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Statement of review All papers resproduced in these proceedings have been indepedently peer reviewed, by at least two qualified
reviewers, with DIRJEN DIKTI requirement.
All papers reproduced in these proceedings were presented at International Seminar and Conference on Learning
Organzations (ISCLO) held at Ritz-Carlton Hotel, Mega Kuningan, Jakarta, Indonesia between 5 – 6 November,
2014
Disclaimer The opinions, advices and information contained in this publication do not necessarily reflect the views or policies
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on Learning Organization 2014. Any other use is prohibited without the express permission of the author(s). Apart from any fair dealing for the purposes of research or private study, criticism or review, as permitted under the
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List of reviewers (ISCLO Scientific Commitee) The conference organisers would like to express their gratitude for the contribution made by the following reviewers
of papers reproduced in these proceedings.
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Prof. William Hickey, PhD (Solbridge International School of Business, Korea) Prof. Togar Simatupang, PhD (School of Business and Management ITB, Indonesia) Prof. Jann Hidayat Tjakraatmadja (School of Business and Management ITB, Indonesia) Prof. Peter Charles Wood, PhD (Malaysia Multimedia University, Malaysia) Prof. Zulikha Jamaluddin (Universiti Utara Malaysia, Malaysia) Prof. Dr. Ir. Riri Fitri Sari MM MSc (Indonesia University, Indonesia) Prof. Andreas Budiharjo (Prasetiya Mulya Business School, Indonesia) Prof. Dermawan Wibisono (School of Business and Management ITB, Indonesia) Prof. Sucherly (Padjajaran University, Indonesia) Prof. Lim Cher Ping, PhD (Hongkong Institute of Educator, Hongkong) Ade Irma Susanti, Ph.D (Telkom University, Indonesia) Dr. Yudi Pramudiana (Telkom University, Indonesia) Dr. Sutanto (Universite de La Rochelle, France and University of Sebelas Maret Solo, Indonesia) Dr. Ningky Sasanti Munir (PPM School of Management, Indonesia) Dr. Teguh Widodo (Telkom University, Indonesia) Dr. Dodie Tricahyono (Telkom University, Indonesia) Dr. Darwina Binti Hj. Ahmad Arshad (Univeriti Utara Malaysia, Malaysia) Dr. Jafar Sembiring (Telkom University, Indonesia) Dr. Jamari (University of Twente, The Netherlands and Univerisity of Diponegoro, Indonesia)
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Editorial
It is with pleasure that I present the full papers of the 2014 International Seminar and Conference on Learning
Organization (ISCLO).
Each paper represents a substantial contribution to the learning organization in all its defined forms, such as
Corporate Learning, Corporate Univeristy, Leadership Pipeline, Global Competitiveness, Managing Diveristy,
Knowledge Management, Instructional Design System, and Learning Technology & Methodlogy. With such
dynamic business environment, learning organization is required to anticipate any uncertain future. Companies are
required to be able to enhance their business’ excellence and sustainability. Learning organization means that the
corporates should facilitate the learning process for all their members, including their stakeholders, and
continuously make improvements. In addition, an organization is expected to learn collectively and continuously to
obtain, organize and use knowledge for the success of the organization. Learning organization, furthermore, means
empower people in and around it to build a sustainable competitive advantage.
As we all know that the ASEAN Economic Community (AEC) in 2015 is approaching. ASEAN Economic Community
(AEC) will be the goal of regional economic integration by 2015. ASEAN Economic Community whose platform is
similar to the European Economic Community (EEC) can be a serious threat to those who are not ready yet.
Although the spirit behind the establishment of the AEC is to reduce poverty and economic disparities among the
ASEAN member countries through a number of mutually beneficial cooperation, in practice, AEC will also trigger a
frontal competition in the levels of nations, industries, companies, and even, up to the individual (labor).
