Analysis of FinTech Usage Behavior Model among Minang Traders: The Mediating Role of Behavior Intention and the Influence of Perceived Risk and Habit

This study examines how user behavior (UB) in financial technology transactions can help Minang traders. Factors considered include perceived ease of use (PEOU), perceived usefulness (PU), self-efficacy (SE), habits (H), perceived risk (PR), attitudes (A), and behavioral intentions (BI). The study focused on individual Minang business owners and financial operators, with a convenience sample of 178 respondents. Path analysis using SmartPLS was applied. Results show PEOU positively affects PU, but not BI directly. However, PEOU indirectly affects BI through PU, which in turn influences BI. BI does not mediate between PEOU and user behavior (UB), but PU and BI together do. Habit (H) has a positive effect on both BI and UB, and BI partially mediates the effect of H on UB. PR negatively affects UB but not BI, so BI does not mediate the PR effect on UB. However, BI does mediate the effect of PU on UB, as BI influences UB

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Publication Details

Journal
Jurnal Manajemen Universitas Bung Hatta
Published
2026-01-30
DOI
https://doi.org/10.37301/jmubh.v21i1.29131
Primary Topic
Technology Adoption and User Behaviour
Type
article
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article

Analysis of FinTech Usage Behavior Model among Minang Traders: The Mediating Role of Behavior Intention and the Influence of Perceived Risk and Habit

Mery Trianita, Yuhelmi Yuhelmi, Yunilma Yunilma, Yolanda Yolanda
Jurnal Manajemen Universitas Bung Hatta
Technology Adoption and User Behaviour
article

Analysis of FinTech Usage Behavior Model among Minang Traders: The Mediating Role of Behavior Intention and the Influence of Perceived Risk and Habit

Mery Trianita, Yuhelmi Yuhelmi, Yunilma Yunilma, Yolanda Yolanda
article en

Abstract

This study examines how user behavior (UB) in financial technology transactions can help Minang traders. Factors considered include perceived ease of use (PEOU), perceived usefulness (PU), self-efficacy (SE), habits (H), perceived risk (PR), attitudes (A), and behavioral intentions (BI). The study focused on individual Minang business owners and financial operators, with a convenience sample of 178 respondents. Path analysis using SmartPLS was applied. Results show PEOU positively affects PU, but not BI directly. However, PEOU indirectly affects BI through PU, which in turn influences BI. BI does not mediate between PEOU and user behavior (UB), but PU and BI together do. Habit (H) has a positive effect on both BI and UB, and BI partially mediates the effect of H on UB. PR negatively affects UB but not BI, so BI does not mediate the PR effect on UB. However, BI does mediate the effect of PU on UB, as BI influences UB

Jurnal Manajemen Universitas Bung HattaVol. 21(1)
Universitas Bung Hatta (ID)
Decent work and economic growth
Openalex Percentile: Top 75%
Technology Adoption and User Behaviour
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