Development of a complementary fuzzy decision support system for employees' performance evaluation
This study aims to improve employee evaluation system in one of the leading automobile manufacturers in Iran by designing a fuzzy decision support system (F.D.S.S.). Since this manufacturer is a large-sized company with over 35,000 employees, the number of managers regularly evaluated requires too m...
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| Veröffentlicht in: | Economic research - Ekonomska istraživanja 2019-01, Vol.32 (1), p.492-509 |
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| container_title | Economic research - Ekonomska istraživanja |
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| creator | Nobari, Sabina Mirzaei Yousefi, Vahidreza Mehrabanfar, Ehsan Jahanikia, Amir Hossein Khadivi, Amir Mohammad |
| description | This study aims to improve employee evaluation system in one of the leading automobile manufacturers in Iran by designing a fuzzy decision support system (F.D.S.S.). Since this manufacturer is a large-sized company with over 35,000 employees, the number of managers regularly evaluated requires too much capacity from the human resource team and hence increases the rate of possible misjudgements. However, the proposed F.D.S.S. can reduce the rate of unfair or inconsistent assessments by converting qualitative assessments of the panel to linguistic variables. This action increases the precision of assessment and improves the quality of evaluations. The proposed F.D.S.S. is compared with a fuzzy TOPSIS method to confirm its reliability and validity in which the results show consistency with fuzzy TOPSIS. As a result, the F.D.S.S. is implemented for evaluation of managers in this automobile company instead of the traditional method. |
| doi_str_mv | 10.1080/1331677X.2018.1556106 |
| format | Article |
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Since this manufacturer is a large-sized company with over 35,000 employees, the number of managers regularly evaluated requires too much capacity from the human resource team and hence increases the rate of possible misjudgements. However, the proposed F.D.S.S. can reduce the rate of unfair or inconsistent assessments by converting qualitative assessments of the panel to linguistic variables. This action increases the precision of assessment and improves the quality of evaluations. The proposed F.D.S.S. is compared with a fuzzy TOPSIS method to confirm its reliability and validity in which the results show consistency with fuzzy TOPSIS. As a result, the F.D.S.S. is implemented for evaluation of managers in this automobile company instead of the traditional method.</description><identifier>ISSN: 1331-677X</identifier><identifier>EISSN: 1848-9664</identifier><identifier>DOI: 10.1080/1331677X.2018.1556106</identifier><language>eng</language><publisher>Pula: Routledge</publisher><subject>Decision support systems ; Economic theory ; Employee evaluation ; Employees ; fuzzy decision support systems ; fuzzy logic ; fuzzy TOPSIS ; Motor cars ; Reliability ; Teams</subject><ispartof>Economic research - Ekonomska istraživanja, 2019-01, Vol.32 (1), p.492-509</ispartof><rights>2019 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group. 2019</rights><rights>2019 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group. This work is licensed under the Creative Commons Attribution License http://creativecommons.org/licenses/by/4.0/ (the “License”). 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| source | Taylor & Francis Open Access; Free E-Journal (出版社公開部分のみ） |
| subjects | Decision support systems Economic theory Employee evaluation Employees fuzzy decision support systems fuzzy logic fuzzy TOPSIS Motor cars Reliability Teams |
| title | Development of a complementary fuzzy decision support system for employees' performance evaluation |
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