47.0 97.0
Level 4 3 3.0 3.0 100.0
Total 100 100.0 100.0
28%
22%
46%
3%
CMMI Ranking - Frequency
Level 1 Level 2 Level 3 Level 4
Figure 4.10 Pie Chart for Frequency distribution of demographic variable: CMMI Ranking
66
4.2.11 Certifications of Software House
The certifications of the software houses were divided into four main certifications like
ISO certified, IEEE certified, both a and b and others. The Table 4.12 and figure 4.11
showed that 46(46%) respondents were from those software houses who was ISO
certified, 19(19%) had IEEE certified, 24(24%) had both ISO and IEEE certified and
11(11%) had other certifications. This implies that most of the software houses in Lahore
were ISO certified.
Table 4.12 - Frequency distribution for demographic variable: Certifications
Frequency Percent Valid Percent Cumulative
Percent
Valid
ISO certified 46 46.0 46.0 46.0
IEEE certified 19 19.0 19.0 65.0
Both a and b 24 24.0 24.0 89.0
Others 11 11.0 11.0 100.0
Total 100 100.0 100.0
24%
19%45%
11%
Certification - Frequency
Both A & B IEEE Certified ISO Certified Others
Figure 4.11 Pie Chart for Frequency distribution of demographic variable: Certifications
67
4.2.12 Clients of Software House
The clients of the software houses were divided into four main groups like international,
national, local and both a and b. The Table 4.13 and figure 4.12 showed that 69(69%)
respondents were from those software houses who had International clients, 19(19%) had
national clients, 2(2%) had local clients and 10(10%) had both international and national
clients. These percentages mentioned that due to high quality not only national clients but
also international clients relied on the services provided by software houses in Lahore.
Table 4.13 - Frequency distribution for demographic variable: Clients
Frequency Percent Valid Percent Cumulative
Percent
Valid
International 69 69.0 69.0 69.0
National 19 19.0 19.0 88.0
Local 2 2.0 2.0 90.0
Both a and b 10 10.0 10.0 100.0
Total 100 100.0 100.0
10%
69%
2%
19%
Clients - Frequency
Both A & B International Local National
68
Figure 4.12 Pie Chart for Frequency distribution of demographic variable: Clients
4.2.13 Number of Portfolios in Software House
The number of portfolios in the software houses was divided into four main brackets like
less than 2, 2 to 4, 4 to 6 and above 6. The Table 4.14 and figure 4.13 showed that
40(40%) respondents were from those software houses who had dealing with less than 2
portfolios, 18(18%) had dealing with 2 to 4 portfolios, 14(14%) had dealing with 4 to 6
portfolios and 28(28%) had dealing with above 6 portfolios. These percentages showed
that mostly software houses were managing less than two portfolios at a time, but in one
portfolio large number of projects were monitored.
Table 4.14 - Frequency distribution for demographic variable: No of Portfolios
Frequency Percent Valid Percent Cumulative
Percent
Valid
Less than 2 40 40.0 40.0 40.0
2 - 4 18 18.0 18.0 58.0
4 - 6 14 14.0 14.0 71.0
Above 6 28 28.0 28.0 100.0
Total 100 100.0 100.0
18%
14%
28%
39%
No. of Portofolios - Frequency
2 to 4 4 to 6 Above 6 Less than 2
Figure 4.13 Pie Chart for Frequency distribution of demographic variable: No of Portfolios
69
4.2.14 Number of Projects in Software House
The number of projects in the software houses was divided into four main categories like
Less than 2, 2 to 4, 4 to 6 and above 6. The Table 4.15 and figure 4.14 showed that
10(10%) respondents were from those software houses who had dealing with less than 2
portfolios, 14(14%) had dealing with 2 to 4 portfolios, 14(14%) had dealing with 4 to 6
portfolios and 62(62%) had dealing with above 6 portfolios. The study perceived that
mostly software houses were dealing diversified and large number of projects.
Table 4.15 - Frequency distribution for demographic variable: No of Projects
Frequency Percent Valid Percent Cumulative
Percent
Valid
2 - 4 10 10.0 10.0 10.0
4 - 6 14 14.0 14.0 24.0
6 - 8 14 14.0 14.0 38.0
Above 8 62 62.0 62.0 100.0
Total 100 100.0 100.0
10%
14%
14%62%
No. of Projects - Frequency
2 to 4 4 to 6 6 to 8 Above 8
Figure 4.14 Pie Chart for Frequency distribution of demographic variable: No of Projects
70
4.2.15 Number of Projects successful in Software House
The number of projects successful in the software houses was divided into four main
groups like 2 to 4, 4 to 6, 6 to 8 and above 8. The Table 4.16 and figure 4.15 showed that
9(9%) respondents were from those software houses who had dealing with 2 to 4 projects
successful, 11(11%) had dealing with 4 to 6 projects successful, 20(20%) had dealing
with 6 to 8 projects successful and 60(60%) had dealing with above 8 projects
successful. These results showed that most of the projects were successfully managed by
software houses in Lahore.
Table 4.16 - Frequency distribution for demographic variable: Projects Successful
Frequency Percent Valid Percent Cumulative
Percent
Valid
2 - 4 9 9.0 9.0 9.0
4 - 6 11 11.0 11.0 20.0
6 - 8 20 20.0 20.0 41.0
Above 8 60 60.0 60.0 100.0
Total 100 100.0 100.0
9%
11%
20%60%
Successful Projects - Frequency
2 to 4 4 to 6 6 to 8 Above 8
Figure 4.15 Pie Chart for Frequency distribution of demographic variable: Projects Successful
71
4.2.16 Number of Project Portfolio Managers in Software House
The number of project portfolio managers in the software houses was divided into four
main brackets like Less than 2, 3 to 4 and 5 to 6 and above 6. The Table 4.17 and figure
4.16 showed that 77(77%) respondents were from those software houses who had Less
than 2 project portfolio managers, 7(7%) had 3 to 5 project portfolio managers, 15(15%)
had 5 to 6 project portfolio managers and 1(1%) had less than 6 project portfolio
managers. From this the study perceived that most of the software houses in Lahore
employed less than 2 project portfolio managers.
Table 4.17 - Frequency distribution for demographic variable: Project Portfolio Managers
Frequency Percent Valid Percent Cumulative
Percent
Valid
Less than 2 77 77.0 77.0 77.0
3 - 4 7 7.0 7.0 84.0
5 – 6
Above 6
15
1
15.0
1.0
15.0
1.0
99.0
100.0
Total 100 100.0 100.0
7%
15%
77%
1%
No. of PPMs - Frequency
3 to 4 5 to 6 Above 6 Less than 2
72
Figure 4.16 Pie Chart for Frequency distribution of demographic variable: Project Portfolio Managers
4.2.17 Number of Project Managers in Software House
The number of project managers in the software houses was divided into four main
brackets like Less than 2, 2 to 4, 4 to 6 and above 6. The Table 4.18 and figure 4.17
showed that 4(4%) respondents were from those software houses who had less than 2
project managers, 18(18%) had 2 to 4 project managers, 18(18%) had 4 to 6 project
managers and 60(60%) had above 6 project managers. The study explained that most of
the software houses in Lahore employed more than six project managers with good skills
and experience.
Table 4.18 - Frequency distribution for demographic variable: Project Managers
Frequency Percent Valid Percent Cumulative
Percent
Valid
Less than 2 4 4.0 4.0 4.0
2 - 4 18 18.0 18.0 22.0
4 - 6 18 18.0 18.0 40.0
Above 6 60 60.0 60.0 100.0
Total 100 100.0 100.0
18%
18%
60%
4%
No. of PMs - Frequency
3 to 4 5 to 6 Above 6 Less than 2
73
Figure 4.17 Pie Chart for Frequency distribution of demographic variable: Project Managers
4.2.18 Project Worth of Software House
The project worth of software houses was divided into three main categories like less
than 1 million, between 1 & 2 million and more than 2 million. The Table 4.19 and figure
4.18 showed that 29(29%) respondents were from those software houses had project
worth of less than 1 million, 37(37%) had project worth of between 1 & 2 million and
34(34%) had project worth of more than 2 million. The study implies that software
houses in Lahore were highly reputed and high budgeted, and also managing high
budgeted projects.
