IDEAS home Printed from https://ideas.repec.org/a/spr/syspar/v31y2018i3d10.1007_s11213-017-9425-8.html
   My bibliography  Save this article

Systemic Analysis of the Soccer (Football) Value Chain: Learning from the Brazilian Context

Author

Listed:
  • Rosiane Serrano

    (Federal Institute of Education, Science and Technology of the Rio Grande do Sul
    Universidade do Vale do Rio dos Sinos-UNISINOS)

  • Daniel Pacheco Lacerda

    (Universidade do Vale do Rio dos Sinos-UNISINOS)

  • Ricardo Augusto Cassel

    (Universidade Federal do Rio Grande do Sul – UFRGS)

  • Luis Henrique Rodrigues

    (Instituto de Estudos Sistêmicos do Brasil- IESB)

  • Priscila Ferraz Soares

    (Immunobiologicals’ Technology Graduate Program, Instituto de Tecnologia em Imunobiológicos – Bio-Manguinhos)

Abstract

Soccer (football) is identified as the most popular sport in the world with a high turnover of economic-financial resources. The different segments of the soccer (football) value chain exert mutual influence on the variables that rule the dynamics of this sector. In this sense it is necessary to identify the variables that represent the soccer (football) value chain systemically; to understand the interrelationships between these variables, the main difficulties derived from this interrelationship and to point out variables that require actions to increment the results of the soccer (football) value chain as a whole. Hence, this study applied a semi-structured questionnaire with open-ended questions about the problems and leveraging variables that exist in this sports modality. A causal linkage diagram was elaborated based on the answers to the interviews, showing the systemic structure of the soccer (football) value chain in Brazil, whose premise it is to identify the existing circularities and the possibly existing points of leverage. The systemic structure pointed to the economic participation of soccer (football) in the Gross Domestic Product as a central variable to be leveraged, which tends to synthetize the results of the joint action of the actors in this chain. Furthermore, the variables that may limit or amplify the growth were identified. The systemic structure showed that the soccer (football) commodity chain is complex because of the great number of variables and interrelationships needed to represent its dynamics. The relationship between the actors also proved to be a factor of impact on economic and social development.

Suggested Citation

  • Rosiane Serrano & Daniel Pacheco Lacerda & Ricardo Augusto Cassel & Luis Henrique Rodrigues & Priscila Ferraz Soares, 2018. "Systemic Analysis of the Soccer (Football) Value Chain: Learning from the Brazilian Context," Systemic Practice and Action Research, Springer, vol. 31(3), pages 269-291, June.
    • Handle: RePEc:spr:syspar:v:31:y:2018:i:3:d:10.1007_s11213-017-9425-8
    DOI: 10.1007/s11213-017-9425-8
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s11213-017-9425-8
    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/s11213-017-9425-8?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. Rachel Freeman & Mike Yearworth & Chris Preist, 2016. "Revisiting Jevons’ Paradox with System Dynamics: Systemic Causes and Potential Cures," Journal of Industrial Ecology, Yale University, vol. 20(2), pages 341-353, April.
    2. Unknown, 2005. "Forward," 2005 Conference: Slovenia in the EU - Challenges for Agriculture, Food Science and Rural Affairs, November 10-11, 2005, Moravske Toplice, Slovenia 183804, Slovenian Association of Agricultural Economists (DAES).
    3. Vaccaro, Guilherme Luís Roehe & Pohlmann, Christopher & Lima, André Cirne & dos Santos, Manoela Silveira & de Souza, Cristina Botti & Azevedo, Debora, 2010. "Prospective scenarios for the biodiesel chain of a Brazilian state," Renewable and Sustainable Energy Reviews, Elsevier, vol. 14(4), pages 1263-1272, May.
    4. Mingers, John & White, Leroy, 2010. "A review of the recent contribution of systems thinking to operational research and management science," European Journal of Operational Research, Elsevier, vol. 207(3), pages 1147-1161, December.
    5. Oecd, 2009. "Climate Change and Africa," OECD Journal: General Papers, OECD Publishing, vol. 2009(1), pages 5-35.
    Full references (including those not matched with items on IDEAS)

