Information Technology Road Map for SMEs
A STUDY ONINFORMATION TECHNOLOGY ROAD MAP FOR SMEs AT IDA
BALANAGAR, HYDERABAD
Project report submitted toTata Consultancy Services
Hyderabad
Submitted ByG Ashok Kumar
Under the Supervision of
Mr. Aslam BashaRegional ManagerTata Consultancy Services
DECLARATION
I hereby declare that this project report entitled An Empirical
Study on Information Technology Road Map for SMEs in IDA
Cherlapalli, Hyderabad. Has been prepared by me during the period
of 45 days to be submitted SANSKRITHI SCHOOL OF BUSINESS,
Puttaparthi in practical fulfillment for the award of degree POST
GRADUATE DIPLOMA IN BUSINESS MANAGEMENT prescribed by ALL INDIA
MANAGEMENT ASSOCIATION ,NEW DELHI. Under the guidance of Dr. Venkat
Barla Director, SANSKRITHI SCHOOL OF BUSINESS, Puttaparthi. I also
declare that this project report is the result of my own effort and
it has not been copied from any of the earlier reports submitted by
anybody to ALL INDIA MANAGEMENT ASSOCIATION ,NEW DELHI or any other
university for the award of any degree in diploma. I also assert
that the information collected by me for Information Technology
Road Map for SMEs In IDA Cherlapalli, Hyderabad will be
confidential.
(G Ashok Kumar)
ACKNOWLEDGEMENT
My profound thanks and deep sense of gratitude to Mr. Aslam
Basha, Regional Manager, TCS and to authorities of TCS, Hyderabad
who gave me the opportunity for doing this project work at
Hyderabad. Its my primary duty to express my humble thanks and deep
sense of gratitude to our director sir Dr. Venkat Barla sir who
acted as a source of inspiration in completing my work by
constantly enlightening me with his valuable guidance and
suggestions during the period of this project.I also thank the
staff for providing my all help and facilities in carrying out my
project and making me feel at home I also express my gratitude
towards the help rendered by Dr. Venkat Barla Director &my
project guide, Sanskrithi School of Business for guiding me in
completion of this project work.Finally, I thank all my friends for
spending their valuable time providing their valuable suggestions
in successful completing of this project.
(G Ashok Kumar)
Table of Contents
Executive Summary7Introduction9Enterprise Resource
Planning9Origin of "ERP"9Expansion10Characteristics10Functional
areas11Components11Indian SMEs [Small and Medium
Enterprises]13Definition of SMEs14Indian SMEs in Technology
Adoption16Future Technologies for SMEs17Key challenges faced by
Indian MSME sector18Objectives21Methodology23Collection of
Data23Sampling25Formulation of Questionnaire26Scope of the
Study29Limitation of the Study31Data Analysis
Tools33Contribution35Industry Profile37Company
Profile40History401968 to 2000402000 to present41Products and
services41Service lines41Literature Review43Information Technology
Adoption Concept44Information Technology Adoption within
SMEs45Influencing Factors45Internal Factors45External
Factors63Conclusion, Suggestions & Future Research66Primary
Data
Analysis70Findings96Suggestion98Conclusion100Summary103ERPBLIOGRAPHY105Website
Referred105Book Referred106Article Referred106ANNEXURE108List of
Company109
EXECUTIVE SUMMARY
Executive SummarySmall and Medium Enterprise (SMEs) constitute
over 90% of total enterprises in most of the economies and are
credited with generating the highest rates of employment growth and
account for a major share of industrial production and exports. In
India too, the SMEs play a pivotal role in the overall industrial
economy of the country. SMEs are thus important for the national
objectives of growth with equity and inclusion. The process of
liberalization and market reforms since 1991 has brought about
intense competition for SMEs both in domestic and overseas markets.
This has made it imperative for the Indian SMEs to overcome the
challenges that they face and maintain, improve and sustain
competitiveness through lower cost, improved quality, making
available wider choice by initiating various measures including
innovation and up-gradation of technology.Having realized the need
to preserve, protect and promote SMEs, the Indian government is
also committed to the growth and development of the SMEs and to
enhance their competitiveness. The government seeks to fulfill its
mission by formulating policies and designing/implementing support
measures in the field of credit, technological up gradation,
marketing, entrepreneurship development etc. and undertaking
effective advocacy for these purposes.The SMEs that are
successfully competing today are the enterprises that have
developed a culture of success through appropriate ERP &ERP
interventions that has enabled them to stay ahead of others. The
SMEs with heavy infusion of technology are much better adapted to
meet the business needs and compete in the domestic as well as
global markets.Finance is one of the critical inputs for the
promotion and development of the micro and small enterprises.
Recognizing the importance of easy and adequate availaERPlity of
credit in sustainable growth of the SME sector, the Government has
been announcing various policy measures. Faced with increased
competition on account of globalization, SMEs are beginning to move
from a reliance on bank credit to a variety of other specialized
financial services and options.The role of government policies,
technology interventions and financial measures for creating
competitive SMEs has been discussed in detail in this background
note.
INTRODUCTION
IntroductionEnterprise Resource PlanningEnterprise resource
planning (ERP) is a business management softwareusually a suite of
integrated applicationsthat a company can use to collect, store,
manage and interpret data from many business activities, including:
Product planning, cost Manufacturing or service delivery Marketing
and sales Inventory management Shipping and paymentERP provides an
integrated view of core business processes, often in real-time,
using common databases maintained by a database management system.
ERP systems track business resourcescash, raw materials, production
capacityand the status of business commitments: orders, purchase
orders, and payroll. The applications that make up the system share
data across the various departments (manufacturing, purchasing,
sales, accounting, etc.) that provide the data. ERP facilitates
information flow between all business functions, and manages
connections to outside stakeholders. Enterprise system software is
a multi-ERPllion dollar industry that produces components that
support a variety of business functions. IT investments have become
the largest category of capital expenditure in United States-based
businesses over the past decade. Though early ERP systems focused
on large enterprises, smaller enterprises increasingly use ERP
systems. The ERP system is considered a vital organizational tool
because it integrates varied organizational systems and facilitates
error-free transactions and production. However, ERP system
development is different from traditional systems development. ERP
systems run on a variety of computer hardware and network
configurations, typically using a database as an information
repository.Origin of "ERP"In 1990, Gartner Group first used the
acronym ERP as an extension of material requirements planning
(MRP), later manufacturing resource planning and
computer-integrated manufacturing. Without replacing these terms,
ERP came to represent a larger whole that reflects the evolution of
application integration beyond manufacturing. ExpansionERP systems
experienced rapid growth in the 1990s, because the year 2000
problem and introduction of the euro disrupted legacy systems. Many
companies took the opportunity to replace their old systems with
ERP. ERP systems initially focused on automating back office
functions that did not directly affect customers and the general
public. Front office functions, such as customer relationship
management (CRM), dealt directly with customers, or ebusiness
systems such as ecommerce, egovernment, etelecom, and efinanceor
supplier relationship management (SRM) became integrated later,
when the Internet simplified communicating with external
parties.[citation needed]"ERP II" was coined in 2000 in an article
by Gartner Publications entitled ERP Is Dead Long Live ERP II. It
describes webbased software that provides realtime access to ERP
systems to employees and partners (such as suppliers and
customers). The ERP II role expands traditional ERP resource
optimization and transaction processing. Rather than just manage
buying, selling, etc.ERP II leverages information in the resources
under its management to help the enterprise collaborate with other
enterprises. ERP II is more flexible than the first generation ERP.
Rather than confine ERP system capaERPlities within the
organization, it goes beyond the corporate walls to interact with
other systems. Enterprise application suite is an alternate name
for such systems.Developers now make more effort to integrate
moERPle devices with the ERP system. ERP vendors are extending ERP
to these devices, along with other business applications. Technical
stakes of modern ERP concern integrationhardware, applications,
networking, supply chains. ERP now covers more functions and
rolesincluding decision making, stakeholders' relationships,
standardization, transparency, globalization, etc.
