IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v14y2022i1p579-d718350.html
   My bibliography  Save this article

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

Author

Listed:
  • 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)

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.

Suggested Citation

  • Ierei Park & Donggeun Kim & Jungwook Moon & Seoyong Kim & Youngcheoul Kang & Sangseok Bae, 2022. "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 Re," Sustainability, MDPI, vol. 14(1), pages 1-29, January.
    • Handle: RePEc:gam:jsusta:v:14:y:2022:i:1:p:579-:d:718350
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/14/1/579/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/14/1/579/
    Download Restriction: no
    ---><---

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Dr. Arif Anjum, 2023. "An Overview of Technology Acceptance and Adoption Models in the aftermath of COVID-19," Indian Journal of Commerce and Management Studies, Educational Research Multimedia & Publications,India, vol. 14(1), pages 01-10, January.
    2. Scuotto, Veronica & Tzanidis, Theofilos & Usai, Antonio & Quaglia, Roberto, 2023. "The digital humanism era triggered by individual creativity," Journal of Business Research, Elsevier, vol. 158(C).
    3. Feliciano-Cestero, María M. & Ameen, Nisreen & Kotabe, Masaaki & Paul, Justin & Signoret, Mario, 2023. "Is digital transformation threatened? A systematic literature review of the factors influencing firms’ digital transformation and internationalization," Journal of Business Research, Elsevier, vol. 157(C).

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jsusta:v:14:y:2022:i:1:p:579-:d:718350. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.