Azizah Ummu Salma Al, Mulyono Herri, Suryana Anisa Maulita
Universitas Muhammadiyah Prof. DR. HAMKA, Indonesia.
Data Brief. 2022 Aug 7;44:108521. doi: 10.1016/j.dib.2022.108521. eCollection 2022 Oct.
The dataset examines the two perceived benefit and risk factors that continuously influence university students' willingness to use financial technology (Fintech). A non-probability sampling technique was employed to target the study participants. A total of 436 students from a private university in Jakarta, Indonesia, completed a self-administered online questionnaire. The collected quantitative data were screened and analyzed using Partial Least Square Structural Equation Modeling (PLS-SEM). The quantitative analysis result revealed that students' willingness to utilize Fintech continuously is associated with their perceived benefits from such Fintech use. Particularly, students perceived that the benefits of seamless transactions offered by the technology had been the most critical factors that promoted their strong willingness. The data provides new insight related to the university students' use of Fintech for their economic and financial activities. The dataset is also significant for financial technology companies to target and attract more users, particularly from those university students. More importantly, the dataset will be useful for university program development to prepare their students with financial literacy.
该数据集研究了持续影响大学生使用金融科技意愿的两个感知利益和风险因素。采用非概率抽样技术来确定研究参与者。来自印度尼西亚雅加达一所私立大学的436名学生完成了一份自填式在线问卷。使用偏最小二乘结构方程模型（PLS-SEM）对收集到的定量数据进行筛选和分析。定量分析结果表明，学生持续使用金融科技的意愿与他们从这种金融科技使用中感知到的利益相关。特别是，学生们认为该技术提供的无缝交易的好处是促使他们强烈意愿的最关键因素。这些数据为大学生在经济和金融活动中使用金融科技提供了新的见解。该数据集对于金融科技公司瞄准和吸引更多用户，特别是来自那些大学生的用户也具有重要意义。更重要的是，该数据集将有助于大学项目的开发，使学生具备金融素养。
