Analytic-based decision analysis tool for employee-job assignments based on competency and job preference
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Publication Details
Author list: Jaturanonda C., Nanthavanij S.
Publication year: 2011
Volume number: 18
Issue number: 2
Start page: 58
End page: 70
Number of pages: 13
ISSN: 1072-4761
eISSN: 1072-4761
Languages: English-Great Britain (EN-GB)
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Abstract
This paper discusses an analytic-based decision analysis tool called Employee-Job Assignment System (EJAS) for solving the employee-job assignment problem (EJAP). The EJAS is intended to determine an employee-job assignment (EJA) solution that optimizes the employees' work efficiency and job satisfaction. Two person-job (P-J) fit criteria are considered: (1) competency-based P-J fit, and (2) preference-based P-J fit. Depending on the decision-maker's selection, the EJAS determines an EJA solution that maximizes the chosen P-J fit. Additionally, it is capable of generating several near-optimal solutions to assist the decision-maker in selecting a suitable EJA solution. Significance: Effective management of the human resource is an important issue for every business organization. Assigning the right employees to the right jobs can help the organization to increase its productivity and/or enhance its service efficiency. The proposed decision analysis tool enables responsible decision-makers to develop the employee-job assignment solution that considers both competency and job preference; thus, achieving increased productivity and better job satisfaction. ฉ International Journal of Industrial Engineering.
Keywords
Decision support system, Employee-job assignment, Job satisfaction, Person-job fit, Workforce management
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