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May 14, 2026The International Journal of Sport and Society0 citationsOpen Access

Measuring the Financial Impact of Fan Sentiment on Player Transfers

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KAKushagra AgarwalSKSunita Kumar

Key Points

  • This study aims to understand how fan sentiment influences commercial revenue via player transfers.
  • Survey data from 359 fans of Big Six clubs in the English Premier League were analyzed.
  • Partial Least Squares Structural Equation Modeling (PLS-SEM) was employed to assess direct and indirect influences.
  • A structural model tested the relationships among fan sentiment, social media engagement, purchase intention, and commercial revenue.
  • Higher fan sentiment correlates positively with increased purchase intention, leading to an uptick in commercial revenue.
  • Social media engagement acts as a mediator between fan sentiment and purchase intention, enhancing revenue generation.
  • Evidence indicates that emotional responses to player transfers significantly influence fan purchasing behaviors.

Abstract

The Big Six clubs in the English Premier League (EPL) made investments of more than £3.19 billion to acquire players in 2025. This is a staggering number that raises a fundamental question: How are these investments making money in return? Existing research has examined fan identification and purchase behavior separately. It could be said that there is a lack of a comprehensive understanding of the pathways linking fans’ emotional responses to transfers with revenue generation. This study aims to fill that gap. We investigate whether social media engagement directly drives commercial revenue or whether it works indirectly through mediation by first building purchase intention. The distinction seems to hold significant strategic implications for clubs. The theoretical foundation is grounded in Social Exchange Theory (SET), Self-Expansion Theory, and Global Consumer Culture Theory (GCCT), which leads to the development of a structural model that tests six hypothesized relationships among fan sentiment, social media engagement, purchase intention, and commercial revenue. Methodologically, Partial Least Squares Structural Equation Modeling (PLS-SEM) with formative measurements was chosen. Survey data from 359 Big Six clubs football fans were studied to map, both direct and indirect influence pathways. The formative approach allows us to better capture the multidimensional, composite nature of each construct rather than treating them as single-dimensional. This analysis sequentially examines how emotional reaction to player transfers and fan sentiment through digital behaviors and purchase decisions ultimately affect commercial revenues. The findings aim to deepen the theoretical understanding of the fan-to-buyer conversion process while providing evidence-based guidance to the clubs for optimizing their transfer investment strategies.

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Cite This Study

Agarwal et al. (2026) studied this question.

synapsesocial.com/papers/6a05680ea550a87e60a2074chttps://doi.org/10.18848/2152-7857/cgp/a404
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