A dynamic marketing model for hybrid electric vehicles: A case study of Taiwan

Hsu, Chaug‐Ing; Li, Hui-Chieh; Lu, Shan-Mei

doi:10.1016/j.trd.2013.01.001

Cited by 23 publications

(10 citation statements)

References 16 publications

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“…Several qualitative studies found that social influence plays an important positive role in EV promotion Axsen, Orlebar, & Skippon, 2013). Among choice studies, the influence of an individual's social network on HEV adoption has been demonstrated (He, Wang, Chen, & Conzelmann, 2014;Hsu, Li, & Lu, 2013). Social norm has also been found to be significant: a higher EV market share increases EV preference (Mau et al, 2008).…”

Section: Social Influencementioning

confidence: 99%

Consumer preferences for electric vehicles: a literature review

2016

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Widespread adoption of electric vehicles (EVs) may contribute to the alleviation of problems such as environmental pollution, global warming and oil dependency. However, the current market penetration of EV is relatively low in spite of many governments implementing strong promotion policies. This paper presents a comprehensive review of studies on consumer preferences for EV, aiming to better inform policy-makers and give direction to further research. First, we compare the economic and psychological approach towards this topic, followed by a conceptual framework of EV preferences which is then implemented to organise our review. We also briefly review the modelling techniques applied in the selected studies. Estimates of consumer preferences for financial, technical, infrastructure and policy attributes are then reviewed. A categorisation of influential factors for consumer preferences into groups such as socioeconomic variables, psychological factors, mobility condition, social influence, etc. is then made and their effects are elaborated. Finally, we discuss a research agenda to improve EV consumer preference studies and give recommendations for further research.

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Section: Social Influencementioning

confidence: 99%

Consumer preferences for electric vehicles: a literature review

2016

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“…Hutter et al (2013) found a positive association between membership and purchase intentions within Germany and that inspired members to communicate positively with others outside of this social network. Referred to as electronic word of mouth (eWOM), on-line conversations about new products within social networks are both increasing (Mohammad Reza and Neda, 2012) and having an effect on vehicle choices (Feng and Papatla, 2012;Hsu et al, 2013;Hutter et al, 2013;Sha et al, 2012;Ting et al, 2011).…”

Section: Interpersonal Communicationmentioning

confidence: 99%

“…Interpersonal communication Axsen et al (2013), Baltas and Saridakis (2013), Hsu et al (2013), Hutter et al (2013), Kulkarni et al (2012), Mohammad Reza and Neda (2012) The table illustrates the use of control variables within studies distinguishing between (a) individual characteristics such as income, education and gender (b) the physical environment such as rural or urban setting, type of residential environment and (c) vehicle characteristics such as type of fuel, speed, range, price etc. It shows there is some commonality in model specification (and use of control variables) between studies that frame specific types of social influence.…”

Section: Studies Control For Variation In Vehicle Characteristicsmentioning

confidence: 99%

Social influence in the global diffusion of alternative fuel vehicles – A meta-analysis

Pettifor

Wilson

Axsen

et al. 2017

Journal of Transport Geography

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Alternative fuel vehicle technologies are needed to mitigate rising greenhouse gas emissions from transport. Social influence is integral to the diffusion of private vehicles which are highly visible and fulfil practical as well as social functions. This paper provides the first meta-analysis of empirical studies which measure the strength of social influence on consumer vehicle choice. A systematic literature review identified 21 studies that examined three types of social influence: interpersonal communication; neighbourhood effect; and conformity with social norms. A random effects meta-analysis found a significant and small to moderate effect of social influence on vehicle choices (r = 0.241, p < 0.001). The overall effect size did not vary significantly between types of social influence nor between types of vehicle (conventional or alternative fuel). However, further analysis using meta-regression found that heterogeneity in social influence effect size across studies was explained by differences in countries' cultural receptiveness to normative influence. These findings have important implications for policy and modelling analysis of alternative fuel vehicle adoption, for which diffusion is both a socially and culturally-mediated process

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“…Most of the contributions on non-instrumental attributes directly investigated the role of the perception of environmental benefits (Graham-Rowe et al, 2012;Caperello and Kurani, 2012;Gardner and Abraham, 2007;Lieven et al, 2011;Musti and Kockelman, 2011), of environmental awareness (Hsu et al, 2013;Bolduc et al, 2008), of pro-environmental attitudes (Egbue and Long, 2012;Skippon and Garwood, 2011;Krupa et al, 2014;Carley et al, 2013;Graham-Rowe et al, 2012) and of knowledge and beliefs about the environment (Axsen et al, 2012;Egbue and Long, 2012;Carley et al, 2013;Krupa et al, 2014;Lane and Potter, 2007). If on the one hand, most of the cited contributions have pointed out the positive effect of such attitudes, on the other hand, it has been also shown that the environmental benefits of EVs are not highly valued by most drivers.…”

Section: Technological Frameworkmentioning

confidence: 99%

“…availability, acceleration, top speed luggage space Dagsvik et al, 2002;Santini and Vyas, 2005;Bolduc et al, 2008;Struben and Sterman, 2008;Ozaki and Sevastyanova, 2011;Qian and Soopramanien, 2011;Zhang et al, 2011;Skippon and Garwood, 2011;Egbue and Long, 2012;Jensen et al, 2013;Lee et al, 2013;Van Rijnsoever et al, 2013;Carley et al, 2013;Krupa et al, 2014 Driver/user types, technology attitudes and vehicle technologies Sikes et al, 2010;Hackbarth and Madlener, 2013 Government subsidies tax policies Santini and Vyas, 2005;Lane and Potter, 2007;Potoglou and Kanaroglou, 2007;Diamond, 2009;Ozaki and Sevastyanova, 2011;Qian and Soopramanien, 2011;Zhang et al, 2011;Hsu et al, 2013;Lee et al, 2013;Glerum, 2013;Chorus et al, 2013;Hackbarth and Madlener, 2013;Hoen and Koetse, 2014;Krupa et al, 2014 Brand, design number of vehicle types Santini and Vyas, 2005;Potoglou and Kanaroglou, 2007;Egbue and Long, 2012;Chorus et al, 2013;Axsen and Kurani, 2013;Glerum, 2013;Hoen and Koetse, 2014 Free parking, free access to restricted traffic zones, preferential lanes Bolduc et al, 2008;Diamond, 2009;…”

Section: Attributes Contributionsmentioning

confidence: 99%