The influence of personality traits on mobile payment adoption: The moderating role of extraversion and neuroticism
Year: 2026
Type: article
Study design: Observational Study
Abstract: The integration of advanced technologies into mobile devices is transforming mobile payments and facilitating transactions anytime and anywhere. We examine how performance and effort expectancy, perceived risk, and social influence shape mobile-payment intention, and how extraversion and neuroticism moderate these relationships. By combining the Unified Theory of Acceptance and Use of Technology (UTAUT) with theories on perceived risk and personality traits, this research provides deeper insights into consumer behavior regarding mobile payment adoption. Data were collected from 526 valid responses through a commercial data collection firm in the United States, targeting active mobile payment users. Structural equation modeling (SEM) was employed to analyze the proposed model. The findings highlight that perceived risk significantly impedes adoption. While extraversion did not significantly moderate the relationships among performance expectancy, perceived risk, social influence, and the intention to use mobile payments, neuroticism had a substantial moderating effect on these relationships. This underscores the complex roles of personality traits in technology adoption and points to the need for further research into these nuanced effects. The study enhances the literature on consumer behavior in mobile payments and suggests avenues for future research. • Study integrates UTAUT with perceived risk and personality traits to explain mobile payment adoption. • Performance expectancy, social influence raise intention, perceived risk lowers it, while effort expectancy is insignificant. • Neuroticism moderates effects of performance expectancy, perceived risk, and social influence on mobile payment intention. • Extraversion shows no moderating effects on key relationships in the model. • Findings are supported by a 526-participant U.S. survey with reliable measures and acceptable SEM model fit.
Source: Acta Psychologica
Authors: Chuleeporn Changchit, Robert Cutshall, Long Pham, Charles Changchit
Institution: Texas A&M University – Corpus Christi
Language: English
Subfield: Information Systems and Management
Field: Decision Sciences
Domain: Social Sciences
Open Access status: gold
Estimated APC paid: $2,670
OpenAlex ID: W7125981633