Please use this identifier to cite or link to this item:
http://elar.urfu.ru/handle/10995/131228
Title: | Manufacturing Industry Performance Appraisals: Multi-Criteria Decision-Making Model |
Authors: | Andriani, D. P. Wijayanti, F. Rahmani, I. V. Aini, A. P. N. |
Issue Date: | 2022 |
Publisher: | Penerbit UTHM |
Citation: | Andriani, DP, Wijayanti, F, Rahmani, IV & Aini, APN 2022, 'Manufacturing Industry Performance Appraisals: Multi-Criteria Decision-Making Model', International Journal of Integrated Engineering, Том. 14, № 6, стр. 28-37. https://doi.org/10.30880/ijie.2022.14.06.003 Andriani, D. P., Wijayanti, F., Rahmani, I. V., & Aini, A. P. N. (2022). Manufacturing Industry Performance Appraisals: Multi-Criteria Decision-Making Model. International Journal of Integrated Engineering, 14(6), 28-37. https://doi.org/10.30880/ijie.2022.14.06.003 |
Abstract: | Companies with assessment criteria often consider only the leader's subjectivity and ignore other criteria. Limited appraisal criteria result in shortcomings in the decision-making process. This study examines the performance appraisal in a plastic manufacturing company's production floor and develops a multi-criteria decision-making model for performance appraisal by considering company criteria. We propose a qualitative approach using the analytic network process to determine the weighted criteria and sub-criteria to evaluate performance by involving all criteria. The results show that qualitative performance criteria yield higher scores for workers than the quantitative performance criteria, thereby confirming that subjectivity and qualitative criteria influence performance appraisal in the manufacturing industry. A multi-criteria decision-making model is required in performance appraisals to determine the overall measurable criteria. Moreover, this study contributes to an empirical solution for achieving an effective human resource management system. © Universiti Tun Hussein Onn Malaysia Publisher’s Office |
Keywords: | ANALYTIC NETWORK PROCESS DECISION ANALYSIS MANUFACTURING INDUSTRY MULTI-CRITERIA DECISION MAKING PERFORMANCE APPRAISAL |
URI: | http://elar.urfu.ru/handle/10995/131228 |
Access: | info:eu-repo/semantics/openAccess |
SCOPUS ID: | 85142272653 |
WOS ID: | 001126282000003 |
PURE ID: | 32803015 020c404a-a81e-46f4-8a42-6e93cc14a836 |
ISSN: | 2229-838X |
DOI: | 10.30880/ijie.2022.14.06.003 |
metadata.dc.description.sponsorship: | Universitas Brawijaya, UB The authors express gratitude to Brawijaya University, Malang, Indonesia, for extraordinary support. |
Appears in Collections: | Научные публикации ученых УрФУ, проиндексированные в SCOPUS и WoS CC |
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