Who will adopt? Investigating the adoption intention for battery swap technology for electric vehicles

2022 ◽  
Vol 156 ◽  
pp. 111979
Author(s):  
Gibbson Adu-Gyamfi ◽  
Huaming Song ◽  
Bright Obuobi ◽  
Emmanuel Nketiah ◽  
Hong Wang ◽  
...  
Keyword(s):  
Electric Vehicles ◽  
Adoption Intention

scholarly journals Adoption Intention Model of Electric Vehicle in Indonesia

2020 ◽  
Vol 19 (1) ◽  
pp. 70
Author(s):  
Martha Widhi Dela Utami ◽  
Yuniaristanto Yuniaristanto ◽  
Wahyudi Sutopo
Keyword(s):  
Electric Vehicle ◽  
Electric Vehicles ◽  
Online Survey ◽  
Maximum Speed ◽  
Road Transportation ◽  
Intention To Adopt ◽  
General Plan ◽  
Incentive Policies ◽  
The Government ◽  
Adoption Intention

Indonesia’s government was targeting the adoption of 2.1 million units of two-wheeled electric vehicles and 2,200 units of four-wheeled electric vehicles in 2025 through the Republic of Indonesia's Presidential Regulation No. 22 in 2017 about the National Energy General Plan. In 2019, the Government of Indonesia issued Presidential Regulation No. 55 in 2019 concerning the Acceleration of the Battery Electric Vehicle Program for Road Transportation. In 2018, the adoption of two-wheeled electric vehicles only reached 0.14% of the government's target for 2025. Therefore, the adoption of Electric Motorcycle (EM) technology must also consider many factors to be successful. This research develops a non-behavioral electric vehicle adoption intention model. The factors include sociodemographic, financial, technological, and macro-level. The online survey involved 1,223 respondents. Logistic regression is used to obtain the function and probability value of intention to adopt EM in Indonesia. Frequency of sharing on social media, level of environmental awareness, purchase prices, maintenance costs, maximum speed, battery charging time, availability of charging station infrastructure at work, availability of home power based- charging infrastructure, purchase incentive policies, and charging cost discount incentive policies are significantly influencing the intention to adopt electric vehicles. It also shows that the opportunity for Indonesians to adopt electric motorcycles reaches 82.90%. The realization of the adoption of electric motorcycles in Indonesia requires infrastructure readiness and costs that can be accepted by consumers. Lastly, the results of this research provide some suggestions for the government and businesses to accelerate electric motorcycle adoption in Indonesia.

Investigating the role of electric vehicle knowledge in consumer adoption: evidence from an emerging market

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Deepak Jaiswal ◽  
Rishi Kant ◽  
Pankaj Kumar Singh ◽  
Rambalak Yadav
Keyword(s):  
Technology Acceptance ◽  
Electric Vehicle ◽  
Electric Vehicles ◽  
Emerging Market ◽  
Perceived Usefulness ◽  
Consumer Adoption ◽  
Content Type ◽  
Near Future ◽  
Adoption Intention

PurposeThe use of electric vehicles has received popularity as alternative fuel vehicles to reduce greenhouse gas emissions and energy cost, which are expected to perform a crucial role in the near future of emerging mobility markets. The purpose of this empirical study is to analyse the role of electric vehicle knowledge in predicting consumer adoption intention directly and indirectly in the backdrop of an emerging market.Design/methodology/approachThe study approached an extended version of “Technology acceptance model” (TAM) based on the integrated framework of “knowledge-beliefs-intention”. The model was tested via direct and indirect path analyses with the data collected from Indian respondents using an online survey.FindingsThe results indicate the robustness of the present research model, which shows that consumer adoption is significantly driven by electric vehicle knowledge, perceived usefulness, perceived ease of use and perceived risk. Electric vehicle knowledge has emerged as the most powerful cognitive measure, which directly affects the adoption intention along with the measures of “TAM”. Additionally, this also poses a higher indirect effect on adoption intention in the integrated model.Research limitations/implicationsThe study has focused on potential young and educated consumers, which may not be warranted to generalise the research findings, while youth or millennials are more receptive to adopt innovative and clean technology products like electric vehicle. Based on the findings, implications are offered for encouraging electric vehicles in the backdrop of emerging automobile markets.Originality/valueConcerning this cognitive phenomenon of knowledge, scant literature has been explored the role of subjective knowledge in consumer adoption for electric vehicles, particularly in the emerging markets like India. Thus, the present study analyses how consumers' knowledge about electric vehicle affects their decision to adopt this in the near future of Indian zero-emission mobility market.

