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Behavioral Intention Towards Mobile Banking in India: The Case of State Bank of India (SBI)

Author

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  • N. Thamarai Selvan

    (National Institute of Technology, India)

  • B. Senthil Arasu

    (National Institute of Technology, India)

  • M. Sivagnanasundaram

    (Kirloskar Institute of Advanced Management Studies, India)

Abstract

The rapid growth of mobile technologies and devices makes it possible for the customers of banking services to conduct banking at any place and at any time. Today, most of the banks in the world provide mobile access to its customers for banking as mobile banking systems improve their efficiency and reduce transaction costs. Banks invested heavily in the mobile banking system hoping that its customers would embrace it with open arms. Contrary to the expectation, the lukewarm patronage to mobile banking makes it crucial to understand the factors that contribute to users’ intention to use mobile banking. This study extends the applicability of technology acceptance model (TAM) to the mobile banking context. Based on the review of literature, few additional constructs were added to the TAM. Structural equation modeling (SEM) was used to test the casual relationships proposed. Findings of the study support the proposed model’s ability of explaining the users’ intention to adopt mobile banking.

Suggested Citation

  • N. Thamarai Selvan & B. Senthil Arasu & M. Sivagnanasundaram, 2011. "Behavioral Intention Towards Mobile Banking in India: The Case of State Bank of India (SBI)," International Journal of E-Services and Mobile Applications (IJESMA), IGI Global, vol. 3(4), pages 37-56, October.
    • Handle: RePEc:igg:jesma0:v:3:y:2011:i:4:p:37-56
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    Cited by:

    1. Dan Johansson & Karl Andersson, 2015. "Mobile e-Services: State of the Art, Focus Areas, and Future Directions," International Journal of E-Services and Mobile Applications (IJESMA), IGI Global, vol. 7(2), pages 1-24, April.
    2. Jadil, Yassine & Rana, Nripendra P. & Dwivedi, Yogesh K., 2021. "A meta-analysis of the UTAUT model in the mobile banking literature: The moderating role of sample size and culture," Journal of Business Research, Elsevier, vol. 132(C), pages 354-372.

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