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A combined methodology for the concurrent evaluation of the business, financial and sports performance of football clubs: the case of France

Author

Listed:
  • Emilios Galariotis

    (Institute of Finance)

  • Christophe Germain

    (Institute of Finance)

  • Constantin Zopounidis

    (Institute of Finance
    Technical University of Crete)

Abstract

The recent transformation of football clubs to businesses and the challenges posed by this transformation motivate us to study the financial, business, and sports performance of French football clubs. We propose a two-stage method that can be applied to other settings, especially when there exist sample size and theoretical/model specification issues: first, Multicriteria Analysis is used to rank clubs on their financial and business performance dimensions; second, these rankings and the league standing (capturing sports performance) are used to assess the interrelationships of the different dimensions by means of a Partial Least Squares Structural Equation Modeling Approach. We find an amphidromous positive relationship between business performance and sports performance, and a one-way inverse relationship where financial performance affects sports performance. Put simply, more revenues affect sports achievements positively and these in turn impact positively on revenues in a virtuous cycle. The higher revenues do not aid financial performance given a race for success that can be possibly augmented by stakeholder myopia: the inherent to the sport pursuit of short term objectives to the detriment of long term sustainability. Consequently, the role of regulators (national authorities, UEFA Financial Fair Play) as custodians, is ever more important in protecting clubs from financial distress.

