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Personal Welfare and Intellectual Capital: Analyzing the Case of Football Coaches

This study explores the interplay between personal welfare, intellectual capital (IC), and the performance of football coaches across various leagues including Russia, England, Germany, Spain, Italy, and France. It reviews existing literature on the influence of salaries, income inequality, and coach visibility in media on their intellectual capital. Using a sample of 60 coaches, the research employs a robust statistical model to assess factors affecting salaries, including team performance, player quality, and age, offering essential insights for future studies on the economic implications of coaching in football.

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Personal Welfare and Intellectual Capital: Analyzing the Case of Football Coaches

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  1. PERSONAL WELFARE AND INTELLECTUAL CAPITAL: THE CASE OF FOOTBALL COACHESIuliiaNaidenovaMarina Oskolkova11.10.2013

  2. Idea => Personal (individual) intellectual capital

  3. IC on different levels of analysis

  4. Literature review • Salaries of Spanish football players (Barajas, Rodriguez, 2010) • Income inequality of team sports (Szymanski, 2001) • IC disclosure by football clubs (Shareef and Davey; 2005) • Measurement of IC of football clubs (Gurel and Ekmekci ; 2011) • Rankings (Forbes; Sunday Times) • Tomé, E. (2004; 2012)

  5. Phenomenon of very rich people existence

  6. IIC proxy variables • Difference of team places in national league during the year • Leading places in national championships during the year • Image in media • Former football player • Played for the same team

  7. Control variables • Wins in championships in previous years • Age • Place of birth • Team players’ quality

  8. Difference of team places in national league • Team’ leading places in national championships HUMAN CAPITAL Coach’s salary • Image of coach in media • Former football player Played for the same team PERSONAL WEALTH RELATIONAL CAPITAL Team winsin championships in previous years Age Place of birth Team players’ quality CONTROL VARIABLES Research framework

  9. Sample and data • The clubs operate in Russia, England, Germany, Spain, Italy or France • The clubs achieved places in national championships from the 1st to the 10th • All analyzed variables relate to 2011, because of data availability The final sample consists of 60 coaches

  10. The model SALARY = c + α1·PLACE + α2·IMAGE+ α2·DOWN + α3·UP + α4·FPLAYER + α5·SAMETEAM + β1·PLAYERS + β2·AGE + β3·BIRTH + β4·WINS+ ∑ γi·Di • Method - heteroscedasticity robust ordinary least squares

  11. Results ** indicates significant at the 1% level; * indicates significant at the 10% level

  12. Future research

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