학술논문

Mobile wallets adoption: pre- and post-adoption dynamics of mobile wallets usage
Document Type
Journal
Source
Marketing Intelligence & Planning, 2022, Vol. 40, Issue 5, pp. 573-588.
Subject
research-article
Research paper
cat-MARK
Marketing
Marketing strategy/methods
Mobile wallets (m-wallets) adoption
Unified theory of acceptance and use of technology (UTAUT)
Expectation-confirmation model (ECM)
Individual mobility
User satisfaction
Continuance intention
Language
English
ISSN
0263-4503
Abstract
PurposeThe main objectives of this study are (1) to identify the determinants of pre- and post-adoption dynamics of mobile wallets (m-wallets) usage; (2) to propose and test the linkage framework of pre-adoption and post-adoption dynamics to understand consumers' psyche of m-wallets usage and (3) to examine the moderation of select demographic variables in the path of consumers' continued usage of m-wallets.Design/methodology/approachThe study considered a cross-sectional approach using a questionnaire survey method. The research model encapsulating pre- and post-adoption dynamics of the m-wallet was examined using a sample of 574 users. The analysis also comprised mediation, moderation and multi-group analysis (MGA).FindingsThe results identified key antecedents of confirmation, such as performance expectancy, effort expectancy, facilitating conditions and individual mobility. Findings also confirmed the partial mediation effects of satisfaction between confirmation and continuance intentions. Results also confirmed the moderating effects of age and education on the relationship between confirmation and satisfaction.Originality/valueThe key contribution of the study is in the form of research progression related to m-wallet usage to test the extended expectation-confirmation model (EECM) in the Indian context by linking the pre-adoption paradigm of extended (unified theory of acceptance and use of technology) UTAUT with individual mobility and post-adoption dynamics of the ECM. The considered framework study also draws support for the role of select demographic variables.