Unveiling the potential of generative artificial intelligence: A multidimensional journey into the future

Author Identifier

Laurie Hughes: https://orcid.org/0000-0002-0956-0608

Document Type

Journal Article

Publication Title

Industrial Management and Data Systems

Volume

125

Issue

2

First Page

417

Last Page

432

Publisher

Emerald

School

School of Business and Law

Comments

Ooi, K. B., Koohang, A., Aw, E. C. X., Cham, T. H., Cobanoglu, C., Dennis, C., ... & Tan, G. W. H. (2025). Unveiling the potential of generative artificial intelligence: A multidimensional journey into the future. Industrial Management & Data Systems, 125(2), 417-432. https://doi.org/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.

DOI

10.1108/IMDS-10-2023-0703

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