Suggested Citation

  • Emilios Galariotis & Christophe Germain & Constantin Zopounidis, 2018. "A combined methodology for the concurrent evaluation of the business, financial and sports performance of football clubs: the case of France," Annals of Operations Research, Springer, vol. 266(1), pages 589-612, July.
    • Handle: RePEc:spr:annopr:v:266:y:2018:i:1:d:10.1007_s10479-017-2631-z
    DOI: 10.1007/s10479-017-2631-z
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    1. Kostas Kounetas, 2014. "Greek football clubs’ efficiency before and after Euro 2004 Victory: a bootstrap approach," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 22(4), pages 623-645, December.
    2. Dijkstra, Theo, 1983. "Some comments on maximum likelihood and partial least squares methods," Journal of Econometrics, Elsevier, vol. 22(1-2), pages 67-90.
    3. Walter C. Neale, 1964. "The Peculiar Economics of Professional Sports," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 78(1), pages 1-14.
    4. Claes Cassel & Peter Hackl & Anders Westlund, 1999. "Robustness of partial least-squares method for estimating latent variable quality structures," Journal of Applied Statistics, Taylor & Francis Journals, vol. 26(4), pages 435-446.
    5. Plácido Moreno & Sebastián Lozano, 2014. "A network DEA assessment of team efficiency in the NBA," Annals of Operations Research, Springer, vol. 214(1), pages 99-124, March.
    6. John Y. Campbell & Jens Hilscher & Jan Szilagyi, 2008. "In Search of Distress Risk," Journal of Finance, American Finance Association, vol. 63(6), pages 2899-2939, December.
    7. Yorgos Goletsis & John Psarras & Jesus-Emmanuel Samouilidis, 2003. "Project Ranking in the Armenian Energy Sector Using a Multicriteria Method for Groups," Annals of Operations Research, Springer, vol. 120(1), pages 135-157, April.
    8. John Hulland, 1999. "Use of partial least squares (PLS) in strategic management research: a review of four recent studies," Strategic Management Journal, Wiley Blackwell, vol. 20(2), pages 195-204, February.
    9. Salvatore Corrente & José Figueira & Salvatore Greco, 2014. "Dealing with interaction between bipolar multiple criteria preferences in PROMETHEE methods," Annals of Operations Research, Springer, vol. 217(1), pages 137-164, June.
    10. Rafael Caballero & Carlos Romero & Francisco Ruiz, 2016. "Multiple criteria decision making and economics: an introduction," Annals of Operations Research, Springer, vol. 245(1), pages 1-5, October.
    11. Zopounidis, Constantin & Doumpos, Michael, 2002. "Multi-group discrimination using multi-criteria analysis: Illustrations from the field of finance," European Journal of Operational Research, Elsevier, vol. 139(2), pages 371-389, June.
    12. Jensen, Michael C. & Meckling, William H., 1976. "Theory of the firm: Managerial behavior, agency costs and ownership structure," Journal of Financial Economics, Elsevier, vol. 3(4), pages 305-360, October.
    13. Cohen, Sandra & Doumpos, Michael & Neofytou, Evi & Zopounidis, Constantin, 2012. "Assessing financial distress where bankruptcy is not an option: An alternative approach for local municipalities," European Journal of Operational Research, Elsevier, vol. 218(1), pages 270-279.
    14. JosÉ Figueira & Salvatore Greco & Matthias Ehrogott, 2005. "Multiple Criteria Decision Analysis: State of the Art Surveys," International Series in Operations Research and Management Science, Springer, number 978-0-387-23081-8, September.
    15. Bertrand Mareschal & Jean Pierre Brans & Philippe Vincke, 1986. "How to select and how to rank projects: the Prométhée method," ULB Institutional Repository 2013/9307, ULB -- Universite Libre de Bruxelles.
    16. Stefan Késenne, 2006. "The Win Maximization Model Reconsidered," Journal of Sports Economics, , vol. 7(4), pages 416-427, November.
    17. Vrooman, John, 2000. "The Economics of American Sports Leagues," Scottish Journal of Political Economy, Scottish Economic Society, vol. 47(4), pages 364-398, September.
    18. Isidoro Guzmán & Stephen Morrow, 2007. "Measuring efficiency and productivity in professional football teams: evidence from the English Premier League," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 15(4), pages 309-328, November.
    19. Chih-Hai Yang & Hsuan-Yu Lin & Chiang-Ping Chen, 2014. "Measuring the efficiency of NBA teams: additive efficiency decomposition in two-stage DEA," Annals of Operations Research, Springer, vol. 217(1), pages 565-589, June.
    20. Dries Goossens & Jeroen Beliën & Frits Spieksma, 2012. "Comparing league formats with respect to match importance in Belgian football," Annals of Operations Research, Springer, vol. 194(1), pages 223-240, April.
    21. Michael Doumpos & Constantin Zopounidis, 2007. "Model combination for credit risk assessment: A stacked generalization approach," Annals of Operations Research, Springer, vol. 151(1), pages 289-306, April.
    22. Brans, J. P. & Vincke, Ph. & Mareschal, B., 1986. "How to select and how to rank projects: The method," European Journal of Operational Research, Elsevier, vol. 24(2), pages 228-238, February.
    23. J. M. Antón & J. B. Grau & J. M. Cisneros & A. M. Tarquis & F. V. Laguna & J. J. Cantero & D. Andina & E. Sánchez, 2016. "Discrete multi-criteria methods for lands use and conservation planning on La Colacha in Arroyos Menores (Río Cuarto, Province of Córdoba, Argentina)," Annals of Operations Research, Springer, vol. 245(1), pages 315-336, October.