Table 4.19 - Frequency distribution for demographic variable: Project Worth
Frequency Percent Valid Percent Cumulative
Percent
Valid
Less than 1 million 29 29.0 29.0 29.0
Between 1 & 2 million 38 38.0 38.0 67.0
More than 2 million 33 33.0 33.0 100.0
Total 100 100.0 100.0
33%
37%
29%
Project Worth - Frequency
Above 2 million between 1 to 2 million up to 1 million
Figure 4.18 Pie Chart for Frequency distribution of demographic variable: Project Worth
74
4.2.19 Information About
The information about managers was divided into five main brackets like top managers,
line managers, project portfolio managers, project managers and both a and d. The Table
4.20 and figure 4.19 showed that 30(30%) information was provided by top managers,
6(6%) information was provided about line managers, 8(8%) information was about
project portfolio managers, 34(34%) information was about project managers and
22(22%) information was about both top and project managers. As the data showed that
most of the respondents were project managers this implies that information gathered was
more reliable and accurate.
Table 4.20 - Frequency distribution for demographic variable: Information About
Frequency Percent Valid Percent Cumulative
Percent
Valid
Top Manager 30 30.0 30.0 30.0
Line Manager 6 6.0 6.0 36.0
Project Portfolio Manager 8 8.0 8.0 44.0
Project Manager 34 34.0 34.0 78.0
Both a and d 22 22.0 22.0 100.0
Total 100 100.0 100.0
22%
6%
33%8%
30%
Information Given About - Frequency
both a and d line managersproject managers project portfolio managertop managers
75
Figure 4.19 Pie Chart for Frequency distribution of demographic variable: Information About
4.3 Descriptive Analysis
The Descriptive analysis is a procedure allowing the researcher to sketch and give
explanation of many crucial parts of data with a small number of indexes. The measures
of central tendency and measures of variability i.e. mean, maximum, minimum, standard
deviation and variance are explained in Table 4.21.
Table 4.21 – Descriptive Analysis
N Minimum Maximum Mean Std. Deviation Variance
ISE 100 3.00 5.00 4.0597 .41875 .175
RVC 100 3.00 5.00 4.0764 .41221 .170
RVS 100 3.00 5.00 4.0560 .47254 .223
RC 100 3.00 5.00 4.1400 .38815 .151
PPMS 100 1.00 5.00 3.8700 .93701 .878
Valid N (list wise) 100
Table 4.21 shows that Variance of Internal Stakeholders’ Engagement (ISE) which is an
independent variable (0.175) is lesser than its standard deviation (0.41875), which
mention that most of the respondents remained higher than the mean value for this
variable. The mean value is 4.0597. Results indicate that software houses have
involvement of internal stakeholders. Mean value more than 3.5 and standard deviation
less than 1 show positive response (Sekaran & Bougie, 2013). This study explains that
internal stakeholders have much involvement in the project portfolio management
success. Internal stakeholders like top managers, line managers, project portfolio
managers and project managers have much involvement in the project portfolio
management success.
Variance of Relationship Value of Customers (RVC) which is independent variable is
(0.170) which is lesser than its Standard Deviation (0.41221), which shows that most of
the respondents remained higher than the mean value for this variable. The mean value is
76
4.0764. Result shows that involvement of external stakeholders like relationship value of
customers is high. In software houses mostly customized projects are managed that’s why
customer involvement is high in this study. This study mentions that external
stakeholders like relationship value of customers also show high involvement in the
project portfolio management success.
Variance of Relationship Value of Suppliers (RVS) which is independent variable is
(0.223) which is lower than its standard deviation (0.47254), which shows that most of
the respondents remain much higher than the mean value for this variable. The mean
value for this variable is 4.0560. Results mention that involvement of external
stakeholders like relationship value of suppliers is also high. This study shows that
involvement of external stakeholders as relationship value of suppliers is also high in
project portfolio management success.
Variance of moderator Role Clarity (RC) is (0.151) smaller than its standard deviation
which is (0.38815), which describe that most of the values go higher than the mean value
for this variable. The mean value is 4.1400 for this variable. Mean value is much high of
this variable. Mean value above than 3.5 shows that variable is performing higher than its
average value which is good or in favor of the study (Sekaran & Bougie, 2013).
Descriptive results for this study mention that moderator have much involvement in
increasing the project portfolio success. Role clarity enhances the level of success for
project portfolio management in this study. Role clarity has positive results in the favor
of this study.
Variance of the project portfolio management (PPMS) success which is a dependent
variable is (0.878) is lower than its standard deviation (0.93701), which explain that most
of the values remain higher than the average value. The mean value is 3.870 for this
dependent variable. All independent variables have mean values greater than 3.5. This
shows that all the independent variables and moderating variable has positive impact on
the dependent variable project portfolio management success.
77
Correlations were calculated to test the planned relationship and involvement among the
dependent and independent variables. Pearson’s coefficient of correlation have been used
by using SPSS 20.0
4.4.1 Pearson’s Correlation
Pearson’s correlation was used because the study planned a linear relationship between
variables with one another. All independent and dependent variables show significance at
0.05. Table 4.22 describes the Pearson’s coefficient of correlation among different
variables.
Table – 4.22 Pearson’s Coefficient of Correlations
ISE RVC RVS RC PPMS
ISE
Pearson Correlation 1 .605** .522** .479** .244*
Sig. (2-tailed) .000 .000 .000 .014
N 100 100 100 100 100
RVC
Pearson Correlation .605** 1 .806** .674** .427**
Sig. (2-tailed) .000 .000 .000 .000
N 100 100 100 100 100
RVS
Pearson Correlation .522** .806** 1 .609** .380**
Sig. (2-tailed) .000 .000 .000 .000
N 100 100 100 100 100
RC
Pearson Correlation .479** .674** .609** 1 .310**
Sig. (2-tailed) .000 .000 .000 .002
N 100 100 100 100 100
PPM
S
Pearson Correlation .244* .427** .380** .310** 1
Sig. (2-tailed) .014 .000 .000 .002
N 100 100 100 100 100
**. Correlation is significant at the 0.01 level (2-tailed).
*. Correlation is significant at the 0.05 level (2-tailed).
78
According to the Table 4.22
1. The Pearson’s coefficient of correlation (r) for RVC and ISE is (0.605). Generally
variables with a Pearson’s coefficient of correlation between 0.4 to 0.7 and
significance at p-value are less than 0.05 are assumed to be correlated as weak to
strong (Sekaran & Bougie, 2013). So relationship between RVC and ISE is
positively correlated because (r = 0.605, p < 0.05). RVC and ISE show strong
positive correlation between these two variables.
2. The Pearson’s coefficient of correlation (r) for RVS and ISE is (0.522). Normally
variables with a Pearson’s coefficient of correlation more than 0.4 and
significance at p-value are less than 0.05 are assumed to be correlated (Sekaran &
Bougie, 2013). So relationship between RVS and ISE is correlated because (r =
0.522, p < 0.05). RVS and IS show positive correlation between these two
variables.
3. The Pearson’s coefficient of correlation (r) for RVS and RVC is (0.806).
Generally variables with a Pearson’s coefficient of correlation more than 0.7 and
significance at p-value are less than 0.05 are assumed to be highly correlated
(Sekaran & Bougie, 2013). So relationship between RVS and RVC is highly
correlated because (r = 0.806, p < 0.05). RVS and RVC show highly strong
positive correlation between these two variables.
4. The Pearson’s coefficient of correlation (r) for RC and ISE is (0.479). Normally
variables with a Pearson’s coefficient of correlation between .40 to 0.70 and
significance at p-value are less than 0.05 are assumed to be correlated week to
strong (Sekaran & Bougie, 2013). So relationship strength between RC and ISE is
moderately correlated because (r = 0.479, p < 0.05). RC and ISE show positive
correlation between these two variables.
