Consumer purchase intentions for electric vehicles: Is green more important than price and range?

Degirmenci, Kenan; Breitner, Michael H.

doi:10.1016/j.trd.2017.01.001

Cited by 320 publications

(183 citation statements)

References 46 publications

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“…A broad range of intentions and behaviors in various research areas have been explained by using the TPB model, including existing green research pertaining to the use of BEVs (e.g., Huang and Ge [5]; Paul et al [41]; Degirmenci and Breitner [42]; Ritter et al [43]; Jing et al [44]).…”

Section: Theory Of Planned Behavior (Tpb)mentioning

confidence: 99%

A SEM–Neural Network Approach to Predict Customers’ Intention to Purchase Battery Electric Vehicles in China’s Zhejiang Province

Zhang

Bao

et al. 2019

Sustainability

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As part of the increasing efforts toward the prevention and control of motor vehicle pollution, the Chinese government has practiced a range of policies to stimulate the purchase and use of battery electric vehicles (BEVs). Zhejiang Province, a key province in China, has proactively implemented and monitored an environmental protection plan. This study aims to contribute toward streamlining marketing and planning activities to introduce strategic policies that stimulate the purchase and use of BEVs. This study considers the nature of human behavior by extending the theory of planned behavior model to identify its predictors, as well as its non-linear relationship with customers' purchase intention. To better understand the predictors, a substantial literature review was given to validate the hypotheses. A quantitative study using 382 surveys completed by customers in Zhejiang Province was conducted by integrating a structural equation model (SEM) and a neural network (NN). The initial analysis results from the SEM revealed five factors that have impacted the customers' purchase intention of BEVs. In the second phase, the normalized importance among those five significant predictors was ranked using the NN. The findings have provided theoretical implications to scholars and academics, and managerial implications to enterprises, and are also helpful for decision makers to implement appropriate policies to promote the purchase intention of BEVs, thereby improving the air quality.

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Section: Theory Of Planned Behavior (Tpb)mentioning

confidence: 99%

A SEM–Neural Network Approach to Predict Customers’ Intention to Purchase Battery Electric Vehicles in China’s Zhejiang Province

Zhang

Bao

et al. 2019

Sustainability

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show abstract

“…The Volkswagen scandal, in which the company used "defeat devices" to cheat emissions tests, severely threatened the company's image and undermined public trust in the brand [55], with significant financial consequences; an overall sales drop of 7.9% in 2015 [56]. Further, sustainable demands are producing high demand for cars that are safer for our environment [57]. When Nissan Motors launched its Leaf model, the first 100% electric car, customer response was overwhelming, with sales of over 110,000 units globally [58].…”

Section: Sustainability In the Automotive Industrymentioning

confidence: 99%

“…Toyota, for instance, has implemented an eco-driving service that supports the driver in optimizing route choice and driving behavior to reduce vehicle emissions, generating significant benefits in fuel saving and improved air quality [76]. Green services may also serve as a mechanism through which to achieve sustainability recognition, provide a differentiated (sustainability-oriented) corporate image [53] and satisfy increased customer awareness of environmental issues [57]. Such services may enable companies to gain competitive advantages derived from sustainable management [77].…”

Section: Green Servitization (Environmentally-oriented Services)mentioning

confidence: 99%

Uncovering Productivity Gains of Digital and Green Servitization: Implications from the Automotive Industry

2018

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Abstract:The growing industrial concern about sustainability challenges has driven vehicle and auto parts manufacturers to adopt service capabilities as a way to maintain competitiveness in compliance with environmental regulations. As a result, automakers have progressively integrated digital and green service initiatives to support operations and address environmental issues effectively. The present study examined the effect of digital and green servitization on the firm's productivity. To test their effect quantitatively, this study used the ORBIS database to construct a multi-country sample containing 228 companies in the automotive industry. Our findings indicate that implementation of digital and green servitization is positively associated with higher productivity outcomes once the two forms of servitization coexist and operate jointly. Moreover, the results of the study underscore the importance of establishing a successional pathway of implementation priorities. Our evidence suggests that firms willing to offer green services should consider offering digital services first, as this is the only way to obtain productivity gains from green servitization.

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“…Although range anxiety was a stronger concern, environmental concerns were demonstrated in Danish research (Jensen, Cherchi, & Mabit, 2013) to increase preferences for EVs both before and after driving an EV for three months. However, a German trial by Degirmenci and Breitner (2017) gave different results; surveying mainly young male German university students with limited EV experience found environmental performance of EVs was a stronger predictor of attitude and thus purchase intention than price or vehicle range. However, that these students may not have been intending to buy a car in the near future may have influenced their stated preferences.…”

Section: Environmental Concerns and Other Negative Externalitiesmentioning

confidence: 99%

Electric vehicle adoption: An analysis of best practice and pitfalls for policy making from experiences of Europe and the US

2017

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Accelerating the rate of electric vehicle (EV) adoption is an objective of many countries to mitigate and ameliorate negative externalities arising from the use of fossil fuels for personal motorised transportation including: greenhouse gas (GHG) emissions, air pollution and noise, as well as increasing energy security and reducing budget deficits. Within the dynamic field of EVs, this paper highlights strategic directions for policy makers to increase EV uptake. The paper critically reviews measures adopted by some industrialised countries to motivate consumer purchase of EVs rather than conventional internal combustion vehicles (ICVs). A key focus is the role of financial and soft incentives to encourage EV adoption. The analysis reveals that not all incentives are equally effective; an adequate recharger network appears to be a common concerning factor for EV adoption due to customer anxiety and vehicle limitations. Best practice strategies that could foster a faster transition to EV adoption include appropriate legislation, installation and maintenance of an adequate public recharger network, government procurement programs, and investment in information programs to accelerate the transition towards fossil free driving. The paper evidences how implementation of these strategies can affect overall adoption rates.

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Consumer purchase intentions for electric vehicles: Is green more important than price and range?

Cited by 320 publications

References 46 publications

A SEM–Neural Network Approach to Predict Customers’ Intention to Purchase Battery Electric Vehicles in China’s Zhejiang Province

A SEM–Neural Network Approach to Predict Customers’ Intention to Purchase Battery Electric Vehicles in China’s Zhejiang Province

Uncovering Productivity Gains of Digital and Green Servitization: Implications from the Automotive Industry

Electric vehicle adoption: An analysis of best practice and pitfalls for policy making from experiences of Europe and the US

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