Journal article 579 views
The Potential of Generative Artificial Intelligence Across Disciplines: Perspectives and Future Directions
Keng-Boon Ooi,
Garry Wei-Han Tan,
Mostafa Al-Emran 
,
Mohammed A. Al-Sharafi ,
Alexandru Capatina,
Amrita Chakraborty,
Yogesh Dwivedi ,
Tzu-Ling Huang,
Arpan Kumar Kar,
Voon-Hsien Lee,
Xiu-Ming Loh,
Adrian Micu,
Patrick Mikalef,
Emmanuel Mogaji,
Neeraj Pandey,
Ramakrishnan Raman,
Nripendra P. Rana,
Prianka Sarker,
Anshuman Sharma,
Ching-I Teng,
Samuel Fosso Wamba,
Lai-Wan Wong
,
Mohammed A. Al-Sharafi ,
Alexandru Capatina,
Amrita Chakraborty,
Yogesh Dwivedi ,
Tzu-Ling Huang,
Arpan Kumar Kar,
Voon-Hsien Lee,
Xiu-Ming Loh,
Adrian Micu,
Patrick Mikalef,
Emmanuel Mogaji,
Neeraj Pandey,
Ramakrishnan Raman,
Nripendra P. Rana,
Prianka Sarker,
Anshuman Sharma,
Ching-I Teng,
Samuel Fosso Wamba,
Lai-Wan Wong
Journal of Computer Information Systems, Pages: 1 - 32
Swansea University Author:
Yogesh Dwivedi
DOI (Published version): 10.1080/08874417.2023.2261010
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...
| Published in: | Journal of Computer Information Systems |
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| ISSN: | 0887-4417 2380-2057 |
| Published: |
Informa UK Limited
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| Online Access: |
Check full text
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| URI: | https://cronfa.swan.ac.uk/Record/cronfa64557 |
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| 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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| Keywords: |
Generative artificial intelligence, machine learning, large language model, ChatGPT, Bard |
| College: |
Faculty of Humanities and Social Sciences |
| Start Page: |
1 |
| End Page: |
32 |