The crucial issue of AEC is related to the movement of human capital which includes a group of highly skill and
have international certification. Those who have a license and certification can freely enter anywhere including
Indonesian market. And vice versa, with their international certification, experts from Indonesia can freely take part
in other ASEAN countries. This condition undoubtedly becomes a great threat to those who are low competent ; in
contrast, it becomes great opportunities for those who are of global standards.
Like two sides of a coin, AEC could be a deadly threat and at the same time be a lucrative opportunity. AEC pushes
us to let outsiders enter our markets, but it provides us the way to grab far greater and profitable opportunities. The
implementation plan of the ASEAN Economic Community is not merely discussing the economic relations among
the countries that predictably will be more widely open. Basically it is not only the country that has an intention in
this case, but also the people in it. Globalization, undeniably, has made the national boundaries become blurred
(borderless). Through AEC every individual would have equal opportunity to achieve something, to improve his/her
welfare as well.
Overall, there is clear evidence of an emerging body of knowledge around learning organization. Presented in these
proceedings are 66 papers. The conference had 79 papers submitted for review, and these proceedings therefore
represent an 82% success rate upon review. The conference overall had 66 presentations delievered. These
proceedings represent all presentations made at the conference.
Enjoy reading these proceedings and I hope that they contribute further to the advancement of ideas around work-
intergrated-learning and responding to the challenges of this space
Sri Praptini Rahayu 2nd
ISCLO 2014 Chairwoman
email : [email protected]
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The ISCLO Conference 2014
The Impact of Innovation and Information Communication
Technology on Human Resources: A Review
R. Mustafaa, S. Syahputrabc*, M.Y. Mustafad, Y.A. Sadelie
a Universitas Fajar of Makassar, Indonesia
Mechanical Engineering Department, The University of Fajar, Jl. Prof. Abdurrahman Basalamah
101, Makassar b Telkom
University, Bandung, Indonesia Faculty of Communication and Business, Business Administration Program
Jl. Telekomunikasi No.1, Bandung c PhD candidates, Othman Yeop Abdullah Graduate School of Business, Universiti
Utara Malaysia, 06010 UUM Sintok, Kedah Darul Aman
Malaysia d Universiti Kebangsaan Malaysia, Malaysia UKM Graduate School of Business, 43600 UKM
Bangi, Malaysia e Sekolah Tinggi Ilmu Ekonomi
Makassar Bongaya, Indonesia Jl. Letjen Pol. A.
Mappouddang No. 28, Makassar
Abstract Literatures show that innovation does not solely deal with research and development, process and production issues, but
they are matter of social aspects as described by the ‘the social network theory of innovation’ (which also known as the fifth
evolution of innovation studies in term of technological development) as the consequences of the innovation nature which
become more complex and systemic. Nevertheless, within the frame of this evolution, few studies have carefully noticed
the significance of human resources roles from organization-level view as important determinant in the context of relation
between social-based innovation and Information, and Communication Technology. From literature study and the method
of this study, this paper suggests that emerging and profound Knowledge-Based Economy (KBE) approach, which inter-
relates and interplays with social innovation, influences the organizational structure and process. From the structure of
organization, the paper examines and compares between the role of agents within group level and organizations or firms
level in term of how the appropriate learning processes are taking places within different systems building development
stages. This comparison is then put into the conditions of building the systems of innovation. The study calls this approach
“system building vs. appropriate learning”. From the process within internal organization, the paper examines appropriate
learning processes taking place at the level of group and organization and the relevant consequences on the knowledge needs.
The paper has some results for further discussion on (1) institutional shaping and re-shaping as well as development and re-
development in relation to the human resources demand, and (2) the initial models of human resources role at group and
organizational level within organization in the knowledge-based economy.
© 2014 R. Mustafa, S. Syahputra, M.Y. Mustafa, Y.A. Sadeli. Published by Telkom Pub. Ltd. Selection and peer-review under responsibility of The ISCLO, Department of Communication, University of
Telkom, 20342 Bandung, Indonesia. Keywords: ICT, social and system innovation, knowledge, learning, human resources.
