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

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; Bernd Carsten Stahl; Manoj Kumar Tiwari; Wil van der Aalst; Viswanath Venkatesh; Giampaolo Viglia; Michael Wade; Paul Walton; Jochen Wirtz; Ryan Wright

doi:10.1016/j.ijinfomgt.2023.102642

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

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, Bernd Carsten Stahl, Manoj Kumar Tiwari, Wil van der Aalst, Viswanath Venkatesh, Giampaolo Viglia, Michael Wade, Paul Walton, Jochen Wirtz, Ryan Wright

Business & Management Research Institute (BMRI)

Swansea University
Symbiosis International University
University of North Carolina at Greensboro
University of Bristol
Wright State University
Indian Institute of Technology Delhi
Middle Georgia State University
King Abdulaziz University
NIIT Limited
University of Louisville
Northumbria University
King Fahd University of Petroleum and Minerals
Sultan Qaboos University
National Institute of Technology Tiruchirappalli
Montpellier Business School
FORE School of Management
Indian Institute of Management Ahmedabad
University of Sheffield
Bournemouth University
University of New South Wales
TBS Business School
University of Strathclyde
City University of Hong Kong
Indian Institute of Management Bangalore
Liverpool John Moores University
University of Mumbai
Aston University
University of Zaragoza
University of Otago
University of Arkansas System
Delft University of Technology
College of Charleston
Free University of Bozen-Bolzano
University of Colorado Boulder
Friedrich-Alexander University Erlangen-Nürnberg
Worcester Polytechnic Institute
University of Bologna
University of Reading
University of South Florida
University of Greenwich
Oklahoma State University
University of Central Florida
WSB University in Wrocław
SKEMA Business School
Indian Institute of Management Mumbai
Newcastle University
Norwegian University of Science and Technology
University of Agder
DXC Technologies
Roskilde University
Qatar University
ESIC
Victoria University of Wellington
Nantes Université
University of Virginia
University of Nottingham
RWTH Aachen University
Virginia Polytechnic Institute and State University
University of Aosta Valley
University of Portsmouth
International Institute for Management Development
Capgemini UK Ltd
National University of Singapore

Research output: Contribution to journal › Article › peer-review

3385 Citations (Scopus)

5 Downloads (Pure)

Abstract

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.

Original language	English
Article number	102642
Journal	International Journal of Information Management
Volume	71
DOIs	https://doi.org/10.1016/j.ijinfomgt.2023.102642
Publication status	Published - 11 Mar 2023

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 4 Quality Education

Keywords

Artificial Intelligence
Artificial intelligent
Categories of Businesses
Chatbot
artificial intelligence
human-centred computing
Conversational agent
Generative AI
Large language models
ChatGPT
Generative artificial intelligence

ASJC Scopus subject areas

Management Information Systems
Information Systems
Computer Networks and Communications
Information Systems and Management
Marketing
Library and Information Sciences
Artificial Intelligence

Access to Document

10.1016/j.ijinfomgt.2023.102642

IJIM ChatGPT paper March 2023Final published version, 6.86 MBLicence: CC BY-NC-ND

https://www.sciencedirect.com/science/article/pii/S0268401223000233

Handle.net

Persistent link

Cite this

Dwivedi, Y. K., Kshetri, N., Hughes, L., Slade, E. L., Jeyaraj, A., Kar, A. K., Baabdullah, A. M., Koohang, A., Raghavan, V., Ahuja, M., Albanna, H., Albashrawi, M. A., Al-Busaidi, A. S., Balakrishnan, J., Barlette, Y., Basu, S., Bose, I., Brooks, L., Buhalis, D., ... 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. https://doi.org/10.1016/j.ijinfomgt.2023.102642

