Assessing the contribution of knowledge to business performance: the KP3 methodology
Decision Support Systems - Special issue: Knowledge management technique
KMPI: measuring knowledge management performance
Information and Management
Integrating option model and knowledge management performance measures: an empirical study
Journal of Information Science
Knowledge management performance evaluation: a decade review from 1995 to 2004
Journal of Information Science
Knowledge management system performance measure index
Expert Systems with Applications: An International Journal
Journal of Information Science
Detecting information technology impact on firm performance using DEA and decision tree
International Journal of Information Technology and Management
Adaptation as a premise for perceptual-based multimedia communications
International Journal of Information Technology and Management
Contributing and enabling technologies for knowledge management
International Journal of Information Technology and Management
Information technology support for knowledge management in the chemical process industry
International Journal of Information Technology and Management
Testing a decision-theoretic approach to the evaluation of information retrieval systems
Journal of Information Science
Evaluation of factors influencing knowledge sharing based on a fuzzy AHP approach
Journal of Information Science
Information asymmetry and product valuation: an exploratory study
Journal of Information Science
Optimization of explicit symplectic schemes for time-dependent schrödinger equations
Computers & Mathematics with Applications
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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.