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High Versus Low Consumer Attitude and Intention Towards Adoption of Mobile Banking in India: An Empirical Study

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  • Deepak Chawla
  • Himanshu Joshi

Abstract

Although factors influencing adoption of technology-enabled banking has been studied by many researchers, the construct perceived usefulness had been analysed as a single construct. Moreover, the measurement of perceived usefulness by researchers does not discuss sub-dimensions or sub-factors, which could contribute to perceived usefulness associated with a particular technological innovation. This article empirically examines the influence of various factors on user attitude and intention towards adopting mobile banking. Based on focus-group discussion and personal interview with bankers, technology acceptance model (TAM) and studies on technology adoption, we propose a mobile banking adoption model in Indian context. We also examine the impact of demographics on user attitude and intention. Exploratory factor analysis (EFA) on a sample of 367 respondents resulted in seven factors which were found to be reliable. Confirmatory factor analysis demonstrated significant convergent and discriminant validity. Logistic regression equation was used to estimate the degree of correct prediction of user attitude and intention towards mobile banking adoption. Perceived trust, perceived ease of use (PEOU), perceived lifestyle compatibility, perceived efficiency and perceived convenience significantly impacted user attitude. However, user attitude was not found to differ significantly between demographic variables. Similarly, perceived trust, PEOU, perceived lifestyle compatibility and perceived efficiency were found to positively and significantly affect user intention. User intention was found to significantly vary across demographic groups based on gender and household income.

Suggested Citation

  • Deepak Chawla & Himanshu Joshi, 2017. "High Versus Low Consumer Attitude and Intention Towards Adoption of Mobile Banking in India: An Empirical Study," Vision, , vol. 21(4), pages 410-424, December.
  • Handle: RePEc:sae:vision:v:21:y:2017:i:4:p:410-424
    DOI: 10.1177/0972262917733188
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    References listed on IDEAS

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    1. Sindhu Singh & R. K. Srivastava, 2014. "Factors Influencing the Adoption of Mobile Banking in India," International Journal of E-Services and Mobile Applications (IJESMA), IGI Global, vol. 6(4), pages 1-15, October.
    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.
    3. Agarwal, Reeti & Rastogi, Sanjay & Mehrotra, Ankit, 2009. "Customers’ perspectives regarding e-banking in an emerging economy," Journal of Retailing and Consumer Services, Elsevier, vol. 16(5), pages 340-351.
    4. 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.
    5. Z Liao & W K Wong, 2008. "The determinants of customer interactions with internet-enabled e-banking services," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 59(9), pages 1201-1210, September.
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