Modeling team performance

This study of 3366 Bundesliga-match results aims at a considerable extension of previous analyses of football teams’ performance on the playground. On the one hand, this extension is rooted in a comprehensive consideration of theoretical aspects that, so far, have been neglected in the literature on football teams: Team composition and institutionalization processes. The empirical results indicate that teams that are heterogeneous on several relevant traits perform significantly worse than more homogeneous teams. Moreover, even though the Flat Back lineup (“Abwehrkette”) became tremendously popular within the 1992–2003 observation period—thereby representing a prime example of an institutionalized practice—substantial regression analyses do not indicate any performance advantages of this innovative defense system. Thus, we are unable to reject the new institutionalism’s view that novel organizational procedures might successfully diffuse without possessing any practical added value for the adopting organizations! On the other hand, we provide a novel suggestion to control for regression-to-the-mean-phenomena in statistical models of football match results: Team ranking covariates prove as elegant and powerful controls for regression-to-the-mean effects within the fixed effects regression setup.

[1]  John Goddard,et al.  Forecasting football results and the efficiency of fixed‐odds betting , 2004 .

[2]  Stephen Dobson,et al.  Persistence in sequences of football match results: A Monte Carlo analysis , 2003, Eur. J. Oper. Res..

[3]  Arthur P. Brief,et al.  Research in Organizational Behavior: An Annual Series of Analytical Essays and Critical Reviews , 2003 .

[4]  Cristina B. Gibson,et al.  A Healthy Divide: Subgroups as a Stimulus for Team Learning Behavior , 2003 .

[5]  M. Ventresca,et al.  How Organizations Change: The Role of Institutional Support Mechanisms in the Incorporation of Higher Education Visibility Strategies, 1874-1995 , 2004 .

[6]  Richard A. Guzzo,et al.  Teams in organizations: recent research on performance and effectiveness. , 1996, Annual review of psychology.

[7]  M. Augier,et al.  Administrative Behavior: A Study of Decision‐Making Processes in Administrative Organizations , 2002 .

[8]  D. Czarnitzki,et al.  Uncertainty of outcome versus reputation: Empirical evidence for the First German Football Division , 2002 .

[9]  Peter Walgenbach,et al.  Technical Efficiency or Adaptation to Institutionalized Expectations? The Adoption of ISO 9000 Standards in the German Mechanical Engineering Industry , 2005 .

[10]  B. Frick Globalization and Factor Mobility , 2009 .

[11]  W. Powell,et al.  The iron cage revisited institutional isomorphism and collective rationality in organizational fields , 1983 .

[12]  James D. Westphal,et al.  Customization or Conformity? An Institutional and Network Perspective on the Content and Consequences of TQM Adoption , 1997 .

[13]  C. Reep,et al.  Skill and Chance in Association Football , 1968 .

[14]  Matthias Sutter,et al.  Favoritism of Agents - the Case of Referees' Home Bias , 2002 .

[15]  Stephen Dobson,et al.  The Economics of Football , 2001 .

[16]  W. P. Barnett,et al.  Work group demography, social integration, and turnover. , 1989 .

[17]  C. A. Moser,et al.  Facts from Figures. , 1953 .

[18]  N. Fligstein,et al.  The spread of the multidivisional form among large firms, 1919–1979 , 1985 .

[19]  Ruud H. Koning,et al.  Balance in competition in Dutch soccer , 2000 .

[20]  Joseph T. Banas,et al.  Comparing Alternative Conceptualizations of Functional Diversity in Management Teams: Process and Performance Effects , 2002 .

[21]  Rodney Fort,et al.  Cross-subsidization, Incentives, and Outcomes in Professional Team Sports Leagues , 1995 .

[22]  John Goddard,et al.  Regression models for forecasting goals and match results in association football , 2005 .

[23]  Thomas A. Timmerman Racial Diversity, Age Diversity, Interdependence, and Team Performance , 2000 .

[24]  Xueguang Zhou,et al.  Late Adoption of the Multidivisional Form by Large U.S. Corporations: Institutional, Political, and Economic Accounts , 1993 .

[25]  Robert Simmons,et al.  Odds setters as forecasters: the case of English football , 2005 .

[26]  Detlef Swieter Eine ökonomische Analyse der Fußball-Bundesliga , 2002 .

[27]  M. Moroney,et al.  Facts in figures , 1952 .

[28]  John W. Meyer,et al.  Institutionalized Organizations: Formal Structure as Myth and Ceremony , 1977, American Journal of Sociology.

[29]  Jeffrey Pfeffer,et al.  Organizational demography and turnover in top-management groups. , 1984 .

[30]  Stephen R. Clarke,et al.  Home ground advantage of individual clubs in English soccer , 1995 .

[31]  M. Wiersema,et al.  Top Management Team Demography and Corporate Strategic Change , 1992 .

[32]  Jennifer A. Chatman,et al.  The Influence of Demographic Heterogeneity on the Emergence and Consequences of Cooperative Norms in Work Teams , 2001 .

[33]  C. Reep,et al.  Skill and Chance in Ball Games , 1971 .

[34]  Peter J. Sloane,et al.  SCOTTISH JOURNAL OF POLITICAL ECONOMY:THE ECONOMICS OF PROFESSIONAL FOOTBALL: THE FOOTBALL CLUB AS A UTILITY MAXIMISER* , 1971 .

[35]  Thomas Dohmen The Influence of Social Forces: Evidence from the Behavior of Football Referees , 2008 .

[36]  Bernd Frick,et al.  The Football Players' Labor Market: Empirical Evidence from the Major European Leagues , 2007 .