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Behavioural Intention to the Use of Mobile Banking in Kerala: An Application of Extended Classical Technology Acceptance Model

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  • T. G. Saji
  • Deepa Paul

Abstract

This research, using an extended version of classical technology acceptance model (TAM), investigates the factors influencing the adoption behaviour of mobile technology in banking. Survey data on 214 banking customers in Kerala were analysed under a structural equation modeling (SEM) framework and the results confirm the usefulness of TAM in predicting mobile banking adoption behaviour. The exogenous constructs from the original TAM, perceived usefulness (PU), and perceived ease of use (PEU) along with two additional constructs in the extended model, perceived credibility (PC) and perceived self-efficacy (PSE), emerged out as significant antecedents of the behavioural intention of customers, especially of an educated youth, towards the use of mobile technology in banking. Findings ultimately suggest that accurate and consistent identification of customers’ propensity to adopt technology banking provides strategic map to banks from emerging markets to grow in underserved markets, achieve omni-channel presence, and disrupt value chain components.

Suggested Citation

  • T. G. Saji & Deepa Paul, 2018. "Behavioural Intention to the Use of Mobile Banking in Kerala: An Application of Extended Classical Technology Acceptance Model," Metamorphosis: A Journal of Management Research, , vol. 17(2), pages 111-119, December.
    • Handle: RePEc:sae:metjou:v:17:y:2018:i:2:p:111-119
    DOI: 10.1177/0972622518792802
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    References listed on IDEAS

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    1. Yadgar Taha M. Hamakhan, 2020. "The effect of individual factors on user behaviour and the moderating role of trust: an empirical investigation of consumers’ acceptance of electronic banking in the Kurdistan Region of Iraq," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 6(1), pages 1-29, December.
    2. Vuong, Bui Nhat, 2020. "An Empirical Analysis of Mobile Banking Adoption in Vietnam," OSF Preprints 94zxp, Center for Open Science.
    3. Vuong, Bui Nhat & Hieu, Vo Thi & Trang, Ngo Thi Thuy, 2019. "An empirical analysis of mobile banking adoption in Vietnam," OSF Preprints 6dzyq, Center for Open Science.
    4. 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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