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Assessing Citizens’ Attitudes and Intentions to Adopt E-Government Services: A Roadmap toward Sustainable Development

Author

Listed:
  • Yongrong Xin

    (Business School, Jiangsu Open University, Nanjing 210036, China)

  • Azer Dilanchiev

    (Faculty of Business and Technologies, International Black Sea University, 0131 Tbilisi, Georgia)

  • Madad Ali

    (School of Economics and Management, Qujing Normal University, Qujing 655011, China)

  • Muhammad Irfan

    (School of Management and Economics, Beijing Institute of Technology, Beijing 100081, China
    Center for Energy and Environmental Policy Research, Beijing Institute of Technology, Beijing 100081, China
    Department of Business Administration, ILMA University, Karachi 75190, Pakistan)

  • Yangxiao Hong

    (School of Ethnology, North Minzu University, Yinchuan 750030, China)

Abstract

Technological advances have ushered in the era of “e-services.” Scientists and academics are trying to determine how e-services affect citizens’ lives, satisfaction, and future service quality. As e-government emerges, this knowledge leads to improved frameworks for delivering e-services. This study examined the factors influencing Pakistanis to adopt e-government services, particularly those living abroad. Online surveys (structured questionnaires) were administered primarily among Pakistani citizens, including those residing in China and Turkey, via social media networking techniques. Purposive convenience sampling was used, 599 people were surveyed, and the results were considered complete enough to analyze. Structured equation modeling (SEM) and Amos were used to interpret quantitative research results. Results show that values are strongly correlated with expectations about others’ efforts. An invaluable feature of e-government services is their simplicity of use. It may be possible for policymakers to overcome barriers to e-government by using these research findings.

Suggested Citation

  • 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.
  • Handle: RePEc:gam:jsusta:v:14:y:2022:i:22:p:15183-:d:974214
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    References listed on IDEAS

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    1. Fred D. Davis & Richard P. Bagozzi & Paul R. Warshaw, 1989. "User Acceptance of Computer Technology: A Comparison of Two Theoretical Models," Management Science, INFORMS, vol. 35(8), pages 982-1003, August.
    2. Park, Eunil & Ohm, Jay Y., 2014. "Factors influencing the public intention to use renewable energy technologies in South Korea: Effects of the Fukushima nuclear accident," Energy Policy, Elsevier, vol. 65(C), pages 198-211.
    3. Anil Gupta & Nikita Dogra, 2017. "Tourist adoption of mapping apps: a UTAUT2 perspective of smart travellers," Tourism and Hospitality Management, University of Rijeka, Faculty of Tourism and Hospitality Management, vol. 23(2), pages 145-1416-1, November.
    4. Rod Duclos & Alixandra Barasch, 2014. "Prosocial Behavior in Intergroup Relations: How Donor Self-Construal and Recipient Group-Membership Shape Generosity," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 41(1), pages 93-108.
    5. Emel Yarimoglu & Gul Binboga, 2019. "Understanding sustainable consumption in an emerging country: The antecedents and consequences of the ecologically conscious consumer behavior model," Business Strategy and the Environment, Wiley Blackwell, vol. 28(4), pages 642-651, May.
    6. Cham, Dawda, 2022. "Exploring the efficacy of e-government models through information systems management-case of The Gambia," MPRA Paper 113400, University Library of Munich, Germany.
    7. 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.
    8. Shirley Taylor & Peter A. Todd, 1995. "Understanding Information Technology Usage: A Test of Competing Models," Information Systems Research, INFORMS, vol. 6(2), pages 144-176, June.
    9. John McMillan & Christopher Woodruff, 2002. "The Central Role of Entrepreneurs in Transition Economies," Journal of Economic Perspectives, American Economic Association, vol. 16(3), pages 153-170, Summer.
    10. Abdul Rauf & Ilhan Ozturk & Fayyaz Ahmad & Khurram Shehzad & Abbas Ali Chandiao & Muhammad Irfan & Saira Abid & Li Jinkai, 2021. "Do Tourism Development, Energy Consumption and Transportation Demolish Sustainable Environments? Evidence from Chinese Provinces," Sustainability, MDPI, vol. 13(22), pages 1-23, November.
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