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1. Introduction
Recent studies of innovation show the systemic and complex nature dealing with the complex relations and
* Corresponding author. Tel.: +62-8122342210. E-mail address: [email protected], [email protected] interactions among agents of the system. The institutional settings of these relations and interactions are used in order
to capture, diffuse, use, and produce knowledge as the core element of the innovation. The development of ICT as
the fifth technological revolution, in term of Perez’s work [1] opens unexplored interesting research works from
innovation studies perspective. The paper studies this unexplored interesting works, by studying the impact of ICT development and systems of
innovation on human resources demand. The writer realizes that it is hard for this paper to cover the whole part of
the system or greater part of the system. To examine the impact of ICT development and systems of innovation, the
study compares the characters of system building process and the learning types of agents. This comparison is called
“system building vs. appropriate learning”. The paper discusses some preliminary results; some of them may become
sources for further explorative research.
1.1. System of Innovation
The term of “innovation” has been the most spoken word in the 21st century from different fields of study, both
theoretical and practical orientations, at all layers of organizations. Perez [1] studies this trend as the fifth development
of technological revolution while Kotsemir & Meissner [2] described this trend to their work on the evolution of
innovation model. The recent development of this study shows that innovation is systemic and complex in nature [3,
4, 5]. One of the approaches to deal with this systemic and complex nature of innovation is “systems of innovation”.
System of innovations study these characteristics [3, 6, 7]. Freeman [8] and Edquist [3] identified some important elements from the definition of systems of innovation; (1)
agents, (2) institutions and or organizations, (3) the relation and interactions among agents and organizations, (4) the
institutions that set and rule agents activities, and (5) knowledge acquiring, diffusing, distributing, producing, and
using. The development of this system follows the concepts of path-dependent and therefore evolutionary
development [3, 6], under the dynamic conditions of uncertainties, qualitative changes and irreversibility [9], while
the performance of the system depends on the quality of its sub-systems that constitutes with trials and errors
mechanism [10]. Agents that consist of government, academic organizations or universities, and firms or private organizations are the
main elements of this system. Interactions between or among agents result in one’s influence over others or in that
ones are influenced by others. According to Smits and Kuhlmann [7], the level of interaction among agents may take
place within intra-organization or inter-organizations. The characteristics of interactions or interplays among agents
are context specific, which means that geographical characters and institutional settings considerably influence these
relations [3]. This raises the importance of social consideration. The institutional sets are “the rule of the game” of the relation and interactions among agents. In Smits’ work [7],
institutions can function as intermediary infrastructures or supporting infrastructures. As intermediary function,
institution develops interface and exchange of knowledge between supply-side agent and demand-side agent, while
supporting infrastructures are used to support both sides including intermediary infrastructure to the working of the
system. The role of institution is “the striking characteristics of the innovation system approach” [3].
