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Copa America: a resource-based theory of football talent

Peter Omondi-Ochieng (Department of Kinesiology, University of Louisiana at Lafayette, Lafayette, Louisiana, USA)

Team Performance Management

ISSN: 1352-7592

Article publication date: 26 June 2019

Issue publication date: 5 August 2019

259

Abstract

Purpose

Guided by the resource-based theory, the purpose of this study was to predict the role of football talent in the Federation Internationale de Football Association (FIFA) rankings of the men’s national football teams in the Copa America zone.

Design/methodology/approach

The study used archival data of Copa American national football teams. The dependent variable was FIFA rankings, and the independent variables were football talent (measured by the stocks of amateur footballers, professional footballers and football officials). Statistical analysis was performed using Kendall tau statistic and binary logistic regression.

Findings

The binary logistic regression results indicated that FIFA rankings were statistically and significantly associated with the stock of football officials and professional footballers – but not amateur footballers. The predictive model explained 80 per cent of the variance.

Research limitations/implications

The study focused exclusively on the stock of football talent in each nation, and not alternative determinants of national football team competitiveness as economic power and quality of professional football leagues, among others.

Practical implications

The stocks of professional footballers and football officials are valuable sources of competitive advantage (CA) in national football team rankings.

Originality/value

The study highlighted the uniqueness and distinctiveness of a nation possessing large stocks of professional footballers which can boost the CA and rankings of Copa American national football teams.

Keywords

Citation

Omondi-Ochieng, P. (2019), "Copa America: a resource-based theory of football talent", Team Performance Management, Vol. 25 No. 3/4, pp. 176-191. https://doi.org/10.1108/TPM-03-2018-0021

Publisher

:

Emerald Publishing Limited

Copyright © 2019, Emerald Publishing Limited

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