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

  • Keng Boon Ooi
  • , Alex Koohang
  • , Eugene Cheng Xi Aw
  • , Tat Huei Cham
  • , Cihan Cobanoglu
  • , Charles Dennis
  • , Yogesh K. Dwivedi
  • , Jun Jie Hew
  • , 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*
  • *Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

10 Scopus citations

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.

Original languageEnglish
Pages (from-to)417-432
Number of pages16
JournalIndustrial Management and Data Systems
Volume125
Issue number2
DOIs
StatePublished - 24 Jan 2025
Externally publishedYes

Bibliographical note

Publisher Copyright:
© 2024, Emerald Publishing Limited.

Keywords

  • Artificial intelligence
  • ChatGPT
  • Generative artificial intelligence
  • Healthcare
  • Hospitality
  • Large language model
  • Manufacturing
  • Marketing
  • Retailing
  • Service operations
  • Tourism

ASJC Scopus subject areas

  • Management Information Systems
  • Industrial relations
  • Computer Science Applications
  • Strategy and Management
  • Industrial and Manufacturing Engineering

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