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 Sustainability

Ierei Park, Donggeun Kim, Jungwook Moon, Seoyong Kim, Youngcheoul Kang and Sangseok Bae
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Ierei Park: Graduate School of Public Administration, Yonsei University, Seoul 03722, Korea
Donggeun Kim: Department of Economics, Ajou University, Suwon 16499, Korea
Jungwook Moon: Center for AI & Social Policy, Korea Information Society Development Institute (KISDI), Jincheon-gun 27872, Korea
Seoyong Kim: Department of Public Administration, Ajou University, Suwon 16499, Korea
Youngcheoul Kang: Graduate School of Public Administration, Korea University, Sejong 30019, Korea
Sangseok Bae: Department of Public Administration, Ajou University, Suwon 16499, Korea

Sustainability, 2022, vol. 14, issue 1, 1-29

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.

Keywords: technology acceptance model (TAM); adoption of technology; digital transformation; intelligent information technology; risk perception; digital innovation (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2022
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Citations: View citations in EconPapers (3)

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