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The impact of technology on the future of football – A global Delphi study

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  • Beiderbeck, Daniel
  • Evans, Nicolas
  • Frevel, Nicolas
  • Schmidt, Sascha L.

Abstract

The speed of technological innovation in football has drastically increased in recent years. Therefore, we examine the impact of (digital) technologies on the future of association football up until the year 2026. In this regard, we also take into account diverging socio-economic circumstances in different parts of the world. We use a two-round sequential Delphi method to gather both quantitative and qualitative data from an expert panel consisting of 85 technical directors from official FIFA member associations. In total, we test ten future-oriented projections and collect information about participants' work experience, sentiments, as well as their individual attitude towards technology. While experts generally agree that the importance of technology in football will continue to increase, we find differences in perception among sub-groups of experts (e.g., smaller associations express an even higher desire for technologies to be implemented) and identify two distinct future scenarios. Thus, our study sheds light on multifaceted opinions towards technology diffusion in football. This unprecedented global perspective allows governing bodies to understand the industry's expectations, desires, and reservations, which helps building a better understanding for the needs within the global football ecosystems with respect to emerging technology innovations.

Suggested Citation

  • Beiderbeck, Daniel & Evans, Nicolas & Frevel, Nicolas & Schmidt, Sascha L., 2023. "The impact of technology on the future of football – A global Delphi study," Technological Forecasting and Social Change, Elsevier, vol. 187(C).
  • Handle: RePEc:eee:tefoso:v:187:y:2023:i:c:s0040162522007077
    DOI: 10.1016/j.techfore.2022.122186
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    1. Vanessa Ratten, 2019. "Sports Technology and Innovation," Springer Books, Springer, number 978-3-319-75046-0, June.
    2. Belton, Ian & MacDonald, Alice & Wright, George & Hamlin, Iain, 2019. "Improving the practical application of the Delphi method in group-based judgment: A six-step prescription for a well-founded and defensible process," Technological Forecasting and Social Change, Elsevier, vol. 147(C), pages 72-82.
    3. Flostrand, Andrew & Pitt, Leyland & Bridson, Shannon, 2020. "The Delphi technique in forecasting– A 42-year bibliographic analysis (1975–2017)," Technological Forecasting and Social Change, Elsevier, vol. 150(C).
    4. Wladimir Andreff, 2001. "The Correlation between Economic Underdevelopment and Sport," Post-Print halshs-00274657, HAL.
    5. Barrios, Maite & Guilera, Georgina & Nuño, Laura & Gómez-Benito, Juana, 2021. "Consensus in the delphi method: What makes a decision change?," Technological Forecasting and Social Change, Elsevier, vol. 163(C).
    6. Förster, Bernadette & von der Gracht, Heiko, 2014. "Assessing Delphi panel composition for strategic foresight — A comparison of panels based on company-internal and external participants," Technological Forecasting and Social Change, Elsevier, vol. 84(C), pages 215-229.
    7. Beiderbeck, Daniel & Frevel, Nicolas & von der Gracht, Heiko A. & Schmidt, Sascha L. & Schweitzer, Vera M., 2021. "The impact of COVID-19 on the European football ecosystem – A Delphi-based scenario analysis," Technological Forecasting and Social Change, Elsevier, vol. 165(C).
    8. Saha Atanu & H. Alan Love & Robert Schwart, 1994. "Adoption of Emerging Technologies Under Output Uncertainty," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 76(4), pages 836-846.
    9. Warth, Johannes & von der Gracht, Heiko A. & Darkow, Inga-Lena, 2013. "A dissent-based approach for multi-stakeholder scenario development — The future of electric drive vehicles," Technological Forecasting and Social Change, Elsevier, vol. 80(4), pages 566-583.
    10. Roßmann, Bernhard & Canzaniello, Angelo & von der Gracht, Heiko & Hartmann, Evi, 2018. "The future and social impact of Big Data Analytics in Supply Chain Management: Results from a Delphi study," Technological Forecasting and Social Change, Elsevier, vol. 130(C), pages 135-149.
    11. Steve J. Bickley & Ho Fai Chan & Sascha L. Schmidt & Benno Torgler, 2021. "Quantum-Sapiens: The Quantum Bases for Human Expertise, Knowledge, and Problem-Solving (Extended Version with Applications)," CREMA Working Paper Series 2021-14, Center for Research in Economics, Management and the Arts (CREMA).
    12. Spickermann, Alexander & Zimmermann, Martin & von der Gracht, Heiko A., 2014. "Surface- and deep-level diversity in panel selection — Exploring diversity effects on response behaviour in foresight," Technological Forecasting and Social Change, Elsevier, vol. 85(C), pages 105-120.
    13. Aengenheyster, Stefan & Cuhls, Kerstin & Gerhold, Lars & Heiskanen-Schüttler, Maria & Huck, Jana & Muszynska, Monika, 2017. "Real-Time Delphi in practice — A comparative analysis of existing software-based tools," Technological Forecasting and Social Change, Elsevier, vol. 118(C), pages 15-27.
    14. Winkler, Jens & Moser, Roger, 2016. "Biases in future-oriented Delphi studies: A cognitive perspective," Technological Forecasting and Social Change, Elsevier, vol. 105(C), pages 63-76.
    15. Rowe, Gene & Wright, George, 1999. "The Delphi technique as a forecasting tool: issues and analysis," International Journal of Forecasting, Elsevier, vol. 15(4), pages 353-375, October.
    16. Ngo, Liem Viet & O'Cass, Aron, 2013. "Innovation and business success: The mediating role of customer participation," Journal of Business Research, Elsevier, vol. 66(8), pages 1134-1142.
    17. Devansh Patel & Dhwanil Shah & Manan Shah, 2020. "The Intertwine of Brain and Body: A Quantitative Analysis on How Big Data Influences the System of Sports," Annals of Data Science, Springer, vol. 7(1), pages 1-16, March.
    18. von der Gracht, Heiko A., 2012. "Consensus measurement in Delphi studies," Technological Forecasting and Social Change, Elsevier, vol. 79(8), pages 1525-1536.
    19. Fariborz Damanpour & Kathryn A. Szabat & William M. Evan, 1989. "The Relationship Between Types Of Innovation And Organizational Performance," Journal of Management Studies, Wiley Blackwell, vol. 26(6), pages 587-602, November.
    20. Lago-Peñas Carlos & Rey Ezequiel & Kalén Anton, 2019. "How does Video Assistant Referee (VAR) modify the game in elite soccer?," International Journal of Performance Analysis in Sport, Taylor & Francis Journals, vol. 19(4), pages 646-653, July.
    21. Bonaccorsi, Andrea & Apreda, Riccardo & Fantoni, Gualtiero, 2020. "Expert biases in technology foresight. Why they are a problem and how to mitigate them," Technological Forecasting and Social Change, Elsevier, vol. 151(C).
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