Megheirkouni, Majd, Baxter, Katherine, Ni, Arnt and Jing, Yanguo
ORCID: https://orcid.org/0000-0001-9581-4215
(2025)
Leadership-artificial intelligence interaction for sustainable mega events: rethinking the current and future research and practices.
Event Management
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Full text not available from this repository.
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 |
|---|---|
| Journal / Publication Title: | Event Management |
| Publisher: | Cognizant Communication Corporation |
| ISSN: | 1943-4308 |
| Departments: | Institute of Business, Industry and Leadership > Business |
| Additional Information: | Professor Yanguo Jing, Dean for the Institute of Business, Industry and Leadership, University of Cumbria, UK. |
| Depositing User: | Yanguo Jing |
| Date Deposited: | 11 Jun 2025 10:18 |
| Last Modified: | 19 Jun 2025 08:52 |
| URI: | https://insight.cumbria.ac.uk/id/eprint/8875 |
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