The Potential of Generative Artificial Intelligence Across Disciplines: Perspectives and Future Directions
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).
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- Authors
- Ooi, K.-B., Tan, G. W.-H., Al-Emran, M., Al-Sharafi, M. A., Capatina, A., Chakraborty, A., Dwivedi, Y. K., Huang, T.-L., Kar, A. K., Lee, V.-H., Loh, X.-M., Micu, A., Mikalef, P., Mogaji, E., Pandey, N., Raman, R., Rana, N. P., Sarker, P., Sharma, A., Teng, C.-I., Wamba, S. F., & Wong, L.-W.
- Affiliations
- Fore School of Management (IN)
- Adamson University (PH)
- Faculty of Engineering & IT, The British University in Dubai, Dubai, UAE
- Universiti Tenaga Nasional (MY)
- Department of Business Administration, “Dunarea de Jos” University of Galati, Galati, Romania
- Tech Talk, New Delhi, India
- Symbiosis International University (IN)
- National Central University (TW)
- Indian Institute of Technology Delhi (IN)
- Universiti Tunku Abdul Rahman (MY)
- "Dunarea de Jos" University of Galati (RO)
- SINTEF (NO)
- Keele University (GB)
- Indian Institute of Management Mumbai (IN)
- Qatar University (QA)
- Manchester Metropolitan University (GB)
- Ajman University (AE)
- Chang Gung University (TW)
- TBS Education (FR)
- Xiamen University Malaysia (MY)
- Corresponding author
- Ooi, Keng-Boon
- ORCID
- Venue
- Journal of Computer Information Systems
- Publisher
- Informa UK Limited
- Published
- 2023-10-05
- Volume
- 65
- Issue
- 1
- Pages
- 76-107
- ISSN
- 0887-4417 (ISSN-L)
- 2380-2057
- OpenAlex
- W4387379065
- Cited by
- 746
- References
- 18
- Citations by year
- 2026: 182 · 2025: 326 · 2024: 217 · 2023: 20 · 2020: 1
- FWCI
- 70.32
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Journal of Computer Information Systems (publishedVersion)
- e-space (Manchester Metropolitan University) (acceptedVersion)
- Qatar University QSpace (Qatar University) (submittedVersion)
- Topics
- Physical Sciences › Computer Science › Artificial Intelligence › Artificial Intelligence Applications
- Social Sciences › Decision Sciences › Management Science and Operations Research › Impact of AI and Big Data on Business and Society
- Social Sciences › Safety Research › Ethics and Social Impacts of AI
- Keywords
- generative AI, interdisciplinary applications, content creation, content personalization, business operations, health care, human resource management, banking sector, retail trade, workplace, manufacturing industry
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