Digital Payment Continuance Intention Using Mecm: The Role of Perceived Experience

Dhananjay Beura · Lingam Naveen · Sujit Kumar Prusty · Ananta Prasad Nanda · Chinmaya Kumar Rout

7 citations0/0 files storedInternational Journal of Professional Business Review

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Technology Adoption and User Behaviour Customer Service Quality and Loyalty Health, Technology, Consumer Behavior

Abstract

Purpose: The purpose of this paper is to examine the determinants of digital payment continuance intention, which is essential for long term success. Theoretical framework: Expectancy confirmation theory developed by Oliver (1980) and then expectancy confirmation model by Bhattacherjee (2001) examined the need of continuance intention. Looking at the significance of digital payment through Mobile phones, Mobile expectation confirmation model and role of perceived experience need to be examined for continuance intention. Design/methodology/approach: Empirical data from 400 Indian users, who had prior experience with digital payment were analysed by using Confirmed factor analysis and structural equation modelling. Findings: The results confirmed that Mobile expectancy confirmation had exploratory power in explaining continuance intention, perceived usefulness, perceived experience and satisfaction of digital payment. Furthermore, perceived experience has moderating role in explaining the relationship between confirmation and continuance intention towards digital payment. Research, Practical & Social implications: The findings help financial service providers to understand the significance of meeting customer expectation and satisfying their need by enhancing perceived experience and usefulness, leading to favourable attitude towards digital payment and continuance intention. Originality/value: This study was based on MECM and contributing to the limited body of research on continuance intention towards digital payment. Furthermore, the role perceived experience was examined to establish the relationship between confirmation and continuance intention along with other variables like perceived usefulness and satisfaction.

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1999Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives 2000A Theoretical Extension of the Technology Acceptance Model: Four Longitudinal Field Studies 2007Confirmatory factor analysis for applied research 1980A Cognitive Model of the Antecedents and Consequences of Satisfaction Decisions 1992Information Systems Success: The Quest for the Dependent Variable 1995Understanding Information Technology Usage: A Test of Competing Models 2001Understanding Information Systems Continuance: An Expectation-Confirmation Model1 2013International Journal of Environmental Research and Public Health

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