Artificial Intelligence is transforming sports marketing by enabling real-time personalization, predictive insights, and new forms of fan engagement. This thesis investigates how AI is applied in the field, guided by three research questions: how sports marketing has evolved with technological change, what benefits and concerns characterize AI adoption, and how AI shapes strategies and outcomes in the field. A scoping review was conducted, combining peer-reviewed studies with industry reports to capture both academic and practical perspectives. The findings highlight AI’s potential to enhance engagement, decision-making, and value creation, while also raising ethical and legal challenges such as data privacy and algorithmic bias. By synthesizing theory with real-world cases, the thesis contributes to digital transformation research and argues that AI should be understood not only as a technological tool but as a strategic driver of the future of sports marketing.
Artificial Intelligence in Sports Marketing
ROVEDA, MATTEO
2024/2025
Abstract
Artificial Intelligence is transforming sports marketing by enabling real-time personalization, predictive insights, and new forms of fan engagement. This thesis investigates how AI is applied in the field, guided by three research questions: how sports marketing has evolved with technological change, what benefits and concerns characterize AI adoption, and how AI shapes strategies and outcomes in the field. A scoping review was conducted, combining peer-reviewed studies with industry reports to capture both academic and practical perspectives. The findings highlight AI’s potential to enhance engagement, decision-making, and value creation, while also raising ethical and legal challenges such as data privacy and algorithmic bias. By synthesizing theory with real-world cases, the thesis contributes to digital transformation research and argues that AI should be understood not only as a technological tool but as a strategic driver of the future of sports marketing.| File | Dimensione | Formato | |
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https://hdl.handle.net/20.500.12608/94677