    24. Carlos A. Molina & Lorenzo A. Preve, 2009. "Trade Receivables Policy of Distressed Firms and Its Effect on the Costs of Financial Distress," Financial Management, Financial Management Association International, vol. 38(3), pages 663-686, September.
    25. Bernd Frick, 2007. "The Football Players' Labor Market: Empirical Evidence From The Major European Leagues," Scottish Journal of Political Economy, Scottish Economic Society, vol. 54(3), pages 422-446, July.
    26. Emilios C. C Galariotis & Alexis Guyot & Michael Doumpos & Constantin Zopounidis, 2016. "A novel multi-attribute benchmarking approach for assessing the financial performance of local governments: Empirical evidence from France," Post-Print hal-02879848, HAL.
    27. Frick, Bernd & Barros, Carlos Pestana & Prinz, Joachim, 2010. "Analysing head coach dismissals in the German "Bundesliga" with a mixed logit approach," European Journal of Operational Research, Elsevier, vol. 200(1), pages 151-159, January.
    28. Emilios C. C Galariotis & Alexis Guyot & Michael Doumpos & Constantin Zopounidis, 2016. "A novel multi-attribute benchmarking approach for assessing the financial performance of local governments: Empirical evidence from France," Post-Print hal-01194629, HAL.
    29. Matt Pinnuck & Brad Potter, 2006. "Impact of on‐field football success on the off‐field financial performance of AFL football clubs," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 46(3), pages 499-517, September.
    30. Dieter J. Haas, 2003. "Productive efficiency of English football teams-a data envelopment analysis approach," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 24(5), pages 403-410.
    31. Boscá, José E. & Liern, Vicente & Martínez, Aurelio & Sala, Ramøn, 2009. "Increasing offensive or defensive efficiency? An analysis of Italian and Spanish football," Omega, Elsevier, vol. 37(1), pages 63-78, February.
    32. S. M. Dobson & J. A. Goddard, 1998. "Performance and revenue in professional league football: evidence from Granger causality tests," Applied Economics, Taylor & Francis Journals, vol. 30(12), pages 1641-1651.
    33. Sloane, Peter J, 1971. "The Economics of Professional Football: The Football Club as a Utility Maximiser," Scottish Journal of Political Economy, Scottish Economic Society, vol. 18(2), pages 121-146, June.
    34. António S. Ribeiro & Francisco Lima, 2012. "Portuguese football league efficiency and players' wages," Applied Economics Letters, Taylor & Francis Journals, vol. 19(6), pages 599-602, April.
    35. Corrente, Salvatore & Figueira, José Rui & Greco, Salvatore, 2014. "The SMAA-PROMETHEE method," European Journal of Operational Research, Elsevier, vol. 239(2), pages 514-522.
    36. de Dios Tena, Juan & Forrest, David, 2007. "Within-season dismissal of football coaches: Statistical analysis of causes and consequences," European Journal of Operational Research, Elsevier, vol. 181(1), pages 362-373, August.
    37. Umberto Lago & Rob Simmons & Stefan Szymanski, 2006. "The Financial Crisis in European Football," Journal of Sports Economics, , vol. 7(1), pages 3-12, February.
    38. Behzadian, Majid & Kazemzadeh, R.B. & Albadvi, A. & Aghdasi, M., 2010. "PROMETHEE: A comprehensive literature review on methodologies and applications," European Journal of Operational Research, Elsevier, vol. 200(1), pages 198-215, January.
    39. Narayanan, M P, 1985. "Managerial Incentives for Short-term Results," Journal of Finance, American Finance Association, vol. 40(5), pages 1469-1484, December.
    40. D. Duvivier & O. Roux & V. Dhaevers & N. Meskens & A. Artiba, 2007. "Multicriteria optimisation and simulation: an industrial application," Annals of Operations Research, Springer, vol. 156(1), pages 45-60, December.
    41. Pindado, Julio & Rodrigues, Luis & de la Torre, Chabela, 2008. "Estimating financial distress likelihood," Journal of Business Research, Elsevier, vol. 61(9), pages 995-1003, September.
    42. Julian Birkinshaw & Allen Morrison & John Hulland, 1995. "Structural and competitive determinants of a global integration strategy," Strategic Management Journal, Wiley Blackwell, vol. 16(8), pages 637-655.
    43. Carlos Pestana Barros & Stephanie Leach, 2006. "Performance evaluation of the English Premier Football League with data envelopment analysis," Applied Economics, Taylor & Francis Journals, vol. 38(12), pages 1449-1458.
    44. Peter Dawson & Stephen Dobson, 2002. "Managerial efficiency and human capital: an application to English association football," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 23(8), pages 471-486.
    45. Alessandro Baroncelli & Umberto Lago, 2006. "Italian Football," Journal of Sports Economics, , vol. 7(1), pages 13-28, February.
    46. Ron De Heij & Patrick Vermeulen & Linda Teunter, 2006. "Strategic actions in European soccer: Do they matter?," The Service Industries Journal, Taylor & Francis Journals, vol. 26(6), pages 615-632, September.
    47. Guyot, Alexis & Doumpos, Michael & Zopounidis, Constantin, 2016. "A novel multi-attribute benchmarking approach for assessing the financial performance of local governments: Empirical evidence from FranceAuthor-Name: Galariotis, Emilios," European Journal of Operational Research, Elsevier, vol. 248(1), pages 301-317.
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