ORIGINAL RESEARCH article
Front. Sports Act. Living
Sec. Sports Management, Marketing, and Economics
Volume 7 - 2025 | doi: 10.3389/fspor.2025.1613339
This article is part of the Research TopicInnovation, Technology and Sustainability in Sport Management and EducationView all 4 articles
Exploration of the Path of Digital Technology Empowering the Sustainable Development of Alumni Football -Based on Ordinal Logistic Regression Analysis
Provisionally accepted
- Central China Normal University, Wuhan, China
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In the digital era, professional sports have rapidly embraced technologies such as big data, AI, and the Internet of Things to optimize performance, strategy, and fan engagement. However, the digital transformation of grassroots and amateur level sports remains significantly underdeveloped, posing a major obstacle to the inclusive and sustainable growth of national sports ecosystems.Alumni football, participated in by a vast and growing population of college graduates in China, emerges as a strategic gateway to bridging this digital divide. This study explores how digital technologies can empower the sustainable development of alumni football from the perspectives of data acquisition, processing, and application, with a focus on seven practical digital implementation scenarios. Using a questionnaire survey of 100 university football alumni and ordinal logistic regression analysis, ten digital factors were examined for their influence on alumni football development. The results show that factors such as digital business models and digital team culture significantly contribute to sustainable development, whereas elements like virtual coaching and match data management have relatively limited impact. This study not only addresses an urgent gap in digital grassroots sports integration but also provides replicable insights for policy makers, educators, and industry stakeholders aiming to promote large scale participation, cultural cohesion, and digital inclusion across broader segments of the sports domain.
Keywords: Digital technology, alumni football, sustainable development, Path Exploration, Ordinal logistic regression
Received: 06 Jun 2025; Accepted: 28 Jul 2025.
Copyright: © 2025 Wang. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
* Correspondence: Jiao Wang, Central China Normal University, Wuhan, China
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