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A multi-objective sensitivity approach to training providers' evaluation and quota allocation planning
journal contribution
posted on 2011-01-01, 00:00 authored by J Ignatius, A Mustafa, M Jantan, Chee Peng LimChee Peng Lim, T Ramayah, J LeenThe practice of solely relying on the human resources department in the selection process of external training providers has cast doubts and mistrust across other departments as to how trainers are sourced. There are no measurable criteria used by human resource personnel, since most decisions are based on intuitive experience and subjective market knowledge. The present problem focuses on outsourcing of private training programs that are partly government funded, which has been facing accountability challenges. Due to the unavailability of a scientific decision-making approach in this context, a 12-step algorithm is proposed and tested in a Japanese multinational company. The model allows the decision makers to revise their criteria expectations, in turn witnessing the change of the training providers' quota distribution. Finally, this multi-objective sensitivity analysis provides a forward-looking approach to training needs planning and aids decision makers in their sourcing strategy.
History
Journal
International journal of information technology and decision makingVolume
10Issue
1Pagination
147 - 174Publisher
World Scientific PublishingLocation
Singapore, SingaporeISSN
0219-6220eISSN
1793-6845Language
engPublication classification
C1.1 Refereed article in a scholarly journalCopyright notice
2011, World Scientific Publishing CompanyUsage metrics
Keywords
fuzzy linear programmingMCDMmulti-objective optimizationoutsourcingtraining provider evaluationvendor selectionScience & TechnologyTechnologyComputer Science, Artificial IntelligenceComputer Science, Information SystemsComputer Science, Interdisciplinary ApplicationsOperations Research & Management ScienceComputer ScienceMULTICRITERIA DECISION-SUPPORTMULTIPLE CRITERIASUPPLY CHAINPROGRAMMING APPROACHPERFORMANCECOMPETENCESYSTEMArtificial Intelligence and Image Processing
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