Abstract
The objective of this study is to assess the behavioral intention (BI) of users to use Mobile-Payment based on their behavior. The study used the convenience sampling technique to collect the data from users. 198 questionnaires were analyzed by Smart-PLS 3 to assess the proposed model. The results showed that performance expectancy, facilitating conditions, Social influence, and Trust has a positive and significant impact on BI to use of Mobile Payment. in contrast, the Effort expectancy has an insignificant impact on BI to use M-payment. This study could provide insights that can be valuable for businesses and developers in designing and promoting mobile payment applications that cater to users' preferences and needs.
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