Leadership-artificial intelligence interaction for sustainable mega events: rethinking the current and future research and practices

Majd Megheirkouni, Katherine Baxter, Arnt Kyawt Ni, Yanguo Jing

Research output: Contribution to journalArticlepeer-review

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.
Original languageEnglish
JournalEvent Management
DOIs
Publication statusE-pub ahead of print - 10 Feb 2025

Keywords

  • functions
  • influencing factors
  • leadership-artificial intelligence interaction
  • methods
  • needs
  • outcome
  • reasons

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