@article{4225e77773734a29b10fc48c59235c3b,

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

abstract = "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{\textquoteright}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{\textquoteright}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.",

keywords = "Artificial Intelligence, Artificial intelligent, Categories of Businesses, Chatbot, artificial intelligence, human-centred computing, Conversational agent, Generative AI, Large language models, ChatGPT, Generative artificial intelligence",

author = "Dwivedi, \{Yogesh K.\} and Nir Kshetri and Laurie Hughes and Slade, \{Emma Louise\} and Anand Jeyaraj and Kar, \{Arpan Kumar\} and Baabdullah, \{Abdullah M.\} and Alex Koohang and Vishnupriya Raghavan and Manju Ahuja and Hanaa Albanna and Albashrawi, \{Mousa Ahmad\} and Al-Busaidi, \{Adil S.\} and Janarthanan Balakrishnan and Yves Barlette and Sriparna Basu and Indranil Bose and Laurence Brooks and Dimitrios Buhalis and Lemuria Carter and Soumyadeb Chowdhury and Tom Crick and Cunningham, \{Scott W.\} and Davies, \{Gareth H.\} and Davison, \{Robert M.\} and Rahul D{\'e} and Denis Dennehy and Yanqing Duan and Rameshwar Dubey and Rohita Dwivedi and Edwards, \{John S.\} and Carlos Flavi{\'a}n and Robin Gauld and Varun Grover and Mei-Chih Hu and Marijn Janssen and Paul Jones and Iris Junglas and Sangeeta Khorana and Sascha Kraus and Larsen, \{Kai R.\} and Paul Latreille and Sven Laumer and Malik, \{F. Tegwen\} and Abbas Mardani and Marcello Mariani and Sunil Mithas and Emmanuel Mogaji and Nord, \{Jeretta Horn\} and Siobhan O{\textquoteright}Connor and Fevzi Okumus and Margherita Pagani and Neeraj Pandey and Savvas Papagiannidis and Pappas, \{Ilias O.\} and Nishith Pathak and Jan Pries-Heje and Ramakrishnan Raman and Rana, \{Nripendra P.\} and Sven-Volker Rehm and Samuel Ribeiro-Navarrete and Alexander Richter and Frantz Rowe and Suprateek Sarker and Stahl, \{Bernd Carsten\} and Tiwari, \{Manoj Kumar\} and \{van der Aalst\}, Wil and Viswanath Venkatesh and Giampaolo Viglia and Michael Wade and Paul Walton and Jochen Wirtz and Ryan Wright",

note = "Publisher Copyright: {\textcopyright} 2023 The Authors",

year = "2023",

month = mar,

day = "11",

doi = "10.1016/j.ijinfomgt.2023.102642",

language = "English",

volume = "71",

journal = "International Journal of Information Management",

issn = "0268-4012",

publisher = "Elsevier B.V.",

}

Dwivedi, YK, Kshetri, N, Hughes, L, Slade, EL, Jeyaraj, A, Kar, AK, Baabdullah, AM, Koohang, A, Raghavan, V, Ahuja, M, Albanna, H, Albashrawi, MA, Al-Busaidi, AS, Balakrishnan, J, Barlette, Y, Basu, S, Bose, I, Brooks, L, Buhalis, D, Carter, L, Chowdhury, S, Crick, T, Cunningham, SW, Davies, GH, Davison, RM, Dé, R, Dennehy, D, Duan, Y, Dubey, R, Dwivedi, R, Edwards, JS, Flavián, C, Gauld, R, Grover, V, Hu, M-C, Janssen, M, Jones, P, Junglas, I, Khorana, S, Kraus, S, Larsen, KR, Latreille, P, Laumer, S, Malik, FT, Mardani, A, Mariani, M, Mithas, S, Mogaji, E, Nord, JH, O’Connor, S, Okumus, F, Pagani, M, Pandey, N, Papagiannidis, S, Pappas, IO, Pathak, N, Pries-Heje, J, Raman, R, Rana, NP, Rehm, S-V, Ribeiro-Navarrete, S, Richter, A, Rowe, F, Sarker, S, Stahl, BC, Tiwari, MK, van der Aalst, W, Venkatesh, V, Viglia, G, Wade, M, Walton, P, Wirtz, J & 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, vol. 71, 102642. https://doi.org/10.1016/j.ijinfomgt.2023.102642

“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 et al.
In: International Journal of Information Management, Vol. 71, 102642, 11.03.2023.

