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Gross national income, football workers and national football team performances

Gross national income, football workers and national football team performances Purpose – This study aims to examine the association between national economic prosperity (measured by per capita gross national income – GNI) and the acquisition of football workers (indicated by number of amateur footballers, football officials and professional footballers) and predict football performances (specified by qualifications at continental football championships) based on per capita GNI and football workers. Design/methodology/approach – Archival data of 203 national football teams were utilized based on continental football championship records before 2014. Binary logistic regression analysis was used to build various models to ascertain their predictive values. Economically prosperous nations are those with a per capita GNI of more than US$10,000, and unprosperous nations are those with per capita GNI of less than US$10,000. Findings – The analysis indicated that per capita GNI was significantly and positively associated with the acquisition of football workers – but not predictive of football performance. Rather football officials and professionals emerged to be the key predictors of football performance and not per capita GNI. The final model predicted 73.1 and 74.2 per cent of performance and non-performance, respectively, of national football teams correctly. Research limitations – The findings were largely restricted to quantitative archival data for the last continental championships. However, future research may benefit from using qualitative interviews, questionnaires and or ethnographic studies of players, teams and or managers. Practical implications – The results revealed that economic prosperity positively influences the acquisition of football resources (here – in football workers). Specifically, targeted production of football workers, such as the acquisition of a large number of effective professional footballers and officials, can boost football performance – and not merely economic prosperity. Originality/value – Actual football-specific human capital (and not general population) was used in predicting continental football qualifications – a factor uncommon in such studies. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Team Performance Management Emerald Publishing

Gross national income, football workers and national football team performances

Team Performance Management , Volume 21 (7/8): 16 – Oct 12, 2015

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Publisher
Emerald Publishing
Copyright
Copyright © Emerald Group Publishing Limited
ISSN
1352-7592
DOI
10.1108/TPM-04-2015-0018
Publisher site
See Article on Publisher Site

Abstract

Purpose – This study aims to examine the association between national economic prosperity (measured by per capita gross national income – GNI) and the acquisition of football workers (indicated by number of amateur footballers, football officials and professional footballers) and predict football performances (specified by qualifications at continental football championships) based on per capita GNI and football workers. Design/methodology/approach – Archival data of 203 national football teams were utilized based on continental football championship records before 2014. Binary logistic regression analysis was used to build various models to ascertain their predictive values. Economically prosperous nations are those with a per capita GNI of more than US$10,000, and unprosperous nations are those with per capita GNI of less than US$10,000. Findings – The analysis indicated that per capita GNI was significantly and positively associated with the acquisition of football workers – but not predictive of football performance. Rather football officials and professionals emerged to be the key predictors of football performance and not per capita GNI. The final model predicted 73.1 and 74.2 per cent of performance and non-performance, respectively, of national football teams correctly. Research limitations – The findings were largely restricted to quantitative archival data for the last continental championships. However, future research may benefit from using qualitative interviews, questionnaires and or ethnographic studies of players, teams and or managers. Practical implications – The results revealed that economic prosperity positively influences the acquisition of football resources (here – in football workers). Specifically, targeted production of football workers, such as the acquisition of a large number of effective professional footballers and officials, can boost football performance – and not merely economic prosperity. Originality/value – Actual football-specific human capital (and not general population) was used in predicting continental football qualifications – a factor uncommon in such studies.

Journal

Team Performance ManagementEmerald Publishing

Published: Oct 12, 2015

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