Title: A neural network modelling on human resource talent selection

Authors: L.C. Huang, P. Wu, R.J. Kuo, H.C. Huang

Addresses: Department of Industrial Engineering & Management, I-Shou University, Kaohsiung County, Taiwan, 84008, ROC. Department of Industrial Engineering & Management, I-Shou University, Kaohsiung County, Taiwan, 84008, ROC. Department of Industrial Engineering, National Taipei University, of Technology, No. 1, Section 3, Chung-Hsiao East Road, Taipei, Taiwan 106, ROC. Department of Information Management, Tajen Institute of Technology, 20, Weishin Road, Yanpu Shiang, Pingtung, Taiwan 907, ROC

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.

Keywords: decision support system; human resources information system; human resources management; managerial skill; neural network; talent selection.

DOI: 10.1504/IJHRDM.2001.001006

International Journal of Human Resources Development and Management, 2001 Vol.1 No.2/3/4, pp.206-219

Available online: 18 Aug 2003 *

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