Browsing by Author "Martin, Jeffrey"
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- AI-driven role transformation and integration : a study on potential and actual impact in sport organizationsPublication . Martin, Jeffrey; Fioravante, RosaIn an era where artificial intelligence (AI) is reshaping industries, the impact of AI on sports organizations is still under-researched, particularly in terms of how it is changing professional roles and decision-making processes. This study looks at the dynamics of AI integration in the sports sector and uses a qualitative approach using the Gioia method to gain new insights into workforce transformation. It reveals that while AI significantly increases operational efficiency through the automation of routine tasks such as data analysis and video tagging, its adoption is being held back by persistent financial, technical and cultural barriers. The findings highlight an urgent need for hybrid skills that combine technical proficiency with domain-specific knowledge, underscoring the urgent requirement for workforce adaptation. This research not only contributes to the academic discourse on AI and organizational change but also provides a strategic framework for sports management practitioners by highlighting the balance between exploiting technological advances and protecting invaluable human expertise. By addressing these key issues, the study identifies ways to navigate the evolving landscape of AI in sport, with implications that extend across a multitude of data-driven industries.
