Abstract
Purpose – This study aims to examine the continuance usage intentions of mobile wallet (m-wallet) users by testing an extended expectation-confirmation model (EECM) that integrates acceptance and postacceptance perspectives. The moderating role of perceived value is also assessed. Design/methodology/approach – A multi-model framework was conceptualized using relevant literature. The research model was then tested through path analysis using survey data collected from existing m-wallet users. The authors also perform a multi-group analysis with SPSS 27.0 to evaluate differences in sociodemographic characteristics (gender, age, education, income, area of residence and weekly use of m-wallets). Findings – Results strongly support the integrated EECM, which combines the technology acceptance model (TAM) and the ECM while incorporating contextual variables such as perceived trust, social influence and perceived value. Research limitations/implications – The study extends postacceptance theory and provides practical insights for policymakers and marketers to design strategies that enhance satisfaction and strengthen continuance intentions. Originality/value – By integrating TAM and ECM with additional contextual variables, this research addresses a key gap in the literature and offers a comprehensive understanding of continuance usage behavior in smartphone-based e-payment technologies.
Author supplied keywords
- Confianza percibida
- Expectation-confirmation model
- Influencia social
- Mobile wallets platform
- Modelo de adopción tecnológica
- Modelo de confirmación de expectativas
- Originalidad/valor percibido
- Perceived trust
- Perceived value
- Plataforma de billeteras móviles
- Social influence
- Technology adoption model
- 感知价值
- 感知信任
- 技术采纳模型
- 期望确认模型
- 社会影响
- 移动钱包平台
Cite
CITATION STYLE
Singh, P. K., Jaiswal, D., & Yousaf, A. (2026). Elucidating continued usage of mobile wallets application from the lens of extended expectation-confirmation model. Spanish Journal of Marketing - ESIC, 1–31. https://doi.org/10.1108/SJME-12-2024-0319
Register to see more suggestions
Mendeley helps you to discover research relevant for your work.