Email this article Enterprise Knowledge Management Application Evaluation Based on Cloud Gravity Center Model and Fuzzy Extended AHP
Abstract
Enterprise knowledge management has important influence on an enterprise core competency, and enterprise knowledge management application evaluation plays an important role for the enterprise economic benefits, innovation ability and culture. The evaluation of the enterprise knowledge management application can guide the enterprise knowledge management implement better. In this paper, an enterprise knowledge management application evaluation index system is constructed and fuzzy extended analytic hierarchy process and cloud gravity center model are employed to evaluate the enterprise knowledge management application problem because it has the advantages of simple, less time taking and dealing with qualitative and quantitative indicators simultaneously. An implementation of the proposed model is used for a certain enterprise knowledge management application evaluation, and the results shows the proposed model is feasibility and effective for the evaluation.
Keywords
References
[1] Pillania. Demystifying knowledge management [J]. Business Strategy Series,2009,(10)
[2] Mingers,J. Management knowledge and knowledge management:realism and forms of truth[J]. Knowledge Management Research & Practice,2008,(6)
[3] Tiwana, A., The Essential Guide To Knowledge Management: E-Business and Crm Applications. Atlanta :Prentice-Hall,2001.
[4] Andersen, A., The Knowledge Management Assessment Tool (KMAT).London: Arthur Andersen Kmat Study,1996.
[5] Davenport, T. H.,&Lawrence P., Working Knowledge: How Organizations Manage What They Know, Harvard Business School Press, 1997.
[6] Dekker, R.,&De Hoog, R., The Monetary Value of Knowledge Assets: A Micro Approach. Expert Systems with Applications, 2000,3(18):111-124.
doi:10.1016/S0957-4174(99)00057-3
[7] Kaplan, R. S.,&Norton, D. F., The Balanced Scorecard Measures That Drive Performance. Harvard Business Review, 1992, 70 (1):71-80.
PMid:10119714
[8] Edvinsson L,&Sullivan P., Developing A Model For Managing Intellectual Capital, European Management Journal, 1996, 14 (4): 356-364.
doi:10.1016/0263-2373(96)00022-9
[9] Choi B.&Lee H., Knowledge Management Strategy and Its Link To Knowledge Creation Process, Expert Systems With Applications. 2002, 1(23): 173-187.
doi:10.1016/S0957-4174(02)00038-6
[10] LIAO Liang-cai; FAN Lin-jun; WANG Peng, Method of Evaluating Organizational Performance Based on Cloud Theory, Systems Engineering,2010,29(7):56-58.
[11] Saaty,T.L. The analytic hierarchy process, 1980. New York: McGraw-Hill Book Co
[12] Saaty,T.L. Fundamentals of decision making and priority theory with the AHP, 1994. Pittsburgh: RWS Publications
[13] Chang, D.Y, Extent analysis and synthetic decision, optimization techniques and applications. Singapore: World Scientific,1992
[14] Chang, D.Y, Applications of the extent analysis method on fuzzy AHP, European Journal of Operational Research, 1996, 95, 649-655.
doi:10.1016/0377-2217(95)00300-2
[15] Victor B. Kreng, Chao-Yi Wu, Evaluation of knowledge portal development tools using a fuzzy AHP approach: The case of Taiwanese stone industry, European Journal of Operational Research,(2007), 176 1795-1810.
doi:10.1016/j.ejor.2005.10.052
[16] Ching-Hsue C, Evaluating naval tactical missile systems by fuzzy AHP based on the grade value of membership function European Journal of Operational Research 1997;96(2):343-350.
doi:10.1016/S0377-2217(96)00026-4
[17] Weck M, Klocke F, Schell H, Ruenauver E, Evaluating alternative production cycles using the extended fuzzy AHP method, European Journal of Operational Research, 1997;100(2):351-366.
doi:10.1016/S0377-2217(96)00295-0
[18] Cheng CH, Yang KL, Hwang CL, Evaluating attack helicopters by AHP based on linguistic variable weight, European Journal of Operational Research, 1999;116(2):423-443.
doi:10.1016/S0377-2217(98)00156-8
[19] F.Tunc Bozbura, Ahmet Beskese, Cengiz Kahraman. Prioritization of human capital measurement indicators using fuzzy AHP; Expert Systems with Applications, 2007:32:1100-1112.
doi:10.1016/j.eswa.2006.02.006
Full Text: PDF