Keng-Boon Ooi
The Potential of Generative Artificial Intelligence Across Disciplines: Perspectives and Future Directions
Ooi, Keng-Boon; Tan, Garry Wei-Han; Al-Emran, Mostafa; Al-Sharafi, Mohammed A.; Capatina, Alexandru; Chakraborty, Amrita; Dwivedi, Yogesh K.; Huang, Tzu-Ling; Kar, Arpan Kumar; Lee, Voon-Hsien; Loh, Xiu-Ming; Micu, Adrian; Mikalef, Patrick; Mogaji, Emmanuel; Pandey, Neeraj; Raman, Ramakrishnan; Rana, Nripendra P.; Sarker, Prianka; Sharma, Anshuman; Teng, Ching-I; Wamba, Samuel Fosso; Wong, Lai-Wan
Authors
Garry Wei-Han Tan
Mostafa Al-Emran
Mohammed A. Al-Sharafi
Alexandru Capatina
Amrita Chakraborty
Yogesh K. Dwivedi
Tzu-Ling Huang
Arpan Kumar Kar
Voon-Hsien Lee
Xiu-Ming Loh
Adrian Micu
Patrick Mikalef
Dr Emmanuel Mogaji e.mogaji@keele.ac.uk
Neeraj Pandey
Ramakrishnan Raman
Nripendra P. Rana
Prianka Sarker
Anshuman Sharma
Ching-I Teng
Samuel Fosso Wamba
Lai-Wan Wong
Abstract
In a short span of time since its introduction, generative artificial intelligence (AI) has garnered much interest at both personal and organizational levels. This is because of its potential to cause drastic and widespread shifts in many aspects of life that are comparable to those of the Internet and smartphones. More specifically, generative AI utilizes machine learning, neural networks, and other techniques to generate new content (e.g. text, images, music) by analyzing patterns and information from the training data. This has enabled generative AI to have a wide range of applications, from creating personalized content to improving business operations. Despite its many benefits, there are also significant concerns about the negative implications of generative AI. In view of this, the current article brings together experts in a variety of fields to expound and provide multi-disciplinary insights on the opportunities, challenges, and research agendas of generative AI in specific industries (i.e. marketing, healthcare, human resource, education, banking, retailing, the workplace, manufacturing, and sustainable IT management).
Citation
Ooi, K., Tan, G. W., Al-Emran, M., Al-Sharafi, M. A., Capatina, A., Chakraborty, A., …Wong, L. (in press). The Potential of Generative Artificial Intelligence Across Disciplines: Perspectives and Future Directions. Journal of Computer Information Systems, 1-32. https://doi.org/10.1080/08874417.2023.2261010
Journal Article Type | Article |
---|---|
Acceptance Date | Sep 3, 2023 |
Online Publication Date | Oct 5, 2023 |
Deposit Date | Oct 11, 2023 |
Publicly Available Date | Oct 6, 2024 |
Journal | Journal of Computer Information Systems |
Print ISSN | 0887-4417 |
Electronic ISSN | 2380-2057 |
Publisher | Taylor and Francis |
Peer Reviewed | Peer Reviewed |
Pages | 1-32 |
DOI | https://doi.org/10.1080/08874417.2023.2261010 |
Keywords | Computer Networks and Communications; Education; Information Systems |
Additional Information | Peer Review Statement: The publishing and review policy for this title is described in its Aims & Scope.; Aim & Scope: http://www.tandfonline.com/action/journalInformation?show=aimsScope&journalCode=ucis20; Published: 2023-10-05 |
Files
This file is under embargo until Oct 6, 2024 due to copyright reasons.
Contact e.mogaji@keele.ac.uk to request a copy for personal use.
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