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Indonesia's economic sector continues to rely on carbon-emitting fossil fuels. The government is speeding up electrification by encouraging people to switch from traditional to electric automobiles. Electric motorcycles are one option for lowering CO2 emissions. Many researchers have investigated the value attributes affecting consumers’ attitudes and behavior around electric motorcycles. The structural model was created using the Partial Least Square – Structural Equation Model (PLS-SEM). The questionnaires were circulated through the internet, and 1,223 valid responses were received. Researching people's interest in environmentally friendly vehicles and the growing ecosystem of electric vehicles will indicate that the electric motorcycle business has a bright future. This research also shows that attitude is a major impact on electric motorcycle purchase intention and infrastructure, and subjective norms and perceived behavioral control have a direct effect on electric motorcycle purchase intention. Cost and technology do not influence a person in determining his desire to buy an electric vehicle.


Purchase intention Theory of planned behaviour Electric motorcycle PLS-SEM

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  1. T. Kivevele, T. Raja, V. Pirouzfar, B. Waluyo, and M. Setiyo, “LPG-Fueled Vehicles: An Overview of Technology and Market Trend,” Automotive Experiences, vol. 3, no. 1, pp. 6–19, 2020, doi: 10.31603/ae.v3i1.3334.
  2. IEA, “CO2 emissions from fuel combustion highlights,” 2018.
  3. S. Syarifudin, F. L. Sanjaya, F. Fatkhurrozak, M. K. Usman, Y. Sibagariang, and H. Köten, “Effect Methanol, Ethanol, Butanol on the Emissions Characteristics of Gasoline Engine,” Automotive Experiences, vol. 4, no. 2, pp. 62–67, 2020, doi: 10.31603/ae.4641.
  4. I. C. Setiawan and M. Setiyo, “Renewable and Sustainable Green Diesel (D100) for Achieving Net Zero Emission in Indonesia Transportation Sector,” Automotive Experiences, vol. 5, no. 1, pp. 1–2, 2022.
  5. I. Veza, M. Idris, and I. M. R. Fattah, “Circular economy, energy transition, and role of hydrogen,” Mechanical Engineering for Society and Industry, vol. 2, no. 2, pp. 54–56, 2022.
  6. M. Setiyo, “Alternative fuels for transportation sector in Indonesia,” Mechanical Engineering for Society and Industry, vol. 2, no. 1, pp. 1–6, 2022, doi: 10.31603/mesi.6850.
  7. A. Habibie and W. Sutopo, “A Literature Review: Commercialization Study of Electric Motorcycle Conversion in Indonesia,” IOP Conference Series: Materials Science and Engineering, vol. 943, no. 1, 2020, doi: 10.1088/1757-899X/943/1/012048.
  8. M. W. Dela Utami, Y. Yuniaristanto, and W. Sutopo, “Adoption Intention Model of Electric Vehicle in Indonesia,” Jurnal Optimasi Sistem Industri, vol. 19, no. 1, p. 70, 2020, doi: 10.25077/josi.v19.n1.p70-81.2020.
  9. M. N. A. Jodinesa, S. Wahyudi, and Z. Roni, “Markov chain analysis to identify the market share prediction of new technology: A case study of electric conversion motorcycle in Surakarta, Indonesia,” AIP Conference Proceedings, vol. 2217, no. 1, p. 030062, 2020.
  10. I. C. Setiawan, “Policy Simulation of Electricity-Based Vehicle Utilization in Indonesia (Electrified Vehicle - HEV, PHEV, BEV and FCEV),” Automotive Experiences, vol. 2, no. 1, pp. 1–8, 2019, doi: 10.31603/AE.V2I1.2020.
  11. Y. N. Sang and H. A. Bekhet, “Modelling electric vehicle usage intentions: An empirical study in Malaysia,” Journal of Cleaner Production, vol. 92, pp. 75–83, 2015, doi: 10.1016/j.jclepro.2014.12.045.
  12. Z. Y. She, Qing Sun, J. J. Ma, and B. C. Xie, “What are the barriers to widespread adoption of battery electric vehicles? A survey of public perception in Tianjin, China,” Transport Policy, vol. 56, no. July 2016, pp. 29–40, 2017, doi: 10.1016/j.tranpol.2017.03.001.
