Abstract
Electromobility is a hot topic for discussions held both at the level of governments and in the commercial sphere. Economists and marketers are aware that one of the key factors influencing future consumer behavior is the “purchase intention”. This article focuses on the context and factors influencing market potential of electric vehicles in Czechia. Based on primary surveyed data and the research performed, we can say that the ownership of an electric vehicle itself is perceived positively by consumers, but only 17% of consumers see electric vehicles as the dominant source of future mobility. Consumers believe in hybrid engines, yet they do not support major tax breaks or other benefits associated with the ownership and operation of an electric engine car. The only aspect in which state support would be welcomed is the support of infrastructure for charging electric vehicles.
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References
Adnan, N., Nordin, S.M., Rahman, I., Amini, M.H.: A market modeling review study on predicting Malaysian consumer behavior towards widespread adoption of PHEV/EV. Environ. Sci. Pollut. Res. 24(22), 17955–17975 (2017). https://doi.org/10.1007/s11356-017-9153-8
Ajanovic, A.: The future of electric vehicles: prospects and impediments. Interdiscipl. Rev. Energy Environ. 4(6), 521–536 (2015). https://doi.org/10.1002/wene.160
Aruna, D., Mukherjee, K.: Payment methods and their effect on durable goods replacement. J. Consum. Market. 36(4), 484–493 (2019). https://doi.org/10.1108/JCM-11-2017-2435
Chadha, S., Kansal, P., Goel, S.: The effect of perception of complaint management system on purchase intention: the mediating role of cognitive dissonance. Vis. J. Bus. Perspect. 22(4), 347–355 (2018). https://doi.org/10.1177/0972262918803473
Cox, B., Mutel, C., Bauer, C., Mendoza, A., van Vuuren, D.: Uncertain environmental footprint of current and future battery electric vehicles. Environ. Sci. Technol. 52(8), 49–89 (2018). https://doi.org/10.1021/acs.est.8b00261
European Automobile Manufacturers Association: Facts about the Automobile Industry. https://www.acea.be/automobile-industry/facts-about-the-industry. Accessed 10 Dec 2020
European Commission: 2030 climate & energy framework (2018). https://ec.europa.eu/clima/policies/strategies/2030_en. Accessed 10 Dec 2020
European Parliament: Emission performance standards for new passenger cars and for new light commercial vehicles (2019). https://www.europarl.europa.eu/doceo/document/TA-8-2019-03-27_EN.html#sdocta10. Accessed 10 Dec 2020
Fang, S., Chang, E., Ou, C., Chou, C.: Internal market orientation, market capabilities and learning orientation. Eur. J. Market. 48(1/2), 170–192 (2014). https://doi.org/10.1108/EJM-06-2010-0353
Formánek, T., Tahal, R.: Socio-demographic aspects affecting individual stances towards electric and hybrid vehicles in the Czech Republic. Cent. Eur. Bus. Rev. 9(2), 78–93 (2020). https://doi.org/10.18267/j.cebr.238
Fox, J.: polycor: Polychoric and Polyserial Correlations. R package version 0.7-9. https://CRAN.R-project.org/package=polycor. Accessed 10 Dec 2020
Gibbons, J., Chakraborti, S.: Nonparametric Statistical Inference, 4th edn. CRC Press, Berlin (2003)
Juster, F.: Prediction and consumer buying intentions. Am. Econ. Rev. 50(2), 604–617 (1960)
Liu, Q., Zhang, X., Huang, S., Zhang, L., Zhao, Y.: Exploring consumers’ buying behavior in a large online promotion activity: the role of psychological distance and involvement. J. Theoret. Appl. Electr. Comm. Res. 15(1), 66–80 (2020). https://doi.org/10.4067/S0718-18762020000100106
Maroukian, K., Apostolopoulos, C., Tsaramirsis, G.: Extending model driven engineering aspects to business engineering domain: a model driven business engineering approach. Int. J. Inf. Technol. 9(1), 49–57 (2017). https://doi.org/10.1007/s41870-017-0009-8
Martenson, R.: When is green a purchase motive? Different answers from different selves. Int. J. Retail Distrib. Manag. 46(1), 21–33 (2018). https://doi.org/10.1108/IJRDM-11-2016-0228
Morrison, D.: Purchase intentions and purchase behavior. J. Market. 43(2), 65–74 (1979)
Nisel, R.: Analysis of consumer characteristics which influence the determinants of buying decisions by the logistic regression model. Logist. Inf. Manag. 14(3), 223–228 (2001). https://doi.org/10.1108/09576050110390257
Radoias, V.: Direct and indirect price discrimination in the automotive industries of the European Union. Empir. Econ. 50(3), 975–990 (2015). https://doi.org/10.1007/s00181-015-0950-y
Revelle, W.: psych: procedures for personality and psychological research. https://cran.r-project.org/web/packages/psych/index.html. Accessed 10 Dec 2020
Stoean, L.: Trends and top priorities in automotive industry. Qual. Access Success 20(S2), 624–629 (2019)
Tahal, R., Formánek, T.: Reflection of GDPR by the Czech Population. Manag. Market. Challenges Knowl. Soc. 15(1), 78–94 (2020). https://doi.org/10.2478/mmcks-2020-0005
Tahal, R., Formánek, T., Mohelská, H.: Loyalty programs and personal data sharing preferences in the Czech Republic. Econ. Manag. 20(1), 187–199 (2017). https://doi.org/10.15240/tul/001/2017-1-013
Takumi, K.: Loyalty management in durable consumer goods: trends in the influence of recommendation intention on repurchase intention by time after purchase. J. Market. Anal. 7(2), 76–83 (2019). https://doi.org/10.1057/s41270-019-00050-x
Yong, N., Ariffin, S., Ne, G., Wahid, N.: A study of factors influencing consumer’s purchase intention toward green vehicles: evidence from Malaysia. Glob. Bus. Manag. Res. 9(4), 281–297 (2017)
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Institutional research support provided by Faculty of Informatics and Statistics, University of Economics, Prague.
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Formánek, T., Tahal, R. (2021). Electric and Hybrid Vehicles: Analysis of Factors Influencing Purchase Intentions of Consumers in Czechia. In: Silhavy, R., Silhavy, P., Prokopova, Z. (eds) Data Science and Intelligent Systems. CoMeSySo 2021. Lecture Notes in Networks and Systems, vol 231. Springer, Cham. https://doi.org/10.1007/978-3-030-90321-3_7
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