Applied Artificial Intelligence and the Management of Knowledge

  • Colquhoun-John Ferguson
  • Scott Goldie

Conclusion

Previously we suggested that knowledge can only be gleaned from data/information if it is presented in a meaningful way to its users (Ferguson, 1997). The approach described here builds on this previous research which agrees with Galliers’ (1995) statement that the important question in information systems strategy is determination of the key information requirements to meet individual needs.This paper discusses the information needs of product design teams and focuses on customer feedback, standard parts and form features from existing product as being essential to their function. We propose that a hybrid approach using the techniques of data mining and case-basedreasoning may provide an increased problem solving ability for product designers. Both data mining and CBR are used to solve a problem — not purely answer a query, and it is further proposed that enabling designers the ability to solve problems from disparate corporate data sources is a major step in the implementation of effective knowledge management within the organisation.

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Argyris, C., Schön, D.A., 1978, Organizational Learning: A Theory of Action Perspective, Addison-Wesley, Reading, MAGoogle Scholar
  2. Barney, J.B., 1991, Firm resources and sustained competitive advantage, Journal of Management, 17, 99–120Google Scholar
  3. Brown, J.S., Duguid, P., 1991, Organizational learning and communities of practice: Toward a unified view of working, learning and innovation, Organization Science, 2/1, 40–57Google Scholar
  4. Dhar, V. & Stein, R., 1997, Intelligent Decision Support Methods. The science of knowledge work. Prentice Hall, Upper Saddle River, NJGoogle Scholar
  5. Dodgson, M., 1993, Organizational learning: A review of some literatures, Organization Studies, 14/3: 375–394Google Scholar
  6. Dosi, G., 1988, The nature of the innovative process in Technical Change and Economic Theory, (G. Dosi, ed), Pinter, London: pp.221–238Google Scholar
  7. Drucker, P.F., 1994, The theory of the business, Harvard Business Review, Sept–Oct. 1994Google Scholar
  8. Fayyad, U.M., 1996, Data mining and knowledge discovery: Making sense out of data, IEEE Expert Systems, Oct. 96: 20–25Google Scholar
  9. Fayyad, U.M., Uthurusamy, R., 1995, First International Conference on Knowledge Discovery and Data Mining, AAAI Press, 1995Google Scholar
  10. Ferguson, C-J. & Lees, B., 1998, An application of data mining for product design, Colloquium on Data Mining and Knowledge Discovery, IEE, London, May 1998Google Scholar
  11. Ferguson, C-J., 1997, Application of a data mining system as an aid to organisational learning, in Systems for sustainability: people organizationsand environments, (F.A. Stowell ed.) Plenum Press, New York: pp211–215Google Scholar
  12. Galliers, B., 1995, Re-orienting information systems strategy: Integrating information systems into business in Information Systems Provision: The Contribution of Soft Systems Methodology (F.A. Stowell, ed), McGraw-Hill, London: pp.51–74Google Scholar
  13. Huber, G.P., 1991, Organizational learning: The contributing processes and the literatures, Organization Science, 2/1: 88–115Google Scholar
  14. Katzenbach, J., Smith, D., 1993, The Wisdom of Teams: Creating the High Performance Organization, Harvard Business School Press, Boston, Mass.Google Scholar
  15. Kay, J., 1995, Foundations of corporate success, Oxford University PressGoogle Scholar
  16. Metes, G., Gundry, J. & Bradish, P., 1997, Agile networking: competing for the future through the internet and intranets, Prentice Hall PTR, Upper Saddle River, NJGoogle Scholar
  17. Nevis, E.C., DiBella, A.J. and Gould, J.M., 1995, Understanding organizations as learning systems, Sloan Management Review, Winter 1995: 73–85Google Scholar
  18. Nonaka, I., 1991, The knowledge creating company, Harvard Business Review, 69(6): 96–104Google Scholar
  19. Parsayae, K., 1997, The bridge between OLAP and data mining, 2nd Annual Data Mining Summit, Feb. 19, San FranciscoGoogle Scholar
  20. Penrose, E.T., 1959, The theory of the growth of firms, M.E. Sharpe Porter, M., 1985, Competitive advantage, Free PressGoogle Scholar
  21. Prahalad, C.K., Hamel, G., 1994, Competing for the Future, Harvard Business School Press, MAGoogle Scholar
  22. Richter, F-J., 1994, Industrial organizations as knowledge systems, Systems Practice, 7(2): 205–216CrossRefGoogle Scholar
  23. Selznik, P., 1957, Leadership in administration: a sociological interpretation, Harper RowGoogle Scholar
  24. Senge, P.M., 1992, The Fifth Discipline: The Art & Practice of The Learning Organization, Century Business, LondonGoogle Scholar
  25. Shonk, J.H., 1992, Team Based Organisations, Business One Irwin Homewood, IllinoisGoogle Scholar
  26. Watson, I., 1997, Apply ing case-based reasoning: techniques for enterprise systems, Morgan KaufmanGoogle Scholar
  27. Weston, D.M., 1994, Organizational Learning as Strategy, SRI International, Menlo Park, CAGoogle Scholar

Copyright information

© Kluwer Academic Publishers 2002

Authors and Affiliations

  • Colquhoun-John Ferguson
    • 1
  • Scott Goldie
    • 1
  1. 1.Department of Management & MarketingUniversity of PaisleyPaisleyUK

Personalised recommendations