IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v14y2022i3p1624-d738693.html
   My bibliography  Save this article

Effects of Application of Information on the Expectations of Benefits from GaaP: Moderating Effects from Perceptions of IIT

Author

Listed:
  • Hyungjun Seo

    (Center for Security Convergence and eGovernance, Inha University, Michuhol-gu, Inharo-100, Incheon 22212, Korea)

  • Seunghwan Myeong

    (Department of Public Administration, Inha University, Michuhol-gu, Inharo-100, Incheon 22212, Korea)

Abstract

In the age of digital transformation, this study aims to reveal the determinant factors of the expectations of public officials of the benefits from Government as a Platform (GaaP). This study utilizes information as an independent variable, with the perception of intelligent information technologies (IIT) as a moderating variable, along with practical effects from three types of GaaP (cooperative GaaP, intelligent GaaP, and transparent GaaP) as dependent variables in establishing our research model. We conducted multiple regression analysis and moderating effect analysis to verify the proposed hypotheses. The robust regression relation analysis was adopted to solve outlier problems. Based on the results, we recommend that governments promote favorable circumstances for using information and that all government officials should get used to utilizing IIT in their jobs. The government also needs to adopt the bottom-up approach for adopting IIT or innovation. We also found that leaders need to be careful when considering a top-down approach in the public sector because strong leadership is a double-edged sword.

Suggested Citation

  • Hyungjun Seo & Seunghwan Myeong, 2022. "Effects of Application of Information on the Expectations of Benefits from GaaP: Moderating Effects from Perceptions of IIT," Sustainability, MDPI, vol. 14(3), pages 1-25, January.
    • Handle: RePEc:gam:jsusta:v:14:y:2022:i:3:p:1624-:d:738693
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/14/3/1624/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/14/3/1624/
    Download Restriction: no
    ---><---

    Citations

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


    Cited by:

    1. Guangying Xie & Shengyan Wu & Zhengjiang Song, 2022. "Focus on Innovation or Focus on Sales? The Influences of the Government of China’s Demand-Side Reform during COVID-19 and Their Sustainability Consequences in the Consumer Products Industry," Sustainability, MDPI, vol. 14(20), pages 1-21, October.

    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:1624-:d:738693. 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.