  13. N. Berkeley, D. Jarvis, and A. Jones, “Analysing the take up of battery electric vehicles: An investigation of barriers amongst drivers in the UK,” Transportation Research Part D: Transport and Environment, vol. 63, no. June, pp. 466–481, 2018, doi: 10.1016/j.trd.2018.06.016.
  14. M. Giansoldati, A. Monte, and M. Scorrano, “Barriers to the adoption of electric cars: Evidence from an Italian survey,” Energy Policy, vol. 146, no. September, p. 111812, 2020, doi: 10.1016/j.enpol.2020.111812.
  15. S. Habich-Sobiegalla, G. Kostka, and N. Anzinger, “Electric vehicle purchase intentions of Chinese, Russian and Brazilian citizens: An international comparative study,” Journal of cleaner production, vol. 205, pp. 188–200, 2018.
  16. M. Mohamed, C. Higgins, M. Ferguson, and P. Kanaroglou, “Identifying and characterizing potential electric vehicle adopters in Canada: A two-stage modelling approach,” Transport Policy, vol. 52, pp. 100–112, 2016, doi: 10.1016/j.tranpol.2016.07.006.
  17. Z. Rezvani, J. Jansson, and J. Bodin, “Advances in consumer electric vehicle adoption research: A review and research agenda,” Transportation research part D: transport and environment, vol. 34, pp. 122–136, 2015.
  18. D. Rahmanasari, “Analisis Model Adopsi Teknologi Sepeda Motor Listrik Di Indonesia,” 2020.
  19. V. Singh, V. Singh, and S. Vaibhav, “A review and simple meta-analysis of factors influencing adoption of electric vehicles,” Transportation Research Part D: Transport and Environment, vol. 86, p. 102436, 2020.
  20. S. Wang, J. Fan, D. Zhao, S. Yang, and Y. Fu, “Predicting consumers’ intention to adopt hybrid electric vehicles: using an extended version of the theory of planned behavior model,” Transportation, vol. 43, no. 1, pp. 123–143, 2014, doi: 10.1007/s11116-014-9567-9.
  21. S. Asadi et al., “Factors impacting consumers’ intention toward adoption of electric vehicles in Malaysia,” Journal of Cleaner Production, vol. 282, 2021, doi: 10.1016/j.jclepro.2020.124474.
  22. N. Adnan, S. Md Nordin, M. Hadi Amini, and N. Langove, “What make consumer sign up to PHEVs? Predicting Malaysian consumer behavior in adoption of PHEVs,” Transportation Research Part A: Policy and Practice, vol. 113, no. March, pp. 259–278, 2018, doi: 10.1016/j.tra.2018.04.007.
  23. Y. Xu, W. Zhang, H. Bao, S. Zhang, and Y. Xiang, “A SEM-neural network approach to predict customers’ intention to purchase battery electric vehicles in China’s Zhejiang Province,” Sustainability (Switzerland), vol. 11, no. 11, 2019, doi: 10.3390/su11113164.
  24. I. Ajzen, “The Theory of Planned Behavior,” Organizational Behavior And Human Decision Processes, vol. 50, pp. 179–211, 1991, doi: 10.1080/10410236.2018.1493416.
  25. F. Liao, E. Molin, H. Timmermans, and B. van Wee, “Consumer preferences for business models in electric vehicle adoption,” Transport Policy, vol. 73, pp. 12–24, Jan. 2019, doi: 10.1016/J.TRANPOL.2018.10.006.
  26. D. Browne, M. O’Mahony, and B. Caulfield, “How should barriers to alternative fuels and vehicles be classified and potential policies to promote innovative technologies be evaluated?,” Journal of Cleaner Production, vol. 35, pp. 140–151, 2012, doi: 10.1016/j.jclepro.2012.05.019.
  27. R. M. Krause, S. R. Carley, B. W. Lane, and J. D. Graham, “Perception and reality: Public knowledge of plug-in electric vehicles in 21 U.S. cities,” Energy Policy, vol. 63, no. 2013, pp. 433–440, 2013, doi: 10.1016/j.enpol.2013.09.018.
  28. W. Sierzchula, S. Bakker, K. Maat, and B. Van Wee, “The influence of financial incentives and other socio-economic factors on electric vehicle adoption,” Energy Policy, vol. 68, pp. 183–194, 2014, doi: 10.1016/j.enpol.2014.01.043.
  29. X. Zhang, K. Wang, Y. Hao, J. L. Fan, and Y. M. Wei, “The impact of government policy on preference for NEVs: The evidence from China,” Energy Policy, vol. 61, no. 2013, pp. 382–393, 2013, doi: 10.1016/j.enpol.2013.06.114.