CharacteristicsERP (Enterprise Resource Planning) systems typically
include the following characteristics: An integrated system that
operates in (or near) real time without relying on periodic
updates[citation needed] A common database that supports all
applications A consistent look and feel across modules Installation
of the system with elaborate application/data integration by the
Information Technology (IT) department, provided the implementation
is not done in small steps
Functional areasAn ERP system covers the following common
functional areas. In many ERP systems these are called and grouped
together as ERP modules: Financial accounting: General ledger,
fixed asset, payables including vouchering, matching and payment,
receivables cash application and collections, cash management,
financial consolidation Management accounting: Budgeting, costing,
cost management, activity based costing Human resources:
Recruiting, training, rostering, payroll, benefits, 401K, diversity
management, retirement, separation Manufacturing: Engineering,
ERPll of materials, work orders, scheduling, capacity, workflow
management, quality control, manufacturing process, manufacturing
projects, manufacturing flow, product life cycle management Order
Processing: Order to cash, order entry, credit checking, pricing,
available to promise, inventory, shipping, sales analysis and
reporting, sales commissioning. Supply chain management: Supply
chain planning, supplier scheduling, product configurator, order to
cash, purchasing, inventory, claim processing, warehousing
(receiving, putaway, picking and packing). Project management:
Project planning, resource planning, project costing, work
breakdown structure, ERPlling, time and expense, performance units,
activity management Customer relationship management: Sales and
marketing, commissions, service, customer contact, call center
support - CRM systems are not always considered part of ERP systems
but rather Business Support systems (BSS). Data services: Various
"selfservice" interfaces for customers, suppliers and/or
employeesComponents Transactional database Management
portal/dashboard ERP system Customizable reporting Resource
planning and scheduling Analyzing the product External access via
technology such as web services Search Document management
Messaging/chat/wiki Workflow management
Cloud computingCloud computing is a recently evolved computing
terminology or metaphor based on utility and consumption of
computing resources. Cloud computing involves deploying groups of
remote servers and software networked that allow centralized data
storage and online access to computer services or resources. Clouds
can be classified as public, private or hybrid. The criticisms
about it are mainly focused on its social implications. This
happens when the owner of the remote servers is a person or
organization other than the user, as their interests may point in
different directions, for example, the user may wish that his or
her information is kept private, but the owner of the remote
servers may want to take advantage of it for their own
business.Cloud computing relies on sharing of resources to achieve
coherence and economies of scale, similar to a utility (like the
electricity grid) over a network. At the foundation of cloud
computing is the broader concept of converged infrastructure and
shared services.Cloud computing, or in simpler shorthand just "the
cloud", also focuses on maximizing the effectiveness of the shared
resources. Cloud resources are usually not only shared by multiple
users but are also dynamically reallocated per demand. This can
work for allocating resources to users. For example, a cloud
computer facility that serves European users during European
business hours with a specific application (e.g., email) may
reallocate the same resources to serve North American users during
North America's business hours with a different application (e.g.,
a web server). This approach should maximize the use of computing
power thus reducing environmental damage as well since less power,
air conditioning, rack space, etc. are required for a variety of
functions. With cloud computing, multiple users can access a single
server to retrieve and update their data without purchasing
licenses for different applications.The term "moving to cloud" also
refers to an organization moving away from a traditional CAPEX
model (buy the dedicated hardware and depreciate it over a period
of time) to the OPEX model (use a shared cloud infrastructure and
pay as one uses it).Proponents claim that cloud computing allows
companies to avoid upfront infrastructure costs, and focus on
projects that differentiate their businesses instead of on
infrastructure. Proponents also claim that cloud computing allows
enterprises to get their applications up and running faster, with
improved manageaERPlity and less maintenance, and enables IT to
more rapidly adjust resources to meet fluctuating and unpredictable
business demand. Cloud providers typically use a "pay as you go"
model. This can lead to unexpectedly high charges if administrators
do not adapt to the cloud pricing model. The present availaERPlity
of high-capacity networks, low-cost computers and storage devices
as well as the widespread adoption of hardware virtualization,
service-oriented architecture, and autonomic and utility computing
have led to a growth in cloud computing. Cloud vendors are
experiencing growth rates of 50% per annum. Indian SMEs [Small and
Medium Enterprises]SME sector of India is considered as the
backbone of economy contributing to 45% of the industrial output,
40% of Indias exports, employing 60 million people, create 1.3
million jobs every year and produce more than 8000 quality products
for the Indian and international markets. With approximately 30
million SMEs in India, 12 million people expected to join the
workforce in next 3 years and the sector growing at a rate of 8%
per year, Government of India is taking different measures so as to
increase their competitiveness in the international market.There
are several factors that have contributed towards the growth of
Indian SMEs. Few of these include; funding of SMEs by local and
foreign investors, the new technology that is used in the market is
assisting SMEs add considerable value to their business, various
trade directories and trade portals help facilitate trade between
buyer and supplier and thus reducing the barrier to tradeWith this
huge potential, backed up by strong government support; Indian SMEs
continue to post their growth stories. Despite of this strong
growth, there is huge potential amongst Indian SMEs that still
remains untapped. Once this untapped potential becomes the source
for growth of these units, there would be no stopping to India
posting a GDP higher than that of US and China and becoming the
worlds economic powerhouse.The research framework posits that IT
adoption and IT assimilation are directly affected only by the
elements of the organizational context. These two constructs are
affected by the technological and environmental contexts only
indirectly, through the mediating effect of the organizational
context, and especially through the SME owner-managers strategic
orientation.Among all organizational factors, there is reason to
underline the particular role played by the owner-managers
strategic orientation. Indeed, according to the upper echelon
theory, organizational strategic outcomes and processes are a
function of the managerial characteristics of top managers, and
this is particularly true in the case of SMEs, as previously
mentioned. Following this theory, strategic choices are more of the
outcome of behavioral factors than calculations for economic
optimization, and will reflect decision-makers idiosyncrasies.
Strategy being the mediating force between the firm and its
environment, it is through the small business owner-managers
strategic orientation that one can understand the latters
sense-making of the technological and environmental contexts, that
is, how he or she detects threats and opportunities. This
sense-making will affect the development of the owner-managers
competencies as well as his or her choices in regard to acquiring
human resources and developing employees competencies. Definition
of SMEs(a) Enterprises engaged in the manufacture or production,
processing or preservation of goods as specified below:(i) A micro
enterprise is an enterprise where investment in plant and machinery
does not exceed Rs. 25 lakh;(ii) A small enterprise is an
enterprise where the investment in plant and machinery is more than
Rs. 25 lakh but does not exceed Rs. 5 crore; and(iii) A medium
enterprise is an enterprise where the investment in plant and
machinery is more than Rs.5 crore but does not exceed Rs.10
crore.In case of the above enterprises, investment in plant and
machinery is the original cost excluding land and building and the
items specified by the Ministry of Small Scale Industries vide its
notification No.S.O.1722 (E) dated October 5, 2006.(b) Enterprises
engaged in providing or rendering of services and whose investment
in equipment (original cost excluding land and building and
furniture, fittings and other items not directly related to the
service rendered or as may be notified under the MSMED Act, 2006
are specified below.(i) A micro enterprise is an enterprise where
the investment in equipment does not exceed Rs. 10 lakh;(ii) A
small enterprise is an enterprise where the investment in equipment
is more than Rs.10 lakh but does not exceed Rs. 2 crore; and(iii) A
medium enterprise is an enterprise where the investment in
equipment is more than Rs. 2 crore but does not exceed Rs. 5
crore.In accordance with the provision of Micro, Small & Medium
Enterprises Development (MSMED) Act, 2006 the Micro, Small and
Medium Enterprises (MSME) are classified in two Classes: (a)
Manufacturing Enterprises- The enterprises engaged in the
manufacture or production of goods pertaining to any industry
specified in the first schedule to the industries (Development and
regulation) Act, 1951) or employing plant and machinery in the
process of value addition to the final product having a distinct
name or character or use. The Manufacturing Enterprise are defined
in terms of investment in Plant & Machinery.(b) Service
Enterprises: The enterprises engaged in providing or rendering of
services and are defined in terms of investment in equipment. The
limit for investment in plant and machinery / equipment for
manufacturing / service enterprises, as notified, vide S.O. 1642(E)
dtd.29-09-2006 are as under:Manufacturing Sector
EnterprisesInvestment in plant & machinery
Micro EnterprisesDoes not exceed twenty five lakh rupees
Small EnterprisesMore than twenty five lakh rupees but does not
exceed five crore rupees
Medium EnterprisesMore than five crore rupees but does not
exceed ten crore rupees
Service Sector
EnterprisesInvestment in equipment
Micro EnterprisesDoes not exceed ten lakh rupees
Small EnterprisesMore than ten lakh rupees but does not exceed
two crore rupees
Medium EnterprisesMore than two crore rupees but does not exceed
five core rupees
Indian SMEs in Technology AdoptionTechnology is the backbone of
modern business. But Indian Small and Medium Enterprises (SMEs) lag
behind in the adoption of technology and this proves to be
roadblock in the path of catching up with their global
counterparts.
India, according to a report by Pluggd.in, has the second
largest population of SMEs among BRIC and the US. This has not gone
unnoticed by IT vendors, who seek to tap the potential that Indias
SMEs hold.
The provision of Software-as-a-Service (SaaS), for example, has
allowed firms such as TravelCarma, (a travel firm based in Gujarat)
to extend its services in Frankfurt. A report from the Business
Standard noted that while SaaS as a platform for delivering
applications has been around for quite a while now, SMEs have only
started to realize its true potential after the recession, because
of the services cost-effectiveness.
However, while a number of software product SMEs are benefitting
from the interest of multi-national corporations and IT firms from
all over the world, many new players hesitate to take up new
technology is due to the lack of awareness, and majority of those
who are aware step back because of their nervousness to embrace the
new technologies.
Although SMEs provide employment to about 75percent of Indias
workforce, these enterprises spend only 30 percent of the countrys
IT spending. These statistics from Pluggd.in are only made more
shocking with the fact that only 12 percent of Indian SMEs use
computers and 90percent of them use it just for document
processing. A major change in this attitude will help the SMEs to a
huge extent in competing globally.Some of the main reasons behind
Indian SMEs avoiding the adoption of technology include budget and
infrastructure limitations. The shortage of skilled labor that has
the basic know-how to work computers is another looming problem for
SMEs from upcoming cities.
