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“So what if ChatGPT wrote it?” Multidisciplinary perspectives on opportunities, challenges and implications of generative conversational AI for research, practice and policy

Dwivedi, Yogesh K.; Kshetri, Nir; Hughes, Laurie; Slade, Emma Louise; Jeyaraj, Anand; Kar, Arpan Kumar; Baabdullah, Abdullah M.; Koohang, Alex; Raghavan, Vishnupriya; Ahuja, Manju; Albanna, Hanaa; Albashrawi, Mousa Ahmad; Al-Busaidi, Adil S.; Balakrishnan, Janarthanan; Barlette, Yves; Basu, Sriparna; Bose, Indranil; Brooks, Laurence; Buhalis, Dimitrios; Carter, Lemuria; Chowdhury, Soumyadeb; Crick, Tom; Cunningham, Scott W.; Davies, Gareth H.; Davison, Robert M.; Dé, Rahul; Dennehy, Denis; Duan, Yanqing; Dubey, Rameshwar; Dwivedi, Rohita; Edwards, John S.; Flavián, Carlos; Gauld, Robin; Grover, Varun; Hu, Mei Chih; Janssen, Marijn; Jones, Paul; Junglas, Iris; Khorana, Sangeeta; Kraus, Sascha; Larsen, Kai R.; Latreille, Paul; Laumer, Sven; Malik, F. Tegwen; Mardani, Abbas; Mariani, Marcello; Mithas, Sunil; Mogaji, Emmanuel; Nord, Jeretta Horn; O’Connor, Siobhan; Okumus, Fevzi; Pagani, Margherita; Pandey, Neeraj; Papagiannidis, Savvas; Pappas, Ilias O.; Pathak, Nishith; Pries-Heje, Jan;...

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Yogesh K. Dwivedi

Nir Kshetri

Laurie Hughes

Emma Louise Slade

Anand Jeyaraj

Arpan Kumar Kar

Abdullah M. Baabdullah

Alex Koohang

Vishnupriya Raghavan

Manju Ahuja

Hanaa Albanna

Mousa Ahmad Albashrawi

Adil S. Al-Busaidi

Janarthanan Balakrishnan

Yves Barlette

Sriparna Basu

Indranil Bose

Laurence Brooks

Dimitrios Buhalis

Lemuria Carter

Soumyadeb Chowdhury

Tom Crick

Scott W. Cunningham

Gareth H. Davies

Robert M. Davison

Rahul Dé

Denis Dennehy

Yanqing Duan

Rameshwar Dubey

Rohita Dwivedi

John S. Edwards

Carlos Flavián

Robin Gauld

Varun Grover

Mei Chih Hu

Marijn Janssen

Paul Jones

Iris Junglas

Sangeeta Khorana

Sascha Kraus

Kai R. Larsen

Paul Latreille

Sven Laumer

F. Tegwen Malik

Abbas Mardani

Marcello Mariani

Sunil Mithas

Emmanuel Mogaji

Jeretta Horn Nord

Siobhan O’Connor

Fevzi Okumus

Margherita Pagani

Neeraj Pandey

Savvas Papagiannidis

Ilias O. Pappas

Nishith Pathak

Jan Pries-Heje

Ramakrishnan Raman

Nripendra P. Rana

Sven Volker Rehm

Samuel Ribeiro-Navarrete

Alexander Richter

Frantz Rowe

Suprateek Sarker

Manoj Kumar Tiwari

Wil van der Aalst

Viswanath Venkatesh

Giampaolo Viglia

Michael Wade

Paul Walton

Jochen Wirtz

Ryan Wright



Transformative artificially intelligent tools, such as ChatGPT, designed to generate sophisticated text indistinguishable from that produced by a human, are applicable across a wide range of contexts. The technology presents opportunities as well as, often ethical and legal, challenges, and has the potential for both positive and negative impacts for organisations, society, and individuals. Offering multi-disciplinary insight into some of these, this article brings together 43 contributions from experts in fields such as computer science, marketing, information systems, education, policy, hospitality and tourism, management, publishing, and nursing. The contributors acknowledge ChatGPT’s capabilities to enhance productivity and suggest that it is likely to offer significant gains in the banking, hospitality and tourism, and information technology industries, and enhance business activities, such as management and marketing. Nevertheless, they also consider its limitations, disruptions to practices, threats to privacy and security, and consequences of biases, misuse, and misinformation. However, opinion is split on whether ChatGPT’s use should be restricted or legislated. Drawing on these contributions, the article identifies questions requiring further research across three thematic areas: knowledge, transparency, and ethics; digital transformation of organisations and societies; and teaching, learning, and scholarly research. The avenues for further research include: identifying skills, resources, and capabilities needed to handle generative AI; examining biases of generative AI attributable to training datasets and processes; exploring business and societal contexts best suited for generative AI implementation; determining optimal combinations of human and generative AI for various tasks; identifying ways to assess accuracy of text produced by generative AI; and uncovering the ethical and legal issues in using generative AI across different contexts.


Dwivedi, Y. K., Kshetri, N., Hughes, L., Slade, E. L., Jeyaraj, A., Kar, A. K., …Wright, R. (2023). “So what if ChatGPT wrote it?” Multidisciplinary perspectives on opportunities, challenges and implications of generative conversational AI for research, practice and policy. International Journal of Information Management, 71, Article 102642.

Journal Article Type Article
Acceptance Date Mar 1, 2023
Online Publication Date Mar 11, 2023
Publication Date 2023-08
Deposit Date Mar 13, 2023
Publicly Available Date Mar 15, 2023
Journal International Journal of Information Management
Print ISSN 0268-4012
Publisher Elsevier BV
Peer Reviewed Not Peer Reviewed
Volume 71
Article Number 102642
Keywords Conversational agent; Generative artificial intelligence; Generative AI; ChatGPT; Large language models
Public URL
Publisher URL


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