  30. H. Quak, N. Nesterova, and T. van Rooijen, “Possibilities and Barriers for Using Electric-powered Vehicles in City Logistics Practice,” Transportation Research Procedia, vol. 12, pp. 157–169, 2016, doi:
  31. R. R. Kumar and K. Alok, “Adoption of electric vehicle: A literature review and prospects for sustainability,” Journal of Cleaner Production, vol. 253, p. 119911, 2020, doi:
  32. A. F. Jensen, E. Cherchi, and S. L. Mabit, “On the stability of preferences and attitudes before and after experiencing an electric vehicle,” Transportation Research Part D: Transport and Environment, vol. 25, pp. 24–32, 2013, doi: 10.1016/j.trd.2013.07.006.
  33. K. S. Caperello, Nicolette D. Kurani, “Households’ Stories of Their Encounters With a Plug-In Hybrid Electric Vehicle,” vol. 44, no. 4, 2011.
  34. J. S. Krupa et al., “Analysis of a consumer survey on plug-in hybrid electric vehicles,” Transportation Research Part A: Policy and Practice, vol. 64, pp. 14–31, 2014, doi: 10.1016/j.tra.2014.02.019.
  35. X. Huang and J. Ge, “Electric vehicle development in Beijing: An analysis of consumer purchase intention,” Journal of Cleaner Production, vol. 216, pp. 361–372, 2019, doi: 10.1016/j.jclepro.2019.01.231.
  36. T. M. W. Mak et al., “Extended theory of planned behaviour for promoting construction waste recycling in Hong Kong,” Waste Management, vol. 83, pp. 161–170, 2019, doi: 10.1016/j.wasman.2018.11.016.
  37. X. Zhang, X. Bai, and H. Zhong, “Electric vehicle adoption in license plate-controlled big cities: Evidence from Beijing,” Journal of cleaner production, vol. 202, pp. 191–196, 2018.
  38. O. Egbue and S. Long, “Barriers to widespread adoption of electric vehicles: An analysis of consumer attitudes and perceptions,” Energy Policy, vol. 48, no. 2012, pp. 717–729, 2012, doi: 10.1016/j.enpol.2012.06.009.
  39. B. K. Sovacool and R. F. Hirsh, “Beyond batteries: An examination of the benefits and barriers to plug-in hybrid electric vehicles (PHEVs) and a vehicle-to-grid (V2G) transition,” Energy Policy, vol. 37, no. 3, pp. 1095–1103, Mar. 2009, doi: 10.1016/J.ENPOL.2008.10.005.
  40. E. Graham-Rowe et al., “Mainstream consumers driving plug-in battery-electric and plug-in hybrid electric cars: A qualitative analysis of responses and evaluations,” Transportation Research Part A: Policy and Practice, vol. 46, no. 1, pp. 140–153, 2012, doi: 10.1016/j.tra.2011.09.008.
  41. J. F. Hair, C. M. Ringle, and M. Sarstedt, “Partial Least Squares: The Better Approach to Structural Equation Modeling?,” Long Range Planning, vol. 45, no. 5–6, pp. 312–319, 2012, doi: 10.1016/j.lrp.2012.09.011.
  42. P. B. Lowry and J. Gaskin, “Partial Least Squares (PLS) Structural Equation Modeling (SEM) for Building and Testing Behavioral Causal Theory: When to Choose It and How to Use It,” IEEE Transactions on Professional Communication, vol. 57, no. 2, pp. 123–146, 2014, doi: 10.1109/TPC.2014.2312452.
  43. J. F. Hair, J. J. Risher, M. Sarstedt, and C. M. Ringle, “When to use and how to report the results of PLS-SEM,” European Business Review, vol. 31, no. 1, pp. 2–24, Jan. 2019, doi: 10.1108/EBR-11-2018-0203.
  44. K. Degirmenci and M. H. Breitner, “Consumer purchase intentions for electric vehicles: Is green more important than price and range?,” Transportation Research Part D: Transport and Environment, vol. 51, pp. 250–260, 2017, doi: 10.1016/j.trd.2017.01.001.
  45. J. Henseler, C. M. Ringle, and M. Sarstedt, “A new criterion for assessing discriminant validity in variance-based structural equation modeling,” Journal of the academy of marketing science, vol. 43, no. 1, pp. 115–135, 2015.