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Factors Determining the Use of E-Government Services: An Empirical Study on Russian Students in China

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  • Isaac Kofi Mensah

    (School of Management, Harbin Institute of Technology, Harbin, China)

  • Piankova Vera

    (Harbin Institute of Technology, Harbin, China)

  • Jianing Mi

    (School of Management, Harbin Institute of Technology, Harbin, China)

Abstract

E-government adoption studies have often focused on predictors determining the use of e-government services from a citizen-specific country without considering other foreign nationals domiciling in such countries. This study, therefore, sought to investigate the willingness of Russian students in China to use e-government services. The Technology Acceptance Model (TAM) was used as the theoretical framework while the data capture and analysis were done with SPSS. The results indicate that perceived ease of use, perceived service quality, trust, and language were significant in determining the willingness to use e-government services. Language also had a positive impact on the perceived service quality and perceived ease of use. Perceived usefulness was however not significant in influencing the willingness to use. Age, gender and education had a significant direct impact on the perceived ease of use of e-government services. These demographic factors were not significant in deciding the perceived usefulness. The implications of these findings are discussed.

Suggested Citation

  • Isaac Kofi Mensah & Piankova Vera & Jianing Mi, 2018. "Factors Determining the Use of E-Government Services: An Empirical Study on Russian Students in China," International Journal of E-Adoption (IJEA), IGI Global, vol. 10(2), pages 1-19, July.
    • Handle: RePEc:igg:jea000:v:10:y:2018:i:2:p:1-19
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    File URL: http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/IJEA.2018070101
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    Cited by:

    1. Sonuç Zorali & Kamil Kanipek, 2023. "An Empirical Research on the Determination of Effective Factors in E-Government Acceptance and Use: Northern Cyprus Case," SAGE Open, , vol. 13(4), pages 21582440231, December.

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