The role of AI-based technology in support of the knowledge management value activity cycle

Abstract The paper evaluates the phenomenon of knowledge management (KM) and its relationship to the artificial intelligence (AI) technologies of knowledge-based systems, case-based reasoning and neural networks. A knowledge value-chain (KVC) concept is established and developed into a closed loop knowledge activity cycle. This is then linked to Nonaka's knowledge spiral and related concepts. Using this framework, applied within the context of the core business processes underpinning a contemporary ‘knowledge company’ that is operating at the forefront of computer networking technology, the potential application of AI is investigated. The study thereby illustrates both the potential and the limitations of AI technologies in terms of their capability to support the KM process.

[1]  Stuart H. Rubin,et al.  Case-based learning: A new paradigm for automated knowledge acquisition , 1992 .

[2]  Ramesh Sharda,et al.  Neural Networks for the MS/OR Analyst: An Application Bibliography , 1994 .

[3]  N. Shadbolt,et al.  Eliciting Knowledge from Experts: A Methodological Analysis , 1995 .

[4]  Philip D. Wasserman,et al.  Neural computing - theory and practice , 1989 .

[5]  Bo K. Wong,et al.  Expert system applications in business: A review and analysis of the literature (1977-1993) , 1995, Inf. Manag..

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

[7]  Sue Newell,et al.  Knowledge management and innovation: networks and networking , 1999, J. Knowl. Manag..

[8]  C. Prahalad,et al.  The Core Competence of the Corporation , 1990 .

[9]  Robert J. McQueen,et al.  Learning and process improvement in knowledge organizations: a critical analysis of four contemporary myths , 1996 .

[10]  Efraim Turban,et al.  Expert systems and applied artificial intelligence , 1992 .

[11]  Padraig Cunningham,et al.  Knowledge engineering issues in developing a case-based reasoning application , 1999, Knowl. Based Syst..

[12]  Guy A. Boy.  Intelligent Assistant Systems , 1991 .

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

[14]  Liam Fahey,et al.  The Eleven Deadliest Sins of Knowledge Management , 1998 .

[15]  Bernadette Bouchon-Meunier,et al.  Fuzzy Logic, Inductive and Analogical Reasoning , 1993, Fuzzy Logic in Artificial Intelligence.

[16]  Anand S. Kunnathur,et al.  Expert systems adoption. An analytical study of managerial issues and concerns , 1996, Inf. Manag..

[17]  M. Hammer,et al.  Reengineering the Corporation , 1993 .

[18]  P. Drucker.  Post-Capitalist Society , 1993 .

[19]  Bradley P. Allen,et al.  Case-based reasoning: business applications , 1994, CACM.

[20]  Werner Kuhn.  An Algebraic Interpretation of Semantic Networks , 1999, COSIT.

[21]  I. Nonaka,et al.  The Concept of “Ba”: Building a Foundation for Knowledge Creation , 1998 .

[22]  I. Nonaka,et al.  The Knowledge Creating Company , 2008 .

[23]  R. M. Hall,et al.  A framework linking intangible resources and capabilities to sustainable competitive advantage , 1993 .

[24]  Efraim Turban,et al.  Decision support systems and intelligent systems , 1997 .

[25]  Frederick P. Brooks,et al.  The computer scientist as toolsmith II , 1996, CACM.

[26]  Hubert L. Dreyfus,et al.  What computers still can't do - a critique of artificial reason , 1992 .

[27]  L. Zadeh,et al.  An Introduction to Fuzzy Logic Applications in Intelligent Systems , 1992 .

[28]  Philip E. T. Lewis,et al.  Research Methods for Business Students , 2006 .

[29]  D. A. Klein.  The Strategic Management of Intellectual Capital , 1998 .

[30]  M. K. Raja,et al.  Roles of Knowledge Engineers and Their Relationship to Systems Analysts , 1998 .

[31]  Dieter Fensel,et al.  Knowledge Engineering: Principles and Methods , 1998, Data Knowl. Eng..

[32]  Barbara Wasson,et al.  An overview of on-line assistance: from on-line documentation to intelligent help and training , 1992, The Knowledge Engineering Review.

[33]  Gerd Wagner.  Foundations of Knowledge Systems: with Applications to Databases and Agents , 1998 .

[34]  Nigel Shadbolt,et al.  From Knowledge Engineering to Knowledge Management , 1999 .

[35]  Thomas H. Davenport,et al.  Ten principles of knowledge management and four case studies , 1997 .

[36]  Scott B. Huffman,et al.  Beyond full-text search: AI-based technology to support the knowledge cycle , 1997 .

[37]  Brian R. Gaines,et al.  Embedding formal knowledge models in active documents , 1999, CACM.

[38]  L. Edvinsson,et al.  Developing a model for managing intellectual capital , 1996 .

[39]  A. Strauss,et al.  The discovery of grounded theory: strategies for qualitative research aldine de gruyter , 1968 .

[40]  Kim Merchant,et al.  Expert systems: A survey of their use in UK business , 1996, Inf. Manag..

[41]  Frederick Gallegos,et al.  Data Warehousing: A Strategic Approach , 1999 .

[42]  D. Sullivan.  Crawling under the hood : An update on search engine technology : Search Engine Section , 1999 .

[43]  Bohdan O. Szuprowicz.  Search Engine Technologies for the World Wide Web and Intranets , 1997 .

[44]  Thomas H. Davenport,et al.  Managing Information about Processes , 1995, J. Manag. Inf. Syst..

[45]  Nikola Kasabov,et al.  Foundations Of Neural Networks, Fuzzy Systems, And Knowledge Engineering [Books in Brief] , 1996, IEEE Transactions on Neural Networks.

[46]  M. Polanyi,et al.  Personal Knowledge: Towards a post-critical philosophy , 1959 .

[47]  Kathryn Rudie Harrigan,et al.  Knowledge workers: The last bastion of competitive advantage , 1991 .

[48]  Jack Armstrong,et al.  Knowledge-based systems for users. Enhancing the productivity of help desks , 1992 .

[49]  John P.T. Mo,et al.  An integrated process model driven knowledge based system for remote customer support , 1998 .

[50]  Robert M. Grant,et al.  The knowledge-based view of the firm: Implications for management practice , 1997 .

[51]  Franz Lehner,et al.  Expert systems for organizational and managerial tasks , 1992, Inf. Manag..

[52]  R. Hall.  The strategic analysis of intangible resources , 1992 .

[53]  Jürgen Herrmann,et al.  The role of explanations in an intelligent assistant system , 1998, Artif. Intell. Eng..

[54]  Max Boisot,et al.  Is your firm a creative destroyer? Competitive learning and knowledge flows in the technological strategies of firms , 1995 .

[55]  Stephen J. Andriole,et al.  Expert Systems and Micros , 1986, IEEE Expert.

[56]  I. Nonaka,et al.  How Japanese Companies Create the Dynamics of Innovation , 1995 .

[57]  Guus Schreiber,et al.  Methods and techniques for knowledge management: What has knowledge engineering to offer? , 1997 .

[58]  Frank van Harmelen,et al.  Editorial: Evaluating knowledge engineering techniques , 1999, Int. J. Hum. Comput. Stud..

[59]  Paul H. J. Hendriks,et al.  Knowledge-based systems and knowledge management: Friends or foes? , 1999, Inf. Manag..

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

[61]  Thomas H. Davenport,et al.  Book review:Working knowledge: How organizations manage what they know. Thomas H. Davenport and Laurence Prusak. Harvard Business School Press, 1998. $29.95US. ISBN 0‐87584‐655‐6 , 1998 .