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The Potential of Generative Artificial Intelligence Across Disciplines: Perspectives and Future Directions

Keng-Boon Ooi, Garry Wei-Han Tan, Mostafa Al-Emran Orcid Logo, Mohammed A. Al-Sharafi Orcid Logo, Alexandru Capatina, Amrita Chakraborty, Yogesh Dwivedi Orcid Logo, 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 Orcid Logo

  • Accepted Manuscript under embargo until: 5th October 2024

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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...

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Published in: Journal of Computer Information Systems
ISSN: 0887-4417 2380-2057
Published: Informa UK Limited
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URI: https://cronfa.swan.ac.uk/Record/cronfa64557
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spelling v2 64557 2023-09-18 The Potential of Generative Artificial Intelligence Across Disciplines: Perspectives and Future Directions d154596e71b99ad1285563c8fdd373d7 0000-0002-5547-9990 Yogesh Dwivedi Yogesh Dwivedi true false 2023-09-18 BBU 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). Journal Article Journal of Computer Information Systems 1 32 Informa UK Limited 0887-4417 2380-2057 Generative artificial intelligence, machine learning, large language model, ChatGPT, Bard 0 0 0 0001-01-01 10.1080/08874417.2023.2261010 http://dx.doi.org/10.1080/08874417.2023.2261010 COLLEGE NANME Business COLLEGE CODE BBU Swansea University 2023-10-17T17:02:47.1118273 2023-09-18T09:21:29.8656043 Faculty of Humanities and Social Sciences School of Management - Business Management Keng-Boon Ooi 1 Garry Wei-Han Tan 2 Mostafa Al-Emran 0000-0002-5269-5380 3 Mohammed A. Al-Sharafi 0000-0003-0726-6031 4 Alexandru Capatina 5 Amrita Chakraborty 6 Yogesh Dwivedi 0000-0002-5547-9990 7 Tzu-Ling Huang 8 Arpan Kumar Kar 9 Voon-Hsien Lee 10 Xiu-Ming Loh 11 Adrian Micu 12 Patrick Mikalef 13 Emmanuel Mogaji 14 Neeraj Pandey 15 Ramakrishnan Raman 16 Nripendra P. Rana 17 Prianka Sarker 18 Anshuman Sharma 19 Ching-I Teng 20 Samuel Fosso Wamba 21 Lai-Wan Wong 22 Under embargo Under embargo 2023-10-17T17:00:25.1561952 Output 760539 application/pdf Accepted Manuscript true 2024-10-05T00:00:00.0000000 true eng
title The Potential of Generative Artificial Intelligence Across Disciplines: Perspectives and Future Directions
spellingShingle The Potential of Generative Artificial Intelligence Across Disciplines: Perspectives and Future Directions
Yogesh Dwivedi
title_short The Potential of Generative Artificial Intelligence Across Disciplines: Perspectives and Future Directions
title_full The Potential of Generative Artificial Intelligence Across Disciplines: Perspectives and Future Directions
title_fullStr The Potential of Generative Artificial Intelligence Across Disciplines: Perspectives and Future Directions
title_full_unstemmed The Potential of Generative Artificial Intelligence Across Disciplines: Perspectives and Future Directions
title_sort The Potential of Generative Artificial Intelligence Across Disciplines: Perspectives and Future Directions
author_id_str_mv d154596e71b99ad1285563c8fdd373d7
author_id_fullname_str_mv d154596e71b99ad1285563c8fdd373d7_***_Yogesh Dwivedi
author Yogesh Dwivedi
author2 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
format Journal article
container_title Journal of Computer Information Systems
container_start_page 1
institution Swansea University
issn 0887-4417
2380-2057
doi_str_mv 10.1080/08874417.2023.2261010
publisher Informa UK Limited
college_str Faculty of Humanities and Social Sciences
hierarchytype
hierarchy_top_id facultyofhumanitiesandsocialsciences
hierarchy_top_title Faculty of Humanities and Social Sciences
hierarchy_parent_id facultyofhumanitiesandsocialsciences
hierarchy_parent_title Faculty of Humanities and Social Sciences
department_str School of Management - Business Management{{{_:::_}}}Faculty of Humanities and Social Sciences{{{_:::_}}}School of Management - Business Management
url http://dx.doi.org/10.1080/08874417.2023.2261010
document_store_str 0
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description 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).
published_date 0001-01-01T17:02:48Z
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score 11.012095

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