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Factors that Influence AI Investment Decisions in Oman's Hydrocarbons Industry: A Review of the Theoretical Literature and Proposed Theoretical Model

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dc.citedby2
dc.contributor.authorAl-Haji Y.K.en_US
dc.contributor.authorBakar S.B.en_US
dc.contributor.authorid58922265000en_US
dc.contributor.authorid55682655444en_US
dc.date.accessioned2025-03-03T07:47:36Z
dc.date.available2025-03-03T07:47:36Z
dc.date.issued2024
dc.description.abstractArtificial Intelligence technologies have exceptional capabilities that enhance the production efficiency of oil and gas companies by saving time and energy in terms of the technologies used and the workers involved, provided that the technology used is cost-effective for the field of concern. AI gradually penetrates various stages of the oil and gas sectors, such as intelligent drilling, intelligent development, intelligent pipelines, and intelligent refineries. This paper presents a comprehensive model for studying the elements that drive AI investment decisions in Oman?s hydrocarbons industry. This study combined theories of the technology acceptance model (TAM), innovation diffusion theory (IDT), business environment factors, and risk management with AI investment decisions. This study aims to discover the key factors that influence AI investment decisions by studying numerous elements that impact AI investment decisions in the sector. These drivers include AI's innovation attributes, the external and internal business environment, risk management, and the moderating of perceived usefulness and perceived ease of use. Gaining insight into these elements enables players in Oman?s hydrocarbons sector to make informed decisions about AI investment decisions. This, in turn, can lead to increased operational efficiency, cost savings, and better decision-making processes. ? 2024, SRAC - Romanian Society for Quality. All rights reserved.en_US
dc.description.natureFinalen_US
dc.identifier.doi10.47750/QAS/25.200.10
dc.identifier.epage113
dc.identifier.issue200
dc.identifier.scopus2-s2.0-85186871973
dc.identifier.spage94
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85186871973&doi=10.47750%2fQAS%2f25.200.10&partnerID=40&md5=ab1aa357cf4654241d6b2c762de25f33
dc.identifier.urihttps://irepository.uniten.edu.my/handle/123456789/37112
dc.identifier.volume25
dc.pagecount19
dc.publisherSRAC - Romanian Society for Qualityen_US
dc.relation.ispartofAll Open Access; Bronze Open Access
dc.sourceScopus
dc.sourcetitleQuality - Access to Success
dc.titleFactors that Influence AI Investment Decisions in Oman's Hydrocarbons Industry: A Review of the Theoretical Literature and Proposed Theoretical Modelen_US
dc.typeArticleen_US
dspace.entity.typePublication
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