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Searching for New Technology Acceptance Model under Social Context: Analyzing the Determinants of Acceptance of Intelligent Information Technology in Digital Transformation and Implications for the Requisites of Digital Sustainabilityoa mark
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Publication Year
2022-01-01
Publisher
MDPI
Citation
Sustainability (Switzerland), Vol.14
Keyword
Adoption of technologyDigital innovationDigital transformationIntelligent information technologyRisk perceptionTechnology acceptance model (TAM)
All Science Classification Codes (ASJC)
Computer Science (miscellaneous)Geography, Planning and DevelopmentRenewable Energy, Sustainability and the EnvironmentBuilding and ConstructionEnvironmental Science (miscellaneous)Energy Engineering and Power TechnologyHardware and ArchitectureComputer Networks and CommunicationsManagement, Monitoring, Policy and Law
Abstract
Intelligent information technology (IIT) based on AI and intelligent network communication technology is rapidly changing the social structure and the personal lives. However, IIT acceptancefrom various perspectives still requires extensive research. The research question in this paper examines how five factors—psychological, technological, resource, risk perception, and value factors—influence IIT acceptance. Based on an analysis of survey data, it was first found that the acceptance rate of IIT itself was generally very high. Second, in terms of IIT acceptance, among twenty-five predictors, voluntariness (+), positive image of technology (+), performance expectancy (+), relative advantage (+), radical innovation (+), and experience of use (+) were found to have significant effects on the IIT acceptance. Third, in addition to technological factors, psychological factors and risk perception factors also played an important role in individuals’ decisions regarding IIT acceptance.
ISSN
2071-1050
Language
eng
URI
https://dspace.ajou.ac.kr/dev/handle/2018.oak/32485
DOI
https://doi.org/10.3390/su14010579
Fulltext

Type
Article
Funding
Acknowledgments: This work was supported by KISDI and Ajou University Research Fund.Funding: This research was funded by KISDI and Ajou University.
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Kim, Donggeun  Image
Kim, Donggeun 김동근
Department of Economics
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