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The Effect of Gender, Age, and Education on the Adoption of Mobile Government Services

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  • Isaac Kofi Mensah

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

  • Guohua Zeng

    (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 important role of demographic factors such as gender, age, and education in the adoption of mobile government (m-government) services. The Unified Theory of Acceptance and Use of Technology (UTAUT) model was used as the theoretical foundation whiles the data was captured and analyzed with SPSS and SmartPLS. The results have demonstrated that gender is a significant predictor of both the intention to use and performance expectancy of m-government services. However, gender does not determine mobile self-efficacy. In addition, age and education were both were significant predictors of performance expectancy, mobile self-efficacy and the intention to use m-government services respectively. The implications of these and other findings of the study are thoroughly discussed.

Suggested Citation

  • Isaac Kofi Mensah & Guohua Zeng & Chuanyong Luo, 2020. "The Effect of Gender, Age, and Education on the Adoption of Mobile Government Services," International Journal on Semantic Web and Information Systems (IJSWIS), IGI Global, vol. 16(3), pages 35-52, July.
    • Handle: RePEc:igg:jswis0:v:16:y:2020:i:3:p:35-52
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    Cited by:

    1. Alba Vázquez-López & Martín Barrasa-Rioja & Manuel Marey-Perez, 2021. "ICT in Rural Areas from the Perspective of Dairy Farming: A Systematic Review," Future Internet, MDPI, vol. 13(4), pages 1-18, April.
    2. Alba Vázquez-López & Manuel Marey-Perez, 2021. "Factors Affecting e-Government Adoption by Dairy Farmers: A Case Study in the North-West of Spain," Future Internet, MDPI, vol. 13(8), pages 1-17, August.

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