题名

公司績效與知識管理風格之間的重要特徵

并列篇名

Critical Features between Corporate Performances and KM Styles

DOI

10.29705/EAR.200803.0003

作者

吳偉文(Wei-Wen Wu)

关键词

公司績效 ; 知識管理風格 ; 約略集理論 ; Corporate performance ; Knowledge management style ; Rough sets theory

期刊名称

東亞論壇

卷期/出版年月

459期(2008 / 03 / 01)

页次

23 - 37

内容语文

繁體中文

中文摘要

關於公司績效與知識管理風格之間的關聯性,有些文獻運用傳統的統計方法而據其研究結果宣稱特定的知識管理風格可以產生較優的公司績效。但是,本研究認爲能夠產生較優的公司績效之成果,其決定因素不應只是知識管理的投入與努力。因此,本文的旨趣在於應用約略集理論,從而探測知識管理與公司績效之間的重要特徵。研究結果顯示,績效較優的公司傾向於兼顧與並重外顯知識和內隱知識,並且認爲誘因和績效評量皆是成功執行知識管理之必要因素。

英文摘要

Several works have studied the relationships between corporate performances and knowledge management (KM), using traditional statistical methods, and they declare that a specific KM style may result in better corporate performance. However, the outcome of having better corporate performance is not merely dependant on the effort invested in KM. This paper aims to explore the critical patterns between KM and corporate performances by using the rough set approach. The results show that higher performance companies stress the importance on both tacit and explicit knowledge, and consider that incentives and evaluations are the essentials to implementing KM.