5. The Pearson’s coefficient of correlation (r) for RC and RVC is (0.674). Normally
variables with a Pearson’s coefficient of correlation between .40 to 0.70 and
significance at p-value are less than 0.05 are assumed to be correlated week to
strong (Sekaran & Bougie, 2013). So relationship strength between RC and RVC
strongly correlated because (r = 0.674, p < 0.05). RC and RVC show strongly
positive correlation between these two variables.
79
6. The Pearson’s coefficient of correlation (r) for RC and RVS is (0.609). Normally
variables with a Pearson’s coefficient of correlation between .40 to 0.70 and
significance at p-value are less than 0.05 are assumed to be correlated week to
strong (Sekaran & Bougie, 2013). So relationship strength between RC and RVS
is also strongly correlated because (r = 0.609, p < 0.05). RC and RVS show
strongly positive correlation between these two variables.
7. The Pearson’s coefficient of correlation (r) for PPMS and ISE is (0.244).
Normally variables with a Pearson’s coefficient of correlation less than .40 and
significance at p-value are less than 0.05 are assumed to be weakly correlated
(Sekaran & Bougie, 2013). So relationship strength between PPS and ISE is
strongly correlated because (r = 0.244, p < 0.05). PPMS and ISE show weak
positive correlation between these two variables.
8. The Pearson’s coefficient of correlation (r) for PPMS and RVC is (0.427).
Normally variables with a Pearson’s coefficient of correlation more than 0.40 and
significance at p-value are less than 0.05 are assumed to be correlated (Sekaran &
Bougie, 2013). So relationship strength between PPMS and RVC is correlated
because (r = 0.427, p < 0.05). PPMS and RVC show positive correlation between
these two variables.
9. The Pearson’s coefficient of correlation (r) for PPMS and RVS is (0.380).
Normally variables with a Pearson’s coefficient of correlation near to 0.40 or
exact 0.40 and significance at p-value is less than 0.05 are assumed to be
correlated (Sekaran & Bougie, 2013). So relationship strength between PPMS and
RVS is correlated because (r = 0.380, p < 0.05). PPMS and RVS show positive
correlation between these two variables.
10. The Pearson’s coefficient of correlation (r) for PPMS and RC is (0.310).
Normally variables with a Pearson’s coefficient of correlation near to 0.40 or
exact 0.40 and significance at p-value is less than 0.05 are assumed to be
correlated (Sekaran & Bougie, 2013). So relationship strength between PPMS and
RC is slightly correlated because (r = 0.310, p < 0.05). PPMS and RC show
positive correlation between these two variables.
80
4.4.2Collinearity Diagnostic Test
Some independent variables show high correlation with each other. To check the
Multicollinearity among independent variables Collinearity diagnostic test have been
employed on the data with the help of SPSS 20.0.
Table - 4.23CollinearityStatistics
Model Tolerance VIF
(Constant)ISE .622 1.606
RVC .270 3.707RVS .342 2.925RC .526 1.900
Variance inflation factor (VIF) <10= no Multicollinearity
Table 4.23 mentions the scores of the variance inflation factor of independent variables.
Table also mentions the values of tolerance for each independent variable. The value of
tolerance > 0.20 will be favorable and score of variance inflation factor < 10 will be
acceptable (Freund et al., 2010). The scores of variance inflation factor of all independent
variables are less than 10 and values of tolerance for each independent variable is more
than 0.20, so there is no Multicollinearity among the independent variable
81
4.5 Model Evaluation
Model evaluation analyzed by the employing the reliability and secondly the significance
of hypothesized model.
4.5.1 Measuring Reliability
Reliability had been measured by Cronbach’s alpha. Values of alpha were explained by the table 4.24.
Table – 4.24 Reliability
Cronbach’s Alpha No. of ItemsInternal Stakeholders’
Engagement (ISE)0.967 29
Relationship Value of Customers (RVC)
0.905 11
Relationship Value of Suppliers (RVS)
0.929 10
Role Clarity 0.790 4Project Portfolio
Management Success (PPMS)
0.908 6
Overall 0.973 60
Table 4.24 showed the values of Cronbach’s alpha and number of items by each variable.
The study used Cronbach’s alpha for finding the reliability of items. Cronbach’s alpha
measured if items in chosen instrument are significantly correlated. Reliability values
above 0.60 were good and significant (Sekaran & Bougie, 2013). The overall model
reliability is 0.973which is highly reliable and individual variables reliability is also with
high values as explained in the table 4.24.
82
4.6 Verification of independent variables by Pair wise Hierarchal Regression
Verification of model analyzed independently for each independent variable. For regression analysis Zcrores has been used during moderation testing in analysis. Unger et al. (2012) had also been used the Zscores for moderation testing. We would be testing our hypotheses by employing pair wise hierarchal regression as it reduced the chances of committing Type I and Type II errors (Mazzocchi, 2008). This method is considered best for theory testing as pair wise regression techniques are influenced by random variation in the data (Field, 2009).Within hierarchal regression, we entered our predictors based on the approach proposed by (Zhou, et al., 2005). Recently (Alvi, 2013) also used pair wise hierarchal regression in his analysis.
4.6.1 Verification of Internal Stakeholder’s Engagement
Verification of internal stakeholder’s engagement has been explained by the following tables.
Table – 4.25 Model Summary for ISE
Model R R Square Adjusted R
Square
Std. Error of
the Estimate
1 .244a .060 .050 .97460826
2 .329b .108 .090 .95418768
3 .381c .145 .118 .93905352
a. Predictors: (Constant), Zscore(ISE)
b. Predictors: (Constant), Zscore(ISE), Zscore(RC)
c. Predictors: (Constant), Zscore(ISE), Zscore(RC), (ISE*RC)
Table 4.25 highlight the value of R square is 0.145 for the internal stakeholder’s
engagement which is an independent variable. According to the (Sekaran & Bougie,
2013) R square > 0.25 is significant and show strong relationship between independent
and dependent variable. For independent variables R square less than 0.25 is also
acceptable. And standard error < 1.0 also show strong relationship among independent
and dependent variables. Table 4.25 mention (R square = 0.145, standard error =
0.93905). These results show positive relationship between internal stakeholder’s
engagement, role clarity and project portfolio success. According to the results show in
table 4.25 internal stakeholder’s engagement have positive relationship with the project
portfolio management success.
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Table – 4.26 ANOVA for ISE
Model Sum of
Squares
df Mean Square F Sig.
1
Regression 5.914 1 5.914 6.226 .014b
Residual 93.086 98 .950
Total 99.000 99
2
Regression 10.684 2 5.342 5.867 .004c
Residual 88.316 97 .910
Total 99.000 99
3
Regression 14.345 3 4.782 5.423 .002d
Residual 84.655 96 .882
Total 99.000 99
a. Dependent Variable: Zscore(PPMS)
b. Predictors: (Constant), Zscore(ISE)
c. Predictors: (Constant), Zscore(ISE), Zscore(RC)
d. Predictors: (Constant), Zscore(ISE), Zscore(RC), (ISE*RC)
Table – 4.27 Coefficients for ISE
Model Unstandardized Coefficients Standardized
Coefficients
T Sig.
B Std. Error Beta
1(Constant) -3.349E-015 .097 .000 1.000
Zscore(ISE) .244 .098 .244 2.495 .014
2
(Constant) -1.015E-015 .095 .000 1.000
Zscore(ISE) .125 .109 .125 1.141 .257
Zscore(RC) .250 .109 .250 2.289 .024
3
(Constant) -.057 .098 -.586 .559
Zscore(ISE) .101 .108 .101 .936 .351
Zscore(RC) .234 .108 .234 2.172 .032
Interaction1
(ISE*RC).121 .059 .195 2.038 .044
a. Dependent Variable: Zscores(PPMS)
Table 4.26 mentions the results of ANOVA. Model show values (F = 5.423, p = 0.002).
Sekaran & Bougie (2013) explained p < 0.05 considered significant. So model for
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internal stakeholder’s engagement is highly significant according to these results. Overall
model shows positive significant results.
