Monte Carlo Data Envelopment Analysis with Genetic Algorithm for Knowledge Management performance measurement

► A Monte Carlo Data Envelopment Analysis model is proposed to measure the stochastic performance of Knowledge Management. ► Genetic Algorithm is used to determine the appropriate data collection budget allocation for stochastic variables. ► The proposed model is better than a deterministic approach...

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Bibliographic Details
Published in:	Expert systems with applications Vol. 39; no. 10; pp. 9348 - 9358
Main Authors:	Kuah, Chuen Tse, Wong, Kuan Yew, Wong, Wai Peng
Format:	Journal Article
Language:	English
Published:	Elsevier Ltd 01.08.2012
Subjects:	Accuracy Computer simulation Data Envelopment Analysis (DEA) Genetic Algorithm (GA) Genetic algorithms Knowledge management Knowledge Management (KM) Monte Carlo methods Monte Carlo simulation Operations research Performance measurement Strategy Knowledge Management (KM) Genetic Algorithm (GA) Data Envelopment Analysis (DEA) Performance measurement Monte Carlo simulation
ISSN:	0957-4174, 1873-6793
Online Access:	Get full text
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