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The Entropy Mechanism of Organization Knowledge Governance Based on Value Chain

Conference paper
Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 242)

Abstract

Based on value chain, this article employs entropy theory into organization knowledge governance, and conducts theoretical study on the evolution of the entropy mechanism of organization knowledge governance system and organization knowledge governance entropy. The study lays a foundation for analyzing organization knowledge governance performance qualitatively and quantificationally.

Keywords

Organization knowledge governance (OKG) Entropymechanism Entropy theory Value chain 

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Notes

Acknowledgements

This study supported by research foundation for youth faculty of Sichuan University (No. Skq201225).

References

  1. 1.
    Jing J (2002) Cardy-verlinde formula and entropy bounds in kerr-newman-ads_{4}/ds_{4} black hole backgrounds. Physical Review D 66:024002Google Scholar
  2. 2.
    Grandori A (2001) Neither hierarchy nor identity: knowledge-governance mechanisms and the theory of the firm. Journal of Management and Governance 5:381–399Google Scholar
  3. 3.
    Henderson RM, Clark KB (1990) Architectural innovation: the reconfiguration of existing product technologies and the failure of established firms. Administrative Science Quarterly 9–30Google Scholar
  4. 4.
    Foss NJ (2007) The emerging knowledge governance approach: Challenges and characteristics. Organization; The Interdisciplinary Journal of Organizationory and Society 14:29Google Scholar
  5. 5.
    Laursen K, Salter A (2006) Open for innovation: The role of openness in explaining innovation performance among uk manufacturing firms. Strategic Management Journal 27:131–150Google Scholar
  6. 6.
    Nonoka I, Takeuchi H (1995) The knowledge creating company: How japanese companies create the dynamics of innovation. Harvard Buisines Review 69:96–104Google Scholar
  7. 7.
    Lev B (2001) Intangibles: Management, measurement, and reporting. Brookings Inst Press, Washington D.C.Google Scholar
  8. 8.
    Lin D (1985) The history of scientific thought. Jiangsu Science and Technology Press, Nanjing (In Chinese)Google Scholar
  9. 9.
    Edvinsson L, Sullivan P (1996) Developing a model for managing intellectual capital. European Management Journal 14:356–364Google Scholar
  10. 10.
    Wang F (1999) The Knowledge governance theory. Shanxi Economic Press, Taiyuan (In Chinese)Google Scholar
  11. 11.
    Yan G et al (2001) Knowledge governance performance evaluation. Nankai BusinessReview 6:37–40 (In Chinese)Google Scholar
  12. 12.
    Hou H (2007) The study on China strategic M & A decision-making theory and application base on entropy. Intellectual Property Publishing House, Beijing (In Chinese)Google Scholar
  13. 13.
    Zhao H, Bian Y, Yang J (2008) Organizational knowledge governance performance evaluation based on knowledge chain. Information Journal 2:25–28 (In Chinese)Google Scholar
  14. 14.
    Xu J (2007) The study on the resource-based urban transformation and industry succession mechanism based on entropy theory. Southwest Jiaotong University of China 21–22 (In Chinese)Google Scholar
  15. 15.
    Jiang L (1993) Entropy is a physical quantity describing complex systematic structure. Academic Journal on System Dialects 4:50–56 (In Chinese)Google Scholar
  16. 16.
    Ren P (2001) The governance theory of dissipative structure and its application in business organization and decision-making role based on the complexity of the entropy of scientific governance. Governance World 6:21–26 (In Chinese)Google Scholar
  17. 17.
    Ren P (1998) On the efficiency of governance in reengineering the organization’s strategic decision-making. Economic System Reform 3:19–21 (In Chinese)Google Scholar
  18. 18.
    Zhu Q, Zhang G (2003) The evaluation model of OKG based on artificial neural network science of science. Science and Technology Governance 8:32–36 (In Chinese)Google Scholar
  19. 19.
    Liu Q, Liang G (2006) The formation and evolution of dissipative structures of organization knowledge system. Scientific Governance 8:72 (In Chinese)Google Scholar
  20. 20.
    The Society Committee on Science and Technology of Chinese Version Sociation (1993) The status quo and development trend of high-technique. Science Press, Beijing (In Chinese)Google Scholar
  21. 21.
    Zhu X (2008) OKG performance evaluation based on LWD operator and the LOWA. Science and Technology and Governance 3:28–31 (In Chinese)Google Scholar
  22. 22.
    Wu Y, Wu HS et al (2007) Knowledge governance performance evaluation study based on principal component analysis. Intelligence Magazine 6:27–29 (In Chinese)Google Scholar
  23. 23.
    Ding Y, Liang C, Lu W (2006) OKG performance evaluation method based on evidence reasoning. Journal of Tsinghua University (Natural Science Edition) 11:83–89 (In Chinese)Google Scholar
  24. 24.
    Wang Y (2003) The knowledge-flow analysis based on dissipative structure theory. Scientific Governance 6:87–89 (In Chinese)Google Scholar
  25. 25.
    Yang Y (2001) The status of OKG. Information Science 14:38–39 (In Chinese)Google Scholar
  26. 26.
    Wang Z (1998) Comprehensive evaluation methods, problems and its research trends. Journal of Governance Sciences 1:4–7 (In Chinese)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2014

Authors and Affiliations

  1. 1.Business SchoolSichuan UniversityChengduPeople’s Republic of China

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