Table 4.27 shows the results of beta coefficients and significance level for the internal
stakeholder’s engagement. Model mention the values for internal stakeholders (β = 0.101,
p = 0.351) it means internal stakeholder’s engagement have positive relationship with the
project portfolio management success but not significant change occur in the project
portfolio management success due to internal stakeholder’s engagement. Role clarity
independently show results (β = 0.234, p = 0.032). (Sekaran & Bougie, 2013) explained p
< 0.05 considered significant. This shows that role clarity independently have positive
significant effect on the project portfolio management success. Results of the interaction
of internal stakeholders engagement and role clarity shows that (β = 0.195, p = 0.044).
According to these results role clarity as a moderator is working. Internal stakeholder’s
engagement with moderating effect has significant positive effect on the project portfolio
management success. Internal stakeholder’s engagement impact on project portfolio
management success is insignificant, but with moderating effect of the role clarity
internal stakeholder’s engagement have positive and significant effect on the project
portfolio management success.
4.6.2 Verification of Customer’s Engagement
Verification of customer’s engagement had been explained by the following tables.
Table – 4.28 Model Summary for RVC
Model R R Square Adjusted R
Square
Std. Error of
the Estimate
1 .427a .182 .174 .90906264
2 .478b .229 .213 .88729329
a. Predictors: (Constant), Zscore(RVC)
b. Predictors: (Constant), Zscore(RVC), (RVC*RC)
Table 4.28 highlight the value of R square is 0.229 for the customer’s engagement which
is an independent variable. According to the (Sekaran & Bougie, 2013) R square > 0.25 is
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significant and show strong relationship between independent and dependent variable.
For independent variables R square less than 0.25 is also acceptable. And standard error
<1.0 also show strong relationship among independent and dependent variables. Table
4.28 mention (R square = 0.229, standard error = 0.88729). These results show positive
relationship between customer engagement and project portfolio success. According to
the results show in table 4.28 customer engagement has positive relationship with the
project portfolio management success.
Table – 4.29 ANOVA for RVC
Model Sum of
Squares
df Mean Square F Sig.
1
Regression 18.013 1 18.013 21.797 .000b
Residual 80.987 98 .826
Total 99.000 99
2
Regression 22.633 2 11.316 14.374 .000c
Residual 76.367 97 .787
Total 99.000 99
a. Dependent Variable: Zscore(PPMS)
b. Predictors: (Constant), Zscore(RVC)
c. Predictors: (Constant), Zscore(RVC), (RVC*RC)
Table 4.29 mentions the results of ANOVA. Model show values (F = 14.374, p = 0.000).
Sekaran & Bougie, (2013) explained p < 0.05 considered significant. So model for
customer’s engagement is highly significant according to these results. Overall model for
this independent variable shows positive and significant results.
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Table – 4.30 Coefficients for RVC
Model Unstandardized Coefficients Standardized
Coefficients
t Sig.
B Std. Error Beta
1(Constant) -3.595E-015 .091 .000 1.000
Zscore(RVC) .427 .091 .427 4.669 .000
2
(Constant) -.084 .095 -.879 .382
Zscore(RVC) .391 .090 .391 4.333 .000
Interaction2
(RVC*RC).125 .052 .219 2.422 .017
a. Dependent Variable: Zscore(PPMS)
Table 4.30 show the results of beta coefficients and significance level for the customer’s
engagement. Model mention the values for customer engagement (β = 0.391, p = 0.000)
it means customer’s engagement have positive and highly significant relationship with
the project portfolio management success Sekaran & Bougie, 2013 explained p < 0.05
considered significant. This Results of the interaction of customer’s engagement and role
clarity shows that (β = 0.219, p = 0.017). According to these results role clarity as a
moderator is working. Customer engagement is also significant with the moderating
effect of the role clarity. Customer’s engagement has significant effect on the project
portfolio management success. Customer’s engagement with moderator also enhanced
the effect on the project portfolio management success.
4.6.3 Verification of Supplier’s Engagement
Verification of supplier’s engagement had been explained by the following tables.
Table – 4.31 Model Summary for RVS
Model R R
Square
Adjusted-R
Square
S.E. of the
Estimate
1 .380a .145 .136 .92949893
2 .430b .185 .168 .91217905
a. Predictors: (Constant), Zscore(RVS)
b. Predictors: (Constant), Zscore(RVS), (RVS*RC)
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Table 4.31 highlight the value of R square is 0.185 for the supplier’s engagement which
is an independent variable. According to the (Sekaran & Bougie, 2013) R square > 0.25 is
significant and show strong relationship between independent and dependent variable.
For independent variables R square less than 0.25 is also acceptable. And standard error <
1.0 also show strong relationship among independent and dependent variables. Table 4.31
mention (R square = 0.185, standard error = 0.91217). These results show positive
relationship between supplier engagement and project portfolio success. According to the
result supplier engagement has positive relationship with the project portfolio
management success.
Table – 4.32 ANOVA for RVS
Model Sum of
Squares
df Mean Square F Sig.
1
Regression 14.331 1 14.331 16.588 .000b
Residual 84.669 98 .864
Total 99.000 99
2
Regression 18.289 2 9.145 10.990 .000c
Residual 80.711 97 .832
Total 99.000 99
a. Dependent Variable: Zscore(PPMS)
b. Predictors: (Constant), Zscore(RVS)
c. Predictors: (Constant), Zscore(RVS), (RVS*RC)
Table 4.32 mentions the results of ANOVA. Model show values (F = 10.990, p = 0.000).
Sekaran & Bougie (2013) explained p < 0.05 considered significant. So model for
supplier’s engagement is highly significant according to these results. Overall model for
this independent variable shows positive and significant results
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Table – 4.33 Coefficients for RVS
Model Unstandardized Coefficients Standardized
Coefficients
t Sig.
B Std. Error Beta
1(Constant) -2.952E-015 .093 .000 1.000
Zscore(RVS) .380 .093 .380 4.073 .000
2
(Constant) -.077 .098 -.786 .434
Zscore(RVS) .330 .095 .330 3.488 .001
Interaction3
(RVS*RC).127 .058 .206 2.181 .032
a. Dependent Variable: Zscore(PPMS)
Table 4.33 show the results of beta coefficients and significance level for the supplier’s
engagement. Model mention the values for supplier engagement (β = 0.330, p = 0.001) it
means supplier’s engagement have positive and highly significant relationship with the
project portfolio management success Sekaran & Bougie (2013) explained p < 0.05
considered significant. This Results of the interaction of supplier’s engagement and role
clarity shows that (β = 0.206, p = 0.032). According to these results role clarity as a
moderator is working. Supplier’s engagement is also significant with the moderating
effect of the role clarity. Supplier’s engagement has significant effect on the project
portfolio management success. Supplier’s engagement with moderator also enhances the
effect on the project portfolio management success.
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4.7 Hypothesis Testing
The study used pair wise hierarchal regression model for each independent variable for
examining the hypotheses:
Table 4.34 Hypothesis Results
Hypothesis Beta Significance
H1 0.101 0.351
H2 0.391 0.000***
H3 0.330 0.001***
H4 0.195 0.044***
H5 0.219 0.017***
H6 0.206 0.032***
*** Significant at 0.05 significance level (two-tailed)
Hypothesis for Internal Stakeholders’ Engagement
H1: The greater the internal stakeholders’ engagement in PPM, the better prospects
for success of PPM.
First hypothesis of the study described the positive relationship between internal
stakeholders and project portfolio management success. Internal stakeholders are top
managers, line managers, project portfolio managers and project managers. According to
the study presumptions the analysis does not show a significant relationship between ISE
and PPMS (β = 0.101, p =0.351). This hypothesis related to the internal stakeholder’s
engagement did not have significant effect on the project portfolio management success.
This hypothesis is rejected. The relationship between ISE and PPMS has been proven
significant in literature. Some internal stakeholders have significant effect on the project
portfolio management success (Beringer et al., 2013)
Hypotheses for External Stakeholders
Hypotheses for external stakeholders are given as:
H2:The greater the customer’s engagement in PPM, the better prospects for success of
PPM.