主题分类 社會科學 > 社會科學綜合
社會科學 > 社會學
参考文献
  1. Benbya, H.,Passiante, G.,Belbaly, N.A.(2004).Corporate portal: a tool for knowledge management synchronization.International Journal of Information Management,24(3),201-220.
  2. Beynon, M.J.,Peel, M.J.(2001).Variable precision rough set theory and data discretisation: an application to corporate failure prediction.Omega, International Journal of Management Science,29(6),561-576.
  3. Bierly, P.,Chakrabarti, A.(1996).Generic knowledge strategies in the US pharmaceutical industry.Strategic Management Journal,17(4),123-135.
  4. Campos, E.B.,Sanchez, M.P.S.(2003).Knowledge management in the emerging strategic business process: Information, complexity and imagination.Journal of Knowledge Management,7(2),5-13.
  5. Choi, B.,Lee, H.(2003).An empirical investigation of KM styles and their effect on corporate performance.Information & Management,40(5),403-417.
  6. Curry, B.(2003).Rough sets: current and future developments.The International Journal of Knowledge Engineering and Neural Networks,20(5),247-250.
  7. Desouza, K.C.(2003).Strategic contributions of game rooms to knowledge management: some prelimenary insights.Information & Management,41(1),63-74.
  8. Dimitras, A.I.,Slowinski, R.,Susmaga, R.,Zopounidis, C.(1999).Business failure prediction using rough sets.European Journal of Operational Research,114(2),263-280.
  9. Doumpos, M.,Zopounidis, C.(2002).Rough Sets and Multivariate Statistical Classification: A Simulation Study.Computational Economics,19(3),287-301.
  10. Drucker, P.F.(1993).Post-Capitalist Society.New York:HarperBusiness.
  11. Evans, J.R.(2004).An exploratory study of performance measurement systems and relationships with performance results.Journal of Operations Management,22(3),219-232.
  12. Fedrizzi, M.(Ed.),Kacprzyk, J.(Ed.),Yager, R.R.(Ed.)(1993).Advances in the Dempster-Shafer Theory of Evidence.New York:John Wiley & Sons.
  13. Goh, C.,Law, R.(2003).Incorporating the rough sets theory into travel demand analysis.Tourism Management,24(5),511-517.
  14. Grant, R.M.(1991).The resource-based theory of competitive advantage: implications for strategy formulation.California Management Review,30(3),114-35.
  15. Greco, S.,Matarazzo, B.,Slowinski, R.(2002).Rough sets methodology for sorting problems in presence of multiple attributes and criteria.European Journal of Operational Research,138(2),247-259.
  16. Hansen, M.T.,Nohria, N.,Tierney, T.(1999).What's your strategy for managing knowledge?.Harvard Business Review,77(2),106-126.
  17. Johannessen, J.A.,Olaisen, J.,Olsen, B.(2001).Mismanagement of tacit knowledge: the importance of tacit knowledge, the danger of information technology, and what to do about it.International Journal of Information Management,21(1),3-20.
  18. Johannessen, J.A.,Olsen, B.(2003).Knowledge management and sustainable competitive advantages: The impact of dynamic contextual training.International Journal of Information Management,23(4),277-289.
  19. Jordan, J.,Jones, P.(1997).Assessing your company's knowledge management style.Long Range Planning,30(3),392-398.
  20. Kamara, J.M.,Anumba, C.J.,Carrillo, P.M.(2002).A CLEVER approach to selecting a knowledge management strategy.International Journal of Project Management,20(3),205-211.
  21. Krusinska, E.,Slowinski, R.,Stefanowski, J.(1992).Discriminat versus rough set approach to vague data analysis.Applied Stochastic Models and Data Analysis,8(1),43-56.
  22. Lee, K.C.,Lee, S.,Kang, I.W.(2005).KMPI: measuring knowledge management performance.Information & Management,42(3),469-482.
  23. Liao, S.H.(2003).Knowledge management technologies and applications-literature review from 1995 to 2002.Expert Systems with Applications,25(2),155-164.
  24. Liao, S.H.(2002).Problem solving and knowledge inertia.Expert Systems with Applications,22(1),21-31.
  25. Lin, T. Y.(Ed.),Cercone, N.(Ed.)(1997).Rough Sets and Data Mining: Analysis for Imprecise Data.Norwell, MA:Kluwer Academic Publishers.
  26. Maier, R.,Remus, U.(2003).Implementing process-oriented knowledge management strategies.Journal of Knowledge Management,7(4),62-74.
  27. Manville, B.,Ober, J.(2003).Beyond Empowerment: Building a Company of Citizens.Harvard Business Review,68(4),79-93.
  28. Martensson, M.(2000).A critical review of knowledge management as a management tool.Journal of Knowledge Management,4(3),204-216.
  29. Massey, A.P.,Montoya-Weiss, M.M.,Holcom, K.(2001).Re-engineering the customer relationship: leveraging knowledge assets at IBM.Decision Support Systems,32(2),155-170.
  30. Mi, J.S.,Wu, W.Z.,Zhang, W.X.(2004).Approaches to knowledge reduction based on variable precision rough set model.Information Sciences,159(3-4),255-272.
  31. Mori, N.,Tanaka, H.,Inoue, K.(2004).Rough sets and KANSEI: knowledge acquisition and reasoning from KANSEI data.Japan, Tokyo:Kaibundo.
  32. Nonaka, I.(1994).A Dynamic Theory of Organizational Knowledge Creation.Organization Science,5(1),14-37.
  33. Nonaka, I.,Konno, N.(1998).The concept of "ba": Building a foundation for knowledge creation.California Management Review,40(3),40-54.
  34. Nonaka, I.,Toyama, R.,Konno, N.(2000).SECI, Ba and Leadership: a Unified Model of Dynamic Knowledge Creation.Long Range Planning,33(1),5-34.
  35. Pawlak, Z.(1982).Rough sets.International Journal of Computer and Information Science,11(5),341-356.
  36. Pawlak, Z.(2002).Rough sets, decision algorithms and Bayes' theorem.European Journal of Operational Research,136(1),181-189.
  37. Pawlak, Z.(1984).Rough Classification.International Journal of Man-Machine Studies,20(5),469-483.
  38. Roos, R.,Roos, J.(1997).Measuring your company's intellectual performance.Longe Range Planning,30(3),413-26.
  39. Rubenstein-Montano, B.,Liebowitz, J.,Buchwalter, J.,McCaw, D.,Newman, B.,Rebeck, K.(2001).A systems thinking framework for knowledge management.Decision Support Systems,31(1),5-16.
  40. Slowinski, R.(Ed)(1992).Intelligent Decision Support: Handbook of Applications and Advances of the Rough Sets Theory.Dordrecht:Kluwer Academic Publishers.
  41. Slowinski, R.,Zopounidis, C.(1995).Application of the rough set approach to evaluation of bankruptcy risk.International Journal of Intelligent Systems in Accounting, Finance and Management,4(1),27-41.
  42. Tay, F.E.H.,Shen, L.(2002).Economic and financial prediction using rough sets model.European Journal of Operational Research,141(3),641-659.
  43. Teece, D.J.(2000).Strategies for Managing Knowledge Assets: the Role of Firm Structure and Industrial Context.Long Range Planning,33(1),35-54.
  44. Thurow, L.C.(1996).The Future of Capitalism: How Today's Economic Forces Shape Tomorrow's World.New York:William Morrow & Co.
  45. Walczak, B.,Massart, D.(1999).Rough sets theory.Chemometrics and Intelligent Laboratory Systems,47(1),1-16.
  46. Wang, Y.F.(2003).Mining stock price using fuzzy rough set system.Expert Systems with Applications,24(1),13-23.
  47. Watson, R.(1999).Data management: Databases and organizations.New York:JohnWiley.
  48. Wiig, K.M.,Hoog, R.D.,Spek, R.V.D.(1997).Supporting Knowledge Management: A Selection of Methods and Techniques.Expert Systems with Applications,13(1),15-27.
  49. Wilkins, J.,Van Wegen, B.,De Hoog, R.(1997).Understanding and Valuing Knowledge Assets: Overview and Method.Expert Systems with Application,13(1),55-72.
  50. Wu, W.W.,Lee, Y.T.,Tzeng, G.H.(2005).Simplifying the manager competency model by using the rough set approach.Proceedings of The Tenth International Conference on Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing (RSFDGrC2005),Regina, Canada:
  51. Zack, M.H.(1999).Developing a knowledge strategy.California Management Review,41(3),125-145.