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Facilitator and inhibitor factors: Adopting e-government in a dual model

Author

Listed:
  • Rey-Moreno, Manuel
  • Felício, José Augusto
  • Medina-Molina, Cayetano
  • Rufín, Ramón

Abstract

This paper explores why many citizens avoid adopting e-government channels despite the apparent benefits of doing so. Theoretical support is provided by the dual factor and status quo bias theories. The study is based on questionnaire responses from a sample of users and a sample of non-users of e-government channels, with 923 valid responses in total. The use of a complementary qualitative method enhanced the study. The results verify that habit is the main inhibitor of adoption of e-government channels, while it is also the most influential factor in terms of the continuance intentions of existing users. Performance expectancy has a positive effect on continuance intention in users and intention to use in non-users. However, effort expectancy and resistance are also important for existing users. Therefore, if the administration wishes to increase citizens' use of e-government, it needs to develop different strategies for users and non-users.

Suggested Citation

  • Rey-Moreno, Manuel & Felício, José Augusto & Medina-Molina, Cayetano & Rufín, Ramón, 2018. "Facilitator and inhibitor factors: Adopting e-government in a dual model," Journal of Business Research, Elsevier, vol. 88(C), pages 542-549.
    • Handle: RePEc:eee:jbrese:v:88:y:2018:i:c:p:542-549
    DOI: 10.1016/j.jbusres.2017.11.015
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    References listed on IDEAS

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    1. Anis Khedhaouria & Roy Thurik & Calin Gurau & Eric Van Heck, 2016. "Customers' Continuance Intention Regarding Mobile Service Providers: A Status Quo Bias Perspective," Post-Print hal-02012305, HAL.
    2. Martina Schäfer & Melanie Jaeger-Erben & Sebastian Bamberg, 2012. "Life Events as Windows of Opportunity for Changing Towards Sustainable Consumption Patterns?," Journal of Consumer Policy, Springer, vol. 35(1), pages 65-84, March.
    3. 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.
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    Cited by:

    1. Rey-Moreno, Manuel & Medina-Molina, Cayetano, 2020. "Dual models and technological platforms for efficient management of water consumption," Technological Forecasting and Social Change, Elsevier, vol. 150(C).
    2. Marikyan, Davit & Papagiannidis, Savvas & Rana, Omer F. & Ranjan, Rajiv & Morgan, Graham, 2022. "“Alexa, let’s talk about my productivity”: The impact of digital assistants on work productivity," Journal of Business Research, Elsevier, vol. 142(C), pages 572-584.

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    More about this item

    Keywords

    Dual factor; E-government; Inhibitors; Facilitators; SQB; Habit;
    All these keywords.

    JEL classification:

    • H44 - Public Economics - - Publicly Provided Goods - - - Publicly Provided Goods: Mixed Markets
    • M15 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Business Administration - - - IT Management
    • M38 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Marketing and Advertising - - - Government Policy and Regulation
    • M31 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Marketing and Advertising - - - Marketing
    • O31 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Innovation and Invention: Processes and Incentives
    • O32 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Management of Technological Innovation and R&D

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