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The adoption of M-government services from the user’s perspectives: Empirical evidence from the United Arab Emirates

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  • Ahmad, Syed Zamberi
  • Khalid, Khalizani

Abstract

The primary aim of this study is to examine the factors that predict end users’ intention to adopt mobile government (m-government) services in a developing country. The research is based upon a self-administered questionnaire survey of 120 current users’ in the United Arab Emirates (UAE), a leader in m-government development in the Arab world. The study employs advanced statistical techniques to test an extended the Technology Acceptance Model (TAM) by incorporating the determinants of trust, cost, social influence, variety of services, perceived usefulness in information technology and demographic profiles. The findings revealed that trust and social influence are positively associated with end users intention to adopt m-government services in the UAE. By identifying the predictors of users’ adoption of m-government, this study provides several theoretical and practical implications related to m-government service adoption.

Suggested Citation

  • Ahmad, Syed Zamberi & Khalid, Khalizani, 2017. "The adoption of M-government services from the user’s perspectives: Empirical evidence from the United Arab Emirates," International Journal of Information Management, Elsevier, vol. 37(5), pages 367-379.
  • Handle: RePEc:eee:ininma:v:37:y:2017:i:5:p:367-379
    DOI: 10.1016/j.ijinfomgt.2017.03.008
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    References listed on IDEAS

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    Cited by:

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    5. Zijun Mao & Qi Zou & Tingting Bu & Ying Dong & Rongxiao Yan, 2023. "Understanding the Role of Service Quality of Government APPs in Continuance Intention: An Expectation–Confirmation Perspective," SAGE Open, , vol. 13(4), pages 21582440231, October.
    6. Queiroz, Maciel M. & Fosso Wamba, Samuel, 2019. "Blockchain adoption challenges in supply chain: An empirical investigation of the main drivers in India and the USA," International Journal of Information Management, Elsevier, vol. 46(C), pages 70-82.

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