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The Impact of Political Efficacy on Citizens’ E-Participation in Digital Government

Author

Listed:
  • Ruqiang Lai

    (Faculty of Business and Economics, Universiti Malaya, Kuala Lumpur 50603, Malaysia)

  • Loo-See Beh

    (Faculty of Business and Economics, Universiti Malaya, Kuala Lumpur 50603, Malaysia
    School of Business and Technology, IMU University, Kuala Lumpur 57000, Malaysia)

Abstract

Citizens’ e-participation determines the successes and failures of digital government or e-government. However, its results to date have not been satisfactory. IT adoption models dominate previous studies. However, citizens’ psychological factors have been overlooked. The field has fallen into the trap of “technological solutionism.” This research focuses on political efficacy and collected self-reported data from 388 respondents through an online questionnaire. Partial Least Squares Structural Equation Modeling was carried out for data analyses. The results showed that e-participation intention positively affects e-participation behavior. Both internal political efficacy and external political efficacy have a positive significant relationship with e-participation intention. Additionally, descriptive analysis results revealed the relationships between citizens’ demographic factors and their influence on e-participation, including gender, age, monthly income, education level, political affiliation, and occupation. This research provides further empirical evidence and insightful knowledge for scholars, enriching political efficacy theory. Government officials can benefit from this research where targeted measures can be developed.

Suggested Citation

  • Ruqiang Lai & Loo-See Beh, 2025. "The Impact of Political Efficacy on Citizens’ E-Participation in Digital Government," Administrative Sciences, MDPI, vol. 15(1), pages 1-23, January.
    • Handle: RePEc:gam:jadmsc:v:15:y:2025:i:1:p:17-:d:1560668
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    References listed on IDEAS

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    2. LEBRUMENT, Norbert & ZUMBO-LEBRUMENT, Cédrine & ROCHETTE, Corinne & ROULET, Thomas J., 2021. "Triggering participation in smart cities: Political efficacy, public administration satisfaction and sense of belonging as drivers of citizens’ intention," Technological Forecasting and Social Change, Elsevier, vol. 171(C).
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    5. Yingying Ma & Chenlei Leng & Hansheng Wang, 2024. "Optimal Subsampling Bootstrap for Massive Data," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 42(1), pages 174-186, January.
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