The government seems more than eager to help SMEs change their
perception of technology though. In a Seminar on Information,
Communication & Technology for Enhancing Competitiveness of
Indian SMEs, organized by PHD (Punjab Haryana Delhi) Chamber in New
Delhi, Dr Ajay Kumar, the Joint Secretary of the Department of IT
in the Ministry of Information and Technology, Government of India,
said Information Technology is a tool which enables you to innovate
and make a difference. IT enables better information use and better
information management.
However, the government is yet to encourage SMEs in the adoption
of new technologies by promoting low-cost technology solutions that
are designed specifically for SMEs. A few other steps that would
encourage SMEs in this regard would be the provision of
opportunities, as well as the implementation of a culture of
innovation, especially in the fields of marketing.Adopting the
latest IT tools and techniques can help India's small and medium
businesses boost revenues by $ 56 ERPllion, while also creating
over a million jobs, according to a report by software giant
Microsoft. The research, conducted by global management consulting
firm BCG for the Microsoft report, also revealed that about 90 per
cent of small and medium enterprises (SMEs) in India have no access
to the Internet. "The report - Ahead of the Curve: Lessons on
Technology and Growth from Small Business Leaders - found that if
more SMEs in India adopt latest IT tools there is potential for SME
revenue to grow by $ 56 ERPllion and create 1.1 million new jobs,"
Microsoft India Managing Director Karan Bajwa said. BCG surveyed
Brazil, India, China, Germany and the US and found SME revenue
could grow by a comERPned $ 770 ERPllion in these five primary
countries if more SMEs could achieve the growth rates of those SMEs
that use modern IT tools. "These same SMEs could add some 6.2
million new jobs in those countries alone. BCG believes that this
association between IT adoption and growth would be consistent in
countries across the world," BCG Senior Partner and co-author of
the report Neeraj Aggarwal said. BCG surveyed 4,000 SMEs in these
five countries, which included 750 surveyed in India, during July
2013. The research revealed nearly 90 per cent of SMEs in India
have no access to the Internet, compared with only 22 per cent of
SMEs in China and 5 per cent of SMEs in the US. Future Technologies
for SMEsIf we stretch our vision long term we can think of some new
technologies which can prove important to MSMEs.1. Cloud
computingCloud computing can prove to be buzzword for SMES in
future. It is nothing but literally placing computing in internet
space. All the applications, IT resources and software rest on
internet space and can be made available on demand, free of cost or
some subscription fee or may be on pay per use basis. It is
beneficial for SMEs as they do not have to pay upfront and invest
huge amounts. Its applications are modular where SMEs can pick the
features they need leaving out the rest. Other than the common
applications, high end applications such as ERP & CRM are
available through cloud computing.2. Remote infrastructure
Management3. Virtualization4. SaaS
Key challenges faced by Indian MSME sectorDespite its strategic
importance in any industrialization strategy, the opportunities
that the Indian landscape presents and its immense potential for
employment generation the MSME sector confronts several challenges.
They face problems at every stage of their operation, whether it is
buying of raw materials, manufacture of products, marketing of
goods or raising of finance. Some of the challenges Indian MSMEs
face have been briefly discussed below: 1. High Cost of
CreditAccess to adequate and timely credit at a reasonable cost is
the most critical problem faced by this sector. The major reason
for this has been the high risk perception among the banks about
this sector and the high transaction costs for loan appraisal.
While the quantum of advances from the public sector banks (PSBs)
to the MSEs has increased over the years in absolute terms, from
Rs.46, 045 Crores in March 2000 to Rs.1, 85,208 Crores in March
2009, the share of the credit to the MSME sector in the Net Bank
Credit (NBC) has declined from 12.5 percent to 10.9 percent during
the same period.2. Collateral RequirementsPlayers in MSME sector
are not in a position to provide collateral in order to avail loans
from banks and hence denied access to credit.
3. Limited Access to Equity CapitalThis is common challenge
faced by this sector in spite of the fact that overall capital
inflows have witnessed significant increase in the recent years.
Absence of equity capital may pose a serious challenge to
development of knowledge-based industries, particularly those that
are sought to be promoted by the first-generation entrepreneurs
with the requisite expertise and knowledge. 4. Problems in supply
to government departments and agencies Majority of government
tenders prescribe high eligiERPlity criteria such as annual
turnover, past experience etc. which deters entity to MSME sector
5. Procurement of raw materials at a competitive costThis is a
growing challenge faced by this sector as procurement for raw
materials is carried out within local territory due to their
financial constraints and procurements are much smaller in scale as
compared to industry at large.6. Problems of storage, designing,
packaging and product displayMSMEs face problems of storage,
display and designs for their products. Non availaERPlity of
selling outlets for their products is a serious constraint. In
addition, MSEs also face problem of inadequate infrastructure for
marketing of their products to interior/remote parts of the
country. 7. Lack of access to global markets With the
liberalization and globalization of the Indian economy, the small
enterprises in India have unprecedented opportunities on the one
hand, and face serious challenges, on the other. While access to
global market has offered a host of business opportunities in the
form of new target markets, possiERPlities to exploit technological
advantage, etc., the challenges in this process have flowed mainly
from their scale of operation, technological obsolescence, and
inaERPlity to access institutional credit and intense competition
in marketing. 8. Inadequate infrastructure facilities, including
power, water, roads, etc.To ensure competitiveness of the MSMEs, it
is essential that the availaERPlity of infrastructure, technology
and skilled manpower are in tune with the global trends. MSMEs are
either located in industrial estates set up many decades ago or are
functioning within urban areas or have come up in an unorganized
manner in rural areas. The state of infrastructure, including
power, water, roads, etc. in such areas is poor and unreliable. 9.
Low technology levels and lack of access to modern technologyThe
MSME sector in India, with some exceptions, is characterized by low
technology levels, which acts as a handicap in the emerging global
market. As a result, the sustainaERPlity of a large number of MSMEs
will be in jeopardy in the face of competition from imports. 10.
Lack of skilled manpower for manufacturing, services, marketing,
etc. Although India has the advantage of a large pool of human
resources, the industry continues to face deficit in manpower with
skills set required for manufacturing, marketing, servicing, etc.
11. Absence of a suitable mechanismWhich enables the quick revival
of viable sick enterprises and allows unviable entities to close
down speedily.
12. Branding and MarketingDue to very high cost of business
acquisition, Low media budget, non-participation in International
events, the MSME branding and visiERPlity is extremely poor.
OBJECTIVESObjectives
To analysis the growth of SMEs in term of IT infrastructure. To
identify the challenges facing by SMEs in adoption of IT. To
analysis the future trend of IT in SMEs. To study the future market
of ERP in SMEs. To fill the knowledge gap in the IT literature for
understanding the process of adoption and implementation of IT
innovations in organizations.
METHODOLOGYMethodologyCollection of DataThe data has been
collected from the company reports and websites which were obtained
by the company.1. Primary DataData that has been collected from
first-hand-experience is known as primary data. Primary data has
not been published yet and is more reliable, authentic and
objective. Primary data has not been changed or altered by human
beings, therefore its validity is greater than secondary data.
Sources of Primary DataSources for primary data are limited and
at times it becomes difficult to obtain data from primary source
because of either scarcity of population or lack of cooperation.
Regardless of any difficulty one can face in collecting primary
data; it is the most authentic and reliable data source. Following
are some of the sources of primary data.a. Experiments: Experiments
require an artificial or natural setting in which to perform
logical study to collect data. Experiments are more suitable for
medicine, psychological studies, nutrition and for other scientific
studies. In experiments the experimenter has to keep control over
the influence of any extraneous variable on the results.b. Survey:
Survey is most commonly used method in social sciences, management,
marketing and psychology to some extent. Surveys can be conducted
in different methods.c. Questionnaire: This is the most commonly
used method in survey. Questionnaires are a list of questions
either open-ended or close -ended for which the respondent give
answers. Questionnaire can be conducted via telephone, mail, live
in a public area, or in an institute, through electronic mail or
through fax and other methods.d. Interview: Interview is a
face-to-face conversation with the respondent. In interview the
main problem arises when the respondent deliberately hides
information otherwise it is an in depth source of information. The
interviewer can not only record the statements the interviewee
speaks but he can observe the body language, expressions and other
reactions to the questions too. This enables the interviewer to
draw conclusions easily.e. Observations: Observation can be done
while letting the observing person know that he is being observed
or without letting him know. Observations can also be made in
natural settings as well as in artificially created
environment.
2. Secondary Data
Data collected from a source that has already been published in
any form is called as secondary data. The review of literature in
nay research is based on secondary data. Mostly from books,
journals and periodicals.Sources of Secondary DataSecondary data is
often readily available. After the expense of electronic media and
internet the availaERPlity of secondary data has become much
easier.a. Published Printed Sources: There are variety of published
printed sources. Their crediERPlity depends on many factors. For
example, on the writer, publishing company and time and date when
published. New sources are preferred and old sources should be
avoided as new technology and researches bring new facts into
light.a.1. Books: Books are available today on any topic that you
want to research. The use of books start before even you have
selected the topic. After selection of topics books provide insight
on how much work has already been done on the same topic and you
can prepare your literature review. Books are secondary source but
most authentic one in secondary sources.a.2. Journals/periodicals:
Journals and periodicals are becoming more important as far as data
collection is concerned. The reason is that journals provide
up-to-date information which at times books cannot and secondly,
journals can give information on the very specific topic on which
you are researching rather talking about more general topics.a.3.