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

Energy ◽  
2018 ◽  
Vol 159 ◽  
pp. 799-809 ◽  
Author(s):  
Moon-Koo Kim ◽  
Jeesun Oh ◽  
Jong-Hyun Park ◽  
Changlim Joo
Keyword(s):  
Electric Vehicles ◽  
Perceived Value ◽  
Moderating Effects ◽  
Adoption Intention

The influence of knowledge management on adoption intention of electric vehicles: perspective on technological knowledge

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Xingjun Huang ◽  
Yun Lin ◽  
Ming K. Lim ◽  
Ming-Lang Tseng ◽  
Fuli Zhou
Keyword(s):  
Technology Acceptance ◽  
Electric Vehicles ◽  
Original Data ◽  
Technological Knowledge ◽  
Ease Of Use ◽  
Perceived Usefulness ◽  
Perceived Ease Of Use ◽  
Content Type ◽  
Intention To Adopt ◽  
Adoption Intention

PurposeTechnological innovation is one of the remarkable characteristics of electric vehicles (EVs). This study aims to analyze how consumers' technological knowledge affects their intention to adopt EVs.Design/methodology/approachOriginal data were collected via a survey of 443 participants in China. An extended technology acceptance model was constructed to identify the factors influencing consumers' intention to adopt EVs and related technological knowledge pathways.FindingsThe results show that consumer technological knowledge is positively and significantly related to EVs' perceived usefulness, perceived ease of use, perceived fun to use and consumers' intention to adopt EVs. In addition, no direct and significant relationship is found between perceived fun to use and willingness to adopt EVs, from the technical knowledge dimension.Practical implicationsImparting consumers with EV technological knowledge and usefulness may be an effective way to enhance their awareness and willingness to use EVs. Moreover, the role of females in the decision to adopt EVs should not be ignored, especially in decisions to purchase a family car.Originality/valuePrior studies lack a technological knowledge-based view, and few studies have discussed how to explore the effects of consumer technological knowledge about EVs on their adoption intention. This study fills the research gap.

scholarly journals Effect of Policy Incentives on the Uptake of Electric Vehicles in China

2019 ◽  
Vol 11 (12) ◽  
pp. 3323 ◽  
Author(s):  
Wenbo Li ◽  
Ruyin Long ◽  
Hong Chen ◽  
Feiyu Chen ◽  
Xiao Zheng ◽  
...  
Keyword(s):  
Electric Vehicles ◽  
Primary Objective ◽  
Transport Sector ◽  
Annual Data ◽  
Policy Effect ◽  
Driving Restrictions ◽  
To Come ◽  
Policy Incentives ◽  
Adoption Intention ◽  
Public Concerns

In the backdrop of growing public concerns about climate change and air pollution, and the contribution of petroleum combustion in the transport sector to these issues, China has introduced a range of policy incentives for promoting the uptake of electric vehicles (EVs). These incentives have resulted in a rapid increase in EV stocks since the early 2010s, and this trend is expected to continue, or even accelerate, in the years to come, which would, in turn, lead to a policy-oriented EV market. The primary objective of the project is to develop an understanding of the effect of various policy incentives on EV uptake based on annual data of 43 cities from 2011 to 2017, and these policies mainly refer to those that focus on EV purchasing, registering, driving, and charging stages. The novelty of this paper is that we focused on policy effect on EV adoption behavior, rather than adoption intention which has widely been analyzed in previous studies. Results showed that the abolishment of purchasing and driving restriction, government subsidies, purchase tax exemption, and dedicated license plates significantly promote EV diffusion, and the effect of the two restrictions are more powerful. Thus, this study suggested that abolishment of purchasing and driving restrictions can be insisted to drive EV market share, meanwhile improving policies that can guide consumers through various motivations are also necessary.

The adoption of electrics vehicles in Jordan based on theory of planned behavior

2019 ◽  
Vol 2 (2) ◽  
pp. 1-14
Author(s):  
Bilal Eneizan
Keyword(s):  
Electric Vehicle ◽  
Electric Vehicles ◽  
Fossil Fuels ◽  
Behavioral Control ◽  
Subjective Norm ◽  
Positive Influence ◽  
Perceived Behavioral Control ◽  
Intention To Adopt ◽  
Tpb Model ◽  
Adoption Intention

Using the electric vehicles (EVs) is indispensable for the reduction in fossil fuels consumption which are the main cause of carbon emission. However, research investigating the intention to adopt electric vehicle from developing countries perspective is limited. To fill this gap, this study used TPB model to study the effect of Attitude towards adoption EV, Subjective norm, and Perceived behavioral control on Intention to adopt electric vehicle. The conceptual framework of the study hypothesized several relationships and for that the data was collected through a questionnaire from a sample of 250 individual in Jordan. Results show that Attitude towards adoption EV, Subjective norm, and Perceived behavioral control have a positive influence on EV adoption intention. The findings lead towards the important implications that will help understanding consumer behavior towards adoption of EVs.

Sign in / Sign up

Export Citation Format

Share Document