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

Title:
Leadership-artificial intelligence interaction for sustainable mega events: rethinking the current and future research and practices
Publisher Information:
Cognizant Communication Corporation
Publication Year:
2025
Collection:
University of Cumbria: Insight
Document Type:
Fachzeitschrift article in journal/newspaper
File Description:
application/pdf
Language:
English
Relation:
https://insight.cumbria.ac.uk/id/eprint/8875/1/Jing_LeadershipArtificialIntelligence_AAM.pdf; Megheirkouni, Majd, Baxter, Katherine, Ni, Arnt and Jing, Yanguo ORCID logo orcid:0000-0001-9581-4215 (2025) Leadership-artificial intelligence interaction for sustainable mega events: rethinking the current and future research and practices. Event Management .
DOI:
10.3727/152599525X17385344274487
Accession Number:
edsbas.6FFC6490
Database:
BASE

Weitere Informationen

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.