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A neural network modelling on human resource talent selection

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  • L.C. Huang, P. Wu, R.J. Kuo, H.C. Huang

Abstract

Due to the rapid improvement of information technologies (ITs), they have been applied in the area of human resources management (HRM), which is called a human resources information system (HRIS). An effective HRIS should be able to handle complicated personnel data to assist the implementation of new policies and managerial strategies in an organisation. Thus, the main purpose of this study is to apply an artificial neural network (ANN), which is capable of learning and recalling and has been widely used in the areas of engineering, for top managers to select potential employees for the position of manager. The case study results show that the proposed system is well able to learn the data collected from the top managers and the test results are very promising. Also, the proposed system has been implemented in the Web in order to fit the requirements of the electronic era.

Suggested Citation

  • L.C. Huang, P. Wu, R.J. Kuo, H.C. Huang, 2001. "A neural network modelling on human resource talent selection," International Journal of Human Resources Development and Management, Inderscience Enterprises Ltd, vol. 1(2/3/4), pages 206-219.
    • Handle: RePEc:ids:ijhrdm:v:1:y:2001:i:2/3/4:p:206-219
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    Cited by:

    1. Martin Selvakumar Mohanan & Vijayakumar Rajarathinam, 2023. "Deep insight of HR management on work from home scenario during Covid pandemic situation using intelligent: analysis on IT sectors in Tamil Nadu," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 14(4), pages 1151-1182, August.

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