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This hypothesis deduced positive relationship between customer’s engagement and
project portfolio management success. According to the study presumptions analysis also
show significant and positive relationship between customer’s engagement and project
portfolio management success (β = 0.391, p = 0.000). Hypothesis for customer
engagement is accepted.
H3: The more effectively supplier’s engagement during PPM, the better prospects for
Success of PPM.
This hypothesis explained positive relationship between supplier’s engagement and
project portfolio management success. According to the study presumption analysis also
show significant and positive relationship between supplier’s engagement and project
portfolio management success (β = 0.330, p = 0.001). Hypothesis for supplier’s
engagement is substantiated.
Hypotheses for Moderation
The study tends to explore the impact of internal stakeholder’s engagement (top
managers, line managers, project portfolio managers and project managers) and external
stakeholder’s engagement (customers and suppliers) with moderating effect of role clarity
on the project portfolio management success. The study tends to examine mediation
effects through three hypotheses. Which are explained as given:
H4: Role clarity moderates the relationship between internal stakeholders’
engagement and project portfolio management success.
H5: Role clarity moderates the relationship between customer's engagement and
project portfolio management success.
H6: Role clarity moderates the relationship between supplier's engagement and
project portfolio management success.
Table 4.34 mentions the results of the hypotheses. Hypothesis for internal stakeholder’s
engagement is 4. In the model assumed that internal stakeholder’s engagement have
positive relationship with moderating effect on the project portfolio management success.
According to the study presumptions analysis also show that internal stakeholder’s
engagement have significant and positive effect with moderation on the project portfolio
management success (β = 0.195, p = 0.044). Hypothesis related to the internal
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stakeholder’s engagement (ISE) with moderation (RC) have significant and positive on
the project portfolio management success (PPMS) is substantiated.
Table 4.34 also mentions the results of the hypotheses for external stakeholder’s
engagement. Hypothesis 5 mentions the positive effect of customer’s engagement with
moderating effect on the project portfolio management success. Analysis also favors the
study presumptions. Analysis show that role clarity moderates the relationship between
customer’s engagement and project portfolio management success (β = 0.219, p = 0.017).
Hypothesis for customer’s engagement (RVC) with moderation (RC) have positive and
significant effect on the project portfolio management success (PPMS) is substantiated.
Table 4.34 also mentions the results of the hypotheses for external stakeholder’s
engagement. Hypothesis 6 mentioned the positive effect of supplier’s engagement with
moderating effect of role clarity on the project portfolio management success. Analysis
also favors the study presumptions. Analysis show that role clarity moderates the
relationship between supplier’s engagement and project portfolio management success (β
= 0.206, p = 0.032). Hypothesis for supplier’s engagement (RVS) with moderation (RC)
have positive and significant effect on the project portfolio management success (PPMS)
is substantiated.
4.8 Findings
The study explains that most of the respondents had designation of project managers in
the software houses (i.e.51%). Majority of the respondents were males in the software
houses (i.e. 92%). Most of the respondents had overall experience above 10 years in the
software houses (i.e. 47%). Mostly respondents had experience of project portfolio
management up to 2 years in the software houses (i.e. 34%). Most of the software houses
had employees less than 50 (i.e. 69%). Mostly software houses had annual revenue up to
1$ million (i.e. 63%). Mostly software houses existed from 2 to 4 years (i.e. 77%). Most
of the software houses were deal in multiple technologies (i.e. 86%). Most of the
software houses had span across the world wide (i.e. 60%). Mostly software houses had
CMMI ranking at level 3 (i.e. 47%). Mostly software houses had certifications of ISO
(i.e. 46%). Most of the clients of the software houses were international (i.e. 69%).
Mostly the number of portfolios in the software houses was less than 2 (i.e. 40%). Mostly
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the number of projects in the software houses was above 8 (i.e. 62%). Mostly the number
of projects in the software houses successful was above 8 (i.e. 60%). Mostly number of
project portfolio managers in the software houses was from 3 to 4 (i.e. 77%). Most of the
software houses had number of project managers above 6 (i.e. 60%). Most of the
software houses deal with the projects of worth 1 to 2 million (i.e. 38%). In this
instrument mostly information was provided about the top managers (i.e. 34%).
1. The study perceived the positive and significant relationship between the internal
stakeholder’s engagement (ISE) and project portfolio management success
(PPMS), literature also explained that internal stakeholder’s engagement have
significant effect on the project success (Beringer, et al. 2013), but results show
that internal stakeholder’s engagement (ISE) does not have significant effect on
the project portfolio management success (PPMS) (β = 0.101, p = 0.351). Study
perceived the positive and significant relationship between the internal
stakeholder’s engagement (ISE) and project portfolio management success
(PPMS) with moderating effect of the role clarity (RC). Results also favor the
study and show positive significant effect of the internal stakeholder’s
engagement on the project portfolio management success with moderating effect
of the role clarity (RC) (β = 0.195, p = 0.044).
2. Study perceived the positive and significant effect of customer’s engagement
(RVC) on the project portfolio management success (PPMS), results also prove
the perception of the study and show that customer’s engagement (RVC) has
positive and significant effect on the project portfolio management success
(PPMS) (β = 0.391, p = 0.000). Study also perceived that customer’s engagement
(RVC) has also significant and positive effect on the project portfolio
management success (PPMS) with moderating effect of the role clarity (RC).
Results also mention that customer’s engagement (RVC) has significant effect on
the project portfolio management success (PPMS) with moderation of role clarity
(RC) (β = 0.219, p = 0.017).
3. Study perceived the positive and significant effect of supplier’s engagement
(RVS) on the project portfolio management success (PPMS), results also prove
the perception of the study and show that supplier’s engagement (RVS) has
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positive and significant effect on the project portfolio management success
(PPMS) (β = 0.330, p = 0.001). Study perceived that supplier’s engagement
(RVS) has also significant and positive effect on the project portfolio
management success (PPMS) with moderating effect of the role clarity (RC).
Results also favor that supplier’s engagement (RVS) has significant effect on the
project portfolio management success (PPMS) with moderation of role clarity
(RC) (β = 0.206, p = 0.032).
Table – 4.35 Hypotheses Status
# Hypotheses StatusH1 The greater the internal stakeholders’ engagement in PPM,
the better prospects for success of PPM.Rejected
H2 The greater the customer’s engagement in PPM, the better prospects for success of PPM.
Accepted
H3 The more effectively supplier engagement during PPM, the better prospects for success of PPM.
Accepted
H4 Role clarity moderates the relationship between internal stakeholders’ engagement and project portfolio management success.
Accepted
H5 Role clarity moderates the relationship between customer's engagement and project portfolio management success.
Accepted
H6 Role clarity moderates the relationship between supplier's engagement and project portfolio management success.
Accepted
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CHAPTER 5
CONCLUSION AND RECOMMENDATIONS
95
This Chapter explains the conclusion of the study. This section also mentions the
limitations and recommendations for future research.
Conclusion
Based on the finding in chapter 4 internal stakeholder’s engagement (ISE) have
insignificant effect on the project portfolio management success (PPMS) while study
predicted the positive and significant effect of internal stakeholder’s engagement on the
project portfolio management success. In IT industry Lahore, Pakistan internal
stakeholders which consisted on the top managers, line managers, project portfolio
managers and project managers. Internal stakeholders are not engaged with the project
portfolios significantly that’s why results show insignificance in their relationship.
Further involvement of role clarity which is working as a moderator shows significant
relationship between internal stakeholder’s engagement and project portfolio
management success. It means role clarity (RC) enhance the effect of internal
stakeholder’s engagement (ISE) on the project portfolio management success (PPMS).
