Factors that affect the purchase adoption intention to acquire electric vehicles in Cercado Cochabamba
DOI:
https://doi.org/10.63207/j7e6q954Keywords:
Vehículos eléctricos, comportamiento, actitud, adopciónAbstract
Potential customers' purchasing adoption when purchasing electric vehicles is influenced by factors such as cost, range anxiety, environmental concerns, and government policies. This study aims to determine the factors that influence the adoption intention for the purchase of electric vehicles in the city of Cochabamba – Cercado. A total of 288 elements were surveyed in the city of Cochabamba and subsequently the analysis of the data obtained was carried out. The results of the survey helped to answer the 9 hypotheses raised by the same author. For this analysis, the PLS SEM structural equation modeling technique was applied, using the SMART PLS program. Once the analysis of results is concluded, and after affirming the hypotheses, it is evident that the reliability variable does depend on the variables of charging time, infrastructure and range. It can also be observed that the attitude variable depends on the variables social reputation and environmental concern. and not so much of the price and the incentives.
Downloads
References
REFERENCIAS BIBLIOGRÁFICAS
Aasness, M. A., & Odeck, J. (2015). The increase of electric vehicle usage in Norway—incentives and adverse effects. European Transport Research Review, 7(4). https://doi.org/10.1007/s12544-015-0182-4
Adnan, N., Nordin, S. M., Rahman, I., Vasant, P. M., & Noor, A. (2017). A comprehensive review on theoretical framework-based electric vehicle consumer adoption research. In International Journal of Energy Research (Vol. 41, Issue 3, pp. 317–335). John Wiley and Sons Ltd. https://doi.org/10.1002/er.3640
Adner, R. (2002). When are technologies disruptive? A demand-based view of the emergence of competition. Strategic Management Journal, 23(8), 667–688. https://doi.org/10.1002/smj.246
analisis para determinar el uso. (n.d.).
Barth, M., Jugert, P., & Fritsche, I. (2016). Still underdetected - Social norms and collective efficacy predict the acceptance of electric vehicles in Germany. Transportation Research Part F: Traffic Psychology and Behaviour, 37, 64–77. https://doi.org/10.1016/j.trf.2015.11.011
Bonisoli, L., & Román-Córdova, Y. M. (2023). Relacionando innovación y conciencia ambiental. Análisis de la adopción de los vehículos eléctricos en Ecuador. Revista Geográfica Venezolana, 64(1), 58-72. https://doi.org/10.53766/RGV/2022.64.01.02
Calle, M., & Torres, C. (2023). Impacto de la calidad y valor percibidos sobre la intención de compra: sector automotriz. Revista de Ciencias Sociales y Económicas, 7(1), 12–23. https://doi.org/10.18779/csye.v7i1.645
Carley, S., Krause, R. M., Lane, B. W., & Graham, J. D. (2013). Intent to purchase a plug-in electric vehicle: A survey of early impressions in large US cites. Transportation Research Part D: Transport and Environment, 18(1), 39–45. https://doi.org/10.1016/j.trd.2012.09.007
Consumidor La Adopción De, D. E., Higueras Castillo Director, E., & Liébana Cabanillas, F. (n.d.-a). MODELIZACIÓN DEL COMPORTAMIENTO. http://hdl.handle.net/10481/66725
Consumidor La Adopción De, D. E., Higueras Castillo Director, E., & Liébana Cabanillas, F. (n.d.-b). MODELIZACIÓN DEL COMPORTAMIENTO. http://hdl.handle.net/10481/66725
De Empresas, A. (n.d.). UNIVERSIDAD POLITÉCNICA SALESIANA SEDE QUITO Tesis previa a la obtención del título de: INGENIERO COMERCIAL.
Dominguez-Jimenez, J. A., & Campillo, J. (2020). Increasing driving range for electric vehicles at sub-zero temperatures by optimizing a hybrid storage configuration using supercapacitors. Journal of Physics: Conference Series, 1448(1). https://doi.org/10.1088/1742-6596/1448/1/012014
El País. (2025, enero 8). Por qué Noruega vende ya el 90% de coches eléctricos: exención de IVA, peajes gratis e impuestos para los de combustión. Recuperado de https://elpais.com/clima-y-medio-ambiente/2025-01-08/por-que-noruega-vende-ya-el-90-de-coches-electricos-exencion-de-iva-peajes-gratis-e-impuestos-para-los-de-combustion.html
El País. (2025, enero 8). Chile pisa el acelerador en la compra de automóviles eléctricos: sus ventas aumentaron en 183% en un año. Recuperado de https://elpais.com/chile/2025-01-08/chile-pisa-el-acelerador-en-la-compra-de-automoviles-electricos-sus-ventas-aumentaron-en-183-en-un-ano.html
Huaihai Global. (2023). Modelo de intención de adopción de vehículos eléctricos en Indonesia. Recuperado de https://es.huaihaiglobal.com/guide/adoption-intention-model-of-electric-vehicle-in-indonesia/
Egbue, O., Long, S., & Samaranayake, V. A. (2017). Mass deployment of sustainable transportation: evaluation of factors that influence electric vehicle adoption. Clean Technologies and Environmental Policy, 19(7), 1927–1939. https://doi.org/10.1007/s10098-017-1375-4
estudio 2012. (n.d.).
