Digital payment systems in an emerging economy

This study investigates the factors influencing the adoption of digital payment systems in Cambodia, employing a quantitative approach with 359 Cambodian participants. The research integrates concepts from the Technology Acceptance Model (TAM) and the Theory of Planned Behavior (TPB) to explore the relationships between perceived ease of use (PEU), perceived usefulness, public attitudes, perceived behavioral control, financial literacy, and the adoption of digital payment systems. Using Partial Least Squares Structural Equation Modeling (PLS-SEM), the study identifies a significant positive relationship between PEU and attitudes toward digital payment systems, corroborating the TAM's assertion that ease of use is a crucial determinant in technology acceptance. The findings also highlight the critical role of perceived usefulness, extending its implications to include convenience, security, and transactional efficiency. The study underscores the influence of public attitudes and perceived behavioral control on adopting digital payment systems, particularly in an emerging economy. In addition, it reveals the impact of financial literacy, not only as a determinant of adoption but also as a mediator in the relationship between public attitudes and adoption. Behavioral nudges are also identified as significant influences in this context. The research contributes to understanding digital payment adoption in emerging markets. It provides digital financial technology insights for practitioners, policymakers, and educators.

Authors

Institutions

Publication Details

Journal
Computers in Human Behavior Reports
Published
2024-10-22
DOI
https://doi.org/10.1016/j.chbr.2024.100517
Citations
22
Primary Topic
FinTech, Crowdfunding, Digital Finance
Type
article
Field-Weighted Citation Impact
11.63
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Digital payment systems in an emerging economy

Bora Ly, Romny Ly
22 citations
Computers in Human Behavior Reports
FinTech, Crowdfunding, Digital Finance
11.63
article

Digital payment systems in an emerging economy

Bora Ly, Romny Ly
article en
22 citations

Abstract

This study investigates the factors influencing the adoption of digital payment systems in Cambodia, employing a quantitative approach with 359 Cambodian participants. The research integrates concepts from the Technology Acceptance Model (TAM) and the Theory of Planned Behavior (TPB) to explore the relationships between perceived ease of use (PEU), perceived usefulness, public attitudes, perceived behavioral control, financial literacy, and the adoption of digital payment systems. Using Partial Least Squares Structural Equation Modeling (PLS-SEM), the study identifies a significant positive relationship between PEU and attitudes toward digital payment systems, corroborating the TAM's assertion that ease of use is a crucial determinant in technology acceptance. The findings also highlight the critical role of perceived usefulness, extending its implications to include convenience, security, and transactional efficiency. The study underscores the influence of public attitudes and perceived behavioral control on adopting digital payment systems, particularly in an emerging economy. In addition, it reveals the impact of financial literacy, not only as a determinant of adoption but also as a mediator in the relationship between public attitudes and adoption. Behavioral nudges are also identified as significant influences in this context. The research contributes to understanding digital payment adoption in emerging markets. It provides digital financial technology insights for practitioners, policymakers, and educators.

Computers in Human Behavior ReportsVol. 16
Cambodian Mekong University (KH), Paññāsāstra University of Cambodia (KH)
Decent work and economic growth
Openalex Percentile: Top 1%
FinTech, Crowdfunding, Digital Finance
11.63
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.