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Diffusion of Innovation Theory Utilization Online Financial Transaction: Literature Review

Author

Listed:
  • Litafira Syahadiyanti

    (Department of Information Systems, Faculty of Information Technology and Communication,)

  • Apol Pribadi Subriadi

    (Institut Teknologi Sepuluh Nopember (ITS), Jl. Arief Rahman Hakim, Surabaya, 60111 Indonesia)

Abstract

Payment system is a system related to the transfer of the amount of money from one part to anotherpart. The use of online financial transactions is the implementation of technology in the paymentsystem to be faster, precise and accurate. In fact, online transaction very rarely used by the society. This review was required to analyze existing studies on the adoption of online financialtransactions. Based on the literature review conducted, there were several studies that state that notall variables included in the diffusion of innovation theory in accord with the conditions. Only afew variables were suitable for the adoption of online financial transactions at this time. There werethree conceptual models that can be considered from the results of a literature review. Thisliterature review is provided new research opportunities to prove the conceptual model of onlinefinancial transactions adoption reviewed in this paper.

Suggested Citation

  • Litafira Syahadiyanti & Apol Pribadi Subriadi, 2018. "Diffusion of Innovation Theory Utilization Online Financial Transaction: Literature Review," International Journal of Economics and Financial Issues, Econjournals, vol. 8(3), pages 219-226.
    • Handle: RePEc:eco:journ1:2018-03-27
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    References listed on IDEAS

    as
    1. Ajzen, Icek, 1991. "The theory of planned behavior," Organizational Behavior and Human Decision Processes, Elsevier, vol. 50(2), pages 179-211, December.
    2. 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.
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    More about this item

    Keywords

    Adoption; Online Financial Transaction; Diffusion of Innovation Theory;
    All these keywords.

    JEL classification:

    • G4 - Financial Economics - - Behavioral Finance
    • O3 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights
    • P2 - Political Economy and Comparative Economic Systems - - Socialist and Transition Economies

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