IDEAS home Printed from https://ideas.repec.org/a/igg/rmj000/v34y2021i3p1-20.html
   My bibliography  Save this article

Exploring Factors Determining Chinese College Students' Satisfaction With E-Government Services: The Technology Acceptance Model (TAM) Approach

Author

Listed:
  • Isaac Kofi Mensah

    (School of Economics and Management, Jiangxi University of Science and Technology, China)

  • Chuanyong Luo

    (School of Economics and Management, East China Jiaotong University, China)

Abstract

This study explored the factors determining students' satisfaction with electronic government services. The population of the study was 411 college students in Ganzhou City, Jiangxi Province, China. The technology acceptance model (TAM) was used as the research model and structural equation modeling (SEM) using Smart PLS 3.0 for the statistical analysis. The results showed that perceived usefulness, perceived ease of use, student trust, content quality, and service quality were significant determinants of student satisfaction with e-government services. Both content quality and service quality were significant predictors of the perceived usefulness of e-government services. Importantly, the study revealed that student satisfaction with e-government services was significant in influencing student intention to recommend e-government services adoption. The managerial consequences of these research outcomes on the development and diffusion of electronic government are deliberated.

Suggested Citation

  • Isaac Kofi Mensah & Chuanyong Luo, 2021. "Exploring Factors Determining Chinese College Students' Satisfaction With E-Government Services: The Technology Acceptance Model (TAM) Approach," Information Resources Management Journal (IRMJ), IGI Global, vol. 34(3), pages 1-20, July.
    • Handle: RePEc:igg:rmj000:v:34:y:2021:i:3:p:1-20
    as

    Download full text from publisher

    File URL: http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/IRMJ.2021070101
    Download Restriction: no
    ---><---

    More about this item

    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:igg:rmj000:v:34:y:2021:i:3:p:1-20. 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: Journal Editor (email available below). General contact details of provider: https://www.igi-global.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.