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Unveiling the potential of generative artificial intelligence: a multidimensional journey into the future
Journal
Industrial Management & Data Systems
ISSN
0263-5577
Date Issued
2024-12-24
Author(s)
Keng-Boon Ooi
Alex Koohang
Eugene Cheng-Xi Aw
Cihan Cobanoglu
Charles Dennis
Yogesh K Dwivedi
Heather Linton Kelly
Laurie Hughes
Chieh-Yu Lin
Anubhav Mishra
Ian Phau
Ramakrishnan Raman
Marianna Sigala
Yun-Chia Tang
Lai-Wan Wong
Garry Wei-Han Tan
DOI
10.1108/IMDS-10-2023-0703
Abstract
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. © 2024, Emerald Publishing Limited.
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