Personnel selection using analytic network process and fuzzy data envelopment analysis approaches |
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| Affiliation: | 1. Department of Chemistry, Faculty of Arts and Sciences, Ondokuz May?s University, 55139, Kurupelit, Samsun, Turkey;2. Department of Physics, Faculty of Arts and Sciences, Amasya University, 05100 Amasya, Turkey;3. Faculty of Education, Department of Science Education, Amasya University, 05100 Amasya, Turkey;4. Department of Secondary Mathematics and Science Education, Faculty of Education, Ondokuz May?s University, 55139 Samsun, Turkey;1. Technical Sciences Vocational School, Amasya University, 05100, Turkey;2. Department of Physics, Faculty of Arts and Sciences, Amasya University, 05100, Amasya, Turkey;3. Department of Chemistry, Faculty of Arts and Sciences, Ondokuz May?s University, 55139, Atakum, Samsun, Turkey;4. Department of Physics, Faculty of Arts and Sciences, Ondokuz May?s University, 55139, Atakum, Samsun, Turkey;5. Faculty of Education, Department of Science Education, Amasya University, 05100, Amasya, Turkey;1. Departamento de Física, Escuela Superior de Física y Matemáticas, Instituto Politécnico Nacional, Edificio 9, Unidad Profesional Adolfo López Mateos, Mexico D.F. 07738, Mexico;2. Astrophysics Group, Department of Physics, Federal University Lafia, P. M. B. 146, Lafia, Nigeria;3. CIDETEC, Instituto Politécnico Nacional, UPALM, México D.F. 07700, Mexico;4. Theoretical Physics Section, Department of Physics, University of Ilorin, P. M. B. 1515, Ilorin, Nigeria;5. Department of Physics, Faculty of Science, An-Najah National University, New Campus, Nablus, West Bank, Palestine |
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| Abstract: | This paper develops a decision support tool using an integrated analytic network process (ANP) and fuzzy data envelopment analysis (DEA) approach to effectively deal with the personnel selection problem drawn from an electric and machinery company in Taiwan. The current personnel selection procedure is a separate two-stage method. The administration practice shows that the separation between stages 1 and 2 reduces the administration quality and may incur both the top manager’s displeasure and the decision-makers’ depression. An illustrative example by a simulated application demonstrates the implementation of the proposed approach. This example demonstrates how this approach can avoid the main drawback of the current method, and more importantly, can deal with the personnel selection problem more convincingly and persuasively. This study supports the applications of ANP and fuzzy DEA as decision support tools in personnel selection. |
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