Magazines/Newspapers: Magazines are also effective but not very
reliable. Newspaper on the other hand are more reliable and in some
cases the information can only be obtained from newspapers as in
the case of some political studies.a.4. Published Electronic
Sources: As internet is becoming more advance, fast and reachable
to the masses; it has been seen that much information that is not
available in printed form is available on internet. In the past the
crediERPlity of internet was questionable but today it is not. The
reason is that in the past journals and books were seldom published
on internet but today almost every journal and book is available
online. Some are free and for others you have to pay the price.a.5.
E-journals: e-journals are more commonly available than printed
journals. Latest journals are difficult to retrieve without
subscription but if your university has an e-library you can view
any journal, print it and those that are not available you can make
an order for them.a.6. General Websites: Generally websites do not
contain very reliable information so their content should be
checked for the reliaERPlity before quoting from them.a.7. Weblogs:
Weblogs are also becoming common. They are actually diaries written
by different people. These diaries are as reliable to use as
personal written diaries.b. Unpublished Personal RecordsSome
unpublished data may also be useful in some cases.b1. Diaries:
Diaries are personal records and are rarely available but if you
are conducting a descriptive research then they might be very
useful. The Anne Franks diary is the most famous example of this.
That diary contained the most accurate records of Nazi wars.
Letters: Letters like diaries are also a rich source but should be
checked for their reliaERPlity before using them.b2. Government
Records: Government records are very important for marketing,
management, humanities and social science research.c. Association
Datac.1. Association recordsc.2. Educational institutes recordsd.
Public Sector Recordsd.1. NGO's survey datad.2. Other private
companies records
SamplingIn statistics, quality assurance, & survey
methodology, sampling is concerned with the selection of a subset
of individuals from within a statistical population to estimate
characteristics of the whole population. Acceptance sampling is
used to determine if a production lot of material meets the
governing specifications. Two advantages of sampling are that the
cost is lower and data collection is faster than measuring the
entire population.Each observation measures one or more properties
(such as weight, location, color) of observable bodies
distinguished as independent objects or individuals. In survey
sampling, weights can be applied to the data to adjust for the
sample design, particularly stratified sampling (blocking). Results
from probaERPlity theory and statistical theory are employed to
guide practice. In business and medical research, sampling is
widely used for gathering information about a population.
The sampling process comprises several stages: Defining the
population of concern Specifying a sampling frame, a set of items
or events possible to measure Specifying a sampling method for
selecting items or events from the frame Determining the sample
size Implementing the sampling plan Sampling and data collecting
Data which can be selected
Sampling Technique:Simple random SamplingSample Size: 50Sample
Element:CompaniesSampling Area: IDA Cherlapally, HyderabadResearch
Instrument:QuestionnaireStatistical Method:Percentage Method
Analysis:Bar Diagrams, Pie-Charts
Sampling design of the study constitutes of two steps1.
Selection of the study area.1. Selection of the sample size.The
sampling design is considered as non-probaERPlity sampling.
Convenience sampling has been taken for conducting the survey.
Sampling ProcedureSimple random sampling was used to collect the
information because of time factor.Sample Size100 Samples were
collected for the studyPeriod of StudyThe period for the study went
for 45 days.Formulation of QuestionnaireThe structured un-disguised
questionnaire was prepared for collection of Primary data from the
customers. As the questionnaire is the only mode of Communication
between the researcher and the respondent, the questionnaire for
the Study was drafted with at most care and caution so that
relevant and essential Information for the inquiry may be collected
without any difficulty, amERPguity or Vagueness. To attain the
objectives different pattern of questions were made use of in the
study, they are
1. Dichotomous questionsDichotomous questions allow for only two
possible answers are yes or no.2. Multiple Choice questionsThese
types of questions list a number of answers and permit the subjects
to select the answers that best approximate their own views.3.
Open-ended questionsIn this type of questionnaire, the questions
are structured but the responses are Un-structured. The respondents
are free to reply with whatever information and in words, which
they consider to be relevant.4. Close-ended questions In this type
of questionnaire, both the questions and answers are arranged in a
structured pattern. Under this type of questions, there are various
sub-types.
Statistical DesignTo draw the inferences and conclusions from
collected observations both conventional and non-conventional
statistical techniques were used. The conventional Statistical
techniques adopted in the present study are percentage analysis
Population SizeI have divided the entire population industry
wise and from each industry and from each department I have picked
up 10 companies randomly and collected data.Sample size is: 250
SCOPE of the STUDY
Scope of the StudyInformation technologies (IT) have become one
of the most important infrastructural elements for SMEs in service
industries. Now, these firms show specific characteristics and
behaviors with regard to adopting and assimilating IT. These
specificities have not been taken into account however in
formulating a research framework or program on the adoption and
assimilation of IT in service SMEs. The present study thus seeks to
fill this void. After reviewing the literature on IT in the
services sector, the antecedents of IT adoption and assimilation in
the context of service SMEs are identified and integrated within a
research framework. This framework is then applied to generate a
set of twenty-two salient propositions for future research on IT
adoption and assimilation in service sector SMEs.Adoption rates
vary depending upon the nature of IT. For instance, in a study of
ERP adoption by European midsize companies, indicated, already in
1998, an adoption rate of about 20% in the project industry and the
wholesale industry, vs. nearly 40% in discrete and automotive,
explaining these differences by the fact that ERP has its roots in
manufacturing. In effect, most ERP vendors initially developed
products only for manufacturing companies and thus did not target
the services market. However, the expectations were high in the
years 1998-2000 regarding ERP in the services sector, as s study
found that 24% of the application budget in this sector was
allocated to ERP. This being said, if one analyzes the adoption of
ERP or integrated enterprise systems further, one quickly
identifies fundamental differences between the services and
manufacturing sectors at the software module level. For example,
one can easily understand that service firms do not implement
production planning modules, as the notion of material requirements
planning does not really apply in this context. However, they use
human resources and workforce management modules more than
manufacturing firms. With regard to ERP modules, research suggests
that the services sector largely benefit from logistics modules
such as project management and after-sales services even though
their integration is not as complete as in the manufacturing
sector. While ERP and supply-chain management (SCM) system adoption
rates are lower in the services sector, they are higher with regard
to customer-relationship management (CRM) systems. And studies also
indicate that e-commerce technology has been adopted at a faster
pace by services enterprises than by manufacturers. The scope of
this particular study has been restricted because of the various
constraints. Therefore the boundary or scope for this study has
been restricted to a selected sample of industry of IDA
Cherlapally, Hyderabad. An effort has been made to ensure that the
sample is represented the whole population. A sample of 50
companies out of the total all most all 50 companies we gathered
information through personal interaction with the questionnaire for
obtaining their responses.
LIMITATION of The STUDY
Limitation of the Study
This study covers data on Information Technology Road Map for
SMEs located in IDA Cherlapally, Hyderabad only. It will not
represent all India data. The sample consisted only of companies
with turnover of 50cr to 100cr. Companies of the lesser turnover
were not considered for the purpose of study. There is no concrete
basis to prove the response given is a true measure of the opinion
of all the companies as a whole.
Basic AssumptionsIt has been assumed that one of the limitations
of ERPas as stated above does not exist in the responses obtained
by the companies this is because if there is any kind of aERPas in
the answers to the questionnaire, then the purpose of conducting
the survey is defeated. Hence we go by the assumption that the
responses of the surveyed are free of ERPas and prejudice and that
they exhiERPt a true picture of the company.
DATA ANALYSIS TOOLS & TECHNIQUEData Analysis ToolsThis are
the toolsof MS Excel what I have used to analyze the survey data 1.
Sort: You can sort your Excel data on one column or multiple
columns. You can sort in ascending or descending order.2. Filter:
Filter your Excel data if you only want to display records that
meet certain criteria.3.Conditional Formatting: Conditional
formatting in Excel enables you to highlight cells with a certain
color, depending on the cell's value.4. Charts: A simple Excel
chart can say more than a sheet full of numbers. As you'll see,
creating charts is very easy.5. Pivot Tables: Pivot tables are one
of Excel's most powerful features. A pivot table allows you to
extract the significance from a large, detailed data set.6. Tables:
Tables allow you to analyze your data in Excel quickly and
easily.7. What-If Analysis: What-If Analysis in Excel allows you to
try out different values (scenarios) for formulas.8. Solver: Excel
includes a tool called solver that uses techniques from the
operations research to find optimal solutions for all kind of
decision problems.9. Analysis ToolPak: The Analysis ToolPak is an
Excel add-in program that provides data analysis tools for
financial, statistical and engineering data analysis.Data Analysis
Technique Narrative Descriptive Statistical/mathematical
Audio-Optical Others
CONTRIBUTION
ContributionHistorically, firms in the SME sector have used IT
mainly for managing accounts. Firms such as Tally etc. grew very
strongly during the first half of 2000s mainly due to providing
standalone IT solutions for accounting needs. Over the past few
years however, the SME sector is realizing the benefits of the
increased IT adoption in other areas as well. ERP giants such as
SAP and Oracle have announced separate initiatives to launch
products especially designed for the SME sector. These products
take short implementation times and licensing mode is favorable to
firms in the growth stage. Benefits from increased IT adoption are
manifold. While internally, increasing ICT penetration can improve
collaboration and efficiency, externally it can provide access to
markets which would have been otherwise inaccessible. When used
properly, ICT can enable small and medium sized businesses to: Spur
innovation Increase efficiency Manage customer relationships
properly Provide linkage to local, regional and international
markets Enable access to new technologies
Major benefits for increased IT adoption among SMEs are
enumerated in exhiERPt 2. As is evident from the research, the
major drivers for increased IT adoption among the SME is to
increase communication within the organization and to provide
linkages between customers and suppliers. While these drivers are
listed for organizations of all types, manufacturing firms tend to
focus more on aspects such as operations management.It is also
evident that accounting functionalities no longer figure in the
top-7 drivers for IT adoption. This may be because accounting
functionalities mostly come out of the box and most organizations
have already implemented solutions that can fulfil their basic
accounting needs.
