TY - JOUR
T1 - Leadership-artificial intelligence interaction for sustainable mega events
T2 - rethinking the current and future research and practices
AU - Megheirkouni, Majd
AU - Baxter, Katherine
AU - Ni, Arnt Kyawt
AU - Jing, Yanguo
PY - 2025/2/10
Y1 - 2025/2/10
N2 - 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.
AB - 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.
KW - functions
KW - influencing factors
KW - leadership-artificial intelligence interaction
KW - methods
KW - needs
KW - outcome
KW - reasons
UR - https://www.mendeley.com/catalogue/8459bbca-0466-305d-bfeb-5cf79f4e55d6/
U2 - 10.3727/152599525X17385344274487
DO - 10.3727/152599525X17385344274487
M3 - Article
SN - 1525-9951
JO - Event Management
JF - Event Management
ER -