Monte Carlo data envelopment analysis with genetic algorithm for knowledge management performance measurement

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 K...

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Bibliographic Details
Main Authors: Kuah, Chuen Tse, Wong, Kuan Yew, Wong, Wai Peng
Format: Article
Published: Elsevier Ltd. 2012
Subjects:
Online Access:http://eprints.utm.my/id/eprint/47249/
http://dx.doi.org/10.1016/j.eswa.2012.02.140
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