Intention to purchase electric vehicles: Evidence from an emerging market

Tunçel, Niray

doi:10.1016/j.rtbm.2021.100764

Cited by 16 publications

(8 citation statements)

References 68 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Buranelli de Oliveira et al [39] also took structural equation modeling and indicated that attitudes and emotions toward electric car had the highest predictive power for the intention to use. Tunçel [47] furthur adopted partial least square structural equation modeling and revealed that travelers' innovativeness and motivations led to a positive intention toward purchasing electric vehicles. Vafaei-Zadeh [48] combined the theory of planned behavior and the technology acceptance model and found that attitude, subjective norms, perceived behavioral control, price value, and environmental self-image had positive effects on the intention to purchase electric vehicles.…”

Section: Study Methods Of Car Purchase Intentionmentioning

confidence: 99%

Car Purchase Intention Modeling in the Context of COVID-19: An Integrated Analysis of Impact Range and Impact Asymmetry

Zhang

Shao

Wang

et al. 2022

Journal of Advanced Transportation

View full text Add to dashboard Cite

The car purchase intention of noncar owners is closely related to the growth of car ownership and may be changed in the context of COVID-19. This paper aims to investigate the decision-making mechanism of the car purchase intention before COVID-19 and the change of car purchase intention after COVID-19. The contributions of influencing factors are derived from the gradient boosting decision tree model and the asymmetric effects of attitudinal factors are further analyzed based on the three-factor theory. The comprehensive importance hierarchies of the two dependent variables are constructed through the integrated analysis of impact range and impact asymmetry. The results show that people who were previously more willing to buy cars are more likely to increase their willingness to buy after COVID-19. The pre–COVID-19 car purchase intention is primarily determined by shared mobility-related attitudes, while attitudes toward private car use have a greater impact on the post–COVID-19 intention change. These two attitudes are mainly manifested as intention relievers and discouragers before COVID-19, but they are more likely transformed into intention strengtheners and encouragers after COVID-19. The availability of shared mobility has the maximum comprehensive importance to the post–COVID-19 intention change. Therefore, maintaining and promoting the ridership of shared mobility will be the most important prerequisite for alleviating the car purchase intention after COVID-19 pandemic.

show abstract

Section: Study Methods Of Car Purchase Intentionmentioning

confidence: 99%

Car Purchase Intention Modeling in the Context of COVID-19: An Integrated Analysis of Impact Range and Impact Asymmetry

Zhang

Shao

Wang

et al. 2022

Journal of Advanced Transportation

View full text Add to dashboard Cite

show abstract

“…Subsequently, research on EV penetration and acceptance expanded to emerging markets, such as China (Li et al, 2020), India (Shetty et al, 2020), and Malaysia (Asadi et al, 2021). A review of existing literature on EV adoption in various contexts, including both developing and adopting EVs, consumer perceptions towards EVs (Masurali and Surya, 2018;Navalagund et al, 2020;Nazneen et al, 2018), purchase intentions towards EVs (Asadi et al, 2021), and attitudes towards EVs in different country-specific contexts, such as India, Malaysia, China, Spain, Poland and the European Union (Afroz et al, 2015;Junquera et al, 2016;Khurana et al, 2020;Lewicki and Drożdż, 2021;Lo, 2014;Wang et al, 2018) revealed that there remains a significant knowledge gap regarding EV adoption in developing countries as compared to their developed counterparts (Tunçel, 2022). In an India focussed literature search around 25 papers were reviewed and the findings from the most relevant papers are listed as follows.…”

Section: Literature Reviewmentioning

confidence: 99%

Driving sustainable mobility: a study of electric vehicle adoption in rural India

Satpute,

Rai,

Onkar

2024

Proc. Des. Soc.

View full text Add to dashboard Cite

The global push for sustainable and eco-friendly transportation solutions has made the adoption of electric vehicles imperative. In India, EV adoption has shown promise, fueled by diverse product offerings and supportive government policies. However, rural India lags behind in EV adoption, despite being a significant market. To unlock the untapped potential, understanding the needs, attitudes, and barriers of rural consumers is crucial. This research conducts a study of rural Indian consumers and offers valuable design insights for automotive companies to formulate effective future strategies.

show abstract

“…This study establishes some conclusions that can be applied to the business environment. In this regard, given that this type of vehicle is still at an incipient stage in many countries, it will be essential to identify the most important factors driving the adoption of electric vehicles among potential users (Tunçel, 2022). This is an elementary step in product adoption.…”

Section: Conclusion and Policy Implicationsmentioning

confidence: 99%

Examining the two‐dimensional perceived marketplace influence and the role of financial incentives by SEM and ANN

Higueras‐Castillo,

Ramdhony,

Kalinic

et al. 2023

Expert Systems

View full text Add to dashboard Cite

In recent years, research on sustainable consumption has been particularly relevant, highlighting the importance of the collective over the individual to reduce pollution. This study focuses on the study of the perceived marketplace influence (PMI) concept in its organizational and consumer dimensions, together with the financial incentives that exist in the adoption of electric cars and their effect on green customer engagement. A sample of 382 potential buyers of electric vehicles was obtained. A new hybrid analytical approach was taken structural equation modelling and artificial neural network. The research found the most significant variables affecting purchase intention were financial incentives, followed by PMI Organization and finally PMI Consumer. The results of artificial neural network analysis confirmed all the findings of the structural equation modelling, although the importance of each PMI dimension is different for each technique used. The conclusions point to new business opportunities that can be exploited by companies selling this green technology.

show abstract

Intention to purchase electric vehicles: Evidence from an emerging market

Cited by 16 publications

References 68 publications

Car Purchase Intention Modeling in the Context of COVID-19: An Integrated Analysis of Impact Range and Impact Asymmetry

Car Purchase Intention Modeling in the Context of COVID-19: An Integrated Analysis of Impact Range and Impact Asymmetry

Driving sustainable mobility: a study of electric vehicle adoption in rural India

Examining the two‐dimensional perceived marketplace influence and the role of financial incentives by SEM and ANN

Contact Info

Product

Resources

About