INDUSTRY PROFILE
Industry ProfileCurrent Information Technology IndustryUser data
is like a treasure trove and ERP (ERP) is the tool that helps
enterprises leverage the data to increase customer engagement,
satisfaction and resolve their business imperatives. Slowly yet
gradually Indian CIOs are realizing the hidden potential of ERP.
They are also undergoing added pressure from consumers,
environmental policies, government and industry regulations to
improve their operations and processes to become both agile and
efficient in a volatile marketplace. These internal and external
pressures are driving increased adoption of analytics solutions
across the country.CIOReview as the navigator for enterprises to
get the clear picture of the ERP industry presents to you the '25
Most Promising ERP Companies in India'. We bring to you detailed
profiles of some of the best contenders in the ERP industry that
help enterprises adopt data analytics to ultimately fuel their
business growth. A distinguished panel comprising of accomplished
Indian CEO's & CIO's of public companies, VC's, analysts,
founders of other VC funded companies including CIOReview's
editorial board decided on the top 25 companies. These companies
have the technical skill sets and business acumen to become high
value organizations. The list will help you make the right choice
for your ERP needs.10 Most Promising ERP Companies in
IndiaCompanyFounder/CEOFoundedDescription
Advantics Solutions Pvt.LtdMumbai, Maharashtraadvantics.co.in
WinayakDurganandWagleDirector1991
A two decade old provider of end-to-end Data Warehousing and ERP
solutions, mainly in the Banking, Finance, Pharmacy and other
business verticals.
Bodhtree Consulting Limited Hyderabad, Andhra
Pradeshbodhtree.com Pal NatarajanCEO1999A provider of ERP tools and
solutions specializing in business strategy, business process,
ERP& advanced analytics Information management to name a
few.
Board Software (India) Pvt. Ltd. Mumbai, Maharashtraboard.com
Partha SenManaging Director Asia Pacific2008A provider of
programming-free toolkits for rapid and cost-effective development
of Corporate Performance Management and ERP software
applications.
BeetleRim Technologies Pvt. Ltd. Hyderabad, Andhra
PradeshBeetleRim.com BhargaviPagadalaFounder and Managing
Director2007A provider of ERP tools and solutions specializing in
business strategy, business process, ERP& advanced
analyticsInformation management to name a few.
ERPrst India Private Limited Ahmedabad, GujratERPrst.com Manish
JaniManaging Director2004A provider of an automated end-to-end,
enterprise-caliber ERP platform that solves the problem from data
to visualization.
DatawiseHyderabad, Andhra Pradeshmydatawise.com Vinay
KumarCEO2003A provider of ERP/Analytics, Consulting, Outsourcing
and data mining, incorporating strategic thoughts in cross
functional analytical intelligence.
Deflytics Software Pvt Ltd Mumbai, MaharashtraDeflytics.com
Sanjeev AgrawalDirector2012A provider of ERP and Analytic solutions
with professional Services to design, develop, configure, deploy
and maintain analytic solutions including ERPg Data and vertical
specific solutions, both on-premises and on-demand.
DreamorERPtSoftech Pvt. Ltd. Bangalore, KarnatakadreamorERPt.com
Sanchit JainCEO2010A provider of services across the entire Supply
Chain and Logistics and offers ERP consulting services on the
industry leading Microsoft SQL Server and LITE ERP platforms.
Elegant JERPElegantJERPAhmedabad, GujaratelegantjERP.com
KartikPatelCEO2001The company uses its innovative Managed Memory
Computing technology that has expanded the scope of application for
ERP tools.
GrayMatter Software Services Pvt LtdBangalore, Vikas GuptaCEO
& CTO2006A provider of ERP, Analytics and Data Science services
delivering enterprise wide reporting/decision enabling
solutions.
COMPANY PROFILE
Company ProfileTata Consultancy Services Limited (TCS) is an
Indian multinational information technology (IT) service,
consulting and business solutions company headquartered in Mumbai,
Maharashtra. TCS operates in 46 countries. It is a subsidiary of
the Tata Group and is listed on the Bombay Stock Exchange and the
National Stock Exchange of India. TCS is the largest Indian company
by market capitalization and is the largest India-based IT services
company by 2013 revenues. TCS is now placed among the Big 4 most
valuable IT services brands worldwide. In 2013, TCS is ranked 40th
overall in the Forbes World's Most Innovative Companies ranking,
making it both the highest-ranked IT services company and the top
Indian company. It is the world's 10th largest IT services
provider, measured by the revenues.History1968 to 2000Tata
Consultancy Services Ltd was founded in 1968 by a division of Tata
Sons Limited. Its early contracts included providing punched card
services to sister company TISCO (now Tata Steel), fortune ranking
1 working on an Inter-Branch Reconciliation System for the Central
Bank of India, and providing bureau services to Unit Trust of
India.In 1975, TCS conducted its first campus interviews, held at
IISc, Bangalore. The recruits comprised 12 Indian Institutes of
Technology graduates and three IISc graduates, who became the first
TCS employees to enter a formal graduate trainee programme. In
1979, TCS delivered an electronic depository and trading system
called SECOM for the Swiss company SIS SegaInterSettle. TCS
followed this up with System X for the Canadian Depository System
and automating the Johannesburg Stock Exchange. TCS associated with
a Swiss partner, TKS Teknosoft, which it later acquired. In 1981,
TCS established India's first dedicated software research and
development centre, the Tata Research Development and Design Centre
(TRDDC) in Pune. In 1985 TCS established India's first
client-dedicated offshore development centre, set up for clients
Tandem.In early the Indian IT outsourcing industry grew rapidly due
to the Y2K bug and the launch of a unified European currency, Euro.
TataConsultancyServices created the factory model for Y2K
conversion and developed software tools which automated the
conversion process and enabled third-party developer and client
implementation.
2000 to presentOn 25 August 2004, TCS became a publicly listed
company. In 2005, TCS became the first India-based IT services
company to enter the bioinformatics market. In 2006, TCS designed
an ERP system for the Indian Railway Catering and Tourism
Corporation. In 2008, TCS's e-business activities were generating
over US$500 million in annual revenues. TCS entered the small and
medium enterprises market for the first time in 2011, with
cloud-based offerings. In the 2011/12 fiscal year, TCS achieved
annual revenues of over US$10 billion for the first time. In May
2013, TCS was awarded a six-year contract worth over 1100 crores to
provide services to the Indian Department of Posts. In 2013 TCS
moved from the 13th position to 10th position in the League of top
10 global IT services companies.In July 2014, TCS became the first
Indian company to cross the Rs 5 lakh crore mark in market
capitalization. Products and servicesTCS and its 59 subsidiaries
provide a wide range of information technology-related products and
services including application development, business process
outsourcing, capacity planning, consulting, enterprise software,
hardware sizing, payment processing, software management and
technology education services. Its established software products
are TCS BaNCS and TCS MasterCraft. Service linesTCS' services are
currently organised into the following service lines (percentage of
total TCS revenues in the 2012-13 fiscal year generated by each
respective service line is shown in parentheses): Application
development and maintenance (43.80%); Asset leverage solutions
(2.70%); Assurance services (7.70%); Business process outsourcing
(12.50%); Consulting (2.00%); Engineering and Industrial services
(4.60%); Enterprise solutions (15.20%); and IT infrastructure
services (11.50%).
LITERATURE REVIEWLiterature ReviewThe modern economic
environment which is dominated by globalization, hyper-competition,
and knowledge and information revolution has revolutionized the way
business is conducted (Pavic et al., 2007). This new technological
epoch is apparent through the intensified investment in
computer-processing and data preparation appliance in the
manufacturing and service industry and telecommunications
infrastructure, and its widespread usage in government agencies,
educational organizations, and, more recently, in the households.
