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

Simple item page
dc.citedby97
dc.contributor.authorOoi K.-B.en_US
dc.contributor.authorTan G.W.-H.en_US
dc.contributor.authorAl-Emran M.en_US
dc.contributor.authorAl-Sharafi M.A.en_US
dc.contributor.authorCapatina A.en_US
dc.contributor.authorChakraborty A.en_US
dc.contributor.authorDwivedi Y.K.en_US
dc.contributor.authorHuang T.-L.en_US
dc.contributor.authorKar A.K.en_US
dc.contributor.authorLee V.-H.en_US
dc.contributor.authorLoh X.-M.en_US
dc.contributor.authorMicu A.en_US
dc.contributor.authorMikalef P.en_US
dc.contributor.authorMogaji E.en_US
dc.contributor.authorPandey N.en_US
dc.contributor.authorRaman R.en_US
dc.contributor.authorRana N.P.en_US
dc.contributor.authorSarker P.en_US
dc.contributor.authorSharma A.en_US
dc.contributor.authorTeng C.-I.en_US
dc.contributor.authorWamba S.F.en_US
dc.contributor.authorWong L.-W.en_US
dc.contributor.authorid14619509700en_US
dc.contributor.authorid57035671700en_US
dc.contributor.authorid56593108000en_US
dc.contributor.authorid57196477711en_US
dc.contributor.authorid35209737400en_US
dc.contributor.authorid57208560088en_US
dc.contributor.authorid35239818900en_US
dc.contributor.authorid57203386123en_US
dc.contributor.authorid55911169300en_US
dc.contributor.authorid42061780600en_US
dc.contributor.authorid57212302322en_US
dc.contributor.authorid58355484100en_US
dc.contributor.authorid42761793700en_US
dc.contributor.authorid56823605700en_US
dc.contributor.authorid57813546700en_US
dc.contributor.authorid55808097300en_US
dc.contributor.authorid50262828700en_US
dc.contributor.authorid57211180165en_US
dc.contributor.authorid57222817448en_US
dc.contributor.authorid14623453000en_US
dc.contributor.authorid14833520200en_US
dc.contributor.authorid57195363118en_US
dc.date.accessioned2024-10-14T03:19:52Z
dc.date.available2024-10-14T03:19:52Z
dc.date.issued2023
dc.description.abstractIn 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). � 2023 International Association for Computer Information Systems.en_US
dc.description.natureArticle in pressen_US
dc.identifier.doi10.1080/08874417.2023.2261010
dc.identifier.scopus2-s2.0-85173499156
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85173499156&doi=10.1080%2f08874417.2023.2261010&partnerID=40&md5=71d660d872498623c020fe6a8f42a6d7
dc.identifier.urihttps://irepository.uniten.edu.my/handle/123456789/34449
dc.publisherTaylor and Francis Ltd.en_US
dc.sourceScopus
dc.sourcetitleJournal of Computer Information Systems
dc.subjectBard
dc.subjectChatGPT
dc.subjectGenerative artificial intelligence
dc.subjectlarge language model
dc.subjectmachine learning
dc.subjectHuman resource management
dc.subjectIndustrial research
dc.subjectMusic
dc.subjectBard
dc.subjectChatGPT
dc.subjectGenerative artificial intelligence
dc.subjectLanguage model
dc.subjectLarge language model
dc.subjectLearning neural networks
dc.subjectMachine-learning
dc.subjectOrganizational levels
dc.subjectSmart phones
dc.subjectText images
dc.subjectMachine learning
dc.titleThe Potential of Generative Artificial Intelligence Across Disciplines: Perspectives and Future Directionsen_US
dc.typeArticleen_US
dspace.entity.typePublication
Files
Collections
SCOPUS