By defining the role to each stakeholder within the organization, it gives positive results
to the project portfolio management success. In this case role clarity shows full
moderation for the internal stakeholder’s engagement. Internal stakeholder’s engagement
is 14.5% explained in this model. Internal stakeholder’s engagement show positive
relationship between the project portfolio management success. External stakeholder’s
engagement has significant effect on the project portfolio management success. In IT
sector software houses mostly deal with the customize projects. Based on finding 2 in
chapter 4 customers’ engagement is necessary in this perspective. Finding 2 explain that
customer’s engagement has significant effect on the project portfolio management
success. So results show high level of significance for the customer’s engagement. Role
clarity also moderates the relationship of the customer’s engagement and project portfolio
management success. But these findings show partial moderation because customer’s
engagement is already highly significant and with moderation it also shows good
significance. Customer’s engagement is 22.9% explained by the model. Finding 3 in
chapter 4 for supplier’s engagement also mention significant relationship between the
supplier engagement and project portfolio management. In IT sector some services and
raw material are used from the outside of the organization. The suppliers are also directly
96
engage with the project requirements. Suppliers also enhance the success of the project
portfolio management success. Finding 3 in chapter mentioned that supplier’s
engagement have significant effect on the project portfolio management success. Results
with the moderating effect of role clarity show also good significance. But before
moderation significance level is high. It means moderation also enhanced the effect of the
supplier’s engagement but partially. Supplier’s engagement is 18.5% explained by the
model. All these independent variables are tested independently. All independent
variables show significant effect separately. So final results explained that internal and
external stakeholder’s engagement has significant impact with moderating role of role
clarity on the project portfolio management success.
Contribution of the Study
This particular model did not test before with both internal and external stakeholder’s
engagement impact on the project portfolio management success. Beringer, et al. 2013
tested the model with internal stakeholder’s engagement, but in this study both internal
and external stakeholder’s engagement has been tested. So this is a contribution to test
this model with the external stakeholder’s engagement with moderating effect of role
clarity. The present study applied individual testing for the independent variables. This
model has been tested in the IT sector, Lahore Pakistan which has not been tested before.
This is a first time study in the IT sector, Lahore, Pakistan.
Recommendations
1. Internal stakeholder’s engagement has insignificant impact on the project
portfolio management success without moderation. Role clarity necessary for the
internal stakeholders. Role clarity explained and direct internal stakeholders
towards their roles and responsibilities. Maximum results had been achieved from
the project portfolio management with engagement of internal stakeholders.
2. External stakeholder’s engagement like customer’s engagement has high level of
significance. Customer’s engagement has significant impact on the project
portfolio management success without moderation. It means there is partial
moderation of rile clarity for the customers. Customer’s engagement is also show
97
significant results with the moderation but level of significance is high before
moderation. So moderation is working partially with customer’s engagement.
3. Supplier’s engagement is also part of the external stakeholders. Supplier’s
engagement also has significant relationship with the project portfolio
management success. With moderation supplier’s engagement also shows
significance but no more than before. So there is also partial moderation.
4. Role clarity is important and moderates the relationship between stakeholder’s
engagement within the organization and enhances the project portfolio
management success. For outside the organization role clarity works partially and
show significance for external stakeholders. In case of internal stakeholder’s
engagement role clarity fully moderate the relationship, it means role clarity
works more perfectly within the organization in comparison with external
organization.
Discussion
Purpose of this study was to find the relationship between stakeholder’s engagement and
project portfolio management success. In project portfolio management success
stakeholders were involved significantly or insignificantly while in study of Beringer et
al (2013) showed that internal stakeholder’s like top managers and project managers had
significant effect on the project portfolio management while line managers and project
portfolio managers had insignificant effect on the project portfolio management.
(Beringer et al., 2013) also explained that growing task of role clarity did not have
noteworthy effect of all internal stakeholders on the project portfolio management
success. Role clarity moderate the relationship of line managers and projects mangers,
while in case of project portfolio managers and top manager’s role clarity was not
effecting. Studies which have used role clarity as a moderator explained here. Role clarity
was used to moderate the relationship between role ambiguity and athlete satisfaction.
Role clarity moderated the relationship of both of these (Bray, Beauchamp, Eys, Carron,
2005). Another study explained that need for role clarity did not moderate the
relationship between the degree of role clarity and job satisfaction (Miles, Petty, 1975).
Role clarity used as moderator in both studies but in one it was moderating the
98
relationship and in another study it was not working as moderator. In this study role
clarity moderated the relationship strongly between the internal stakeholders and project
portfolio management success. In case of external stakeholders role clarity partially
moderated the relationship between external stakeholders and project portfolio
management success. Voss and Kock (2013) also found positive relationship values of
customers. They found significant effect of customer’s relationship value on the project
portfolio management success. Customer knowledge management had direct impact on
the project performance (Yang et al., 2014). The present study finds significant effect of
internal stakeholders on the project portfolio management success with distinct effect of
their role clarity. Internal stakeholder’s engagement like senior managers, line managers,
project managers and project portfolio managers all have significant and strong
relationship with the project portfolio management success with moderating effect of role
clarity. While external stakeholder’s engagement like customers and suppliers has
significant and vital relationship with the project portfolio management success and with
moderation it partially moderated the project portfolio management Success. Long term
objectives gained by adding the supplier involvement (Echtelt et al., 2004). Supplier
involvement increased the product value and quality (Witlox, 2010). He found positive
effect of supplier’s engagement in the project and product development. This study found
positive and significant effect of the supplier’s engagement on the project portfolio
management success. In an organization there was need of the role clarity to find positive
and significant outcomes because within the organization role clarity defined and clarify
the roles of the managers. In case of external environment role clarity did not perform
well. The reason of this is that in external environment we cannot hold the things and
cannot define the role as within the organization. In external environment there was
things are continuously changing and these changes also affect the customers and
suppliers who are directly and indirectly attached with the organization's performance.
That's why role clarity partially moderated the relationship between the external
stakeholders and project portfolio management success. Results of this study mentioned
that external stakeholders have significant effect on the project portfolio management
success.
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Limitations and Future Research
1. The current research model can be applied in other sectors e.g. construction, and
textile projects.
2. Further research can be done by adding more variables related to external
stakeholders in the current research model.
3. This study has been conducted in the IT sector in Lahore Pakistan, in other major
cities like Karachi and Islamabad might have different and better results.
100
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APPENDIX I
108
Table – 1 PASHA List
Sr No #
Company Name CEO Name CEO Email address No. of employ
ees
1 7vals Syed Ali [email protected] 202 AbacusConsulting Asad Ali Khan [email protected] 20003 ABM Info
Tech(private) limited
Azam Sultan [email protected] 62
4 AGCN Pakistan (pvt) Ltd
Muhammad Faisal Ahad Rao
5 APEX consulting Pakistan
Syed Sardar Ali [email protected] 52
6 Application Management outsourcing
services (AMOS) Global Pvt Ltd
Azhar H. Shore [email protected] 35
7 ARBISOFT PRIVATE LTD
Yasser Bashir [email protected] 100
8 Arwen Tech (pvt.) Limited
Abdul QadirSubhani
9 Autosoft Dynamics (pvt.) Limited
Mr. Lutfullah Khan
10
Avanceon
11
AZM Computer Services (pvt.) Ltd
Ghulam Mustafa Kamboh
12
B Solutions FazalAshfaq [email protected] 5
13
Bahria Enterprise Systems and Technologies
(BEST)
Muhammad Azam
14
Bramerz Private Limited
ZeeshanSaleem [email protected] 55
15
CIKLUM PAKISTAN (pvt.)
Ltd
Khushal Khan
16
Comstar –Information
Systems Associates Ltd.
