Understanding intention to recommend e-banking: a moderated mediation approach to analyse the role of customer satisfaction and perceived risk

The current work aims to comprehend consumers' intention to recommend (IR) innovative e-banking services comprehensively by analysing the moderating influence of perceived risk and the mediating effect of customer satisfaction (CS). The current research has integrated theories such as expectation confirmation theory (ECT), technology acceptance model (TAM), and user acceptance of hedonic information systems (UAHIS). Structural equation modelling was used to examine 721 usable responses collected from the Indian users of various e-banking platforms. Further, the study applied a moderated mediation approach to better predict IR by mediating the effect of CS and moderating the role of perceived risk. The findings revealed that expectation confirmation, perceived ease of use, perceived usefulness, and perceived enjoyment (PE) show a significant effect on recommendation intentions. These effects were mediated by CS which varied between high and low perceived risk in e-banking.

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Publication Details

Journal
International Journal of Electronic Marketing and Retailing
Published
2025-01-01
DOI
https://doi.org/10.1504/ijemr.2025.147493
Primary Topic
Customer Service Quality and Loyalty
Type
article
Field-Weighted Citation Impact
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article

Understanding intention to recommend e-banking: a moderated mediation approach to analyse the role of customer satisfaction and perceived risk

Vikas Chauhan
1 links
International Journal of Electronic Marketing and Retailing
Customer Service Quality and Loyalty
article

Understanding intention to recommend e-banking: a moderated mediation approach to analyse the role of customer satisfaction and perceived risk

Vikas Chauhan
article en

Abstract

The current work aims to comprehend consumers' intention to recommend (IR) innovative e-banking services comprehensively by analysing the moderating influence of perceived risk and the mediating effect of customer satisfaction (CS). The current research has integrated theories such as expectation confirmation theory (ECT), technology acceptance model (TAM), and user acceptance of hedonic information systems (UAHIS). Structural equation modelling was used to examine 721 usable responses collected from the Indian users of various e-banking platforms. Further, the study applied a moderated mediation approach to better predict IR by mediating the effect of CS and moderating the role of perceived risk. The findings revealed that expectation confirmation, perceived ease of use, perceived usefulness, and perceived enjoyment (PE) show a significant effect on recommendation intentions. These effects were mediated by CS which varied between high and low perceived risk in e-banking.

International Journal of Electronic Marketing and RetailingVol. 16(4)
ICFAI Business School (IN), ICFAI Foundation for Higher Education (IN), Institute of Chartered Financial Analysts of India (IN)
Decent work and economic growth
Openalex Percentile: Top 79%
Customer Service Quality and Loyalty
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