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Voting participation and engagement in blockchain-based fan tokens

Author

Listed:
  • Lennart Ante

    (Blockchain Research Lab)

  • Aman Saggu

    (Blockchain Research Lab
    Mahidol University International College)

  • Benjamin Schellinger

    (Blockchain Research Lab)

  • Friedrich-Philipp Wazinski

    (Blockchain Research Lab
    Católica Lisbon School of Business & Economics)

Abstract

This paper investigates the potential of blockchain-based fan tokens, a class of crypto asset that grants holders access to voting on club decisions and other perks, as a mechanism for stimulating democratized decision-making and fan engagement in the sports and esports sectors. By utilizing an extensive dataset of 3576 fan token polls, we reveal that fan tokens engage an average of 4003 participants per poll, representing around 50% of token holders, underscoring their relative effectiveness in boosting fan engagement. The analyses identify significant determinants of fan token poll participation, including levels of voter (dis-)agreement, poll type, sports sectors, demographics, and club-level factors. This study provides valuable stakeholder insights into the current state of adoption and voting trends for fan token polls. It also suggests strategies for increasing fan engagement, thereby optimizing the utility of fan tokens in sports. Moreover, we highlight the broader applicability of fan token principles to any community, brand, or organization focused on customer engagement, suggesting a wider potential for this digital innovation.

Suggested Citation

  • Lennart Ante & Aman Saggu & Benjamin Schellinger & Friedrich-Philipp Wazinski, 2024. "Voting participation and engagement in blockchain-based fan tokens," Electronic Markets, Springer;IIM University of St. Gallen, vol. 34(1), pages 1-23, December.
    • Handle: RePEc:spr:elmark:v:34:y:2024:i:1:d:10.1007_s12525-024-00709-z
    DOI: 10.1007/s12525-024-00709-z
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    References listed on IDEAS

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    1. Daniel C. Funk & Jeff James, 2001. "The Psychological Continuum Model: A Conceptual Framework for Understanding an Individual's Psychological Connection to Sport," Sport Management Review, Taylor & Francis Journals, vol. 4(2), pages 119-150, July.
    2. Kevin Filo & Daniel Lock & Adam Karg, 2015. "Sport and social media research: A review," Sport Management Review, Taylor & Francis Journals, vol. 18(2), pages 166-181, April.
    Full references (including those not matched with items on IDEAS)

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    More about this item

    Keywords

    Fan tokens; Blockchain; Cryptocurrency; Sports; Social identity; Governance;
    All these keywords.

    JEL classification:

    • C12 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Hypothesis Testing: General
    • C30 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - General
    • D12 - Microeconomics - - Household Behavior - - - Consumer Economics: Empirical Analysis
    • D22 - Microeconomics - - Production and Organizations - - - Firm Behavior: Empirical Analysis
    • D71 - Microeconomics - - Analysis of Collective Decision-Making - - - Social Choice; Clubs; Committees; Associations
    • D72 - Microeconomics - - Analysis of Collective Decision-Making - - - Political Processes: Rent-seeking, Lobbying, Elections, Legislatures, and Voting Behavior
    • D91 - Microeconomics - - Micro-Based Behavioral Economics - - - Role and Effects of Psychological, Emotional, Social, and Cognitive Factors on Decision Making

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