An investigation of the factors affecting citizens’ adoption of e-government in Indonesia

  • Received September 4, 2022;
    Accepted January 13, 2023;
    Published April 11, 2023
  • Author(s)
  • DOI
    http://dx.doi.org/10.21511/ppm.21(2).2023.21
  • Article Info
    Volume 21 2023, Issue #2, pp. 187-197
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This work is licensed under a Creative Commons Attribution 4.0 International License

The citizen acceptance of e-government is widely researched in industrialized nations; however, only a few studies have looked at the adoption of e-government in developing nations, including Indonesia. This study aims to identify the elements influencing Indonesian citizens’ acceptance of electronic governance. The following models are suggested to achieve this purpose: the information system success model (ISSM) and the technology adoption model (TAM). The sample includes 735 respondents in Indonesia; the self-selection convenience sampling technique was used in this study. The findings indicated that perceived usefulness is positively impacted by system quality (β = 0.113; p < 0.05), information quality (β = 0.502; p < 0.05), and service quality (β = 0.285; p < 0.05). Furthermore, considering the TAM model, perceived usefulness (β = 0.762; p < 0.05) has a favorable impact on intentions to use e-government, and intention to use (β = 0.502; p < 0.05) favorably influences user behavior. The findings of this study advance theoretical knowledge by developing and validating an integrated model for the effect of e-government adoption, information quality, system quality, and service quality on perceived usefulness. Risks may be lessened by enhancing the systems and capabilities that enable citizens to use e-government. Additionally, this paper offers various recommendations for improving and promoting e-government in Indonesia.

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    • Table 1. Independent variables
    • Table 2. Demographic statistics
    • Table 3. Descriptive statistics
    • Table 4. Validity and reliability
    • Table 5. PLS path algorithm and bootstrapping
    • Conceptualization
      Khoirul Aswar, Wisnu Julianto
    • Data curation
      Khoirul Aswar, Wisnu Julianto, Mahendro Sumardjo, Ingrid Panjaitan
    • Methodology
      Khoirul Aswar, Wisnu Julianto, Mahendro Sumardjo, Ingrid Panjaitan, Azwir Nasir
    • Resources
      Khoirul Aswar
    • Software
      Khoirul Aswar, Wisnu Julianto
    • Visualization
      Khoirul Aswar
    • Writing – original draft
      Khoirul Aswar, Wisnu Julianto
    • Writing – review & editing
      Khoirul Aswar, Wisnu Julianto, Mahendro Sumardjo, Ingrid Panjaitan, Azwir Nasir
    • Formal Analysis
      Wisnu Julianto, Azwir Nasir
    • Supervision
      Wisnu Julianto
    • Validation
      Wisnu Julianto, Mahendro Sumardjo, Ingrid Panjaitan, Azwir Nasir
    • Investigation
      Mahendro Sumardjo, Ingrid Panjaitan, Azwir Nasir