Analyzing the champions league teams via decision models

GÖKGÖZ F., YALÇIN E.

Team Performance Management, cilt.29, sa.1-2, ss.15-44, 2023 (ESCI) identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 29 Sayı: 1-2
  • Basım Tarihi: 2023
  • Doi Numarası: 10.1108/tpm-05-2022-0041
  • Dergi Adı: Team Performance Management
  • Derginin Tarandığı İndeksler: Emerging Sources Citation Index (ESCI), Scopus, ABI/INFORM, Aerospace Database, Business Source Elite, Business Source Premier, Communication Abstracts, INSPEC, Metadex, Civil Engineering Abstracts
  • Sayfa Sayıları: ss.15-44
  • Anahtar Kelimeler: Football, Champions league, Multi-criteria decision-making, Super-slack-based DEA, DATA ENVELOPMENT ANALYSIS, FOOTBALL CLUBS, EUROPEAN FOOTBALL, EX-ANTE, PERFORMANCE, EFFICIENCY, DEA, SELECTION, TOPSIS
  • Ankara Üniversitesi Adresli: Evet

Özet

© 2022, Emerald Publishing Limited.Purpose: The purpose of this study is to evaluate the performance of the Champions League teams using the entropy-integrated Multi Attribute Ideal-Real Comparative Analysis (MAIRCA) and super-slack-based data envelopment analysis for the 2012–2022 period. Design/methodology/approach: This study consists of two sections. First, this study uses the entropy-integrated MAIRCA approach, which is a novel multi-criteria decision-making (MCDM) technique developed by Gigović, to measure the performance of Champions League clubs. Second, this study proceeds with the super-slack-based DEA to evaluate the efficiency of the Champions League clubs. Findings: As per the empirical results, Real Madrid is found to be the best-performing club over the past 10 years in terms of financial and sportive performance. Over the analyzed period, teams from the five Major Leagues of Europe perform better. Originality/value: To the best of the authors’ knowledge, performance measurement studies in football have focused on either DEA or MCDM. This study aims to present novelty for football literature by evaluating holistically both the sportive and financial dimensions. This paper also analyzes Champions League teams from the perspective of both MCDM and super-slack-based DEA methods.