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1.2. Knowledge-Based Economy
The main accepted features in the system of innovation approach that knowledge is the major factor in the economic
growth and that “innovation processes are systemic by nature” [5] is the main basis of Knowledge-Based Economy
(KBE) concept. The way knowledge is processed is the main concern of the system of innovation studies to the
extent that these processes are complex: it involves many different heterogeneous agents from different levels within
the organization [3], facing specific and context-based institutional settings in term of policies [4, 6, 11] and
organizational structure [3], technological development and regimes [1]. This knowledge within the firm is in the form of codified or tacit knowledge [3, 4]. Some knowledge can be easily
available to transfer, to translate, to use, and to re-produce and some others or tacit knowledge need special exchange
mechanism. The process of knowledge transfer within the organization or inter-organizations is the main concern of
policymakers in order to be competitive or to develop their systems of innovation. In other terms, knowledge is
classified as applied, technological or organizational knowledge [4], or is distinguished between “know-what”,
“know-how” and “knowwhy” [9] Agents are the only system of innovation creators; innovation is characterized as the “man-made” [10]. Agents (from
all supply- and demand sides, intermediary and supporting infrastructure) are the “repository of social knowledge”
[11]. From selected studies of systems of innovation, they show that the role of agents as the central element of the
systems [6, 11]. Most of these studies focus on (1) how the policy makers, or governments in the perspective of
systems of innovation particularly on national level, develop a Knowledge-Oriented Policy, or KOP, [6, 12] in which
the knowledge acquired and distributed is important, not just producing new knowledge production as in the case of
Neo-Classical framework [13], and (2) where learning is the main process. An aspect of human resources requirement
relates to skills, The Impact of Innovation and Information Communication Technology on Human Resources: A Review
competencies and personnel, to support the KOP framework especially emphasized by Cohendet and Mehyer-
Krahmer (2005). They proposed the role of communities as the intermediary to their policy framework. Llrena and
Schenk in another aspect shows the role of organizations, German Federal Ministry for Research and Technology
(BMFT) and of Transport (BMV), in term of learning the two technologies which are a-synchronic. These two studies
examine human resources from different layers; group levels in Cohendet and Mehyer-Krahmer and organization
levels in Llrena and Schenk. As mentioned above, learning is the main process in the knowledge-based policy paradigm and in the systems of
innovation. All studies on systems of innovation put learning as the main process of knowledge management [2, 3,
5, 10, 12] and divide learning into learning by doing, learning by interacting, learning by using [3], learning on system
levels [10] and learning by exploration and exploitation [12]. Both types of learning are described in the context on
how policy in the systems of innovation frame is developed, transformed, and implemented. The question on where
this learning occurs is not specified.
1.3. Information and Communication Technologies and Systems of Innovation (ICT): The Role and Relations
Under the techno-economic paradigm, Perez [1] has shown that ICT development is the fifth technological
revolution, in which this development shapes the previous technology regimes and further affects all aspects of life;
social, political, economic, and technological. Perez [1] listed some features of this ICT development that creates new
as well as redefines infrastructure such as world digital telecommunication, e-service basis, high-speed physical
transport links. The key message of Perez’s work on technological revolution is that the new technology, where
during early phase of its life cycle or between the period of gestation and paradigm configuration, and which is
supported by other emerging technologies, will “lead to massive replacement of one set of technologies by another”
and involve “profound change in people, organizations and skills” [1]. In another point of view, Edquist [3] described that innovation process is not in isolation; other elements of the
system play their roles in interlinked conditions. Technology development takes place in the form of cluster [12]. In
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this circumstance, ICT development influences the systems of innovation; the quantity and quality of agents
interactions are increasing as the ICT shortens the time and space boundaries. The massive information pools as the
basis of knowledge resources, responsive institutions to adapt and change, and the abilities of agents to conditions of
more-interaction lead to more networks establishment, to massive information processing, and to face the fast
changing institutional settings. One consequence of this influence is that the systems of innovation also influence the
ICT development more rapidly. The relation between ICT development and the systems of innovation leads to a
system dynamics condition in which there is a loop relation with feedback mechanisms that either reinforce or weaken
the relation [14].
2. The Method: Human Resources Position Constitutes to Dynamic Relation of ICT Development and
Systems of Innovation
As mentioned above, the role of human resources to the knowledge management is important. This role, however,
varies across different levels of organization; for example, group level and organization or management level.