Sami Bajwa [email protected] 125
109
17
Confiz Solutions Muhammad Raza Saeed
[email protected] 150-200
18
Corvit Networks Kashif-ul-Haq
19
CTO 24/7 Private Limited
Amin Ansari [email protected] 90
20
CureMD Healthcare
Bilal Hashmat [email protected] 375
21
DGHarbour Muhammad Rahimtoola
22
DGS Private Limited
Faizan Ali Siddiqi
23
Ebryx SMC Pvt. Ltd
M. Ahrar Naqvi [email protected] 60
24
Edusys Pakistan Nouman Ali syed [email protected]
25
Expert Systems (pvt) Ltd
Khalid Ahmed Khan
26
Efro Tech Services Nadir Khan Feroz
27
Five Rivers Technologies(pvt)
Ltd
Hasan A. Rizvi [email protected]
28
FOURGEN Information
Systems(pvt) Ltd
Ather Sultan chawla
29
Future Now Technologies (pvt)
Ltd
Muhammad HanifMian
30
GAMEVIEW PAKISTAN (PRIVATE) LIMITED
IRFAN GAZANFER
VIRK
300
31
GCS (PVT) LTD Mr. ShahidMuneer
32
GenITeam KhurramSamad [email protected] 42
33
Goldtime (pvt) Ltd Naveed Ahmed [email protected] 18
34
i2c Amir wain [email protected] 330
35
IBM Humayun Bashir [email protected] 500
36
Inbox Business Technologies Pvt.
Ltd
Ghias Khan [email protected]
110
37
INFOGISTIC Private Limited
Sajjad Kirmani [email protected] 20
38
InfoTech Private Limited
Naseer Ahmad Akhtar
250
39
Innovative Integration Pvt Ltd
Syed Ahmer Ghazi
20
40
Intagleo Systems Pvt. Ltd
Amar Ali [email protected] 35
41
IT Minds Limited Syed Asif Shah [email protected] 22
42
Kabot International (PVT)Ltd.
ArifToor [email protected] 70
43
LMK Resources Pakistan (Pvt) Ltd
AtifRais Khan [email protected] 600+
44
LumenSoft Technologies Pvt. Ltd.
Abdul Aziz [email protected] 28
45
Maison Consulting and Solutions
Sultan Hamdani [email protected] 135
46
Mantaq Systems HashimZulfiqar Ali
47
Marriala Consultants
Muhammad Arfaeen Iqbal
48
Mindstorm Studios
Babar Ahmed [email protected] 20
49
Monet Pvt Ltd Ali Abbas Sikander
11
50
Naseeb Networks Monis Rahman [email protected] 42
51
National Consulting for Business and Management Solutions (Private) Limited
Ahsan Saleem [email protected] 115
52
NetSol Salim Ghauri [email protected] 1000
53
Off-Road Studios Muhammad Waqas
54
OPEN-SILICON PAKISTAN (PVT)LTD
ANJUM FAROOQ CHOHAN
60
5 Ora-Tech Systems Aspy N. Fatakia [email protected]
111
5 (Pvt )Ltd56
Ovex Technologies Pakistan (Pvt) Limited
Faisal S Khan [email protected] 210
57
Ovex Technologies Pvt Limited
Syed Amir Hussain
58
Ozitechnology Muhammad Usman Sheikh
69
Palmchip Pakistan (Pvt.) Limited
Jauher Zaidi [email protected]
60
Pring Muqtaza Shah [email protected]
40
61
Sabri Technologies MoinSabri [email protected] 50
62
Sakonent Akif Rahman [email protected] 125
63
SensysPvt Ltd SohailQadir [email protected] 78
64
SidatHyderMorshed Associates (Pvt.) Ltd.
AroojAlam Khan
65
SitaraInfotechPvt Ltd
Javed Iqbal [email protected] 13
66
SofizarPvt Ltd Zafar Khan [email protected] 64
67
Soft Solutions Ghulam Ali [email protected] 10
68
Softech Systems (Pvt.) Limited
Salman Iqbal [email protected] 85
69
Solo Tech Corp Farhan Masood [email protected] 16
70
Strategic Systems International
RabiyaJunaid Aziz
71
Synergy Computers Pvt Limited
Iqbal Ahmed [email protected] 160
72
Systems Limited Mr. Ashraf Kapadia
1200
73
Techaccess Pakistan Private Limited
Syed Iqtidar Zaidi
74
The Resource Group
NadeemElahi [email protected] 1500
75
TkXel UmairJaved [email protected] 109
7 TMR Consulting Mian [email protected] 30
112
6 (Private) Limited Muhammad Ramzan
77
Tricast Media Private Limited
ARSLAN KHAN KHAKWANI
51
78
Viper Technologies Pvt Ltd.
KhushnoodAftab [email protected] 200
79
Visionary Computer Solutions PVT Ltd
Zahid Raza [email protected] 46
80
VopiumAktieselskabPvt Ltd.
QaisarJaved [email protected]
81
Wavetec Private Limited
Ahmed Fraz [email protected] 150
82
Zahdan Technologies Pvt Limited
Mr. ShehzadShabbirDahar
83
Dzine Media Usman Shajoor [email protected]
13
Table – 2 ARFA KAREEM Software Houses Detailed List
No. of
113
Sr#
Software House
Adress In Portfolio
No. of Projects
Project Manage
rs
Success
Ratio
CEO Name
CEO Email Address
1 Ebryx Office # 1, floor # 4, Arfa software technology park, 346-B Ferozpur Road, Lahore – Pakistan.
Yes 2 3-4 100% Ahrar Naqvi
2 ADDVANTUM
Office # 17, Floor # 10, Arfa STP.
Yes 10-15 10-15 90% Shahzad Hamid
3 Frag Games
Office # 7, floor # 4, Arfa STP.
yes 2 1 60-70%
RehmanRafique
4 Microsoft Innoation Centre
Office # 1,Floor # 5, Arfa STP.
yes 4 2 100% Ziad Bashir
5 Inbox Office # 3,Floor # 5,Arfa STP.
yes Local level 2, international level 1.
15-20 100% Ghias Khan
6 Interactive Groups
Office # 2,Floor # 5, Arfa STP.
yes 10-15 10 100% Shahid Mahmud
7 Logica Floor # yes 2-3 1 70- Usman
114
Solutions 7, Arfa STP.
80% Ahmad
8 Nespak Floor # 7,Arfa STP.
yes 2-3 2 90% Amjad A. Khan
9 Tower Technologies
Office # 4,5 floor # 7, Arfa STP.
yes 5-6 4 100% Ajmal Hussain
10
National Engineers (NETS Internatioal)
Office # 2, floor # 8, Arfa STP.
yes 30 3 80% Jahangir Ahmad
11
Loxvo Technologies
Floor # 8, Arfa STP.
yes 3 1 60%
12
Zero Billion
Office # 12, floor # 8, Arfa STP.
yes Upto 15 for small projects, 2 for large projects.
3 70-80%
WaqqasAlvi
13
Fork Tech
Floor # 8, Arfa STP.
no 1 1 50% Noor Khawaja
14
Total Softwares Services
Office # 19, floor # 8, Arfa STP.
yes 3-4 2 80% Haseeb Ali Gill
15
Zitech Floor # 8, Arfa STP.
Yes 4-5 3 75% MesbahRehan
16
Future Technologies
Floor # 8, Arfa STP.
yes 2-3 1 60%
17
ITD Pakistan
Floor # 8, Arfa STP.
yes 3 2 70%
18
Rent VM Office # 14, floor # 8, Arfa
yes 2 2 60-70%
115
STP.19
Mobius Networks
Floor # 8, Arfa STP.
yes 2 2 80%
20
Incubators
Office # 7, floor # 8, Arfa STP.
yes 10-15 1 90% Hammad Tariq
21
Viper Office # 8, floor # 8, Arfa STP.
yes 150-200 1 80%
22
Bayt.com Office # 20, floor # 10, Arfa STP.
yes 5 5 Above 75%
RabeaAtaya
23
Seven Centric
Office # 17, floor # 10, Arfa STP.
yes 5-6 1 50% Saad Mubarak
24
SoftRove Office # 18, floor # 10, Arfa STP.
yes 2-3 2-3 100% Omer Mukhtar
25
ILMA Soft
Office # 15, floor # 10, Arfa STP.
yes 5-6 1 100% Syed Iftikhar Hussain Shah
26
Comcast Office # 13, floor # 10, Arfa STP.
no 1 1 100% Cyrus Saood Jan
27
Fast Services
Office # 10, floor # 10, ArfaSTP.
yes 10 2-3 70-80%
Rana Farooq
2 Dell Office # yes 4-5 5 100%
116
8 8, floor # 10, Arfa STP.
