Abstract
Mega-events have witnessed significant developments in terms of content, methods, system, policy, and funding alongside technology development. This study aims to propose a conceptual framework that brings clarity to the role of leadership–artificial intelligence (AI) interaction by reviewing and synthesizing the current literature on leadership and AI technologies. We propose a new definition of leadership–AI interaction in mega-event settings and suggest a model using particular questions of what leadership–AI interaction does, what it needs, why we use leadership–AI interaction, how we use it, what influences its use, and what benefits can be achieved from its use. We attempt to answer these inquiries by reviewing previous research on the following variables: functions, per ceived needs, reasons, methods, influencing factors, and outcomes.
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Megheirkouni, M., Baxter, K., Ni, A., & Jing, Y. (2026). Leadership–Artificial Intelligence Interaction for Sustainable Mega-Events: Rethinking the Current and Future Research and Practices. Event Management, 30(2), 295–307. https://doi.org/10.3727/152599525X17385344274487
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