Abstract
While research on electric vehicle adoption has largely focused on total costs of ownership and driving range of electric vehicles, it is a point of interest to determine the relative influence of these factors on purchase intention. Results of a scenario-based experiment reveal that either the price or the range have to be elevated to the level of conventional cars in order to achieve a similar level of purchase intention. Moreover, the impact of the suitability of particular vehicles in terms of total costs of ownership, image and mobility-business-model fit on purchase intention have been investigated. Besides the importance of total costs of ownership and mobility-business-model fit, the image of cars plays an important role in fleet decision making.
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Notes
- 1.
An earlier version of the preliminary study has been published (cf. Müller et al. 2015).
- 2.
Since the construct purchase intention is represented by the mean value of four different items, 5.5 (rounded up to 6) has been considered to represent the lower top-two-box.
References
Banerjee SB (2002) Corporate environmentalism. The construct and its measurement. J Bus Res 55:177–191
Banerjee SB, Iyer ES, Kashyap RK (2003) Corporate environmentalism: antecedents and influence of industry type. J Mark 67(2):106–122
Cable DM, deRue DS (2002) The convergent and discriminant validity of subjective fit perceptions. J Appl Psychol 87(5):875–884
Contestable M, Offer GJ, Slade R, Jaeger F, Thoennes M (2011) Battery electric vehicles, hydrogen fuel cells and biofuels. Which will be the winner? Energy Environ Sci 4:3754–3772
Dodds WB, Monroe KB, Grewal D (1991) The Effects of Price, brand, and store information on buyers’ Product Evaluations. J Mark Res 28(August):307–319
Doll C, Gutmann M, Wietschel M (2011) Integration von Elektrofahrzeugen in Carsharing-Flotten. Fraunhofer Systemforschung Elektromobilität FSEM
German Federal Environmental Agency (2016) Treibhausgas-Emissionen in Deutschland. Retrieved from http://www.umweltbundesamt.de/daten/klimawandel/treibhausgas-emissionen-in-deutschland (24.08.2016)
Gnann T, Plötz P, Wietschel M (2015) What is the market potential of plug-in electric vehicles as commercial passenger cars? A case study from Germany. Published in Transp Res Part D 37:171–187
Grausam M, Parzinger G, Müller U (2015) Handlungsempfehlungen zur Intgeration von Elektromobilität in Flotten für Fuhrparkbetreiber. BMVI, Berlin
Hagman J, Ritzén S, Stier JJ, Susilo Y (2016) Total cost of ownership and its potential implications for battery electric vehicle diffusion. Res Transp Bus Manag 18:11–17
Hiermann G, Puchinger J, Ropke S, Hartl RF (2016) The electric fleet size and mix vehicle routing problem with time windows and recharching stations. Eur J Oper Res 252(3):995–1018
Hindrue MK, Parsons GR, Kempton W, Garnder MP (2011) Willingness to pay for electric vehicles and their attributes. Resour Energy Econ 33(3):686–705
Holtsmark B, Skonhoft A (2014) The Norwegian support and subsidy policy of electric cars. Should it be adopted by other countries? Environ Sci Policy 42:160–168
Kaplan S, Gruper J, Reinthaler M, Klauenberg J (2016) Intentions to introduce electric vehicles in the commercial sector: a model based on the theory of planned behaviour. Res Transp Econ 55:12–19
Kickhäfer K (2013) Marktsimulation zur strategischen Planung von Produktportfolios. Dargestellt am Beispiel innovativer Antriebe in der Automobilindustrie, Springer Gabler, Wiesbaden
Kley F, Lerch C, Dallinger D (2011) New business models for electric cars—A holistic approach. Energy Policy 39:3392–3403
Kraftfahrtbundesamt (KBA) (2016) Neuzulassungen von Pkw im Jahr 2015 nach privaten und gewerblichen Haltern. Retrieved from http://www.kba.de/DE/Statistik/Fahrzeuge/Neuzulassungen/n_jahresbilanz.html?nn=644522 (24.08.2016)
Lane B, Potter S (2007) The adoption of cleaner vehicles in the UK: exploring the consumer attitude-action gap. J Clean Prod 15:1085–1092
Lee EM, Park SY, Lee HJ (2013) Employee perception of CSR activities: Ist antecedents and consequences. J Bus Res 66:1716–1724
Lieven T, Mühlmeier S, Henkel S, Waller JF (2011) Who will buy electric cars? An empirical study in Germany. Transp Res Part D 16:236–243
Müller D, Ommen N, Woisetschläger DM (2015) Ein Segmentierungsansatz für die Adoption von Elektrofahrzeugen in Unternehmen. In: Proff H, Heinzel A, Leisten R, Schmidt A, Schönharting J, Schramm D, Witt G (Hrsg.): Entscheidungen beim Übergang in die Elektromobilität - Technische und betriebswirtschaftliche Aspekte. Springer Gabler, Wiesbaden
Nesbitt K, Sperling D (2001) Fleet purchase behavior: decision processes and implications for new vehicle technologies and fuels. Transp Res Part C 9:297–318
Showcase Electric Mobility Germany (2014) Schaufenster Elektromobilität. Retrieved 15.09.2016 at http://schaufenster-elektromobilitaet.org/de/content/ueber_das_programm/foerderung_schaufensterprogramm/foerderung_schaufensterprogramm_1.html
Sierzchula W, Bakker S, Maat K, van Wee B (2012) Technological diversity of emerging eco-innovations: a case study of the automobile industry. J Clean Prod 37:211–220
Sierzchula W (2014) Factors influencing fleet manager adoption of electric vehicles. Transp Res Part D 31:126–134
Wu G, Inderbitzin A, Bening C (2015) Total cost of ownership of electric vehicles compared to conventional vehicles: a probabilistic analysis and projection across market segments. Published in Energy Policy 80:196–214
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Mau, D., Woisetschläger, D.M. (2018). Determining Relevant Factors in Purchasing Electric Vehicles for Fleets. In: Herrmann, C., Mennenga, M., Böhme, S. (eds) Fleets Go Green. Sustainable Production, Life Cycle Engineering and Management. Springer, Cham. https://doi.org/10.1007/978-3-319-72724-0_3
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