IDEAS home Printed from https://ideas.repec.org/a/spr/futbus/v11y2025i1d10.1186_s43093-025-00621-8.html
   My bibliography  Save this article

A comprehensive conceptual model of digital transformation in public services: exploring key factors and their impact on government success

Author

Listed:
  • Yaser Hasan Al-Mamary

    (Department of Management and Information Systems, College of Business Administration, University of Ha’il)

  • Mohammad Alshallaqi

    (College of Business, Alfaisal University)

  • Aliyu Alhaji Abubakar

    (Department of Management and Information Systems, College of Business Administration, University of Ha’il)

  • Wail Alhakimi

    (Department of Marketing, Faculty of Business Administration, University of Tabuk)

  • Homoud Alhaidan

    (Department of Management and Information Systems, College of Business Administration, University of Ha’il)

Abstract

This study investigates the relationship between Digital Transformation and Government Success through a structural model which combines UTAUT and GAM theory concepts with variables such as perceived awareness, availability of resources (AOR), perceived information quality (PIQ), trust, perceived service response, performance expectancy (PE), effort expectancy, social influence and facilitating conditions. The research confirms these determinants in the Saudi Arabian public sector through an online survey of 309 Saudi citizens living in different parts of the Kingdom, using SmartPLS 4.0 for robust partial least squares structural equation modeling (PLS-SEM) analysis to uncover complex construct-level relationships. The analysis of the data shows that performance expectancy (PE), effort expectancy (EE), social influence (SI) and facilitating conditions (FC) have a significant impact on government success in Saudi Arabia. The bootstrapping analysis shows how these factors positively affect attitude, which in turn affects behavioral intention (BI). The research highlights the essential nature of these exogenous variables especially when considering sustainable cities and societal advancement because they play a crucial role in public sector success. The research develops an empirical model that identifies the specific factors affecting Government Success and provides detailed managerial recommendations for improvement that support sustainability goals. Therefore, enhancing factors such as performance expectancy, effort expectancy, social influence, and facilitating conditions will collectively promote citizen engagement and adoption of digital services, thereby advancing Saudi Arabia’s smart-city initiatives and supporting its broader sustainability goals outlined in Vision 2030.

Suggested Citation

  • Yaser Hasan Al-Mamary & Mohammad Alshallaqi & Aliyu Alhaji Abubakar & Wail Alhakimi & Homoud Alhaidan, 2025. "A comprehensive conceptual model of digital transformation in public services: exploring key factors and their impact on government success," Future Business Journal, Springer, vol. 11(1), pages 1-20, December.
  • Handle: RePEc:spr:futbus:v:11:y:2025:i:1:d:10.1186_s43093-025-00621-8
    DOI: 10.1186/s43093-025-00621-8
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1186/s43093-025-00621-8
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.

    File URL: https://libkey.io/10.1186/s43093-025-00621-8?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to

    for a different version of it.

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;

    Statistics

    Access and download statistics

    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:spr:futbus:v:11:y:2025:i:1:d:10.1186_s43093-025-00621-8. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.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.