Explicativos, F., Visionado De Peliculas En, D., De, S., Rodríguez, D., & Benito, R. (n.d.). PROCESO DE DECISIÓN DEL CONSUMIDOR. www.tesisenxarxa.net
García Bernal, N. (2019). Electromovilidad Tendencias y experiencia nacional e internacional Autor.
Goh, Y. N., & Wahid, N. A. (2015). A review on green purchase behaviour trend of Malaysian consumers. Asian Social Science, 11(2), 103–110. https://doi.org/10.5539/ass.v11n2p103
González, D., Tutor, P., & Barreiro, P. (n.d.). PRINCIPIOS BÁSICOS DEL VEHÍCULO ELÉCTRICO Autor: Departamento de Tecnología Electrónica.
He, X., & Zhan, W. (2018). How to activate moral norm to adopt electric vehicles in China? An empirical study based on extended norm activation theory. Journal of Cleaner Production, 172, 3546–3556. https://doi.org/10.1016/j.jclepro.2017.05.088
Henseler, J. (2018). Partial least squares path modeling: Quo vadis? In Quality and Quantity (Vol. 52, Issue 1). Springer Netherlands. https://doi.org/10.1007/s11135-018-0689-6
Henseler, J., Ringle, C. M., & Sarstedt, M. (2016). Testing measurement invariance of composites using partial least squares. International Marketing Review, 33(3), 405–431. https://doi.org/10.1108/IMR-09-2014-0304
Hines, J. M., Hungerford, H. R., & Tomera, A. N. (1987). Analysis and synthesis of research on responsible environmental behavior: A meta-analysis. Journal of Environmental Education, 18(2), 1–8. https://doi.org/10.1080/00958964.1987.9943482
intencion de compra de un vehiculo hibrido-bogota. (n.d.).
Kollmuss, A., & Agyeman, J. (2002). Mind the Gap: Why do people act environmentally and what are the barriers to pro-environmental behavior? Environmental Education Research, 8(3), 239–260. https://doi.org/10.1080/13504620220145401
La, O., Área, P., Economía, D. E., Gerencia, Y., & Paz -Bolivia, L. (2004). UNIVERSIDAD ANDINA SIMÓN BOLÍVAR.
Lane, B., & Potter, S. (2007). The adoption of cleaner vehicles in the UK: exploring the consumer attitude-action gap. Journal of Cleaner Production, 15(11–12), 1085–1092. https://doi.org/10.1016/j.jclepro.2006.05.026
Li, F., Ou, R., Xiao, X., Zhou, K., Xie, W., Ma, D., Liu, K., & Song, Z. (2019). Regional comparison of electric vehicle adoption and emission reduction effects in China. Resources, Conservation and Recycling, 149, 714–726. https://doi.org/10.1016/j.resconrec.2019.01.038
Li, W., Long, R., Chen, H., & Geng, J. (2017). A review of factors influencing consumer intentions to adopt battery electric vehicles. In Renewable and Sustainable Energy Reviews (Vol. 78, pp. 318–328). Elsevier Ltd. https://doi.org/10.1016/j.rser.2017.04.076
Stern, P. C. (n.d.-a). What Psychology Knows About Energy Conservation.
Stern, P. C. (n.d.-b). What Psychology Knows About Energy Conservation.
valor percibido. (n.d.).
Wang, S., Fan, J., Zhao, D., Yang, S., & Fu, Y. (2016). Predicting consumers’ intention to adopt hybrid electric vehicles: using an extended version of the theory of planned behavior model. Transportation, 43(1), 123–143. https://doi.org/10.1007/s11116-014-9567-9
Published
Issue
Section
License
Copyright (c) 2025 Rodrigo Ruiz Andia, José Luis Rodríguez Orihuela, Virginia Mercedes Fernández Daza, Sonia Daniela La Fuente Cardona (Autor/a)
This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
Usted es libre de:
- Compartir — copiar y redistribuir el material en cualquier medio o formato
- Adaptar — remezclar, transformar y construir a partir del material
- La licenciante no puede revocar estas libertades en tanto usted siga los términos de la licencia
Bajo los siguientes términos:
- Atribución — Usted debe dar crédito de manera adecuada , brindar un enlace a la licencia, e indicar si se han realizado cambios . Puede hacerlo en cualquier forma razonable, pero no de forma tal que sugiera que usted o su uso tienen el apoyo de la licenciante.
- NoComercial — Usted no puede hacer uso del material con propósitos comerciales .
- CompartirIgual — Si remezcla, transforma o crea a partir del material, debe distribuir su contribución bajo la la misma licencia del original.
- No hay restricciones adicionales — No puede aplicar términos legales ni medidas tecnológicas que restrinjan legalmente a otras a hacer cualquier uso permitido por la licencia.