Research output: Contribution to journal › Article › peer-review

TY - JOUR

T1 - “So what if ChatGPT wrote it?” multidisciplinary perspectives on opportunities, challenges and implications of generative conversational AI for research, practice and policy

AU - Dwivedi, Yogesh K.

AU - Kshetri, Nir

AU - Hughes, Laurie

AU - Slade, Emma Louise

AU - Jeyaraj, Anand

AU - Kar, Arpan Kumar

AU - Baabdullah, Abdullah M.

AU - Koohang, Alex

AU - Raghavan, Vishnupriya

AU - Ahuja, Manju

AU - Albanna, Hanaa

AU - Albashrawi, Mousa Ahmad

AU - Al-Busaidi, Adil S.

AU - Balakrishnan, Janarthanan

AU - Barlette, Yves

AU - Basu, Sriparna

AU - Bose, Indranil

AU - Brooks, Laurence

AU - Buhalis, Dimitrios

AU - Carter, Lemuria

AU - Chowdhury, Soumyadeb

AU - Crick, Tom

AU - Cunningham, Scott W.

AU - Davies, Gareth H.

AU - Davison, Robert M.

AU - Dé, Rahul

AU - Dennehy, Denis

AU - Duan, Yanqing

AU - Dubey, Rameshwar

AU - Dwivedi, Rohita

AU - Edwards, John S.

AU - Flavián, Carlos

AU - Gauld, Robin

AU - Grover, Varun

AU - Hu, Mei-Chih

AU - Janssen, Marijn

AU - Jones, Paul

AU - Junglas, Iris

AU - Khorana, Sangeeta

AU - Kraus, Sascha

AU - Larsen, Kai R.

AU - Latreille, Paul

AU - Laumer, Sven

AU - Malik, F. Tegwen

AU - Mardani, Abbas

AU - Mariani, Marcello

AU - Mithas, Sunil

AU - Mogaji, Emmanuel

AU - Nord, Jeretta Horn

AU - O’Connor, Siobhan

AU - Okumus, Fevzi

AU - Pagani, Margherita

AU - Pandey, Neeraj

AU - Papagiannidis, Savvas

AU - Pappas, Ilias O.

AU - Pathak, Nishith

AU - Pries-Heje, Jan

AU - Raman, Ramakrishnan

AU - Rana, Nripendra P.

AU - Rehm, Sven-Volker

AU - Ribeiro-Navarrete, Samuel

AU - Richter, Alexander

AU - Rowe, Frantz

AU - Sarker, Suprateek

AU - Stahl, Bernd Carsten

AU - Tiwari, Manoj Kumar

AU - van der Aalst, Wil

AU - Venkatesh, Viswanath

AU - Viglia, Giampaolo

AU - Wade, Michael

AU - Walton, Paul

AU - Wirtz, Jochen

AU - Wright, Ryan

PY - 2023/3/11

Y1 - 2023/3/11

N2 - 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.

AB - 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.

KW - Artificial Intelligence

KW - Artificial intelligent

KW - Categories of Businesses

KW - Chatbot

KW - artificial intelligence

KW - human-centred computing

KW - Conversational agent

KW - Generative AI

KW - Large language models

KW - ChatGPT

KW - Generative artificial intelligence

UR - https://www.scopus.com/pages/publications/85149886538

U2 - 10.1016/j.ijinfomgt.2023.102642

DO - 10.1016/j.ijinfomgt.2023.102642

M3 - Article

SN - 0268-4012

VL - 71

JO - International Journal of Information Management

JF - International Journal of Information Management

M1 - 102642

ER -

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

Abstract

UN SDGs

Keywords

ASJC Scopus subject areas

Access to Document

Handle.net

Other files and links

Fingerprint

Cite this