HYBRID PERFORMANCE ANALYSIS WITH MULTI-CRITERIA DECISION MAKING METHODS: EXAMPLE OF STORE MANAGERS
Öz
Effectively evaluating and enhancing managers' performance is crucial for achieving organizational success and maintaining competitive advantage in a dynamic business environment. This paper presents a new approach for store manager performance evaluation using a comprehensive framework that combines two important decision-making techniques: Global Fuzzy Step-by-Step Step Weight Rating Ratio Analysis (SF-SWARA) and Global Fuzzy Combined Consensus Solution (SF-CoCoSo). The presented SF-SWARA-CoCoSo method aims to address the inherent complexities and subjectivities involved in evaluating managers' performance by incorporating multiple perspectives and objective criteria into the evaluation process. The aim of this study is to apply multi-criteria decision-making methods in a hybrid way to evaluate the performance of store managers in a simple and understandable way. Global Fuzzy Step-by-Step Step Weight Rating Ratio Analysis (SF-SWARA) and Global Fuzzy Combined Consensus Solution (SF-CoCoSo) hybrid Multi-Criteria Decision Making Method were used in the study. The findings of the study reveal that the “Knowledge and Training Level” criterion is the most important criterion for the store manager and the criterion with the lowest importance is the “Salary” criterion. As a result of the study, it is concluded that the criterion “Knowledge and Education Level”, which is determined to be the most important criterion, has emerged due to the fact that today is the information age.
Anahtar Kelimeler
Store Manager, Multi-Criteria Decision Making, Performance Evaluation, SF-SWARA, SF-CoCoSo
Kaynakça
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