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

Yogesh Kumar 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 De; Denis Dennehy; Yanqing Duan; Rameshwar Dubey; Rohita Dwivedi; John Edwards; Carlos Flavian; 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 Tiwani; Wil van der Aalst; Viswanath Venkatesh; Giampaolo Viglia; Michael Wade; Paul Walton; Jochen Wirtz; Ryan Wright

doi: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

Yogesh Kumar 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 CarterSoumyadeb Chowdhury, Tom Crick, Scott W Cunningham, Gareth H Davies, Robert M Davison, Rahul De, Denis Dennehy, Yanqing Duan, Rameshwar Dubey, Rohita Dwivedi, John Edwards, Carlos Flavian, 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 Tiwani, Wil van der Aalst, Viswanath Venkatesh, Giampaolo Viglia, Michael Wade, Paul Walton, Jochen Wirtz, Ryan Wright

^*Corresponding author for this work

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

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
Number of pages	63
Journal	International Journal of Information Management
Volume	71
Early online date	11 Mar 2023
DOIs	https://doi.org/10.1016/j.ijinfomgt.2023.102642
Publication status	Published - 1 Aug 2023

Bibliographical note

Copyright © 2023 The Author(s). Published by Elsevier Ltd. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-
nc-nd/4.0/)

Keywords

Conversational agent
Generative artificial intelligence
Generative AI
ChatGPT
Large language models

Access to Document

https://doi.org/10.1016/j.ijinfomgt.2023.102642Licence: CC BY-NC-ND 4.0

ChatGPT multidisciplinary perspectives
Copyright © 2023 The Author(s). Published by Elsevier Ltd. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by- nc-nd/4.0/)
Final published version, 7.41 MBLicence: CC BY-NC-ND 4.0

Cite this

Dwivedi, Y. K., Kshetri, N., Hughes, L., Slade, E. L., Jeyaraj, A., Kumar Kar, A., 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

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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.",

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author = "Dwivedi, {Yogesh Kumar} and Nir Kshetri and Laurie Hughes and Slade, {Emma Louise} and Anand Jeyaraj and {Kumar Kar}, Arpan 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 De and Denis Dennehy and Yanqing Duan and Rameshwar Dubey and Rohita Dwivedi and John Edwards and Carlos Flavian 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 {Horn Nord}, Jeretta and Siobhan O'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 Tiwani, {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 = "Copyright {\textcopyright} 2023 The Author(s). Published by Elsevier Ltd. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by- nc-nd/4.0/)",

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doi = "https://doi.org/10.1016/j.ijinfomgt.2023.102642",

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Dwivedi, YK, Kshetri, N, Hughes, L, Slade, EL, Jeyaraj, A, Kumar Kar, A, 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, De, R, Dennehy, D, Duan, Y, Dubey, R, Dwivedi, R, Edwards, J, Flavian, 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, Horn Nord, J, 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, Tiwani, 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 Kumar; Kshetri, Nir; Hughes, Laurie et al.
In: International Journal of Information Management, Vol. 71, 102642, 01.08.2023.

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

TY - JOUR

T1 - “So what if ChatGPT wrote it?”

T2 - Multidisciplinary perspectives on opportunities, challenges and implications of generative conversational AI for research, practice and policy

AU - Dwivedi, Yogesh Kumar

AU - Kshetri, Nir

AU - Hughes, Laurie

AU - Slade, Emma Louise

AU - Jeyaraj, Anand

AU - Kumar Kar, Arpan

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 - De, Rahul

AU - Dennehy, Denis

AU - Duan, Yanqing

AU - Dubey, Rameshwar

AU - Dwivedi, Rohita

AU - Edwards, John

AU - Flavian, 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 - Horn Nord, Jeretta

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 - Tiwani, 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 - 2023/8/1

Y1 - 2023/8/1

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 - Conversational agent

KW - Generative artificial intelligence

KW - Generative AI

KW - ChatGPT

KW - Large language models

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

U2 - https://doi.org/10.1016/j.ijinfomgt.2023.102642

DO - https://doi.org/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 -

Dwivedi YK, Kshetri N, Hughes L, Slade EL, Jeyaraj A, Kumar Kar A et al. “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. 2023 Aug 1;71:102642. Epub 2023 Mar 11. doi: 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

Abstract

Bibliographical note

Keywords

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