Integrating Technology Platform with User Intention: How Binimoy Holds its Ground

Abstract

The aim of this study is to examine the factors influencing users’ intentions to use Binimoy, an interoperable digital transaction platform that was launched in November 2022. To gather empirical data for the research model, a structured questionnaire was employed, and the UTAUT model was utilized, which focuses on four major variables that impact behavioral intention and use of Binimoy: performance expectancy, effort expectancy, social influence, and facilitating condition. Face-to-face interviews and online surveys both were used to collect data, with a sample size of 250 people surveyed in Sylhet. SmartPLS 4 was employed for the evaluation of Partial Least Squares Structural Equation Modelling (PLS-SEM). The study discovered that all constructs, except for facilitating conditions, demonstrated acceptable levels of internal consistency, reliability, and convergent validity. Five hypotheses were tested, and all were found to be statistically significant. The goodness of fit of the model was evaluated using the SRMR value, which was deemed to be good. This research contributes significantly to the knowledge domain by integrating system-specific and individual-specific models in an interoperable digital transaction platform context. Furthermore, the results of this study would benefit service providers and policymakers by offering comprehensive insights into the behavioral intention and usage behavior of the Binimoy users in Sylhet.