Adoption of e-government by Indonesian state universities: An application of Technology Acceptance Model

  • Received January 27, 2022;
    Accepted March 3, 2022;
    Published March 21, 2022
  • Author(s)
  • DOI
    http://dx.doi.org/10.21511/ppm.20(1).2022.32
  • Article Info
    Volume 20 2022, Issue #1, pp. 396-406
  • TO CITE АНОТАЦІЯ
  • Cited by
    5 articles
  • 768 Views
  • 376 Downloads

Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 International License

E-government is the use of internet platforms to deliver governmental services to citizens with the goal of improving government efficiency, transparency, and participation. This study aims to find out what factors determine the rate at which public university in Indonesians accept e-government services. This study uses the Technology Acceptance Model (TAM). TAM is a traditional model of technology diffusion that is an essential conceptual criterion. It drives acceptance consisting of perceived usefulness and perceived ease of use. The results of this paper back up the original TAM hypothesis. Based on the data collected and analyzed, the study concludes that three influencing factors, namely perceived usefulness (PU), perceived ease of use (PEU), and perceived risk (PR), are significantly related to the intention to use e-commerce government. However, trust and social influence do not significantly affect the intention to use e-government services. This paper has significant implications for policymakers and government officials who want to see the growth of e-government usage in Indonesia. When attempting to market a new online system from the perspective of human-computer interaction, it becomes evident that designers must consider how users perceive the risks.

view full abstract hide full abstract
    • Table 1. Measurement of variables
    • Table 2. Description of respondents
    • Table 3. Descriptive statistics
    • Table 4. Reliability and convergent validity
    • Table 5. PLS path algorithm and bootstrapping
    • Conceptualization
      Khoirul Aswar, Ermawati Ermawati
    • Data curation
      Khoirul Aswar, Ermawati Ermawati, Wisnu Juliyanto, Andreas Andreas, Meilda Wiguna
    • Methodology
      Khoirul Aswar, Ermawati Ermawati, Wisnu Juliyanto
    • Resources
      Khoirul Aswar, Meilda Wiguna
    • Software
      Khoirul Aswar, Ermawati Ermawati, Andreas Andreas
    • Writing – original draft
      Khoirul Aswar, Ermawati Ermawati
    • Writing – review & editing
      Khoirul Aswar, Ermawati Ermawati
    • Formal Analysis
      Ermawati Ermawati, Andreas Andreas
    • Supervision
      Ermawati Ermawati
    • Validation
      Ermawati Ermawati, Wisnu Juliyanto, Meilda Wiguna
    • Investigation
      Wisnu Juliyanto
    • Project administration
      Andreas Andreas, Meilda Wiguna