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Examining the impact of behavioral factors on the intention of adopting E-government services: An empirical study on the hard-to-reach groups in Macao SAR, China

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  • Iong, Kit Yeng
  • Phillips, Jenny O.L.

Abstract

In government studies, electronic government has become a hot topic in recent decades. Many scholars believe that soon, the government might not be able to operate smoothly without the help of ICTs as the Internet has been overwhelming people's daily lives already. In analyzing people's behavioral factors towards adopting e-government services, most studies targeted the adult population, while those in the hard-to-reach groups are minimal. This study was designed especially to understand the behavioral factors of the younger generation aged between 18 and 24 and the senior citizens above 60 on their adoption of e-government services in Macao SAR. Sixteen in-depth interviews were conducted based on the semi-structured interview questions developed from the prior literature on the Theory of Planned Behavior and e-government studies. Six significant findings are yielded, which could serve as an important reference for policymakers designing e-government policy and promoting its implementation strategy. These behavioral factors also contribute empirical data to support the theoretical framework of TPB in the context of Macao SAR e-government services.

Suggested Citation

  • Iong, Kit Yeng & Phillips, Jenny O.L., 2022. "Examining the impact of behavioral factors on the intention of adopting E-government services: An empirical study on the hard-to-reach groups in Macao SAR, China," Technology in Society, Elsevier, vol. 71(C).
    • Handle: RePEc:eee:teinso:v:71:y:2022:i:c:s0160791x22002482
    DOI: 10.1016/j.techsoc.2022.102107
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    1. Hasan Zahid & Badariah Haji Din, 2019. "Determinants of Intention to Adopt E-Government Services in Pakistan: An Imperative for Sustainable Development," Resources, MDPI, vol. 8(3), pages 1-25, July.
    2. Johnson, Nathan & Turnbull, Benjamin & Reisslein, Martin, 2022. "Social media influence, trust, and conflict: An interview based study of leadership perceptions," Technology in Society, Elsevier, vol. 68(C).
    3. Kieran Mathieson, 1991. "Predicting User Intentions: Comparing the Technology Acceptance Model with the Theory of Planned Behavior," Information Systems Research, INFORMS, vol. 2(3), pages 173-191, September.
    4. Bandura, Albert, 1991. "Social cognitive theory of self-regulation," Organizational Behavior and Human Decision Processes, Elsevier, vol. 50(2), pages 248-287, December.
    5. Ajzen, Icek, 1991. "The theory of planned behavior," Organizational Behavior and Human Decision Processes, Elsevier, vol. 50(2), pages 179-211, December.
    6. Kim, Chelsea & Feng, Bo, 2021. "Digital inequality in online reciprocity between generations: A preliminary exploration of ability to use communication technology as a mediator," Technology in Society, Elsevier, vol. 66(C).
    7. Jose A. Puppim De Oliveira & Yijia Jing & Paul Collins & Shuhua Monica Liu & Qianli Yuan, 2015. "The Evolution of Information and Communication Technology in Public Administration," Public Administration & Development, Blackwell Publishing, vol. 35(2), pages 140-151, May.
    8. Nripendra P. Rana & Yogesh K. Dwivedi & Michael D. Williams, 2015. "A meta-analysis of existing research on citizen adoption of e-government," Information Systems Frontiers, Springer, vol. 17(3), pages 547-563, June.
    9. Perdana, Arif & Mokhtar, Intan Azura, 2022. "Seniors’ adoption of digital devices and virtual event platforms in Singapore during Covid-19," Technology in Society, Elsevier, vol. 68(C).
    10. Kim, Miyea & Oh, Joohyun & Kim, Beomsoo, 2021. "Experience of digital music services and digital self-efficacy among older adults: Enjoyment and anxiety as mediators," Technology in Society, Elsevier, vol. 67(C).
    11. Tirado-Morueta, Ramón & Aguaded-Gómez, José Ignacio & Hernando-Gómez, Ángel, 2018. "The socio-demographic divide in Internet usage moderated by digital literacy support," Technology in Society, Elsevier, vol. 55(C), pages 47-55.
    12. Gary C. Moore & Izak Benbasat, 1991. "Development of an Instrument to Measure the Perceptions of Adopting an Information Technology Innovation," Information Systems Research, INFORMS, vol. 2(3), pages 192-222, September.
    13. Zhang, Nan & Hwang, Bon-Gang & Lu, Yujie & Ngo, Jasmine, 2022. "A Behavior theory integrated ANN analytical approach for understanding households adoption decisions of residential photovoltaic (RPV) system," Technology in Society, Elsevier, vol. 70(C).
    14. Si Ying Tan & Araz Taeihagh, 2020. "Smart City Governance in Developing Countries: A Systematic Literature Review," Sustainability, MDPI, vol. 12(3), pages 1-29, January.
    15. Jaeki Song & Fatemeh Mariam Zahedi, 2005. "A Theoretical Approach to Web Design in E-Commerce: A Belief Reinforcement Model," Management Science, INFORMS, vol. 51(8), pages 1219-1235, August.
    16. 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.
    17. Vincent Dutot, 2014. "Adoption of Social Media Using Technology Acceptance Model: The Generational Effect," International Journal of Technology and Human Interaction (IJTHI), IGI Global, vol. 10(4), pages 18-35, October.
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