Meanwhile, in the context of systems of innovation characteristics, the knowledge processing significantly considers
learning as the fundamental activities. (1) What are the agents’ positions in the dynamic relation of ICT development
and systems of innovation framework? (2) How are the learning processes undertaken by agents within different
organization contexts? (3) Who have the critical roles within these learning processes? This paper tries to approach
these questions. This paper is a literature and exploitation study. The paper studies the recent selected literatures in the area of systems
of innovation, KBE and knowledge management and policy. From this study, it suggests that, although the role of
agents is specified as important and the learning is the critical process within the context of systems of innovation,
no studies are covering together these system elements. The lack of this is reasonable since (1) the systems of
innovation studies are more macro orientation, (2) and studies of KBE, knowledge management or policy are more
on micro perspective such as focusing on organizational level (government or firms). Therefore, an exploitation in
term of covering together both two elements (of agents and learning process) is the method to deal with the study’s
questions. In order to discuss the possible answers to these questions mentioned above, this study compared the (1) way the
systems of innovation was built, designed, and developed, with (2) the learning process that took place during the
system building. The rationale of this comparison is that the system building process requires different institutional
[3], social [5], political [5], and technological settings [1]. Consequently, the system building processes require
learning processes that take place in different types. In other words, these two conditions are important. Therefore
the role of agents to tackle these conditions is crucial. How agents do learn within these conditions is interesting in
order, for example, to solve the emerging problems and to manage the organizations to show their existences and to
be competitive. The comparison between building the systems of innovation and what role learning may critically play is
called “system building vs. appropriate learning” approach. The “system building vs. appropriate learning” is related
to Edquist’s work in comparing the concept of the system between Nelson and Rosenberg and Carlson [3]. Edquist
describes that, partly, elements of the system are designed consciously and, partly, over extended time of period
elements evolve spontaneously. In other part of Edquist explanations, citing the words from Lundvall [3], he
mentioned the type of learning as learning by doing, learning by using, and learning by interacting. Learning by doing
deals with “increasing the efficiency of production operations”, learning by using is for “increasing the efficiency of
the use of complete system”, and learning by interacting is about “involving users and producers in an interaction
resulting in product innovation”. The paper did not consider the learning type by Llrena and Schenk [12], Fischer &
Fröhlich [4] or King [9] for the limitation of this paper.
3. Discussion
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The “system building vs. appropriate learning” consists of two dimensions: the dimension of “system building” and
“learning type”. The “System building” dimension are “as-designed” and “spontaneously” element. Meanwhile,
“Learning type” has learning-by-doing, learning-by-using, and learning-by-interacting element.
• As-Designed Element
By comparing the “as-designed” element with the whole elements of learning type, the study argues that
“asdesigned” system is relevant for all learning types; all types of learning are able to take place in “as-designed”
condition of the system. It can be further argued, then, that when the system of innovations in the part of designed
consciously (asdesigned) then human resources demand takes into consideration all aspects of learning. These
conditions have influenced both levels of group (that constitutes to learning-by-doing and learning-by-using) and
organization or management levels (that constitute mostly learning-by-interacting as it deals with inter-organization
relation). Putting this on the frame of relation between ICT development and systems of innovation, the study suggests that
the development of ICT takes into consideration learning processes on both levels of group and organization or
management. It further means that learning in both levels to knowledge management program is important for ICT
development. Human resources demand to this circumstance considers the qualification of decision-making skill on
both strategic and tactical goals. The “as-designed” condition is near to the period of deployment within the four basic phases of each surge of
development by Perez [1]. Within this period firms or organizations can manage their social, economic, political
factors. The conditions of this period are not under uncertain and complex.
• “Spontaneously” Element
Comparing “spontaneously” element with all types of learning, the study argues that only learning-by-interacting
may be able to take place within the “spontaneous” situation of the system in the evolving process. The further
argument is that only an organization or management level has influence in term of interaction with external
organization. From the point of ICT development and systems of innovation relation, the study then suggests that during the
evolving system characterized by spontaneous the level of organization or management is important for the
development of ICT. It further means that the role of top management level is more important than the other
management level. In this circumstance, human resources demand is directed to qualifications on strategic goals. It is in the period of installation and of maturity of Perez’s “surge of development” [1]. This period is uncertain and
complex in nature. The dynamic and progressing-conditions of social, economic, and political factors are what the
organizations or firms are facing. Therefore, the top management level should handle, tackle, and manage the
competing existing and emerging paradigms, and the potentials but fully unexplored innovatory technologies to name
a few. All in all, the top management should do strategic decision-makings to this comparison. Other important considerations to this comparison is that when “as-designed” system building considers the whole
learning types, it can be proposed for further discussion that human resources demand deals with general management
competence, while for the other relationship it deals with social competence. Consequently, further critical question
is whether social competence relates to more strategic decision making and whether managerial competence relates
to more tactical decision making?
