HYBRID PERFORMANCE ANALYSIS WITH MULTI-CRITERIA DECISION-MAKING METHODS: EXAMPLE OF STORE MANAGERS

Year 2024, Volume: 4 Issue: 2, 47 - 70, 13.09.2024

Sercan Edinsel , Cem Duran , Mehmet Alper Akdemir

Abstract

Yöneticilerin performansının etkili bir şekilde değerlendirilmesi ve arttırılması, organizasyonel başarıya ulaşmak ve dinamik iş ortamında rekabet avantajını sürdürmek için çok önemlidir. Bu çalışma, iki önemli karar verme tekniğini birleştiren kapsamlı bir çerçeve kullanarak mağaza yöneticisi performans değerlendirmesi için yeni bir yaklaşım sunmaktadır: Küresel Bulanık Adım Adım Ağırlık Değerlendirme Oran Analizi (SF-SWARA) ve Küresel Bulanık Birleşik Uzlaşma Çözümü (SF-CoCoSo). Sunulan SF-SWARA-CoCoSo yöntemi, değerlendirme sürecine birden fazla bakış açısı ve nesnel kriter dahil ederek yöneticilerin performansını değerlendirmede yer alan doğal karmaşıklıkları ve öznellikleri ele almayı amaçlamaktadır. Bu çalışmanın amacı çok kriterli karar verme yöntemlerini hibrit bir şekilde uygulayarak mağaza yöneticilerinin performansını basit ve anlaşılır bir şekilde değerlendirilmesini sağlamaktır. Çalışmada Küresel Bulanık Adım Adım Ağırlık Değerlendirme Oran Analizi (SF-SWARA) ve Küresel Bulanık Birleşik Uzlaşma Çözümü (SF-CoCoSo) hibrit Çok Kriterli Karar Verme Yöntemi kullanılmıştır. Çalışmanın bulguları "Bilgi ve Eğitim Düzeyi" kriterinin mağaza yöneticisi için en önemli kriter olduğu ve en düşük öneme sahip kriterin ise “Ücret” kriteri olduğunu ortaya koymaktadır. Çalışmanın sonucunda en önemli kriter olduğu tespit edilen "Bilgi ve Eğitim Düzeyi" kriterinin günümüzün bilgi çağı olması nedeni ile ortaya çıktığı sonucuna varılmıştır.

Keywords

Mağaza Müdürü, Çok Kriterli Karar Verme, Performans Değerlendirme, SF-SWARA, SF-CoCoSo

HYBRID PERFORMANCE ANALYSIS WITH MULTI-CRITERIA DECISION MAKING METHODS: EXAMPLE OF STORE MANAGERS

Abstract

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.

Keywords

Store Manager, Multi-Criteria Decision Making, Performance Evaluation, SF-SWARA, SF-CoCoSo

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