nep-spo New Economics Papers
on Sports and Economics
Issue of 2024‒01‒15
four papers chosen by
Humberto Barreto, DePauw University


  1. Les snowparks : une innovation aux visages pluriels en station de sports d'hiver By Bastien Soulé; Véronique Reynier
  2. Farmers league: squad structure and resource dependency The case of French Ligue1 By Antoine Feuillet; Loris Terrettaz; Mickaël Terrien
  3. Mens Sana in Corpore Sano! The Hiring Premium for Physical versus Mental Exercise in Different Occupations By Verhaest, Dieter; Baert, Stijn
  4. Looking beyond ChatGPT: Why AI Reinforcement Learning is set for Prime Time By Jacques Bughin

  1. By: Bastien Soulé (L-VIS - Laboratoire sur les Vulnérabilités et l'Innovation dans le Sport (EA 7428) - UCBL - Université Claude Bernard Lyon 1 - Université de Lyon); Véronique Reynier (PACTE - Pacte, Laboratoire de sciences sociales - CNRS - Centre National de la Recherche Scientifique - UGA - Université Grenoble Alpes - IEPG - Sciences Po Grenoble - Institut d'études politiques de Grenoble - UGA - Université Grenoble Alpes)
    Date: 2022–04–01
    URL: http://d.repec.org/n?u=RePEc:hal:journl:hal-03889196&r=spo
  2. By: Antoine Feuillet (CIAMS - Complexité, Innovation, Activités Motrices et Sportives - UO - Université d'Orléans - Université Paris-Saclay); Loris Terrettaz; Mickaël Terrien
    Abstract: Purpose This research aimed to measure the influence of resource dependency (trading and/or shareholder's dependencies) squad age structure by building archetypes to identify strategic dominant schemes. Design/methodology/approach Based on the Ligue 1 football clubs from the 2009/2010 season to the 2018/2019 data, the authors use the k-means classification to build archetypes of resource dependency and squad structure variables. The influence of resource dependency on squad structure is then analysed through a table of contingency. Findings Firstly, the authors identify archetypes of resource dependency with some clubs that are dependent on the transfer market and others that do not count on sales to balance their account. Secondly, they provide different archetypes of squad structure choices. The contingency between those archetypes allows to identify three main strategic schemes (avoidance, shaping and adaptation). Originality/value The research tests an original relationship between resource dependency of clubs and their human resource strategy to respond to it. This paper can help to provide detailed profiles for big clubs looking for affiliate clubs to know which clubs have efficient academy or player development capacities.
    Date: 2023–12–01
    URL: http://d.repec.org/n?u=RePEc:hal:journl:hal-04323874&r=spo
  3. By: Verhaest, Dieter (KU Leuven); Baert, Stijn (Ghent University)
    Abstract: We investigate the impact of participation in physical and mental exercise activities on hirability. Besides by comparing both forms of exercising, we innovate against the existing literature by comparing their impact between different types of jobs, where other effects could be expected. To this end, an audit experiment is conducted in which we send 2184 fictitious applications of young job seekers to real job vacancies. On average, the estimated effect of both physical and mental exercise activities is small and statistically insignificant. However, the effect of participation in any exercise activity is significantly positive for jobs combining low cognitive with low physical demands. These findings are not consistent with the common consideration of physical exercise activities being used by employers as signals of physical fitness and appearance.
    Keywords: sports, mental fitness, skills, employment, field experiments
    JEL: J24 J63
    Date: 2023–12
    URL: http://d.repec.org/n?u=RePEc:iza:izadps:dp16658&r=spo
  4. By: Jacques Bughin
    Abstract: Companies must master AI—and all techniques, whether it is (un)supervised learning or reinforcement learning as is set to revolutionise predictive powers and maximise chances of success in sports and other fields.
    Keywords: ChatGPT, AI
    Date: 2023–12
    URL: http://d.repec.org/n?u=RePEc:ict:wpaper:2013/365936&r=spo

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