Owing to these technological progressions, the implementation and
application of IT is a significant driving force behind many
socioeconomic changes (Dierckx and Stroeken, 1999). As the
utilization and commercialization of IT becomes more widespread
throughout the world, the adoption of novel IT can generate new
business opportunities and various benefits. Nowadays, both large
organizations and SMEs are seeking out ways to reinforce their
competitive position and improve their productivity (Premkumar,
2003). Accordingly, there is an increasing consciousness of the
necessity to derive profit through investing in IT within SMEs. IT
tools significantly assist SMEs through supplying required
infrastructure necessary for providing appropriate types of
information at the right time. IT can also provide SMEs with
competitiveness through integration between supply chain partners
and inter-organizational functions, as well as by providing
critical information (Bhagwat and Sharma, 2007). Prior IT
literature however has shown that only a small number of studies
focused on the adoption and use of IT in SMEs (Grandon and Pearson,
2004). Moreover, it has been found that in spite of exponential
growth of IT within SMEs, the rate of IT adoption by these
businesses has remained relatively low (MacGregor and Vrazalic,
2005) and large organizations have noticeably profited more than
SMEs in both their IT-enabled improved sale and costs saving
(Riquelme, 2002). In looking for reasons for such differences in IT
adoption in SMEs, unique characteristics of these businesses can be
highlighted. SMEs generally have limited access to the market
information and suffer from globalization constraint
(Madrid-Guijarro et al., 2009). Moreover, management techniques
such as financial analysis, forecasting, and project management are
rarely used by SMEs (Blili and Raymond, 1993). Tendency to employ
generalists rather than specialists, reliance on short term
planning, informal and dynamic strategies and decision making
process, and lack of standardization of operating procedures are
other distinctive characteristics of SMEs (Dibrell et al., 2008;
Thong et al., 1996). However, restricted resources controlled by
SMEs, which is commonly referred to as resource poverty (Thong et
al., 1997; Welsh and White, 1981), is the major differentiator
between SMEs and large organizations. Therefore, and with regard to
the weakness of SMEs at different organizational and managerial,
technological, individual, and environmental levels, the IT
adoption and use in SMEs is in a disadvantage position in this
respect (Al-Qirim, 2007; MacGregor and Vrazalic, 2006).The aim of
this research is to achieve a better understanding of IT adoption
in SMEs through explicitly and understandably exploring and
identifying factors influencing IT adoption process within SMEs in
both developed and developing countries existing in the literature
with high concentration on certain SME-related issues. Proposed
conceptual framework demonstrates the determinants of IT adoption
process in SMEs through review of prior literature including
concepts, methodologies, theories, empirical research and case
studies relative to IT adoption among SMEs, and by comERPning
exiting perspectives. The research investigates and reveals a
number of internal and external issues pressuring and persuading
SMEs to adopt IT solutions. Likewise, barriers to IT adoption in
SMEs will be addressed by reviewing and classifying IT adoption
factors. Using the proposed conceptual framework, the authors
categorize and elucidate the key factors that directly or
indirectly, as well as positively or negatively impact the process
of IT adoption in SMEs.Information Technology Adoption ConceptIn
order to describe the process of IT adoption, it is essential to
define IT, as well as to scrutinize the adoption concept. For this
paper, an inclusive term of information technology is defined to
cover the multiplicity of these technologies. Within the diffusion
and adoption of information technology literature, there is no
generally accepted IT definition as various definitions of IT have
widely been employed by different researchers. IT might be regarded
as technological aspect of Information System (IS) (Hollander et
al., 1999), which is aimed for creation of computer-based IS by
using computer systems in organizations (Sarosa and Zowghi, 2003).
IT can be defined as those technologies engaged in the operation,
collection, transport, retrieving, storage, access presentation,
and transformation of information in all its forms ... (Boar,
1997). Moreover, IT adoption is defined by Tan et al. (2009) as
application of Information and Communication Technologies (ICT)
tools including computer hardware, software, and networks required
for connecting to the internet. According to (Attaran, 2003) ,
Information technology is defined as capaERPlities offered to
organizations by computers, software applications, and
telecommunications to deliver data, information, and knowledge to
individuals and processes, however, and with regard to the concept
of supplier relationships, Carr and Smeltzer (2002) defined IT as
the use of automated purchasing systems, supplier links through
electronic data interchange (EDI), computer-to-computer links with
key suppliers and finally information systems. In the light of
aforementioned views, term IT will cover wide range of information
processing and computer application in organizations in this study.
IT will cover IS, ICT, internet and their infrastructure including
computer hardware and software, those technologies that processes
or transmit information to enhance the effectiveness of individuals
and organizations. Furthermore, term IT also includes any computer
application and required hardware packages, Computer Aided Design
(CAD), Computer Aided Manufacturing (CAM), EDI, and Enterprise
Resource planning (ERP) which increase the productivity of
businesses, as well as any technologies used for electronic
commerce (EC) such as electronic funds transfer (EFT), intranet,
extranet, collaborative planning, forecasting, and replenishment
(CPFR) applications, supply chain communications systems, and
electronic supply chain management systems.On the other hand,
different definition of IT adoption in organizations has been
provided by prior literature such as decision to accept and use the
innovation (Premkumar and Roberts, 1999; Tan et al., 2009; Thong,
1999; Zaltman et al., 1973), the full use of innovation as intended
by the designer (Bving and Bdker, 2004), implementation success
(Thong, 2001), extent of usage (Davis, 1989; Grandon and Pearson,
2004)) and effectiveness and success of adopted IT based on
acceptance of or satisfaction with IT (Al-Gahtani et al., 2007;
Al-Gahtani and King, 1999; Foong, 1999; Palvia, 1996; Palvia and
Palvia, 1999). Thong and Yap (1995) defined IT adoption is SMEs as
applying computer hardware and software solutions that provide
support of operations, management, and decision-making in
organizations. They explain that the aim of IT adoption (including
computer applications such as CAD/CAM, EDI, MRP) is increasing
business productively.Information TechnologyAdoption withinSMEsThe
rich diversity of different perspectives toward factors that affect
IT adoption process is available on a huge body of literature. The
review of previous research has identified a number of influencing
factors. Most of these perspectives and studies have concentrated
on influencing factors such as top management, organizational
behavior and characteristics, firms resources, government,
customers, supplier and external IT consultant and vendors.Based on
a review of the existing literature on IT adoption in SMEs, an
integrated framework has been developed and used to classify
various issues and factors relative to process of IS/IT adoption
within SMEs (Figure1). This model merely comprises different
aspects of internal and external IT adoption factors (Drivers,
Influencing factors and barriers) and does not categorize adoption
factors based on being drivers or barriers of IT adoption in SMEs.
The authors believe that the presented categorization of IT
adoption issues and factors through developed conceptual framework
can help governments, organizations, managers and IT consultants to
achieve clearer understanding of IT adoption process. It also add
further knowledge to the literature while more comprehensive study
of IT adoption within SMEs investigating SME-related influencing
factors simultaneous with other aspects (drivers, enablers and
inhiERPtors) of IT adoption has been warranted by prior literature.
In the first part, internal and external factors influencing IT
adoption are discussed. This section puts forward a proposed
conceptual framework according to the literature and also includes
inclusive categorization, as well as review of factors influencing
adoption process. Finally, a brief explanation on the IT adoption
issues in SMEs would be followed.Influencing FactorsWithin this
study and as suggested by Figure 1, influencing factors are
categorized into two major clusters of factors and their
subcategories: internal and external factors. In addition, a brief
review and categorizations of factors influencing IT adoption in
SMEs has been offered in Table 1, those factors that are merely
SME-related.Internal Factors1. Top ManagementIn SMEs, IT adoption
process is directly affected by top management where all decisions
from daily functions to future investments are made by them (Bruque
and Moyano, 2007; Nguyen, 2009). SMEs mainly have simple and highly
centralized structures with the chief executive officers (CEOs) in
which, in most cases, owner and chief manager are one and the same
person (Ghobakhloo et al., 2011a). Some surveys have revealed that
when the SME owner/manager as the key decision maker makes a
decision or appoints a high significance and value upon internal or
external duties, the organization will also be inclined to respond
in an analogous fashion (Chau, 1995; Lybaert, 1998). A number of
studies have revealed that in SMEs, the role of CEOs (top
management or owner/manager) is central to enterprise since their
decision influences all firms activities, both in current and in
future (Fuller-Love, 2006; Smith, 2007). This also refers to IT
adoption decision from planning stage to the implementation,
maintaining, and system upgrade stages (Bruque and Moyano, 2007;
Fuller and Lewis, 2002; Nguyen, 2009). These decisions are mainly
based on their experiential knowledge derived from comERPnation of
existing competencies of knowledge, personal experience, judgment,
and their communication skills (Carson and Gilmore, 2000). However,
Keh et al. (2002) discuss that CEOs knowledge and experience
required for identifying opportunities is mostly attained by social
relationship network rather than individualistic psychological
traits.According to the literature, several factors including
managements perception of and attitude toward IT, support and
commitment, IT knowledge and experiences, innovativeness, perceived
behavioral control over IT, desire for growth, and familiarity with
administration directly impact the process of IT adoption is SMEs
(Drew, 2003; Lybaert, 1998; Premkumar, 2003; Qureshi and York,
2008; Thong et al., 1993; Thong and Yap, 1995).Accordingly, the
characteristics of the CEOs should be taken into consideration in
the investigation of strategic activities, such as the adoption of
innovations including IT as a new technology, and other novel
technologies as well (Lefebvre and Lefebvre, 1992). Studies by
Thong and Yap (1995) and Thong (1999) found that small businesses
those have adopted IT are more likely to have CEOs possessing more
positive attitude towards IT adoption. This view is reinforced by
Caldeira and Ward's (2003) study confirming that positive attitude
of top management has brought about the relative success of IS/IT
adoption in SMEs, especially in manufacturing ones. In addition, it
is argued that greater intention to adopt IT solutions is directly
attributable to the more positive attitude of small minority
business owners toward IT adoption (Qureshi and York, 2008).
