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A comparative multi criteria decision analysis of football teams: evidence on FIFA world cup

Fazıl Gökgöz (Department of Management, Faculty of Political Sciences, Ankara University, Ankara, Turkey)
Engin Yalçın (Institute of Social Sciences, Management, Ankara University, Ankara, Turkey)

Team Performance Management

ISSN: 1352-7592

Article publication date: 1 June 2021

Issue publication date: 8 June 2021

238

Abstract

Purpose

World Cup tournament is one of the most popular international organizations in football. The purpose of this paper is to investigate the overall performance of World Cup 2018 teams via multi-criteria decision-making (MCDM) approaches.

Design/methodology/approach

The presented approach adopts entropy integrated Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) and Weighted Aggregated Sum Product Assessment (WASPAS) approaches to weight the criteria and evaluate the performance of World Cup 2018 teams. Initially, the authors compute weight criteria via Shannon Entropy method. Then, the authors compute and compare the results of TOPSIS and WASPAS methods so as to evaluate the performance of World Cup 2018 teams.

Findings

According to TOPSIS and WASPAS results, Belgium has demonstrated better performance in comparison to other teams. As per to the empirical results, both methods have shown a significant harmony in terms of performance figures. There is also strong positive correlation between TOPSIS and WASPAS method results. This result confirms the stability of the analysis.

Originality/value

This paper contributes to sport performance management literature by using MCDM methods in FIFA World Cup 2018 teams. To the best of the authors’ knowledge, this is the first paper to measure performance of an international football organization via MCDM methods.

Keywords

Citation

Gökgöz, F. and Yalçın, E. (2021), "A comparative multi criteria decision analysis of football teams: evidence on FIFA world cup", Team Performance Management, Vol. 27 No. 3/4, pp. 177-191. https://doi.org/10.1108/TPM-05-2020-0039

Publisher

:

Emerald Publishing Limited

Copyright © 2021, Emerald Publishing Limited

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