Perspectives from leading experts

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Nov 24, 2024

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Perspectives from leading experts In accordance with Foerster's (2003) original proposal and multiple subsequent studies that have followed an expert-based viewpoint on a diverse range of IS related topics ( Dwivedi et al., 2015 , Dwivedi et al., 2020 , Dwivedi et al., 2021a , Dwivedi et al., 2021b , Dwivedi et al., 2022a , Dwivedi et al., 2022b , Dwivedi et al., 2022c , Dwivedi et al., 2022d ), we examine the critical perspectives on the impact and core challenges from the widespread adoption of ChatGPT and associated generative AI technologies. The full list of experts and their individual contributions are listed in Table 1 , dividing the contributions into five broad categories. Table 1. Individual contributions on ChatGPT. Contribution Title Author (s) 2.1. Broad perspectives on generative AI Contribution 1: ChatGPT: Disruption and What Next? Viswanath Venkatesh Contribution 2: AI Platforms, ChatGPT, and Innovation Marcello Mariani Contribution 3: Human and Generative AI collaboration: Lessons from Utilitarianism Lemuria Carter and Soumyadeb Chowdhury Contribution 4: ChatGPT’s biggest disruption: Knowledge Work Productivity Michael Wade Contribution 5: ChatGPT as a Member of Hybrid Teams Alexander Richter Contribution 6: ChatGPT as the New Calculator Wil van der Aalst Contribution 7: ChatGPT for Human Augmentation Ilias O. Pappas Contribution 8: Overcoming Resistance to Change with AI: Can ChatGPT Help You? Jan Pries-Heje 2.2. Organisational and societal impacts Contribution 9: Societal Impact of ChatGPT Rahul Dé Contribution 10: The Potential of ChatGPT: Awe, Fear, Disgust and Transformation Robert M. Davison Contribution 11: ChatGPT: the Digital Transformation Challenge for Organisations Just Became Harder Paul Walton Contribution 12: Services Marketing and Management Implications of ChatGPT Jochen Wirtz

Contribution Title Author (s) Contribution 13: Marketing in the World of GPT-3.0 and ChatGPT: Futuristic Reflections Janarthanan Balakrishnan, Rohita Dwivedi, Samuel Ribeiro-Navarrete and Adil S. Al-Busaidi Contribution 14: ChatGPT in Banking Services Emmanuel Mogaji, Mousa Ahmad Albashrawi, Sriparna Basu and Sangeeta Khorana Contribution 15: Using ChatGPT in Tourism, Travel, Transport and Hospitality Industries Dimitrios Buhalis 2.3. Impact on the academic sector Contribution 16: Generative AI in Teaching and Research: Some Preliminary Thoughts Ryan Wright and Suprateek Sarker Contribution 17: ChatGPT: The New Wave of AI Tools in Higher Education Siobhan O’Connor Contribution 18: ChatGPT: The digital transformation of academia is underway Sven Laumer Contribution 19: How to enhance critical thinking of students, educators and researchers in the ChatGPT era Giampaolo Viglia Contribution 20: ChatGPT and Education – Is a Symbiotic Relationship Possible? Ramakrishnan Raman, Gareth H. Davies and Abbas Mardani Contribution 21: ChatGPT in the context of education: how to deal with its disruptive effects? Yves Barlette Contribution 22: The Use of ChatGPT in Educational Institutions: Challenges, Opportunities and Future Scope Nripendra P Rana, Jeretta Horn Nord, Hanaa Albanna and Carlos Flavian Contribution 23: Disrupting higher education and human communication by Language models Marijn Janssen Contribution 24: ChatGPT and Education Policy and Practice Tom Crick Contribution 25: How Does ChatGPT Benefit or Harm Academic Research? Varun Grover Contribution 26: ChatGPT, scholarly Rameshwar Dubey and

Contribution Title Author (s) writing, and publishing Denis Dennehy Contribution 27: ChatGPT and its potential impact on research and publishing Savvas Papagiannidis Contribution 28: Magic or fast-food writing? when transformers challenge our epistemic values in teaching and research and our humanity Frantz Rowe Contribution 29: Recommendations for dealing with ChatGPT, Bard & Co. in academic publishing Paul Jones and Sascha Kraus 2.4. Ethical issues Contribution 30: ChatGPT and Ethics – ‘ChatGPT Doesn’t Matter’? Laurence Brooks Contribution 31: Good Bot or Bad Bot? On the Ethics of ChatGPT Bernd C Stahl 2.5. Challenges, opportunities, and research directions Contribution 32: Towards a research agenda for generative AI in education, industry and research John S. Edwards and Yanqing Duan Contribution 33: Use the SACE and ADROIT Framework to Assess Challenges, Opportunities, and Research Agenda Related to ChatGPT Sunil Mithas Contribution 34: ChatGPT: Challenges and Opportunities Margherita Pagani Contribution 35: Moving from Prediction to Creativity: Implications of Generative AI on Measurement of Success Kai R. Larsen Contribution 36: ChatGPT: Challenges, Opportunities, Impact and Research Agenda Neeraj Pandey, Manoj Tiwari, Fevzi Okumus and F. Tegwen Malik Contribution 37: ChatGPT: Challenges, Opportunities, Impact and Research Agenda Paul Latreille Contribution 38: ChatGPT: challenges, opportunities, impact and research agenda Robin Gauld

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Contribution Title Author (s) Contribution 39: Challenges, opportunities, and impact of ChatGPT in the IT industry Nishith Pathak Contribution 40: Challenges of ChatGPT Indranil Bose Contribution 41: On the Challenges and Opportunities of ChatGPT Iris Junglas and Sven-V. Rehm Contribution 42: ChatGPT3: Technology Development, Impact and Challenges Scott W. Cunningham and Mei-Chih Hu Contribution 43: ChatGPT: A Research Agenda Manju Ahuja

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