Applications of VIKOR Method in Supplier Selection: A Meta-Regression Analysis

Authors

  • Ayşe Anafarta Emekli Öğretim Üyesi, Antalya, Türkiye
  • Neylan Kaya Akdeniz Üniversitesi, İktisadi ve İdari Bilimler Fakültesi, İşletme Bölümü, Antalya, Türkiye

DOI:

https://doi.org/10.20491/isarder.2021.1275

Keywords:

Supplier selection, VIKOR, Fuzzy VIKOR, Integrated VIKOR

Abstract

Purpose –  This study attempts to systematically analyze empirical studies using VIKOR method in solving supplier selection problem and to identify the factors affecting mean S (MS) scores through use of meta-regression analysis.

Design/methodology/approach – The sample size of this meta-analysis study consisted of 44 empirical papers obtained from nine databases and meeting the inclusion criteria.

Findings – Systematic review results revealed that the use of VIKOR method has been increasing rapidly in the solution of supplier selection problems. Meta-regression analysis results suggested that the number of decision makers, number of alternatives, number of criteria, country and sector variables did not affect MS scores.

Discussion –  Using the fuzzy VIKOR method to solve the supplier selection problem were identified to provide a lower MS score, while using the integrated VIKOR method ensured a higher MS score. Detailed studies will provide a better understanding of the relationship between MS scores and the qualities of studies reporting these scores.

Published

2021-09-28

How to Cite

Anafarta, A., & Kaya, N. (2021). Applications of VIKOR Method in Supplier Selection: A Meta-Regression Analysis . Journal of Business Research - Turk, 13(3), 2523–2536. https://doi.org/10.20491/isarder.2021.1275

Issue

Section

Articles