IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v14y2022i3p1215-d730261.html
   My bibliography  Save this article

Determinants for Successful Digital Transformation

Author

Listed:
  • Kyunghwan Oh

    (School of Business, Konkuk University, Seoul 05029, Korea)

  • Hyeongseog Kho

    (Digital Marketing Team, Hyosung ITX, Seoul 07212, Korea)

  • Youngjin Choi

    (Department of Healthcare Management, Eulji University, Seongnam-si 13135, Korea)

  • Seogjun Lee

    (School of Business, Konkuk University, Seoul 05029, Korea)

Abstract

The proliferation of innovative digital technology is changing the industrial ecosystem; thus, companies should have the ability to adapt to the new environment. However, the success rate of digital transformation (DT) is still low, and there is a need to know its success determinant factors. This study aims to examine factors that affect DT’s personal and social acceptance and empirically verify whether they actually affect it. Success factors and risk factors affecting the adoption of DT were identified from the literature review. The study collected data from 100 employees working for Korean financial institutions to statistically analyze and identify the determinant factors affecting successful DT. The results show that planned behavioral factors and innovative characteristics have a positive effect on DT acceptance attitude and that DT acceptance attitude has a positive effect on personal acceptance of DT. This study makes both theoretical and practical contributions. It distinguishes acceptance of innovation in two ways: individual acceptance and social acceptance, which has not been done in previous studies. It presents useful insights and understanding for those interested in transforming their organization with new technology by suggesting successful DT determinant factors.

Suggested Citation

  • Kyunghwan Oh & Hyeongseog Kho & Youngjin Choi & Seogjun Lee, 2022. "Determinants for Successful Digital Transformation," Sustainability, MDPI, vol. 14(3), pages 1-14, January.
    • Handle: RePEc:gam:jsusta:v:14:y:2022:i:3:p:1215-:d:730261
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/14/3/1215/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/14/3/1215/
    Download Restriction: no
    ---><---

    Citations

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


    Cited by:

    1. Kwek Choon Ling & Mary Lee Siew Cheng & Alina Yap May Ling & Cham Kai Sin & Zhang Li, 2023. "Readiness of Digital Transformation among Malaysian Digital Talents," International Journal of Business and Management, Canadian Center of Science and Education, vol. 18(4), pages 161-161, August.

    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:3:p:1215-:d:730261. 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.