Semantic Scholar Open Access 2020 234 sitasi

Factors affecting the behavioral intention to adopt mobile banking: An international comparison

Jonathan C. Ho Chorng-Guang Wu Chung-Shing Lee T. T. Pham

Abstrak

Abstract Over the past decade, the markets for mobile and wireless services have been among the world's fastest-growing, especially in Asian countries, presenting financial institutions with significant opportunities to offer value-added services. Mobile banking has since emerged as a new channel enabling the banks to react strategically to changes in competitive forces and to enhance customer convenience. Based on Diffusion of Innovations (DOI) theory, the Technology Acceptance Model (TAM), the Decomposed Theory of Planned Behavior (DTPB) model, this study develops an integrated model to provide a fuller understanding of factors facilitating or impeding the adoption of mobile banking, focusing on consumers in Taiwan and Vietnam. While subjective norms had a significant effect on the intention to adopt, three attributes of mobile banking (compatibility, perceived usefulness, and perceived risk) were found to have indirect effects on intention to adopt mobile banking through attitude toward adoption for consumers in both Taiwan and Vietnam. Intention to adopt mobile banking was indirectly influenced by self-efficacy and facilitating conditions, and directly affected by perceived behavioral control in both nations. Some differences in intention to adopt mobile banking between Taiwanese and Vietnamese are also discussed. Based on the research findings, managerial implications for financial institutions and mobile service providers are discussed.

Topik & Kata Kunci

Penulis (4)

J

Jonathan C. Ho

C

Chorng-Guang Wu

C

Chung-Shing Lee

T

T. T. Pham

Format Sitasi

Ho, J.C., Wu, C., Lee, C., Pham, T.T. (2020). Factors affecting the behavioral intention to adopt mobile banking: An international comparison. https://doi.org/10.1016/j.techsoc.2020.101360

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Informasi Jurnal
Tahun Terbit
2020
Bahasa
en
Total Sitasi
234×
Sumber Database
Semantic Scholar
DOI
10.1016/j.techsoc.2020.101360
Akses
Open Access ✓