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 conferencePaperpeer-review

Abstract

Mega events have witnessed a significant development in terms of content, methods, system, policy, and funding alongside technology development. This study 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 events 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 of 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
Publication statusPublished - 20 Jun 2024
EventEvent Management Conference - University of Central Florida, Orlando, United States
Duration: 17 Jun 202420 Jun 2024
https://eventmanagementconference.com

Academic conference

Academic conferenceEvent Management Conference
Country/TerritoryUnited States
CityOrlando
Period17/06/2420/06/24
Internet address

Keywords

  • Leadership-AI Interaction

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