A novel hybrid evaluation approach of knowledge management performance for R&D division

Mu-Jung Huang, Mu Yen Chen, Tai Chun Lee

Research output: Contribution to journalArticle

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.

Original languageEnglish
Pages (from-to)201-224
Number of pages24
JournalInternational Journal of Information Technology and Management
Volume11
Issue number3
DOIs
Publication statusPublished - 2012 Jul 1

All Science Journal Classification (ASJC) codes

  • Software
  • Hardware and Architecture
  • Computer Science Applications
  • Computer Networks and Communications

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