29
GCS Pvt Ltd
Office # 7, floor # 10, Arfa STP.
yes 14-15 3 Above 90%
ShahidMuneed
30
TeraData Floor # 15, Arfa STP
yes Above 10
10 100% KhurramRahat
Table – 3 Respondents Detail List
117
Subjects/Respondents
Name Company Name
Email Address
HarisShahid Inbox [email protected] Farhan Shah Inbox [email protected] Zaigham Butt Microsoft
innovation centre
Mirza Asif Baig
Interactive Group
3 Majid Imtiaz Logica IT Solutions
Waqas Ashraf Logica IT Solutions
Salma N. Waseem
Logica IT Solutions
4 Muneeb Nespak [email protected]
FaheemAtharTower
5 Imran Naqvi Tower Technologies
6 Jawad Tower Technologies
Jahangir Ahmad
Nets International
Shahbaz Ashraf
National Engineers
7 Fuad Khalid Nets International
8 Masood Abbas Nets International
9 Hasnain Naqvi Nets International
10 Hafiz Zafarullah
Nets International
11 Sadaan Saeed Loxvo Technologies
12 WaqqasAlvi Zero Billion Waqqas.alvi@@zerobillion.comNoor Khawaja Fork Tech [email protected]
13 Haseeb Ali Gill
Total Software [email protected]
JawadAmjad Zitech [email protected] M.Tahir Future
15 Tallat ITD Pakistan [email protected] Ali Rent VM [email protected]
118
TurabSajjad Mobius
16 Hammad Incubators [email protected] Tariq Aziz Viper [email protected]
M.Farhan Ali Ebryx [email protected]
Rabia Tariq ADDVANTUM
18 RehmanRafique
Frag Games [email protected]
Ammad Aziz Bayt.com [email protected] Saad Mubarak Seven Centric [email protected] Omar Mukhtar SoftRove [email protected] Usman ILMA Soft [email protected] M.Irfan Fast Services [email protected] Choudhary
Bashir Hameed
Dell [email protected]
24 Sohail Saeed GCS Pvt Ltd [email protected] KhurramRahat TeraData [email protected]
119
Table – 4 Questionnaire Coding Details
Sr No # Scales Name Items1 Role Clarity 1,2,3,42 Project Portfolio
Management Success2(a) Average Project Success 5,6,72(b) Strategic Fit 8,9,103 Customer Relationship
Value3(a) Relationship Value for the
customers 11, 12, 13, 14
3(b) Relationship Value from the customers
15, 16, 17, 18, 19, 20, 21
4 Supplier Relationship Value4(a) Relationship Value for the
suppliers 22, 23, 24, 25
4(b) Relationship Value from the suppliers
26, 27, 28, 29, 30,
5 About Managers 32 to 536 Senior Management
Involvement54 to 60
120
APPENDIX II
Preliminary Survey Questions
How many projects software house managing at a time?
How many Project managers working in software house at this time?
How many portfolios in software House?
How many projects manage in one portfolio?
How many portfolio managers in software house?
What is the specialty of software house?
121
APPENDIX III
INSTRUMENTS (Questionnaire for data collection)
122
COMSATS INSTITUTE OF INFORMATION AND TECHNOLOGY,
LAHORE
Dear Respondent,
I am student of MS (Project Management) in COMSATS Institute of Information and
Technology. I want to conduct research on impact of Stakeholder's engagement on
Project Portfolio Management Success, in IT sector Lahore, Pakistan. It would be highly
appreciated, if you spare some time from your busy schedule to answer few questions
mentioned below. Your response will be kept confidential. I will be very thankful to you
for your cooperation.
123
Software House Name / Title: ..................................
Designation of the Respondent: ......................................
Gender: a) Male b) Female
Total Work Experience: (in years)
a) Up to 2 b) 2 - 6 c) 6 - 10 d) above 10
Work Experience of managing project portfolios: (in years)
a) Up to 2 b) 2 - 6 c) 6 -10 d) above 10
Team Strength: (Members)
a) Less than 50 b) 50-100 c) 100-200 d)Above 200
Annual Revenue: (optional)
a) Up to 1$ million b) Between 1-2$ million c) Above 2$ million
Duration of existence of Software House: (in years)
a) Less than 2 b) 2 – 4 c) 4 – 6 d) Above 6
Specialty of Software House:
a) Databases b) Mobile apps c) Websites d) Multiple Technologies
e) Others……………………………
Span of Software House:
a) Within Pakistan b) Within Subcontinent c) Within Asia d) Across the World Wide
CMMI Ranking: (To be applied)
a) Level 1 b) Level 2 c) Level 3 d) Level 4 e) Level 5
Software House Certifications:
a) ISO certified b) IEEE certified c) Others ……………………………….
Software House Clients:
a) International b) National c) Local d) Others …………………………
124
Number of Portfolios: a) Less than 2 b) 2-4 c) 4-6 d) above 6
Number of projects in one portfolio: a) 2-4 b) 4-6 c) 6-8 d) above 8
Number of projects lead successfully: a) 2-4 b) 4-6 c) 6-8 d) above 8
Number of Project Portfolio Managers: a) Less than 2 b) 2-4 c) 4-6 d) Above 6
Number of Project Managers: a) Less than 2 b) 2-4 c) 4-6 d) Above 6
Project Worth: (optional)
a) Less than 1 million b) Between 1 & 2 million c) More than 2 million
Information is given about:
a) Top Manager b) Line Manager c) Project Portfolio Manager d) Project Manager
Is always seeking new opportunities
for the unit/departmen
t/organization
125
Sr. No. Items
Strongly Disagree Disagree
Neither Agree nor Disagree
AgreeStrongly
Agree
1. The task of PPM actors is clearly
defined.2 The task of PPM
actors is clearly differentiated.
3 Every task within PPM is performed
only by the persons
responsible for this task.
4 PPM tasks are performed by
redundantly by several parties.
5 On average, our projects have high
schedule adherence.
6 On average, our projects have high budget adherence.
7 On average, our projects have high quality adherence.
8 Our project portfolio is consistently
oriented toward the firm’s future.
9 The corporate strategy is
implemented in the optimal way.
10 The allocation of resources to
projects reflects our strategic
behavior.11 We fulfill needs of
our customers.12 Our customers are
very satisfied with our output.
13 Problems encountered by our
customers are quickly solved.
14 We do anything to be a trustful
partner for our customers.
15 Most of our
3233 Paints an
interesting picture of the future for our
group.
34 Has a clear understanding of where we are going.
35 Inspires others with his/her plans for the
future.
36 Is able to get others
committed to his/her dreams
of thefuture.
37 Leads by “doing” rather than simply by
“telling.”38 Provides a
good model to follow.
39 Leads by example.
40 Fosters collaboration among work
groups.41 Encourages
employees to be “team players.”
42 Gets the group to work
together for the same goal.
126
43 Develops a team attitude
and spirit among his/her
employees44 Shows us that
he/she expects a lot from us.
45 Insists on only the best
performance.46 Will not settle
for second best.
47 Acts without considering my
feelings.48 Shows respect
for my personal feelings.
49 Behaves in a manner that is thoughtful of my personal
needs.
50 Treats me without
considering my personal feelings.
51 Has provided me with new
ways of looking at things which
used to be a puzzle for me.
52 Has ideas that have forced me to think some
of my own
127
ideas I have never
questioned before.
53 Has stimulated me to think about old
problems in new
ways.
54 Our senior management has expert knowledge in multi-project and project portfolio management.
55 Our senior management invests a lot of time in steering the project portfolio.
56 Our senior management makes sufficient human and financialresources available for the steering of the project portfolio
57 Our senior management adheres to the official processand to its own rules during project portfolio management.
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58 Our senior management delivers decisions timely when problem situations arise or escalation is required.
59 Our senior management feels responsible for the success of the project portfolio management.
60 On the whole, our senior management supports theproject portfolio management
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