A study on Adoption of Financial Technology in mutual fund distribution

This study looks at the main factors influencing mutual fund distributors’ (MFDs’) propensity to distribute funds using digital tools, seeking to assess the adoption of financial technology (FinTech) platforms by these firms and Individual in India. Structured questionnaires were used to gather data from MFDs throughout India as a component of a descriptive research approach. Different statistical methods, such as reliability assessments, Confirmatory factor analysis and Structural Equation Modeling were utilized to evaluate the Research model validity and relationships between the constructs. The results suggest that price value, facilitating conditions, social influence, performance expectancy, and habit significantly affect behavioral intention, while effort expectancy and hedonic motivation have little effect. This study emphasizes the significance of contextual and practical factors for asset management firms, FinTech innovators, and policymakers seeking to improve digital integration and efficiency in mutual fund distribution.

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Publication Details

Journal
E-Learning and Digital Media
Published
2026-06-25
DOI
https://doi.org/10.1177/20427530261449475
Primary Topic
FinTech, Crowdfunding, Digital Finance
Type
article
Field-Weighted Citation Impact
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article

A study on Adoption of Financial Technology in mutual fund distribution

Rajesh K. Sadhwani, Shikha Vijay Katwala
E-Learning and Digital Media
FinTech, Crowdfunding, Digital Finance
article

A study on Adoption of Financial Technology in mutual fund distribution

Rajesh K. Sadhwani, Shikha Vijay Katwala
article en

Abstract

This study looks at the main factors influencing mutual fund distributors’ (MFDs’) propensity to distribute funds using digital tools, seeking to assess the adoption of financial technology (FinTech) platforms by these firms and Individual in India. Structured questionnaires were used to gather data from MFDs throughout India as a component of a descriptive research approach. Different statistical methods, such as reliability assessments, Confirmatory factor analysis and Structural Equation Modeling were utilized to evaluate the Research model validity and relationships between the constructs. The results suggest that price value, facilitating conditions, social influence, performance expectancy, and habit significantly affect behavioral intention, while effort expectancy and hedonic motivation have little effect. This study emphasizes the significance of contextual and practical factors for asset management firms, FinTech innovators, and policymakers seeking to improve digital integration and efficiency in mutual fund distribution.

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A study on Adoption of Financial Technology in mutual fund distribution — Rajesh K. Sadhwani, Shikha Vijay Katwala · E-Learning and Digital Media (2026) | TGRS Research Map | TGRS