    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. Mingers, John, 2015. "Helping business schools engage with real problems: The contribution of critical realism and systems thinking," European Journal of Operational Research, Elsevier, vol. 242(1), pages 316-331.
    2. Dace, Elina & Bazbauers, Gatis & Berzina, Alise & Davidsen, Pål I., 2014. "System dynamics model for analyzing effects of eco-design policy on packaging waste management system," Resources, Conservation & Recycling, Elsevier, vol. 87(C), pages 175-190.
    3. Pilar Lopez-Llompart & G. Mathias Kondolf, 2016. "Encroachments in floodways of the Mississippi River and Tributaries Project," 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. 81(1), pages 513-542, March.
    4. Michelle Sheran Sylvester, 2007. "The Career and Family Choices of Women: A Dynamic Analysis of Labor Force Participation, Schooling, Marriage and Fertility Decisions," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 10(3), pages 367-399, July.
    5. DAVID M. BLAU & WILBERT van der KLAAUW, 2013. "What Determines Family Structure?," Economic Inquiry, Western Economic Association International, vol. 51(1), pages 579-604, January.
    6. Afanasyev, Dmitriy O. & Fedorova, Elena A. & Popov, Viktor U., 2015. "Fine structure of the price–demand relationship in the electricity market: Multi-scale correlation analysis," Energy Economics, Elsevier, vol. 51(C), pages 215-226.
    7. Peter Viggo Jakobsen, 2009. "Small States, Big Influence: The Overlooked Nordic Influence on the Civilian ESDP," Journal of Common Market Studies, Wiley Blackwell, vol. 47(1), pages 81-102, January.
    8. Giuseppe Maggio & Marina Mastrorillo & Nicholas J. Sitko, 2022. "Adapting to High Temperatures: Effect of Farm Practices and Their Adoption Duration on Total Value of Crop Production in Uganda," American Journal of Agricultural Economics, John Wiley & Sons, vol. 104(1), pages 385-403, January.
    9. Gupta, Rishabh & Mishra, Ashok, 2019. "Climate change induced impact and uncertainty of rice yield of agro-ecological zones of India," Agricultural Systems, Elsevier, vol. 173(C), pages 1-11.
    10. Billio, Monica & Casarin, Roberto & Osuntuyi, Anthony, 2016. "Efficient Gibbs sampling for Markov switching GARCH models," Computational Statistics & Data Analysis, Elsevier, vol. 100(C), pages 37-57.
    11. Jan Babecký & Fabrizio Coricelli & Roman Horváth, 2009. "Assessing Inflation Persistence: Micro Evidence on an Inflation Targeting Economy," Czech Journal of Economics and Finance (Finance a uver), Charles University Prague, Faculty of Social Sciences, vol. 59(2), pages 102-127, June.
    12. Lloyd, S. P., 2017. "Unconventional Monetary Policy and the Interest Rate Channel: Signalling and Portfolio Rebalancing," Cambridge Working Papers in Economics 1735, Faculty of Economics, University of Cambridge.
    13. Melissa Dell & Benjamin F. Jones & Benjamin A. Olken, 2014. "What Do We Learn from the Weather? The New Climate-Economy Literature," Journal of Economic Literature, American Economic Association, vol. 52(3), pages 740-798, September.
    14. Ichiro Fukunaga, 2007. "Imperfect Common Knowledge, Staggered Price Setting, and the Effects of Monetary Policy," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 39(7), pages 1711-1739, October.
    15. Albertazzi, Ugo & Gambacorta, Leonardo, 2009. "Bank profitability and the business cycle," Journal of Financial Stability, Elsevier, vol. 5(4), pages 393-409, December.
    16. Beck, Thorsten & Demirgüç-Kunt, Asli & Merrouche, Ouarda, 2013. "Islamic vs. conventional banking: Business model, efficiency and stability," Journal of Banking & Finance, Elsevier, vol. 37(2), pages 433-447.
    17. Vermaak, Herman Jacobus & Kusakana, Kanzumba & Koko, Sandile Philip, 2014. "Status of micro-hydrokinetic river technology in rural applications: A review of literature," Renewable and Sustainable Energy Reviews, Elsevier, vol. 29(C), pages 625-633.
    18. Jinho Bae & Chang-Jin Kim & Dong Kim, 2012. "The evolution of the monetary policy regimes in the U.S," Empirical Economics, Springer, vol. 43(2), pages 617-649, October.
    19. McMahon, Rob, 2020. "Co-developing digital inclusion policy and programming with indigenous partners: Interventions from Canada," Internet Policy Review: Journal on Internet Regulation, Alexander von Humboldt Institute for Internet and Society (HIIG), Berlin, vol. 9(2), pages 1-26.
    20. George W. Evans & Seppo Honkapohja, 2009. "Robust Learning Stability with Operational Monetary Policy Rules," Central Banking, Analysis, and Economic Policies Book Series, in: Klaus Schmidt-Hebbel & Carl E. Walsh & Norman Loayza (Series Editor) & Klaus Schmidt-Hebbel (Series (ed.),Monetary Policy under Uncertainty and Learning, edition 1, volume 13, chapter 5, pages 145-170, Central Bank of Chile.

    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:syspar:v:31:y:2018:i:3:d:10.1007_s11213-017-9425-8. 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.