IDEAS home Printed from https://ideas.repec.org/a/spr/operea/v19y2019i2d10.1007_s12351-017-0300-2.html
   My bibliography  Save this article

Multiciteria evaluation of football clubs: the Greek Superleague

Author

Listed:
  • Ermis Chelmis

    (Technical University of Crete)

  • Dimitrios Niklis

    (Technical University of Crete)

  • George Baourakis

    (Mediterranean Agronomic Institute of Chania)

  • Constantin Zopounidis

    (Technical University of Crete
    Audencia Business School)

Abstract

Football in Greece, as well as in whole world, exceeds the limits of simply the most commercial and widespread sport, becoming additionally a major issue in the political agenda. This can easily become understood, observing the impact of crucial football events (Mundial, Euro Cup, Champion’s League etc.) in world level. Besides the above events, each football league attracts the interest of people, media and politicians. Many studies have been done in this field, focusing mostly on the efficiency of football clubs, especially in countries such as England, Spain and Germany. The aim of this paper is to examine the performance of Greek football clubs competing in the Superleague for the period 2012–2014, regarding three different aspects (financial, commercial and sport). Our study differentiates from similar studies in the following points: (a) three different dimensions are examined in order to obtain a global view of football clubs, (b) the sample regards Greek Superleague teams, a regional and not so wealthy championship compared to other Europeans, and (c) the aim is to rank the teams, accordance to these aspects and not identify the efficient and not efficient teams. A well-known and established multiple-criteria decision making method (PROMETHEE II) is used, which has been found appropriate in several topics regarding ranking problems. In order our results to be meaningful, a decision maker assisted in the selection of the most influential factors in football clubs evaluation. The results partly verify earlier studies, since football clubs, with a few exceptions and surprises, were found financially imbalanced, with strong profitability, solvency and liquidity problems. The dependence of Greek Superleague on television rights and the basic sponsorship of OPAP (state betting company) is highly conspicuous amid the wider and much discussed European economic crisis in the field of football. Development trends via proposals of specific economic and social activities are listed, in response to the state and administrative mismanagement throughout the years.

Suggested Citation

  • Ermis Chelmis & Dimitrios Niklis & George Baourakis & Constantin Zopounidis, 2019. "Multiciteria evaluation of football clubs: the Greek Superleague," Operational Research, Springer, vol. 19(2), pages 585-614, June.
  • Handle: RePEc:spr:operea:v:19:y:2019:i:2:d:10.1007_s12351-017-0300-2
    DOI: 10.1007/s12351-017-0300-2
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s12351-017-0300-2
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.

