Communications and information processing as a critical success factor in the effective knowledge organisation

A conceptual framework and an architecture for an Effective Knowledge Organisation (EKO) is developed that emphasises the important role of Communications and Information Processing (CIP) in enabling the EKO and in facilitating the creation of a dynamic knowledge capability. The architecture links "core" knowledge management, intellectual property management, individual learning, organisational learning and innovation modules with CIP as the linchpin. The organisation's need to distinguish among these components of an EKO is argued by comparing and contrasting the different conceptual bases, objectives, processes, systems, performance measures and culture of each module. This viewpoint integrates many concepts and applications from various literatures, but it is somewhat contrary to the conventional wisdom which has tended to de-emphasise the significance of communications and information technology in knowledge management. Instead, according to this view, CIP is a critical success factor for the EKO.

[1]  K. Wiig.  Integrating intellectual capital and knowledge management , 1997 .

[2]  Maurizio Zollo,et al.  Deliberate Learning and the Evolution of Dynamic Capabilities , 2002 .

[3]  D. Teece,et al.  DYNAMIC CAPABILITIES AND STRATEGIC MANAGEMENT , 1997 .

[4]  M. Easterby-Smith,et al.  Organizational learning: debates past, present and future , 2000 .

[5]  I. Nonaka.  A Dynamic Theory of Organizational Knowledge Creation , 1994 .

[6]  Michael H. Zack,et al.  Developing a Knowledge Strategy , 1999 .

[7]  Scott McCoy,et al.  The most important issues in knowledge management , 2002, CACM.

[8]  Beth A. Bechky.  Sharing Meaning Across Occupational Communities: The Transformation of Understanding on a Production Floor , 2003, Organ. Sci..

[9]  Jerry Honeycutt,et al.  Knowledge Management Strategies , 2000 .

[10]  E. Hippel.  Sticky Information and the Locus of Problem Solving: Implications for Innovation , 1994 .

[11]  B. Wernerfelt,et al.  A Resource-Based View of the Firm , 1984 .

[12]  William R. King,et al.  Antecedents of Knowledge Transfer from Consultants to Clients in Enterprise System Implementations , 2005, MIS Q..

[13]  L. Argote,et al.  KNOWLEDGE TRANSFER: A BASIS FOR COMPETITIVE ADVANTAGE IN FIRMS , 2000 .

[14]  J. Rockart.  Chief executives define their own data needs. , 1979, Harvard business review.

[15]  W. Powell,et al.  Interorganizational Collaboration and the Locus of Innovation: Networks of Learning in Biotechnology. , 1996 .

[16]  Morten T. Hansen,et al.  What's your strategy for managing knowledge? , 1999, Harvard business review.

[17]  David Lei,et al.  Management practices in learning organizations , 1992 .

[18]  P. Senge.  The leader's new work: Building learning organizations. , 1998 .

[19]  Jennifer Preece,et al.  Toward Virtual Community Knowledge Evolution , 2002, J. Manag. Inf. Syst..

[20]  Harold J. Leavitt,et al.  The Old Days, Hot Groups, and Managers' Lib. , 1996 .

[21]  L. Edvinsson.  Developing intellectual capital at Skandia , 1997 .

[22]  R. Grant.  Toward a Knowledge-Based Theory of the Firm,” Strategic Management Journal (17), pp. , 1996 .

[23]  Michael J. Earl,et al.  Knowledge Management Strategies: Toward a Taxonomy , 2001, J. Manag. Inf. Syst..

[24]  P. Paulus,et al.  Idea Generation in Groups : A Basis for Creativity in Organizations , 1994 .

[25]  Heeseok Lee,et al.  Knowledge Management Enablers, Processes, and Organizational Performance: An Integrative View and Empirical Examination , 2003, J. Manag. Inf. Syst..

[26]  Daniel Andriessen,et al.  Making Sense of Intellectual Capital , 2004 .

[27]  Brian K. Thorn,et al.  Discretionary Data Bases , 1987 .

[28]  William Nick Street,et al.  An intelligent system for customer targeting: a data mining approach , 2004, Decis. Support Syst..

[29]  Kathleen M. Eisenhardt,et al.  DYNAMIC CAPABILITIES, WHAT ARE THEY? , 2000 .

[30]  Atreyi Kankanhalli,et al.  The role of IT in successful knowledge management initiatives , 2003, CACM.

[31]  G. Huber.  Organizational Learning: The Contributing Processes and the Literatures , 1991 .

[32]  B. Kogut,et al.  Knowledge of the Firm, Combinative Capabilities, and the Replication of Technology , 1992 .

[33]  Steven M. Shaker,et al.  The WarRoom Guide to Competitive Intelligence , 1998 .

[34]  Michael H. Zack,et al.  Managing Codified Knowledge , 1999 .

[35]  Paul S. Goodman,et al.  Computer-Aided Systems and Communities: Mechanisms for Organizational Learning in Distributed Environments , 1998, MIS Q..

[36]  K. R. Conner,et al.  A Resource-Based Theory of the Firm: Knowledge Versus Opportunism , 1996 .

[37]  William R. King,et al.  Integrating Knowledge Management Into is Strategy , 1999, Inf. Syst. Manag..

[38]  Gilbert Probst,et al.  Organizational learning : the competitive advantage of the future , 1997 .

[39]  J. Spender.  Organizational knowledge, learning and memory: three concepts in search of a theory , 1996 .

[40]  M. Lynne Markus,et al.  Toward A Theory of Knowledge Reuse : Types of Knowledge Reuse Situations and Factors in Reuse Success , 2022 .

[41]  Cliff Figallo,et al.  Building the Knowledge Management Network: Best Practices, Tools, and Techniques for Putting Conversation to Work , 2002 .

[42]  Dorothy E. Leidner,et al.  Review: Knowledge Management and Knowledge Management Systems: Conceptual Foundations and Research Issues , 2001, MIS Q..

[43]  Ali E. Akgün,et al.  Organizational Learning: A Socio-Cognitive Framework , 2003 .

[44]  Carla O'Dell,et al.  If Only We Knew What We Know: Identification and Transfer of Internal Best Practices , 1998 .

[45]  M. Polanyi.  Chapter 7 – The Tacit Dimension , 1997 .