Perceived value and adoption intention for electric vehicles in Korea: Moderating effects of environmental traits and government supports

Moon-Koo, Kim; Oh, Jee-Sun; Park, Jong‐Hyun; Joo, Changlim

doi:10.1016/j.energy.2018.06.064

Cited by 181 publications

(120 citation statements)

References 59 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Besides, the actual EV users showed a preference for the operational cost subsidy such as an electricity price discount rather than the purchase subsidy. The relationship between the perceived value of EVs and the actual EV selection also showed similar results [39]. However, in Korea, the charging fee of the fast chargers was free until 2015 whereas that of the Level 2 chargers has been collected, and users have to pay the charging fee from 2016(KRW 313.1/kWh, the fee of the Level 2 charger has remained the same) which means that the EV users' financial burden has increased.…”

Section: Literature Reviewmentioning

confidence: 54%

“…Even so, in terms of research, it is relatively difficult to find any existing studies that analyzed the factors of the adoption of the EV. In recent studies, EV diffusion was reviewed based on the stated preference [37][38][39].…”

Section: Literature Reviewmentioning

confidence: 99%

“…Nonetheless, 5914 vehicles, which is more than double that of 2016, were sold compared to the number of EVs sold in 2015 (2907 units). Therefore, the result of [39] might reflect the fact that drivers are not calculating the fuel cost savings correctly or consumer decisions regarding the fuel economy are more heavily influenced by emotion rather than analysis [41,42].…”

Section: Literature Reviewmentioning

confidence: 99%

See 2 more Smart Citations

Key Drivers behind the Adoption of Electric Vehicle in Korea: An Analysis of the Revealed Preferences

Kim

Heo

2019

Sustainability

View full text Add to dashboard Cite

Electrification of passenger cars is one of the most popular ways to decarbonize the transportation sector and to reduce local air pollutants. Many researches have tried to examine what will be the driving factors to achieve the widespread adoption of electric vehicles (EVs). In this study, we analyzed the factors for EV adoption with the data of revealed preference from 2013 to 2017 in Korea. Analyses showed that the driving range of EVs and financial incentives have a positive impact on EV deployment. Also, the driving range is found to be the most critical factor explaining the market growth of EVs. The results suggest that technical improvement increases the value of EVs and in turn raises the probability of consumers’ decision to purchase EVs. Financial incentive as well can encourage consumers to buy EVs, however, is not strong enough to create transitions from internal combustion engine vehicles (ICEVs) to EVs.

show abstract

Section: Literature Reviewmentioning

confidence: 54%

Section: Literature Reviewmentioning

confidence: 99%

Section: Literature Reviewmentioning

confidence: 99%

See 1 more Smart Citation

Key Drivers behind the Adoption of Electric Vehicle in Korea: An Analysis of the Revealed Preferences

Kim

Heo

2019

Sustainability

View full text Add to dashboard Cite

show abstract

“…Regarding situational factors, technical features (including charging time, charging infrastructure, driving range and vehicle performance [22][23][24][25][26][27]), cost (including purchase price and usage costs [28][29][30][31]), environmental attributes [32,33] and government policy [33,34] have been put forward as the main influencing factors. Li [35] and Matthews [36] have stated that professional pre-sale consulting and experience services are key factors.…”

Section: Influential Factors To the Adoption Of Electric Vehicles (Evs)mentioning

confidence: 99%

Investigating the Influence of Consumer Behavior and Governmental Policy on the Diffusion of Electric Vehicles in Beijing, China

Yang

Tan

2019

Sustainability

View full text Add to dashboard Cite

The adoption behavior of electric vehicles (EVs) has received considerable attention. However, the whole process of purchase behavior has not been well understood. In response, this paper investigates the uptake of EVs in Beijing, China, with a focus on the whole process of purchasing an EV, as well as the relevant policies. Specifically, the classical Howard–Sheth theory is used to the analyze the whole process of EV purchasing, which is divided into four stages here, namely, “Ignored and Neglected”, “Proactive Attention”, “Comparison and Selection of Vehicles” and “Usage Evaluation”. Furthermore, several “what-if” scenarios are set up to quantify the influence of some typical EV-related polices, including the license plate lottery policy and no traffic constriction on battery electric vehicles (BEVs). The results suggest: (1) 63.4% of BEV owners have rigid travel demands with cars; (2) BEVs with a driving range of 500 km, 30-minutes charging time and price of RMB 15,000 are the first choices for the majority of people; (3) 64% of BEV owners are influenced by positive comments from the users around them in the adoption of EVs; (4) the no traffic constriction on BEVs tends to be more influential than the license plate lottery policy in terms of the numbers of applications for the vehicle purchase permits and BEV purchasers, as well as energy saving and vehicular emission reduction. These findings should be helpful for different EV-related stakeholders, such as the government, to shape their policies and promote the development of EVs.

show abstract

“…[20] identified that perceived value shows a positive relationship with adoption intention. Consumers usually exhibit a much favorable attitude and intention to adopt or purchase a new product or services when they have a higher perceived value about the product and services [23].…”

Section: Perceived Value and Behavioral Intentionmentioning

confidence: 99%

A Research on the Differences of Consumers on Socio-Demographic Characteristics: The Internet of Things (IoT) Smart Homes

2019

IJITEE

View full text Add to dashboard Cite

Due to the huge potential market demand and rapid technological growth as humans aspire to live in a seamless connected world, the Internet of Things (IoT) has emerged as one of the most popular research topics. Amongst all applications of IoT, Smart Homes has been developed in order to provide home automation, such as intelligent electronic devices and lighting, or voice control over the devices. However, despite a significant number of investments having been invested in its development, IoT Smart Homes is still not an influential threat to traditional conventional houses. Grounded by the Value-Based Adoption Model, this study focused on perceived benefits, perceived sacrifice, perceived value and adoption intention, and strived to examine the differences of individuals in Smart Homes adoption decision in the Malaysia context. Indeed, the sub-dimensions of perceived benefits, namely perceived usefulness, perceived enjoyment and perceived facilitating condition; and perceived sacrifice such as perceived privacy risk, perceived technicality, perceived innovation resistance and perceived fee, were also explored. In addition, due to the growing attention on environmental issues in the recent decades, environmental innovativeness and environmental concern were also studied. The result of analysis showed that individuals were significantly different based on their socio-demographic background. Implications of study were also discussed and recommendations were given based on the research findings

show abstract

Perceived value and adoption intention for electric vehicles in Korea: Moderating effects of environmental traits and government supports

Cited by 181 publications

References 59 publications

Key Drivers behind the Adoption of Electric Vehicle in Korea: An Analysis of the Revealed Preferences

Key Drivers behind the Adoption of Electric Vehicle in Korea: An Analysis of the Revealed Preferences

Investigating the Influence of Consumer Behavior and Governmental Policy on the Diffusion of Electric Vehicles in Beijing, China

A Research on the Differences of Consumers on Socio-Demographic Characteristics: The Internet of Things (IoT) Smart Homes

Contact Info

Product

Resources

About