Fintech adoption in India: An extended Technology Acceptance Model incorporating customer satisfaction, continuation intention, and perceived risk

Authors

DOI:

https://doi.org/10.56879/ijbm.v5i1.55

Keywords:

Financial Technology Adoption, Perceived Usefulness, Customer Satisfaction, Perceived Risk, Continuation Intention, Behavioral Intention, Technology Acceptance Model

Abstract

Financial technologies are expanding rapidly across India, driven by government digitization initiatives and growing smartphone penetration. Yet the mechanisms linking consumer perceptions to sustained adoption behaviour remain incompletely understood within the Indian context. This study applies an extended Technology Acceptance Model (TAM) to examine how enablers, namely perceived ease of use, perceived usefulness, customer satisfaction, and continuation intention, alongside the challenge of perceived risk, shape attitude toward fintech adoption and ultimately behavioral intention. It additionally tests whether age, gender, and occupation moderate these relationships. A structured questionnaire on a 5-point Likert scale was distributed electronically to 7,000 respondents across all regions of India, yielding 212 usable responses. Partial least squares structural equation modelling (PLS SEM) via SmartPLS 4.1 was employed for reliability assessment, validity testing, and hypothesis evaluation through bootstrapping. Results show that perceived usefulness, customer satisfaction, and continuation intention positively and significantly influence attitude toward adoption, while perceived ease of use is not a significant direct enabler. Perceived risk does not significantly affect either attitude or continuation intention, a notable departure from findings in comparable markets. Perceived ease of use significantly predicts perceived usefulness, which in turn drives customer satisfaction and adoption attitude, establishing a sequential value chain from usability to satisfaction to behavioural intent. Attitude positively and significantly predicts behavioral intention. None of the three demographic moderators produce statistically significant effects across any pathway. The study fills an identified gap by establishing the perceived risk and continuation intention linkage within the Indian fintech context and offers actionable guidance for fintech firms and digital payment policymakers.

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Author Biographies

  • Amber Dubey, Dayalbagh Educational Institute

    Mr Amber Dubey is currently serving as a Guest Faculty in Dayalbagh Educational Institute, Agra, from where, he is pursuing his PhD as well.  He holds a teaching experience of around 4 years, where he has been teaching subjects like Statistics, Banking & Materials Management to the BBA Students. He has published a few papers in refereed journals. He has also supervised 5 students under him for Dissertation Research, till date.

  • Prof. Sunita Malhotra, Dayalbagh Educational Institute

    Prof Sunita Malhotra is currently working in Department of Management, Dayalbagh Educational Institute, Agra. She holds a teaching experience of more than 15 years, where she has taught subjects like Operations Management and Finance Management to BBA and MBA Students. and has supervised around 10 PhD scholars till date. She is a reviewer in many well-reputed journals

  • Prof. Sanjeev Swami, Dayalbagh Educational Institute

    Prof Sanjeev Swami is currently serving as the Head of Department of Management in Dayalbagh Educational Institute, Agra for the last 2 decades. Prior to this he worked with IIT Kanpur as Assistant Professor and Associate Professor between 1999-2006. In his teaching experience of more than 2 decades, he has been teaching Quantitative Subjects to BBA and MBA Students. He has supervised more than 2 dozens of PhD Scholars, till date. He is also a member of Editorial Board of very well reputed journals

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Published

2026-06-13

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Section

Articles