Understanding Behavioral Intentions to Use Cryptocurrency for the Future of Digital Finance: Evidence from Bangladesh

Financialinstitutions across Bangladesh experience quick changesin digital finance becausethey begin embracing cryptocurrency technologies. The study explores the determinants of cryptocurrency acceptance by surveying how innovativeness, social influence, perceived usefulness (PU), and perceived ease of use (PEOU) affect user intentions. This study utilized a hypothetical-deductive method under the positivist research framework. The research design employed a quantitative methodology through which researchers collected data from 391 employees who worked in Dhaka-based financial institutions. The study findings show that innovativeness has a positive and significant effect on the behavioral intention to use cryptocurrency. The study also reveals that social influence has a positive and significant effect on the behavioral intention to use cryptocurrency. Furthermore, PU and PEOU have positive and significant effects on the behavioral intention to use cryptocurrency. The study examines cryptocurrency adoption among Bangladeshi financial professionals, identifying key drivers influencing adoption. It provides insights for regulators and business leaders, enhancing understanding of cryptocurrency trends in emerging markets. By analyzing adoption patterns, this research contributes to financial sector knowledge and supports informed policy and strategic decisions. Received: 28 February 2025 | Revised: 11 April 2025 | Accepted: 4 July 2025 Conflicts of Interest The authors declare that they have no conflicts of interest to this work. Data Availability Statement Data are available from the corresponding author upon reasonable request. Author Contribution Statement Ismoth Zerine: Conceptualization, Validation, Investigation, Writing – review & editing, Visualization, Supervision, Project administration. Younis Ali Biswas: Resources, Funding acquisition. Zulkernain Doha: Data curation. Humayra Mehreen Meghla: Writing – original draft. Mohammad Rashed Hasan Polas: Methodology, Software, Formal analysis.