A fuzzy model for competency-based employee evaluation and selection


Golec A., Kahya E.

COMPUTERS & INDUSTRIAL ENGINEERING, vol.52, no.1, pp.143-161, 2007 (SCI-Expanded) identifier

  • Publication Type: Article / Article
  • Volume: 52 Issue: 1
  • Publication Date: 2007
  • Doi Number: 10.1016/j.cie.2006.11.004
  • Journal Name: COMPUTERS & INDUSTRIAL ENGINEERING
  • Journal Indexes: Science Citation Index Expanded (SCI-EXPANDED), Scopus
  • Page Numbers: pp.143-161
  • Keywords: employee selection, linguistic variables, membership functions, competency, fuzzy-rule base
  • Erciyes University Affiliated: Yes

Abstract

The employee evaluation and selection system is an important problem that can significantly affect the future competitiveness and the performance of an organization. This paper presents a comprehensive hierarchical structure for selecting and evaluating a right employee. The structure can systematically build the goals of employee selection to carry out the business goals and strategies of an organization, identify the suitable factor and measure indicators, and set up a consistent evaluation standard for facilitating a decision process. The process of matching an employee with a certain job is performed through a competency-based fuzzy model. An example demonstrates the feasibility of the presented framework.

The employee evaluation and selection system is an important problem that can significantly affect the future competitiveness and the performance of an organization. This paper presents a comprehensive hierarchical structure for selecting and evaluating a right employee. The structure can systematically build the goals of employee selection to carry out the business goals and strategies of an organization, identify the suitable factor and measure indicators, and set up a consistent evaluation standard for facilitating a decision process. The process of matching an employee with a certain job is performed through a competency-based fuzzy model. An example demonstrates the feasibility of the presented framework. (c) 2006 Elsevier Ltd. All rights reserved.