Consumer Perceptions of Electric Motorcycle Adoption Factors in Indonesia: A Descriptive Analysis Across Income, Gender, and Vehicle Ownership Segments
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Published
Jun 14, 2026
Abstract
Indonesia's massive conventional motorcycle (CM) market presents both a challenge and an opportunity for electric motorcycle (EM) adoption. While government subsidies and supportive policies have been introduced, adoption rates remain persistently low, highlighting the need for a deeper understanding of consumer perceptions. This study provides a descriptive portrait of consumer perceptions toward electric motorcycle adoption based on a cross-sectional survey of 786 respondents across major Indonesian cities. Nine constructs were examined: Performance Expectancy, Effort Expectancy, Social Influence, Facilitating Conditions, Hedonic Motivation, Price Value, Habit, Brand Trust, and Purchase Intention. Descriptive statistics and segmentation analyses were conducted across income, gender, and vehicle ownership groups. Findings indicate that Effort Expectancy and Brand Trust were the most favorably rated constructs, while Habit recorded the lowest means, reflecting psychological attachment to conventional motorcycles. Public charging infrastructure availability emerged as the weakest facilitating factor. Income showed the clearest demographic differentiation, with higher-income respondents reporting more positive perceptions across virtually all constructs. Gender differences were minimal, and current EM owners consistently reported more favorable perceptions than non-owners. These findings provide a granular baseline to inform targeted strategies for policymakers, manufacturers, and marketers seeking to accelerate sustainable mobility transition in Indonesia.
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References
Amiruddin, A., Dargaville, R., Liebman, A., & Gawler, R. (2024). Integration of Electric Vehicles and Renewable Energy in Indonesia’s Electrical Grid. Energies, 17(9). https://doi.org/10.3390/en17092037
Aqidawati, E. F., Sutopo, W., Pujiyanto, E., Hisjam, M., Fahma, F., & Ma’aram, A. (2022). Technology Readiness and Economic Benefits of Swappable Battery Standard: Its Implication for Open Innovation. Journal of Open Innovation: Technology, Market, and Complexity, 8(2), 88. https://doi.org/10.3390/joitmc8020088
Aritenang, A. F. (2024). The crucial role of motorcycle-based ride-hailing among commuters: The case of Jakarta and Bandung in metropolitan areas. Journal of Public Transportation, 26(December 2023), 100082. https://doi.org/10.1016/j.jpubtr.2024.100082
ASIMOLI. (2024). Statistik Penjualan Tahun 2024. Asosiasi Industri Sepeda Motor Listrik Indonesia (ASIMOLI). https://aismoli.or.id/statistic?type=yearly
Atabani, A. E., Silitonga, A. S., & Mahlia, T. M. I. (2012). Cost benefit analysis and environmental impact of fuel economy standards for passenger cars in Indonesia. Renewable and Sustainable Energy Reviews, 16(5), 3547–3558. https://doi.org/10.1016/j.rser.2012.01.001
Awirya, A. A., Sembiring, D. P., Kreuta, B., & Anita. (2023). The potential development of electric motorcycles in remote areas case study: Agats District, Asmat Regency, Indonesia. Cleaner Engineering and Technology, 17. https://doi.org/10.1016/j.clet.2023.100690
Banerjee, S., & Chua, A. Y. K. (2025). Effect of autonomous vehicle-related eWOM on (fe)males’ attitude and perceived risk as passengers and pedestrians. Internet Research, 35(2), 841–859. https://doi.org/10.1108/INTR-10-2023-0912
Hair, J. F., Hult, G. T. M., Ringle, C. M., & Sarstedt, M. (2022). A Primer on Partial Least Squares Structural Equation Modeling (PLS-SEM) [3 ed]. In Sage Publishing (Vol. 3, Issue 1).
Ho, C. W., & Wu, C. C. (2021). Exploring intention toward using an electric scooter: Integrating the technology readiness and acceptance into norm activation model (tra-nam). Energies, 14(21). https://doi.org/10.3390/en14216895
Lee, J. W., & Roh, S. (2024). Gender differences regarding forming the intent to participate in carbon neutral practices: a nationwide sample study of South Korea. Environmental Research Communications, 6(10). https://doi.org/10.1088/2515-7620/ad78bc
Mesquita, A. R., de Abreu, V. H. S., Poyares, C. N., & Santos, A. S. (2025). Barriers to Electric Vehicle Adoption: A Framework to Accelerate the Transition to Sustainable Mobility. Sustainability (Switzerland), 17(18). https://doi.org/10.3390/su17188318
Næss, R., Heidenreich, S., & Solbu, G. (2024). Sensory and emotional dimensions of domesticating new technology: an experiment with new e-bike users in Norway. Mobilities, 19(2), 312–328. https://doi.org/10.1080/17450101.2023.2230372
Nguyen-Phuoc, D. Q., Truong, T. M., Nguyen, M. H., Pham, H. G., Li, Z. C., & Oviedo-Trespalacios, O. (2024). What factors influence the intention to use electric motorcycles in motorcycle-dominated countries? An empirical study in Vietnam. Transport Policy, 146, 193–204. https://doi.org/10.1016/j.tranpol.2023.11.013
Pirmana, V., Alisjahbana, A. S., Yusuf, A. A., Hoekstra, R., & Tukker, A. (2023). Economic and environmental impact of electric vehicles production in Indonesia. Clean Technologies and Environmental Policy, 25(6), 1871–1885. https://doi.org/10.1007/s10098-023-02475-6
Polites, G. L., & Karahanna, E. (2012). Shackled to the Status Quo: The Inhibiting Effects of Incumbent System Habit, Switching Costs, and Inertia on New System Acceptance. 36(1), 21–42. https://doi.org/https://doi.org/10.2307/41410404
Roberson, L., & Helveston, J. P. (2022). Not all subsidies are equal: Measuring preferences for electric vehicle financial incentives. Environmental Research Letters, 17(8). https://doi.org/10.1088/1748-9326/ac7df3
Shetty, A., & Rizwana, M. (2024). Sustainable mobility perspectives: exploring the impact of UTAUT2 model on fostering electric vehicle adoption in India. Management of Environmental Quality. https://doi.org/10.1108/MEQ-08-2023-0257
Staab, V., & Liebherr, M. (2024). Perception and Acceptance of Autonomous Vehicles: Influencing Factors and the Relevance of Subjective Knowledge. International Journal of Human-Computer Interaction, 40(24), 8463–8475. https://doi.org/10.1080/10447318.2023.2295687
Venkatesh, Thong, & Xu. (2012). Consumer Acceptance and Use of Information Technology: Extending the Unified Theory of Acceptance and Use of Technology. MIS Quarterly, 36(1), 157. https://doi.org/10.2307/41410412
Yuniarto, M. N., Wiratno, S. E., Nugraha, Y. U., Sidharta, I., & Nasruddin, A. (2022). Modeling, Simulation, and Validation of An Electric Scooter Energy Consumption Model: A Case Study of Indonesian Electric Scooter. IEEE Access, 10, 48510–48522. https://doi.org/10.1109/ACCESS.2022.3171860
Zhang, X., & Chang, M. (2023). Applying the Extended Technology Acceptance Model to Explore Taiwan’s Generation Z’s Behavioral Intentions toward Using Electric Motorcycles. Sustainability (Switzerland), 15(4). https://doi.org/10.3390/su15043787