    File URL: https://libkey.io/10.1007/s12351-017-0300-2?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Helmut M. Dietl & Egon Franck, 2007. "Governance Failure and Financial Crisis in German Football," Journal of Sports Economics, , vol. 8(6), pages 662-669, December.
    2. George E. Halkos & Nickolaos G. Tzeremes, 2013. "A Two‐Stage Double Bootstrap DEA: The Case of the Top 25 European Football Clubs' Efficiency Levels," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 34(2), pages 108-115, March.
    3. 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.
    4. Vassiliki Avgerinou & Stefanos Giakoumatos, 2009. "Price, Income & Unemployment Effects on Greek Professional Football," Working Papers 0907, International Association of Sports Economists;North American Association of Sports Economists.
    5. Macharis, Cathy & Springael, Johan & De Brucker, Klaas & Verbeke, Alain, 2004. "PROMETHEE and AHP: The design of operational synergies in multicriteria analysis.: Strengthening PROMETHEE with ideas of AHP," European Journal of Operational Research, Elsevier, vol. 153(2), pages 307-317, March.
    6. F. Hutton Barron & Bruce E. Barrett, 1996. "Decision Quality Using Ranked Attribute Weights," Management Science, INFORMS, vol. 42(11), pages 1515-1523, November.
    7. K. Kosmidou & F. Pasiouras & M. Doumpos & C. Zopounidis, 2006. "Assessing performance factors in the UK banking sector: A multicriteria methodology," 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. 14(1), pages 25-44, February.
    8. Stefan Szymanski & Ron Smith, 2010. "The English Football Industry: Profit, Performance and Industrial Structure," Palgrave Macmillan Books, in: Football Economics and Policy, chapter 1, pages 1-26, Palgrave Macmillan.
    9. 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.
    10. Annis David H. & Craig Bruce A., 2005. "Hybrid Paired Comparison Analysis, with Applications to the Ranking of College Football Teams," Journal of Quantitative Analysis in Sports, De Gruyter, vol. 1(1), pages 1-33, October.
    11. Stefan Szymanski, 2010. "Football Economics and Policy," Palgrave Macmillan Books, Palgrave Macmillan, number 978-0-230-27426-6.
    12. Barajas, Angel & Crolley, Liz, 2005. "A model to explain support in Spanish football," MPRA Paper 3235, University Library of Munich, Germany.
    13. 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.
    14. Umberto Lago & Rob Simmons & Stefan Szymanski, 2006. "The Financial Crisis in European Football," Journal of Sports Economics, , vol. 7(1), pages 3-12, February.
    15. Egon Franck, 2014. "Financial Fair Play in European Club Football: What Is It All About?," International Journal of Sport Finance, Fitness Information Technology, vol. 9(3), pages 193-217, August.
    16. Ilker SAKINC & Merve GULEN, 2014. "The Performance Comparison of the Participation Banks Acting In Turkey Grey Relations Analysis Method," International Conference on Economic Sciences and Business Administration, Spiru Haret University, vol. 1(1), pages 238-245, December.
    17. Siskos, Eleftherios & Tsotsolas, Nikos, 2015. "Elicitation of criteria importance weights through the Simos method: A robustness concern," European Journal of Operational Research, Elsevier, vol. 246(2), pages 543-553.
    18. Reza Kiani Mavi & Neda Kiani Mavi & Leila Kiani, 2012. "Ranking football teams with AHP and TOPSIS methods," International Journal of Decision Sciences, Risk and Management, Inderscience Enterprises Ltd, vol. 4(1/2), pages 108-126.
    19. Ýlker SAKINÇ & Merve GÜLEN, 2014. "The Performance Comparison of the Participation Banks Acting in Turkey via Grey Relations Analysis Method," Journal of Economic and Social Thought, KSP Journals, vol. 1(1), pages 3-14, December.
    20. 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.
    21. Figueira, Jose & Roy, Bernard, 2002. "Determining the weights of criteria in the ELECTRE type methods with a revised Simos' procedure," European Journal of Operational Research, Elsevier, vol. 139(2), pages 317-326, June.
    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. Constantin Zopounidis & George Baourakis & Dimitrios Niklis, 2010. "A comparative study of tourism performance in the Mediterranean region: a multicriteria approach," International Journal of Information and Decision Sciences, Inderscience Enterprises Ltd, vol. 2(3), pages 285-303.
    24. 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.
    25. Carlos Barros & Pedro Garcia-del-Barrio, 2011. "Productivity drivers and market dynamics in the Spanish first division football league," Journal of Productivity Analysis, Springer, vol. 35(1), pages 5-13, February.
    26. S. Mohammad Arabzad & Mazaher Ghorbani & Arash Shahin, 2013. "Ranking players by DEA the case of English Premier League," International Journal of Industrial and Systems Engineering, Inderscience Enterprises Ltd, vol. 15(4), pages 443-461.
