Evidence map›Paper›PMID 32342430›Full record

ArticleEnvironmental science and pollution research international2020

How does experience impact the adoption willingness of battery electric vehicles? The role of psychological factors.

Rong Liu, Zhihua Ding, Xin Jiang, Jing Sun, Yanling Jiang, Wei Qiang

Abstract read
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In one paragraph

Article in Environmental science and pollution research international, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

11 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. The efficient operating parameter estimation for a simulated plug-in hybrid electric vehicle.Environmental science and pollution research international · 2022
    Article
  8. Are electric vehicles cost competitive? A case study for China based on a lifecycle assessment.Environmental science and pollution research international · 2022
    Article
  9. Article
  10. Article
  11. A trust-enhanced and preference-aware collaborative method for recommending new energy vehicle.Environmental science and pollution research international · 2021
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Rong LiuSchool of Management, China University of Mining and Technology, Xuzhou, 221116, Jiangsu, People's Republic of China.
Zhihua DingSchool of Management, China University of Mining and Technology, Xuzhou, 221116, Jiangsu, People's Republic of China. dingzhihua@cumt.edu.cn.
Xin JiangSchool of Management, China University of Mining and Technology, Xuzhou, 221116, Jiangsu, People's Republic of China.
Jing SunSchool of Management, China University of Mining and Technology, Xuzhou, 221116, Jiangsu, People's Republic of China.
Yanling JiangSchool of Management, China University of Mining and Technology, Xuzhou, 221116, Jiangsu, People's Republic of China.
Wei QiangSchool of Management, China University of Mining and Technology, Xuzhou, 221116, Jiangsu, People's Republic of China.

Funding

National Natural Science Foundation of China 71974190Social Science Foundation of Jiangsu Province(CN) 19GLA005the Double First-Class Initiative Project of China University of Mining and Technology 2018WHCC05
6 · The paper itself

Abstract

Battery electric vehicles (BEV) have become the most effective and environmentally friendly means to replace internal combustion vehicles. However, given the fact that BEV are a relatively new product category, and the majority of car users have little experience of using BEV, consumers often have a misconception about BEV, and thus tend to avoid purchasing an electric vehicle. This paper aims to explore the role of customer experience and demonstrate how this experience affects the adoption willingness of BEV. Based on driving experience and the theory of planned behavior, the authors constructed a framework of influencing factors for electric vehicle adoption willingness with the incorporation of consumer experience as the antecedents of adoption willingness. Using sample data from Jiangsu province, China, our empirical analysis shows that the mean values of the subjective norm, perceived behavioral control, attitudes, and adoption willingness of experienced consumers are significantly higher than those of inexperienced consumers. Further, the adoption willingness is positively influenced by experience through direct and indirect paths, which confirms the significant mediating effects of subjective norm, perceived behavioral control, and attitudes (battery life, cruising range, low noise, and low emission).

Indexed as

Automobile DrivingAttitudeChinaConsumer BehaviorElectric Power SuppliesAdoption willingnessAttitudesBattery electric vehiclesExperiencePerceived behavioral controlSubjective norm

Identifiers

What OpenQuestion holds

Textmetadata
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.