1 Department of Management and Industrial Engineering, Faculty of Engineering, Diponegoro University, Semarang, Indonesia.
2 Department of Artificial Intelligence and Data Science, Sejong University, Seoul, Republic of Korea.
World Journal of Advanced Research and Reviews, 2026, 30(01), 2338-2350
Article DOI: 10.30574/wjarr.2026.30.1.1108
Received on 17 March 2026; revised on 24 April 2026; accepted on 27 April 2026
This research presents a quantitative empirical analysis of factors influencing online motorcycle taxi drivers intention to adopt a rent-to-own eclectric motorcycle scheme in Indonesia. This study using cross-sectional survey of 100 respondents and multiple linear regression analysis, this study identifies key determination of adoption intention. According to a multiple linear regression analysis of ten independent variables, only two significant variables the availability of charging infrastructure and the damage fine system were found to be influential. Demographic background and rental costs were additional factors that were not significant. These results indicate that the program's success depends on the provision of adequate infrastructure and the implementation of a fair and transparent fine system. Increasing perceived long-term value and reducing perceived risk are two factors critical to the program's success. These recommendations are expected to increase interest in rent-to-own electric two-wheeled vehicles in Indonesia.
Electric Vehicle; Rent to Own; Linear Regression; Penalty System
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Brian Mukti Nugroho, Aries Susanty, Ary Arvianto and Muhammad Syafrudin. The key to adoption: analyzing the critical role of infrastructure and risk perception in rent-to-own schemes for two wheeled electric Vehicle in Indonesia. World Journal of Advanced Research and Reviews, 2026, 30(01), 2338-2350. Article DOI: https://doi.org/10.30574/wjarr.2026.30.1.1108.