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Antecedents of Customer Satisfaction In Internet Banking: Technology Acceptance Model (TAM) Redefined

Author

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  • Ajimon George

    (Ajimon George is Associate Professor, Marian college, Kuttikkanam—685531, Kerala. E-mail: georgeajimon@rediffmail.com)

  • G.S. Gireesh Kumar

    (G.S. Gireesh Kumar is Associate Professor, Nirmala College, Muvattupuzha—686661, Kerala. E-mail: gireeshkartha@yahoo.com)

Abstract

In the banking sector, various electronic delivery channels are increasingly used for delivering products and services for the convenience of customers at low cost. Internet banking (IB) is one among them. IB is a product of e-commerce in the field of banking and financial services. The present study has been carried out to use the Technology Acceptance Model (TAM) from the Information Technology (IT) literature to investigate the effect of TAM variables on customer satisfaction in the internet-banking context. The model was constructed by incorporating Perceived Risk (PR) to the twin traditional TAM constructs, Perceived Ease of Use (PEOU) and Perceived Usefulness (PU). The model has been empirically validated using 406 IB users selected from the state of Kerala, India. It is found that the constructs PEOU and PU have positive effect on customer satisfaction and PR has negative effect on customer satisfaction. A profile analysis of the respondents revealed that young males, well-educated employees with a moderately high level of monthly income are the major users of IB in Kerala.

Suggested Citation

  • Ajimon George & G.S. Gireesh Kumar, 2013. "Antecedents of Customer Satisfaction In Internet Banking: Technology Acceptance Model (TAM) Redefined," Global Business Review, International Management Institute, vol. 14(4), pages 627-638, December.
    • Handle: RePEc:sae:globus:v:14:y:2013:i:4:p:627-638
    DOI: 10.1177/0972150913501602
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    References listed on IDEAS

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    1. Arun Rai & Sandra S. Lang & Robert B. Welker, 2002. "Assessing the Validity of IS Success Models: An Empirical Test and Theoretical Analysis," Information Systems Research, INFORMS, vol. 13(1), pages 50-69, March.
    2. Mohammed T. Nuseir & Mamoun N. Akroush & Bushra K. Mahadin & Abdullah Q. Bataineh, 2010. "The effect of e-service quality on customers' satisfaction in banks operating in Jordan: an empirical investigation of customers' perspectives," International Journal of Services, Economics and Management, Inderscience Enterprises Ltd, vol. 2(1), pages 80-108.
    3. 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.
    4. Geetika & Tanuj Nandan & Ashwani Kr. Upadhyay, 2008. "Internet Banking in India: Issues and Prospects," The IUP Journal of Bank Management, IUP Publications, vol. 0(2), pages 47-61, May.
    5. Said Al-Gahtani, 2001. "The Applicability of TAM Outside North America: An Empirical Test in the United Kingdom," Information Resources Management Journal (IRMJ), IGI Global, vol. 14(3), pages 37-46, July.
    6. Sarv Devaraj & Ming Fan & Rajiv Kohli, 2002. "Antecedents of B2C Channel Satisfaction and Preference: Validating e-Commerce Metrics," Information Systems Research, INFORMS, vol. 13(3), pages 316-333, September.
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