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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| Format: | Article |
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Elsevier Ltd.
2012
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| _version_ | 1796859112394326016 |
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| author | Kuah, Chuen Tse Wong, Kuan Yew Wong, Wai Peng |
| author_facet | Kuah, Chuen Tse Wong, Kuan Yew Wong, Wai Peng |
| author_sort | Kuah, Chuen Tse |
| collection | ePrints |
| description | 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. |
| first_indexed | 2024-03-05T19:22:22Z |
| format | Article |
| id | utm.eprints-47249 |
| institution | Universiti Teknologi Malaysia - ePrints |
| last_indexed | 2024-03-05T19:22:22Z |
| publishDate | 2012 |
| publisher | Elsevier Ltd. |
| record_format | dspace |
| spelling | utm.eprints-472492019-03-31T08:37:27Z http://eprints.utm.my/47249/ Monte Carlo data envelopment analysis with genetic algorithm for knowledge management performance measurement Kuah, Chuen Tse Wong, Kuan Yew Wong, Wai Peng QA76 Computer software 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. Elsevier Ltd. 2012 Article PeerReviewed Kuah, Chuen Tse and Wong, Kuan Yew and Wong, Wai Peng (2012) Monte Carlo data envelopment analysis with genetic algorithm for knowledge management performance measurement. Expert Systems With Applications, 39 (10). pp. 9348-9358. ISSN 0957-4174 http://dx.doi.org/10.1016/j.eswa.2012.02.140 DOI:10.1016/j.eswa.2012.02.140 |
| spellingShingle | QA76 Computer software Kuah, Chuen Tse Wong, Kuan Yew Wong, Wai Peng Monte Carlo data envelopment analysis with genetic algorithm for knowledge management performance measurement |
| title | Monte Carlo data envelopment analysis with genetic algorithm for knowledge management performance measurement |
| title_full | Monte Carlo data envelopment analysis with genetic algorithm for knowledge management performance measurement |
| title_fullStr | Monte Carlo data envelopment analysis with genetic algorithm for knowledge management performance measurement |
| title_full_unstemmed | Monte Carlo data envelopment analysis with genetic algorithm for knowledge management performance measurement |
| title_short | Monte Carlo data envelopment analysis with genetic algorithm for knowledge management performance measurement |
| title_sort | monte carlo data envelopment analysis with genetic algorithm for knowledge management performance measurement |
| topic | QA76 Computer software |
| work_keys_str_mv | AT kuahchuentse montecarlodataenvelopmentanalysiswithgeneticalgorithmforknowledgemanagementperformancemeasurement AT wongkuanyew montecarlodataenvelopmentanalysiswithgeneticalgorithmforknowledgemanagementperformancemeasurement AT wongwaipeng montecarlodataenvelopmentanalysiswithgeneticalgorithmforknowledgemanagementperformancemeasurement |