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E-Government Services Adoption: An Extension of the Unified Model of Electronic Government Adoption

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  • Isaac Kofi Mensah
  • Guohua Zeng
  • Chuanyong Luo

Abstract

This study proposed and validated an extension of the unified model of electronic government adoption (UMEGA). The data analysis was conducted with a structural equation modeling technique using Smart PLS 3.0. The results have demonstrated contrary to expectations that performance expectancy, effort expectancy, and social influence do not predict the attitude toward the use of e-government services. Facilitating conditions, however, were found to significantly determine both the behavioral intention to use and effort expectancy of e-government services. Also, perceived service quality and trust in government were found to positively predict, respectively, the intention to use and recommend the adoption of e-government services. The implications of these and other result findings of this study are thoroughly interrogated.

Suggested Citation

  • Isaac Kofi Mensah & Guohua Zeng & Chuanyong Luo, 2020. "E-Government Services Adoption: An Extension of the Unified Model of Electronic Government Adoption," SAGE Open, , vol. 10(2), pages 21582440209, June.
  • Handle: RePEc:sae:sagope:v:10:y:2020:i:2:p:2158244020933593
    DOI: 10.1177/2158244020933593
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    References listed on IDEAS

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    8. repec:ucp:bkecon:9780226316529 is not listed on IDEAS
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    Cited by:

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    2. Alexandra Lavinia Horobeț & Irina Mnohoghitnei & Emanuela Marinela Luminița Zlatea & Alexandra Smedoiu-Popoviciu, 2023. "Determinants of E-Government Use in the European Union: An Empirical Analysis," Societies, MDPI, vol. 13(6), pages 1-17, June.
    3. Issam AlHadid & Evon Abu-Taieh & Rami S. Alkhawaldeh & Sufian Khwaldeh & Ra’ed Masa’deh & Khalid Kaabneh & Ala’Aldin Alrowwad, 2022. "Predictors for E-Government Adoption of SANAD App Services Integrating UTAUT, TPB, TAM, Trust, and Perceived Risk," IJERPH, MDPI, vol. 19(14), pages 1-26, July.
    4. Yongrong Xin & Azer Dilanchiev & Madad Ali & Muhammad Irfan & Yangxiao Hong, 2022. "Assessing Citizens’ Attitudes and Intentions to Adopt E-Government Services: A Roadmap toward Sustainable Development," Sustainability, MDPI, vol. 14(22), pages 1-15, November.
    5. Saeed Badghish & Yasir Ali Soomro, 2024. "Artificial Intelligence Adoption by SMEs to Achieve Sustainable Business Performance: Application of Technology–Organization–Environment Framework," Sustainability, MDPI, vol. 16(5), pages 1-24, February.
    6. 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.
    7. Wenjuan Li & Lan Xue, 2021. "Analyzing the Critical Factors Influencing Post-Use Trust and Its Impact on Citizens’ Continuous-Use Intention of E-Government: Evidence from Chinese Municipalities," Sustainability, MDPI, vol. 13(14), pages 1-18, July.
    8. 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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