Leadership-Artificial Intelligence Interaction for Sustainable Mega Events: Rethinking the Current and Future Research and Practices

Megheirkouni, Majd and Baxter, Katherine and Ni, Arnt and Jing, Yanguo (2025) Leadership-Artificial Intelligence Interaction for Sustainable Mega Events: Rethinking the Current and Future Research and Practices. Event Management. ISSN 1525-9951

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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 synthesising the current literature on leadership and AI technologies. We propose a new definition of leadership-AI interaction in mega events 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, perceived needs, reasons, methods, influencing factors, and outcomes.

Item Type:	Article
Keywords:	functions; influencing factors; leadership-artificial intelligence interaction; methods; needs; outcome; reasons
Faculty / Department:	Faculty of Business, Law and Criminology > Liverpool Hope Business School
SWORD Depositor:	RISE Symplectic
Depositing User:	RISE Symplectic
Date Deposited:	17 Dec 2025 16:07
Last Modified:	17 Dec 2025 16:07
URI:	https://hira.hope.ac.uk/id/eprint/4817

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