    27. Barros, Carlos Pestana & Garcia-del-Barrio, Pedro, 2008. "Efficiency measurement of the English football Premier League with a random frontier model," Economic Modelling, Elsevier, vol. 25(5), pages 994-1002, September.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Ana Pérez-González & Pablo Carlos & Elisa Alén, 2022. "An analysis of the efficiency of football clubs in the Spanish First Division through a two-stage relational network DEA model: a simulation study," Operational Research, Springer, vol. 22(3), pages 3089-3112, July.
    2. Isidoro Guzmán-Raja & Manuela Guzmán-Raja, 2021. "Measuring the Efficiency of Football Clubs Using Data Envelopment Analysis: Empirical Evidence From Spanish Professional Football," SAGE Open, , vol. 11(1), pages 21582440219, February.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. 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.
    2. J. Brandon Bolen & Jon Rezek & Joshua D. Pitts, 2019. "Performance Efficiency in NCAA Basketball," Journal of Sports Economics, , vol. 20(2), pages 218-241, February.
    3. 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.
    4. Andrés Picazo-Tadeo & Francisco González-Gómez, 2010. "Does playing several competitions influence a team’s league performance? Evidence from Spanish professional football," 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. 18(3), pages 413-432, September.
    5. Isidoro Guzmán-Raja & Manuela Guzmán-Raja, 2021. "Measuring the Efficiency of Football Clubs Using Data Envelopment Analysis: Empirical Evidence From Spanish Professional Football," SAGE Open, , vol. 11(1), pages 21582440219, February.
    6. Marta Bottero & Chiara D’Alpaos & Alessandra Oppio, 2019. "Ranking of Adaptive Reuse Strategies for Abandoned Industrial Heritage in Vulnerable Contexts: A Multiple Criteria Decision Aiding Approach," Sustainability, MDPI, vol. 11(3), pages 1-18, February.
    7. Fabíola Zambom-Ferraresi & Lucía Isabel García-Cebrián & Fernando Lera-López & Belén Iráizoz, 2017. "Performance Evaluation in the UEFA Champions League," Journal of Sports Economics, , vol. 18(5), pages 448-470, June.
    8. Govindan, Kannan & Kadziński, Miłosz & Sivakumar, R., 2017. "Application of a novel PROMETHEE-based method for construction of a group compromise ranking to prioritization of green suppliers in food supply chain," Omega, Elsevier, vol. 71(C), pages 129-145.
    9. Kubińska, Elżbieta & Adamczyk-Kowalczuk, Magdalena & Andrzejewski, Mariusz & Rozakis, Stelios, 2022. "Incorporating the status quo effect into the decision making process: The case of municipal companies merger," Socio-Economic Planning Sciences, Elsevier, vol. 84(C).
    10. Ikuobase Emovon & Rosemary A. Norman & Alan J. Murphy, 2018. "Hybrid MCDM based methodology for selecting the optimum maintenance strategy for ship machinery systems," Journal of Intelligent Manufacturing, Springer, vol. 29(3), pages 519-531, March.
    11. Majid Roodposhti & Saeed Rahimi & Mansour Beglou, 2014. "PROMETHEE II and fuzzy AHP: an enhanced GIS-based landslide susceptibility mapping," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 73(1), pages 77-95, August.
    12. Lukic RADOJKO, 2021. "Analysis Of Trade Efficiency In Serbia Based On The Promethee Method," Business Excellence and Management, Faculty of Management, Academy of Economic Studies, Bucharest, Romania, vol. 11(4), pages 19-30, December.
    13. Francisco González-Gómez & Andrés J. Picazo-Tadeo, 2010. "Can We Be Satisfied With Our Football Team? Evidence From Spanish Professional Football," Journal of Sports Economics, , vol. 11(4), pages 418-442, August.
    14. Chatzinikolaou, Parthena & Raggi, Meri & Viaggi, Davide, 2015. "The evaluation of Ecosystem Services production: an application in the Province of Ferrara," Bio-based and Applied Economics Journal, Italian Association of Agricultural and Applied Economics (AIEAA), vol. 4(3), pages 1-25, December.
    15. Corrente, S. & Figueira, J.R. & Greco, S., 2021. "Pairwise comparison tables within the deck of cards method in multiple criteria decision aiding," European Journal of Operational Research, Elsevier, vol. 291(2), pages 738-756.
    16. Fiona Carmichael & Giambattista Rossi & Denis Thomas, 2017. "Production, Efficiency, and Corruption in Italian Serie A Football," Journal of Sports Economics, , vol. 18(1), pages 34-57, January.
    17. 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.
    18. Javier Cifuentes‐Faura, 2022. "Efficiency and transparency of Spanish football clubs: A non‐parametric approach," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 43(6), pages 1850-1860, September.
    19. Halil İbrahim KESKİN & Hakan ÖNDES, 2020. "Measuring the Efficiency of Selected European Football Clubs: DEA and Panel Tobit Model," Sosyoekonomi Journal, Sosyoekonomi Society, issue 28(43).
    20. Ana Pérez-González & Pablo Carlos & Elisa Alén, 2022. "An analysis of the efficiency of football clubs in the Spanish First Division through a two-stage relational network DEA model: a simulation study," Operational Research, Springer, vol. 22(3), pages 3089-3112, July.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:operea:v:19:y:2019:i:2:d:10.1007_s12351-017-0300-2. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.