4. Conclusion
It is, indeed, clear that the ICT development within the context of systems of innovation is far from fully understood.
It is said so since the characters of the systems of innovation, which is complex, systemic, path-dependent, The Impact of Innovation and Information Communication Technology on Human Resources: A Review
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interrelated, need more research efforts from multidisciplinary approaches and perspectives in order to exploit the
recently explored sub-systems. One of the efforts that this paper tries to explore is to study the relation between ICT development and the systems
of innovation from the perspective of the position of human resources need within the relation context. The result of
this exploration is considered as very immature in the framework of the characters of the system as a whole.
Nevertheless, as Edquist [3] has noted, the systems of innovation study or approach is built by both conceptual and
empirical works.
References
[1] Perez, Carlota. (2005). Technological Revolutions and Financial Capital: the Dynamics of Bubbles and Golden Ages. Cheltenham, UK:
Edward Elgar Publishing Limited. [2] Kotsemir, Maxim Nikolaevich, & Meissner, Dirk. (2013). Conceptualizing the Innovation Process - Trends and Outlook. (12 April 2013).
Retrieved from http://papers.ssrn.com/sol3/papers.cfm?abstract_id=2249782 website: [3] Edquist, Charles (Ed.). (1997). Systems of Innovation: Technologies, Institutions and Organizations. New York: Routledge. [4] Fischer, Manfred M., & Fröhlich, Josef (Eds.). (2001). Knowledge, Complexity and Innovation Systems. Heidelberg: Springer. [5] Llrena, Patrick, & Matt, Mireille (Eds.). (2005). Innovation Policy in a Knowledge-Based Economy: Theory and Practice. Heidelberg:
Springer. [6] Cohendet, Patrick, & Mehyer-Krahmer, Frieder. (2005). Technology Policy in the Knowledge-Based Economy. In P. Llrena & M. Matt
(Eds.), Innovation Policy in a Knowledge-Based Economy. Heidelberg: Springer. [7] Smits, Ruud, & Kuhlmann, Stefan. (2004). The Rise of Systemic Instruments in Innovation Policy. International Journal Foresight and
Innovation Policy, I(1/2), 29. doi: 10.1504/IJFIP.2004.004621 [8] Freeman, Christopher. (2008). Systems of Innovation: Selected Essays in Evolutionary Economics. Cheltenham: Edward Elgar Publishing,
Inc. [9] King, William R. (Ed.). (2009). Knowledge Management and Organizational Learning. New York: Springer. [10] Zander, Udo. (2008). Knowledge and the Speed of the Transfer and Imitation of Organizational Capabilities: an Empirical Test. In B. Kogut
(Ed.), Knowledge, Options, and Institutions. New York, USA: Oxford University Press. [11] Smits, Ruud, & Kuhlmann, Stefan. (2002). Strengthening Interfaces in Innovation Systems: Rationale, Concepts and (new) Instruments.
Paper presented at the STRATA Consolidationg Workshop, Brussels. [12] Llrena, Patrick, & Schenk, Eric. (2005). Technology Policy and A-Synchronic Technologies: The Case of German High-Speed Trains. In P.
Llrena & M. Matt (Eds.), Innovation Policy in a Knowledge-Based Economy. Heidelberg: Springer. [13] Bach, Laurent, & Matt, Mireille. (2005). From Economic Foundations to S&T Policy Tools: a Comparative Analysis of the Dominant
Paradigms. In P. Llrena & M. Matt (Eds.), Innovation Policy in a Knowledge-Based Economy. Heidelberg: Springer. John, Sterman D. (2000). Business Dynamics: System Thinking and Modelling for a Complex World. Boston: McGraw-Hill.