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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
International Journal of Information Management, Volume: 71, Start page: 102642
Swansea University Authors:
Yogesh Dwivedi, David Hughes, Tom Crick , Denis Dennehy
, Tegwen Malik
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DOI (Published version): 10.1016/j.ijinfomgt.2023.102642
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...
Published in: | International Journal of Information Management |
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ISSN: | 0268-4012 |
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Elsevier BV
2023
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URI: | https://cronfa.swan.ac.uk/Record/cronfa62927 |
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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. 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2025-03-06T15:21:53.4025182 v2 62927 2023-03-13 “So what if ChatGPT wrote it?” Multidisciplinary perspectives on opportunities, challenges and implications of generative conversational AI for research, practice and policy d154596e71b99ad1285563c8fdd373d7 Yogesh Dwivedi Yogesh Dwivedi true false 7abaa0ecff88cdfd7a208d27a8b62173 David Hughes David Hughes true false 200c66ef0fc55391f736f6e926fb4b99 0000-0001-5196-9389 Tom Crick Tom Crick true false ba782cbe94139075e5418dc9274e8304 0000-0001-9931-762X Denis Dennehy Denis Dennehy true false d7e74f3c3979dff2baba1a16fe50e24a 0000-0003-4315-5726 Tegwen Malik Tegwen Malik true false 2023-03-13 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. Journal Article International Journal of Information Management 71 102642 Elsevier BV 0268-4012 Conversational agent, Generative artificial intelligence, Generative AIChat, GPT, Large language models 1 8 2023 2023-08-01 10.1016/j.ijinfomgt.2023.102642 http://dx.doi.org/10.1016/j.ijinfomgt.2023.102642 COLLEGE NANME COLLEGE CODE Swansea University SU Library paid the OA fee (TA Institutional Deal) 2025-03-06T15:21:53.4025182 2023-03-13T14:50:21.2849283 Faculty of Humanities and Social Sciences School of Management - Business Management Yogesh Dwivedi 1 Nir Kshetri 2 David Hughes 3 Emma Louise Slade 4 Anand Jeyaraj 5 Arpan Kumar Kar 6 Abdullah M. Baabdullah 7 Alex Koohang 8 Vishnupriya Raghavan 9 Manju Ahuja 10 Hanaa Albanna 11 Mousa Ahmad Albashrawi 12 Adil S. Al-Busaidi 13 Janarthanan Balakrishnan 14 Yves Barlette 15 Sriparna Basu 16 Indranil Bose 17 Laurence Brooks 18 Dimitrios Buhalis 19 Lemuria Carter 20 Soumyadeb Chowdhury 21 Tom Crick 0000-0001-5196-9389 22 Scott W. Cunningham 23 Gareth H. Davies 24 Robert M. Davison 25 Rahul Dé 26 Denis Dennehy 0000-0001-9931-762X 27 Yanqing Duan 28 Rameshwar Dubey 29 Rohita Dwivedi 30 John S. Edwards 31 Carlos Flavián 32 Robin Gauld 33 Varun Grover 34 Mei-Chih Hu 35 Marijn Janssen 36 Paul Jones 37 Iris Junglas 38 Sangeeta Khorana 39 Sascha Kraus 40 Kai R. Larsen 41 Paul Latreille 42 Sven Laumer 43 Tegwen Malik 0000-0003-4315-5726 44 Abbas Mardani 45 Marcello Mariani 46 Sunil Mithas 47 Emmanuel Mogaji 48 Jeretta Horn Nord 49 Siobhan O’Connor 50 Fevzi Okumus 51 Margherita Pagani 52 Neeraj Pandey 53 Savvas Papagiannidis 54 Ilias O. Pappas 55 Nishith Pathak 56 Jan Pries-Heje 57 Ramakrishnan Raman 58 Nripendra P. Rana 59 Sven-Volker Rehm 60 Samuel Ribeiro-Navarrete 61 Alexander Richter 62 Frantz Rowe 63 Suprateek Sarker 64 Bernd Carsten Stahl 65 Manoj Kumar Tiwari 66 Wil van der Aalst 67 Viswanath Venkatesh 68 Giampaolo Viglia 69 Michael Wade 70 Paul Walton 71 Jochen Wirtz 72 Ryan Wright 73 62927__26940__00481c075ce44607af22b5fa9ac1512c.pdf 62927.VOR.pdf 2023-03-27T15:57:22.9205721 Output 7771367 application/pdf Version of Record true This is an open access article under the CC BY-NC-ND license. true eng http://creativecommons.org/licenses/by-nc-nd/4.0/ |
title |
“So what if ChatGPT wrote it?” Multidisciplinary perspectives on opportunities, challenges and implications of generative conversational AI for research, practice and policy |
spellingShingle |
“So what if ChatGPT wrote it?” Multidisciplinary perspectives on opportunities, challenges and implications of generative conversational AI for research, practice and policy Yogesh Dwivedi David Hughes Tom Crick Denis Dennehy Tegwen Malik |
title_short |
“So what if ChatGPT wrote it?” Multidisciplinary perspectives on opportunities, challenges and implications of generative conversational AI for research, practice and policy |
title_full |
“So what if ChatGPT wrote it?” Multidisciplinary perspectives on opportunities, challenges and implications of generative conversational AI for research, practice and policy |
title_fullStr |
“So what if ChatGPT wrote it?” Multidisciplinary perspectives on opportunities, challenges and implications of generative conversational AI for research, practice and policy |
title_full_unstemmed |
“So what if ChatGPT wrote it?” Multidisciplinary perspectives on opportunities, challenges and implications of generative conversational AI for research, practice and policy |
title_sort |
“So what if ChatGPT wrote it?” Multidisciplinary perspectives on opportunities, challenges and implications of generative conversational AI for research, practice and policy |
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Yogesh Dwivedi David Hughes Tom Crick Denis Dennehy Tegwen Malik |
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Yogesh Dwivedi Nir Kshetri David 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 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 |
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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. |
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2023-08-01T12:46:24Z |
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