"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. and Kshetri, Nir and Hughes, Laurie and Slade, Emma Louise and Jeyaraj, Anand and Kar, Arpan Kumar and Baabdullah, Abdullah M. and Koohang, Alex and Raghavan, Vishnupriya and Ahuja, Manju and Albanna, Hanaa and Albashrawi, Mousa Ahmad and Al-Busaidi, Adil S. and Balakrishnan, Janarthanan and Barlette, Yves and Basu, Sriparna and Bose, Indranil and Brooks, Laurence and Buhalis, Dimitrios and Carter, Lemuria and Chowdhury, Soumyadeb and Crick, Tom and Cunningham, Scott W. and Davies, Gareth H. and Davison, Robert M. and Dé, Rahul and Dennehy, Denis and Duan, Yanqing and Dubey, Rameshwar and Dwivedi, Rohita and Edwards, John S. and Flavián, Carlos and Gauld, Robin and Grover, Varun and Hu, Mei-Chih and Janssen, Marijn and Jones, Paul and Junglas, Iris and Khorana, Sangeeta and Kraus, Sascha and Larsen, Kai R. and Latreille, Paul and Laumer, Sven and Malik, F. Tegwen and Mardani, Abbas and Mariani, Marcello and Mithas, Sunil and Mogaji, Emmanuel and Nord, Jeretta Horn and O'Connor, Siobhan and Okumus, Fevzi and Pagani, Margherita and Pandey, Neeraj and Papagiannidis, Savvas and Pappas, Ilias O. and Pathak, Nishith and Pries-Heje, Jan and Raman, Ramakrishnan and P. Rana, Nripendra and Rehm, Sven-Volker and Ribeiro-Navarrete, Samuel and Richter, Alexander and Rowe, Frantz and Sarker, Suprateek and Stahl, Bernd Carsten and Tiwari, Manoj Kumar and van der Aalst, Wil and Venkatesh, Viswanath and Viglia, Giampaolo and Wade, Michael and Walton, Paul and Wirtz, Jochen and Wright, Ryan (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. 102642. ISSN 0268-4012 (https://doi.org/10.1016/j.ijinfomgt.2023.102642)

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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.