The enterprise knowledge dictionary

One of the difficulties in knowledge management is that knowledge sources are widely distributed and exist in many forms. Earl's taxonomy (2001) of knowledge management systems, particularly, the Technocratic school – Systems, Cartographic, and Engineering, is described to provide a context for discussing the different types of knowledge management systems. To support these different types of knowledge sources, we describe an Enterprise Knowledge Dictionary (EKD) and the supporting n-tier architecture that allows access too many types of knowledge though a common interface. The EKD provides a knowledge portal that allows the knowledge seeker to locate and access the various types of knowledge for a domain of interest from a single source. In addition to facilitating knowledge reuse, the EKD is used for evaluation and planning of knowledge management activities within the firm. An n-tier architecture that both optimizes knowledge management implementations and minimizes the load on transaction processing systems is outlined.

[1]  Mary Bradley,et al.  Working Knowledge: How Organizations Manage What They Know , 2000 .

[2]  M. Handzic,et al.  Corporate Memories: Tombs or Wellsprings of Knowledge? , 2004 .

[3]  J. Roos,et al.  Measuring your company's intellectual performance , 1997 .

[4]  Daniel A. Levinthal,et al.  ABSORPTIVE CAPACITY: A NEW PERSPECTIVE ON LEARNING AND INNOVATION , 1990 .

[5]  Camille Rosenthal-Sabroux,et al.  An architecture for knowledge evolution in organisations , 1998, Eur. J. Oper. Res..

[6]  Daniel L. Sherrell,et al.  Communications of the Association for Information Systems , 1999 .

[7]  Albert H. Segars,et al.  Knowledge Management: An Organizational Capabilities Perspective , 2001, J. Manag. Inf. Syst..

[8]  Ronald Dattero,et al.  Knowledge Management Systems: An Architecture for Active and Passive Knowledge , 2002, Inf. Resour. Manag. J..

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

[10]  Ronald Dattero,et al.  A Verification-Based Conflict Resolution Strategy for Knowledge Management Systems , 2003, J. Comput. Inf. Syst..

[11]  Mark N. Wexler,et al.  The who, what and why of knowledge mapping , 2001, J. Knowl. Manag..

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

[13]  Dan Harkey,et al.  Client/server survival guide (3rd ed.) , 1999 .

[14]  Dorothy E. Leidner,et al.  Knowledge Management Systems: Issues, Challenges, and Benefits , 1999, Commun. Assoc. Inf. Syst..

[15]  Maria Mårtensson,et al.  A critical review of knowledge management as a management tool , 2000, J. Knowl. Manag..

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

[17]  S. Zahra,et al.  Absorptive Capacity: A Review, Reconceptualization, and Extension , 2002 .

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

[19]  Brent Stuart Goodwin,et al.  Data Smog: Surviving the Information Glut , 1999 .

[20]  Virginia E. Barker,et al.  Expert systems for configuration at Digital: XCON and beyond , 1989, Commun. ACM.

[21]  R. McAdam,et al.  Creating the Knowledge-Based Business , 1998 .

[22]  A. Brooking Corporate Memory: Strategies For Knowledge Management , 1998 .

[23]  John R. Carlson,et al.  Channel Expansion Theory and the Experiential Nature of Media Richness Perceptions , 1999 .