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A Multi-Objective Sensitivity Approach To Training Providers' Evaluation And Quota Allocation Planning

Author

Listed:
  • JOSHUA IGNATIUS

    (School of Mathematical Sciences, Universiti Sains Malaysia, 11800 Minden, Penang, Malaysia)

  • ADLI MUSTAFA

    (School of Mathematical Sciences, Universiti Sains Malaysia, 11800 Minden, Penang, Malaysia)

  • MUHAMAD JANTAN

    (Social Transformation Platform, Universiti Sains Malaysia, 11800 Minden, Penang, Malaysia)

  • CHEE PENG LIM

    (School of Electrical and Electronic Engineering, Universiti Sains Malaysia, 14300 Nibong Tebal, Penang, Malaysia)

  • T. RAMAYAH

    (Department of Operations Management, School of Management, Universiti Sains Malaysia, 11800 Minden, Penang, Malaysia)

  • JASMINE YEAP AI LEEN

    (Department of Operations Management, School of Management, Universiti Sains Malaysia, 11800 Minden, Penang, Malaysia)

Abstract

The 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.

Suggested Citation

  • Joshua Ignatius & Adli Mustafa & Muhamad Jantan & Chee Peng Lim & T. Ramayah & Jasmine Yeap Ai Leen, 2011. "A Multi-Objective Sensitivity Approach To Training Providers' Evaluation And Quota Allocation Planning," International Journal of Information Technology & Decision Making (IJITDM), World Scientific Publishing Co. Pte. Ltd., vol. 10(01), pages 147-174.
    • Handle: RePEc:wsi:ijitdm:v:10:y:2011:i:01:n:s0219622011004269
    DOI: 10.1142/S0219622011004269
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    Cited by:

    1. V. A. Ramirez & G. N. Sottosanto, 2022. "Nonmonotone trust region algorithm for solving the unconstrained multiobjective optimization problems," Computational Optimization and Applications, Springer, vol. 81(3), pages 769-788, April.

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