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The impact of perceived risks on internet banking adoption in Iran: a longitudinal survey

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  • Hamid Reza Khedmatgozar

    (Iranian Research Institute for Information Science and Technology (IRANDOC))

Abstract

This paper tried to investigate the trend of changes in severity and the impact of dimensions of perceived risks by customers on their intention to adoption of internet banking (IB) by a longitudinal survey. In order to achieve this goal, based on the perceived risk theory, two surveys were conducted using the same research method in 2009 and 2019 in the Iranian context. The results showed that while the effect of all dimensions of perceived risk in both surveys (except social risk) to adoption of IB were significant, the severity and effect of security and privacy risks increased, time risk decreased and financial and performance risks remained unchanged. Finally, based on the analysis of these results, suggestions were made to modify and optimize banking strategies and policies in order to have a greater impact on reducing these risks.

Suggested Citation

  • Hamid Reza Khedmatgozar, 2021. "The impact of perceived risks on internet banking adoption in Iran: a longitudinal survey," Electronic Commerce Research, Springer, vol. 21(1), pages 147-167, March.
    • Handle: RePEc:spr:elcore:v:21:y:2021:i:1:d:10.1007_s10660-021-09475-y
    DOI: 10.1007/s10660-021-09475-y
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    References listed on IDEAS

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    6. Hamid Reza Khedmatgozar & Arezoo Shahnazi, 2018. "The role of dimensions of perceived risk in adoption of corporate internet banking by customers in Iran," Electronic Commerce Research, Springer, vol. 18(2), pages 389-412, June.
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    Cited by:

    1. Simarpreet Kaur & Sangeeta Arora, 2023. "Understanding customers’ usage behavior towards online banking services: an integrated risk–benefit framework," Journal of Financial Services Marketing, Palgrave Macmillan, vol. 28(1), pages 74-98, March.
    2. Chen, Liuyan & Wu, Pengkun & Dou, Yudan & Wu, Yuanyuan, 2023. "Investigating senders’ switching intention to smart lockers: An extension of push-pull-mooring model," Journal of Retailing and Consumer Services, Elsevier, vol. 74(C).
    3. Dmytro Kovalenko & Olga Afanasieva & Nani Zabuta & Tetiana Boiko & Rosen Rosenov Baltov, 2021. "Model of Assessing the Overdue Debts in a Commercial Bank Using Neuro-Fuzzy Technologies," JRFM, MDPI, vol. 14(5), pages 1-20, May.

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