Data envelopment analysis for efficiency measurement in the stochastic case
Computers and Operations Research
Fuzzy efficiency measures in data envelopment analysis
Fuzzy Sets and Systems
Intellectual Capital: Navigating in the New Business Landscape
Intellectual Capital: Navigating in the New Business Landscape
Knowledge Unplugged: The McKinsey and Company Global Survey on Knowledge Management
Knowledge Unplugged: The McKinsey and Company Global Survey on Knowledge Management
Working Knowledge: How Organizations Manage What They Know
Working Knowledge: How Organizations Manage What They Know
Measuring Knowledge Management Effectiveness in Communities of Practice
HICSS '04 Proceedings of the Proceedings of the 37th Annual Hawaii International Conference on System Sciences (HICSS'04) - Track 8 - Volume 8
A Review of Metrics for Knowledge Management Systems and Knowledge Management Initiatives
HICSS '04 Proceedings of the Proceedings of the 37th Annual Hawaii International Conference on System Sciences (HICSS'04) - Track 8 - Volume 8
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
Journal of the American Society for Information Science and Technology
A model to assess the benefit value of knowledge management in an IT service provider environment
Proceedings of the 2007 annual research conference of the South African institute of computer scientists and information technologists on IT research in developing countries
An effectiveness measurement model for knowledge management
Knowledge-Based Systems
Expert Systems with Applications: An International Journal
Hi-index | 12.05 |
The paper targets to devise a genuine Knowledge Management (KM) performance measurement model in a stochastic setting based on Data Envelopment Analysis (DEA), Monte Carlo simulation and Genetic Algorithm (GA). The proposed model evaluates KM using a set of proxy measures correlated with the major KM processes. Data Collection Budget Allocation (DCBA) that maximizes the model accuracy is determined using GA. Additional data are generated and analyzed using a Monte-Carlo-enhanced DEA model to obtain the overall KM efficiency and KM processes' efficiency scores. An application of the model has been carried out to evaluate KM performance in higher educational institutions. It is found that with GA, the accuracy of the model has been greatly improved. Lastly, comparing with a conventional deterministic DEA model, the results from the proposed model would be more useful for managers to determine future strategies to improve their KM.