Consequently, if the CEO perceives that benefits of IT adoption
outweigh its risks, then the business is more likely to adopt IT
(Thong and Yap, 1995). Prior literature suggests that when the
management has been highly willing to implement IT application,
SMEs do not perceive management priority on IT as a major barrier
in adopting IS applications (Bhagwat and Sharma, 2007). In
addition, positive attitude of top management toward using IT (as
the users of IT in SMEs) will result in IT acceptance and
subsequently success in SMEs (Al-Gahtani and King, 1999; Davis,
1993; Ghobakhloo et al., 2010).On the other hand, IT adoption
literature has provided evidence that top management support and
commitment towards IS/IT adoption is one of the key cornerstone of
higher levels of success and satisfaction with IS/IT adoption and
use in SMEs (Fink, 1998; Ghobakhloo et al., 2010; Premkumar, 2003;
Thong, 2001). Cragg and Zinatelli (1995) identified insufficient
attention by management to IS as one of three main problem areas
for computing in small firms. They argued that management can
directly impact IS evolution and sophistication, since top
management support and commitment is a key factor contributing to
the IS success within small firms. For success of IT in Malaysian
SMEs however it was found that anticipated benefits of
computerization in SMEs can only be achieved by existence of five
conditions including strong top management support as the key
condition (Foong, 1999). In a similar context, and interpreting the
successful adoption and use of IS/IT from the resource based
theory, Caldeira and Ward (2003) and Ghobakhloo et al. (2011b)
demonstrated that management support towards IS/IT adoption
significantly participates in the IS/IT adoption success within
SMEs. Opposite of what has been stated, Thong et al. (1993) and
Thong et al. (1997) argued that there is no relation between the
level of IS effectiveness and level of CEO support. Thong et al.
(1997) defined top management support based on 5 elements (Table
2). They discussed that there is no difference in the level of IS
effectiveness between small businesses with high levels of top
management support and small businesses with low levels of top
management support. The authors however believe that the role of
top management support in IT adoption within SMEs in consequential
and the Thong et al. (1993) and Thong et al. (1997) inconsistency
in providing the support for this factor can be attributed to their
definition of top management support and its measurement construct
in their research.CEOs IT knowledge and experience of IT is another
trait affecting IT adoption in SMEs (Drew, 2003; Fink, 1998;
Ghobakhloo et al., 2011a; Lybaert, 1998). A study by Thong et al.
(1995) demonstrated that small businesses with CEOs who are more
knowledgeable about IT are more probable to adopt IT. They
discussed that greater knowledge of CEOs will reduce the degree of
uncertainty entangled with IT which will result in lower risk of IT
adoption (Thong, 1999). Moreover, Palvia and Palvia (1999) found
that in SMEs, CEOs with higher levels of computing skills are more
satisfied with the implemented IS rather than those having inferior
skills while based on the literature, satisfaction with IS/IT is
one of the most applied measures of IT success in organizations
(Adamson and Shine, 2003; Jayasuriya, 1998; Palvia, 1996). These
views are consistent with the findings of other studies which found
that sufficient knowledge of IT and its consequent influences over
organization could be provocative and supportive for IT adoption in
SMEs (Fink, 1998; Lybaert, 1998; Sarosa and Zowghi, 2003).Another
influencing factor attributable to the top management
characteristics is CEO innovativeness, both in general and
IT-specific terms (Ghobakhloo et al., 2011a, 2011b). Personal
Innovativeness in IT (PIIT) has been revealed to be a reliable
predictor of users attitude about the simplicity of use and
effectiveness of new technologies (Nov and Ye, 2008). Agarwal and
Prasad (1998) have defined PIIT as the willingness of an individual
to try out any new information technology. They discuss that PIIT
is a major determinant of IT acceptance by moderating in perceived
usefulness (PU), compatiERPlity, and perceived ease of use (PEOU).
Here, it should be considered that in most of IT acceptance model
such as Technology Acceptance Model (TAM) (Davis, 1989), Decomposed
Theory of Planned Behaviour (DTPB) firstly introduced by Taylor and
Todd (1995) and the Unified Theory of Acceptance and Use of
Technology (UTAUT) by Venkatesh et al. (2003), as well as in
majority of models of users satisfaction including End User
Satisfaction (EUS) model (Adamson and Shine, 2003), Model of Small
Business User IT Satisfaction (Palvia and Palvia, 1999) and Wixom
and Todd (2005) integrated model of user satisfaction and
technology acceptance with IT, PU and PEOU are two key constructs
of user behavioral intention and subsequently IT usage behavior. An
empirical research by Thatcher andPerrewe (2002) demonstrated that
highly innovative individuals, having higher levels of PIIT, are
more likely to look for stimulating experiences, as well as having
more confidence in their competence to use IT. On the other hand,
individuals possessing lower levels of PIIT are more probable to
present general computer anxiety; also they might have less
tolerance for risk. Findings of their empirical study illustrated
the significant direct effects of PIIT on computer self-efficiency
while computer anxiety partially mediated PIIT's effect on CSE.In
general terms however and in SME context, studies by Ghobakhloo et
al. (2011a), Thong and Yap (1995), and Thong (1999) revealed that
movement toward IT adoption in small enterprises with innovator CEO
are more probable. Innovative CEOs would prefer to apply
distinctive and risky solutions such as IT that change the
structure in which the problems are generated. Thus CEOs desire of
being more innovative will expedite the process of IT adoption
(Thong and Yap, 1995). Accordingly, the authors suggest that above
mentioned studies and researches stress the significance of
innovativeness in both general term and in term of PIIT on user
perception and system acceptance where according to Scott and
Walczak (2009), individuals with higher levels of PIIT will possess
greater cognitive absorption and show higher computer
self-efficiency. In SMEs, where users of a new information system
are both employees and owner/managers, innovative owner/managers
will have a better attitude toward IT adoption.Desire for growth is
another characteristic of CEOs that deserves our attention as an
important influencing factor over adoption of IT. Lybaert (1998)
discusses that firms size is positively related to the decision to
accumulate additional information, and growth of a firm is coupled
with the gathering of additional information. They found that SMEs
owner/manager, who makes most of the critical decisions and allows
the firm to grow, uses more information when possesses greater
desire for growth. Moreover, they argued that familiarity with
administration is other important CEO-related determinant which
influences the use of information and IS within SMEs. Lybaert
(1998) study showed that comparing to CEOs not possessing knowledge
of administration, CEOs with high familiarity with administration
will use more information and subsequently IT.2. ResourcesSMEs have
generally been distinguished by and are suffering from their
restricted access to particular recourses compared to ERPg
organizations (Igbaria et al., 1997; Nieto and Fernndez, 2005).
