Title: A novel hybrid evaluation approach of knowledge management performance for R&D division
Authors: Mu-Jung Huang; Mu-Yen Chen; Tai-Chun Lee
Department of Information Management, National Changhua University of Education, #2, Shi-Da Road, Changhua 50058, Taiwan.
Department of Information Management, National Taichung Institute of Technology, 129 Sec. 3, San-Min Road, Taichung 40444, Taiwan.
Department of Information Management, National Changhua University of Education, #2, Shi-Da Road, Changhua 50058, Taiwan
Abstract: After a series of strategies in knowledge management was executed, there must be a metric mechanism which is used to understand the results of knowledge management efficiency and effect. The role of R&D division is to benefit the corporate growth, the long-term innovation and the future competitive advantage. Thus, if R&D division in enterprise would be able to incorporate with knowledge management, it can reduce the variables of uncertainties within new product and obtain the higher probabilities for success. In this research, we integrated data envelope analysis (DEA) and analytic hierarchy process (AHP) approaches to measure knowledge management performance for R&D division and to conduct efficiency analysis of the quality and enterprise performance. We proposed the process of knowledge management and new product development achieving the goal of enterprises. Therefore, the R&D division in enterprises could make the improvement strategy activity.
Keywords: new product development; NPD; knowledge management performance; data envelope analysis; DEA; analytical hierarchy process; AHP; R&D; research and development.
Int. J. of Information Technology and Management, 2012 Vol.11, No.3, pp.201 - 224
Available online: 13 Jul 2012