Organizational status identities and the mobility of football players in Europe
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Transcript of Organizational status identities and the mobility of football players in Europe
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Organizational status identities and the mobility of
football players in EuropeThijs Velema
National Taiwan University, Department of Sociology Institute of Sociology, Academia Sinica
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Impact of Luis Suarez transfer on Ajax
•Ajax loses key player•Other players are willing
to move to Ajax
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Organizations use labor mobility to attain status and reputation
Reputation
Status
Labor mobility
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High and low status organizations make different use
of labor mobility High
Middle
Low
AHigh status organization A• Maintain status without harming reputation• Marginal players move, key players are
retained
Low status organization B• Improve status to improve reputation• Key players move, marginal players are
retainedB
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EH analysis of player transfers
Variable Direction Horizontal Downward InternationalTeam status
.9038*** .8481*** .3629***
Player importance
-.0354* -.5907*** -.3556***
Team status * player importance
-.2173*** -.2026*** -.2430***
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To summarize: Who moves?
•Players in high status teams•Fringe players•Team status * player importance•Fringe players in high status teams•Key players in low status teams
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Further questions
•What kind of labor market?•Consequences for football
•Other actors•Player agents?
•Other industries
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Thank you for your attention!!
Questions?www.thijsvelema.com
Attribution for pictures
Edgar Davids (Juventus F.C., no.26) clashing with Gennaro Gattuso (A.C. Milan), by soccer illustrated
Argentina-Holanda_1978, by Archivo ClarinBundesarchiv Bild 183-N0716-0314, Fussball-WM, BRD – Niederlandse 2-1,
by Rainer MittelstadtHowitis, as appeared on http://www.shof.msrcsites.co.ukLuis Suarez vs. Netherlands (cropped).jpg, by Jimmy Baikovicius
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Variables Lateral Downward International
Independent variables Team status .9038*** .8481*** .3629***
Player importance -.0354* -.5907*** -.3556***
status * player importance -.2173*** -.2026*** -.2430***
Team level control variables Team performance .8239*** -1.6788*** .3631**
Perf rel. asp. Levels .6096** 2.0067*** -1.0320***
Stadium capacity -.0057*** -.0033** -.0089***
Player level control variables Career duration -.0123*** -.0104*** -.0071***
Previous clubs .1879*** .1924*** .1764***
Transfer value -.0047 -.1274*** -.0760***
Preferred foot .1039* .0638 .1515*
EU national .0325 .2462*** -1.2728***
Defender .4522*** .5277*** .6265***
Midfielder .6598*** .7255*** .8403***
Attacker .9596*** .8529*** 1.2094***
International .1366*** -.3401*** .0758
Model fit Transfers 4988 6192 2354
Log pseudolikelihood -55773.417 -67421.937 -25907.217