according to the literature of IT adoption and due to SMEs unique
characteristics, financial resources, technical and managerial
resources, information resources accessiERPlity, internal and
external expertise, market accessiERPlity, and in-house IT
knowledge and experience are resources with aERPlity to hinder or
simplify the adoption of IT in SMEs, and to positively or
negatively influence this process as well (Caldeira and Ward, 2003;
Cragg and Zinatelli, 1995; Dutta and Evrard, 1999; Fink, 1998;
Lybaert, 1998; Nguyen, 2009; Southern and Tilley, 2000; Thong,
2001). A study by Dutta and Evrard (1999) investigating the
strategic management of IT and organization within small
enterprises in six different European countries suggests that the
differences between small firms which are capable to make the use
of IT and those enterprise which are not is partially attributable
to quality of the internal resources, predominantly manpower, and
initially the control of technological information. They also
stated that innovation is often impeded through an insufficiency of
financial resources required for RandD.Financial resources are one
of the most considerable critical resources which are known as the
key SMEs performance requirements and subsequently critical success
factors based on resource-based theory (Rangone, 1999). In general,
most SMEs are suffering from not having sufficient financial
resources and most owner/managers invest their own personal assets
(Fuller-Love, 2006). Limited financial resources compel SMEs to be
cautious about their investment and capital spending (Ghobakhloo et
al., 2011b). An imprecise IT investment decision can impose drastic
financial consequences for SMEs and in extreme circumstances; it
may lead to an insolvency and economical failure (Sarosa and
Zowghi, 2003). As implementation of new IT system and its
components requires long term investment (Nguyen, 2009) and
concerning the high cost of IT infrastructure (Walczuch et al.,
2000), only SMEs having adequate financial resources would regard
adoption of IT as a feasible project to undertake (Thong and Yap,
1995), so that SMEs owner/managers who have access to necessary
financial resources are more capable to establish desired IS
(Lybaert, 1998). However, and despite a number of studies have
revealed that the financial restriction of SMEs regarding IT
adoption is attributable to the high cost of IT tools and
infrastructure (Chau, 1995; Premkumar, 2003; Walczuch et al.,
2000), Dibrell et al. (2008) and Wu et al. (2006) suggest that; as
the price of computer hardware and software has been considerably
declined in recent years, IT implementation expenses are not major
factor hindering IT adoption process in SMEs regarding their
limited financial resources. Nevertheless, it should be considered
that along with the initial cost of computer hardware and software,
other IS/IT implementation expanses including the cost of users
training and development and the post deployment costs should be
undertaken by SMEs during different phase of IT adoption (Nguyen,
2009). With regard to this view, Ein-Dor and Segev (1978) supposed
that throughinvesting sufficient financial resources, the
probaERPlity of IS implementation success within organizations will
be increased. This view is empirically reinforced by Thong (2001)
who demonstrated that after external expertise, IS investment is
the second most significant determinant of IS implementation
success in Singaporean small business. Their study demonstrated
that higher levels of allocation for IS investment will amplify the
possiERPlity of IS implementation success in small businesses,
while through this allocation for investment, small businesses will
be able to hire more experienced external experts and/or implement
better IS that meet their goals. Furthermore, due to abovementioned
restrictions and regardless of decrease in the price of preliminary
IT tools, SMEs are generally unable to meet the expense of other IT
adoption costs such as taking expert professionals into service
(Ghobakhloo et al., 2011b); therefore, SMEs are facing great
difficulty hiring IT specialist to successfully implement IT with
regard to financial constraints (Caldeira and Ward, 2003; Sarosa
and Zowghi, 2003). This view is supported through a study by
Pontikakis et al. (2006) of adoption of Internet-enabled Personal
Computers (IEPCs) by Greek SMEs suggesting that when companies are
traditionally facing with limited access to finance, a small number
of SMEs are capable to rationalize costs of IT adoption, even as
these costs encompass purchasing technology expenses (e.g. hardware
and software) along with the costs of employee training,
organizational restructuring and upgrading existing facilities.On
the other hand, and comparing to large organization, it has been
acknowledged that SMEs are suffering from lack of in-house IT
expertise which might negatively influence the process of IT
adoption (Chau, 1995; Cragg and Zinatelli, 1995; Fink, 1998). As a
result, SME are facing significant risks and problems with their
computerization regarding their inadequate knowledge of IS/IT
implementation (Igbaria et al., 1997). Cragg and Zinatelli (1995)
conducted a longitudinal study over an eight year period of IS
sophistication and evolution in eighteen small firms and
demonstrated that evolution and sophistication of IS within small
firms will be drastically inhiERPted when small enterprises are
suffering from lack of internal expertise. This view is supported
through a study by Caldeira and Ward (2003) who revealed that
internal expertise consisting of employees, supervisors, or those
from top management are powerful determinants of IT adoption. In
addition, Southern and Tilley (2000) categorized SMEs into three
main groups based on level of ITC utilization; low users, medium
users, and high users. They further found that the levels of IT
(technological) expertise existing within the medium small firm
users of ICTs are greater than low users of ICTs, while high small
firm users of ICTs are more tendentious to have technological
expertise than low and medium users.In addition, knowledge of IT is
another vital resource influencing IT adoption in SMEs. Development
of internal IS/IT knowledge and skills is one of the most important
basis required for providing superior levels of IS/IT adoption and
satisfaction in SMEs (Caldeira and Ward, 2003). In general, lack of
IT knowledge in SMEs can be regarded as a barrier to IT adoption
since CEOs of SMEs might be bewildered by swift development of IT
tools and countless variety of choices (Sarosa and Zowghi, 2003;
Venkatesh and Brown, 2001). Therefore, with regard to this fact
that SMEs generally lack IT resources and skills (e.g. IT knowledge
and computing skills) (Chan and Chung, 2002; Igbaria et al., 1997;
Levy et al., 2001), theses business can provide themselves with
potential resources from networking and also benefit from it when
it comes to adopting IT (Fletcher, 2002; Nguyen, 2009). In SMEs,
networking can be defined as a number of interaction between
organizations, counterparts, suppliers, customers, and vendors so
that, they could be either personal network or business network
(Palvia and Palvia, 1999). Hence, the networks are a crucial ways
for acquiring access to external knowledge required for successful
implementation of IT (Nguyen, 2009).3. End usersIn most of
organizations, employees are regarded as significant assets which
along with the role of owner/manager, the firms survival and
success seriously depend on them (Melville et al., 2004; Nguyen,
2009). These assets as the users of IT within SMEs are another
precious resource of firms (Caldeira and Ward, 2003) which needs to
be developed to contribute to the success of business (Egbu et al.,
2005; Zhou et al., 2009).Prior literature suggests that
characteristics of IT users including knowledge of IT, training,
attitudes and intention toward IT, and participation and
involvement in adoption process could impact IS/IT acceptance or
its adoption process as well (Caldeira and Ward, 2003; Fink, 1998;
Fisher and Howell, 2004; Lybaert, 1998; Robey and Zeller, 1978;
Thong, 2001). Limited use of IT and a lack of success in reaping
benefit from computer hardware and software in organizations, those
issues that have negatively affected IS/IT in SMEs is attributable
to the lack of training and skills in organizations where the
successful adoption of IT needs sharing of knowledge, training, and
higher levels of skills by the employees who are users of IT (Egbu
et al., 2005; Ghobakhloo et al., 2010). To facilitate the
successful implementation of IS in SMEs, and to avoid adoption
failure, these businesses should also augment the level of IS
knowledge among potential IS users through providing firms staffs
with computer education and training courses (Thong, 2001). Sarosa
and Zowghi (2003)and Ghobakhlooet al. (2010) argue that IT
acceptance within users of IT as a part of firms employee will
impose positive impacts on IT adoption. According to these authors,
level of IT adoption and usage by users will be affected through
provided IT course and training while higher knowledge of IT among
users would help them in implementing the new technology.Premkumar
and Roberts (1999) suggest that increasing users awareness of the
benefits of information telecommunication technologies will also
positively influence the process of these technologies adoption
while this awareness could be amplified through improved education
and training. Correspondingly, a study by Kleintop and Blau (1994)
investigating impact of end users training on electronic mail
system implementation demonstrate that end users practice with new
IT system before its implementation will result in higher level of
IT system acceptance. In addition, their research suggests that
increase in amount of training among end users before IT
implementation might lead to higher level of perceived ease of
using IT, as well as perception of IS usefulness. Moreover, it is
suggested that positive change or improvement of business
functionality through new system may not be believed by some
employees (Anderson and Huang, 2006). Regarding this pessimistic
attitude, Bruque and Moyano (2007) suggested that employing new
staffs instead of training current employees might be more
effective way. This view is supported by more recent literature
recommending that training should be provided to current staffs if
cost of hiring new staff is higher than providing training to the
existing employees and if there would be a substantial change in
the IT through providing training (Ghobakhloo et al., 2011a;
Nguyen, 2009).A number of prior studies have demonstrated that
employee acceptance and usage of and satisfaction with IT might be
immoderately problematic regarding adoption success (Davis, 1993;
Igbaria et al., 1997; Zhou et al., 2009) where according to Bull
(2003), more than half the computer systems implemented in western
countries are underused or not utilized at all. The acceptance of
IT by users including managers, professionals, and operating level
personnel, which is an essential condition for its success, can be
regarded as the success measures including user attitudes, usage,
and satisfaction (Al-Gahtani and King, 1999). Lack of user
acceptance has long been confirmed to be an impediment to the
success of new IS, so user acceptance is regarded as the key factor
determining success or failure of IS/IT projects (Davis, 1993). In
SMEs, Employees attitude toward IT adoption might have significant
impact on system acceptance and adoption success so that negative
attitude of some users toward IT could negatively affect successful
implementation of IT (Nguyen, 2009). They may not perceive that new
IT can change or improve business function and when it comes to
adopt IT, they might be worried about consequences such as threat
of losing job (Irani et al., 2001). Nonetheless, employees
attitudes toward use of the IS will be encouraged through evident
top management support which will bring about a more tolerable
conversion from the existing work practices and company operations
(Thong et al., 1997). Moreover, Davis, (1993), Igbaria et al.
(1997), Straub et al. (1995), and Szajna (1996) found that attitude
toward using, along with PU and PEOU can fully affect the
acceptance of IT by its users. PU refers to the degree to which a
person believes that using a particular system would enhance his or
her job performance (Davis, 1989) whileDavis (1989) defines PEOU as
the degree to which a person believes that using a particular
system would be free of effort. Above mentioned view was validated
in small businesses through a study by Igbaria et al. (1997) who
demonstrated that users IT acceptance in small businesses is
directly affected by PU and PEOU. In addition, the contribution of
PU in promoting personal computing acceptance in small businesses
is mediated by PEOU.On the other hand, employees (as the users of
IT) satisfaction with IT is another dimension of IT adoption
success in SMEs (Adam Mahmood et al., 2000; Adamson and Shine,
2003; Al-Gahtani and King, 1999; Palvia, 1996; Palvia and Palvia,
1999; Yan et al., 2007). Contrary to technology acceptance
literature focusing on individuals behavior and beliefs, system and
information characteristics have been regarded as core concepts in
the user satisfaction literature (Ghobakhloo et al., 2010). Adam
Mahmood et al., (2000) argue that end-user information satisfaction
is strongly a