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Lookup NU author(s): Professor Charles DennisORCiD
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© 2024, Emerald Publishing Limited. Purpose: The launch of ChatGPT has brought the large language model (LLM)-based generative artificial intelligence (GAI) into the spotlight, triggering the interests of various stakeholders to seize the possible opportunities implicated by it. Nevertheless, there are also challenges that the stakeholders should observe when they are considering the potential of GAI. Given this backdrop, this study presents the viewpoints gathered from various subject experts on six identified areas. Design/methodology/approach: Through an expert-based approach, this paper gathers the viewpoints of various subject experts on the identified areas of tourism and hospitality, marketing, retailing, service operations, manufacturing and healthcare. Findings: The subject experts first share an overview of the use of GAI, followed by the relevant opportunities and challenges in implementing GAI in each identified area. Afterwards, based on the opportunities and challenges, the subject experts propose several research agendas for the stakeholders to consider. Originality/value: This paper serves as a frontier in exploring the opportunities and challenges implicated by the GAI in six identified areas that this emerging technology would considerably influence. It is believed that the viewpoints offered by the subject experts would enlighten the stakeholders in the identified areas.
Author(s): Ooi K-B, Koohang A, Aw EC-X, Cham T-H, Cobanoglu C, Dennis C, Dwivedi YK, Hew J-J, Linton Kelly H, Hughes L, Lin C-Y, Mishra A, Phau I, Raman R, Sigala M, Tang Y-C, Wong L-W, Tan GW-H
Publication type: Article
Publication status: Published
Journal: Industrial Management and Data Systems
Year: 2025
Volume: 125
Issue: 2
Pages: 417-432
Print publication date: 24/01/2025
Online publication date: 24/12/2024
Acceptance date: 31/05/2024
ISSN (print): 0263-5577
ISSN (electronic): 1758-5783
Publisher: Emerald Publishing Limited
URL: https://doi.org/10.1108/IMDS-10-2023-0703
DOI: 10.1108/IMDS-10-2023-0703
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