Factors Influencing Online Electric Car Purchase Behavior in China

Amid intensifying global energy and environmental challenges, numerous countries are implementing measures to decrease the production of conventional fuel car. China has long held a leading position in the manufacturing and sales of electric car, as well as in the e-commerce market. Guided by government policy, Chinese consumers tend to purchase electric car through mass channels. Despite recent attention from consumers towards China's e-commerce and electric car markets, cross-disciplinary research in these fields remains limited. This study employs the Theory of Planned Behavior (TPB) framework to examine how Chinese consumers' attitudes (CA), subjective norm (SN), and perceived behavioral control (PBC) influence their purchase intention (PI) and purchase behavior (PB) regarding electric car purchases. The mediation of purchase intention, along with the moderation of government policy (GP), jointly impacts consumers' decisions to purchase electric car online. This study employs a quantitative research methodology, utilizing a self-designed form for data collection purposes. In accordance with the research objective, this study combines descriptive statistics with inferential analysis methods to process the collected data. Data collection is conducted through online form surveys, utilizing basic data. This study broadens the application of TPB in understanding online electric car purchasing behavior among consumers. Additionally, it offers strategic insights and cooperative directions for policy makers, e-commerce platform operators, electric car manufacturers, and other stakeholders to facilitate online electric car purchases.

Authors

Publication Details

Journal
International Journal of Business and Management
Published
2025-04-17
DOI
https://doi.org/10.5539/ijbm.v20n3p85
Primary Topic
Diverse Topics in Contemporary Research
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Factors Influencing Online Electric Car Purchase Behavior in China

Raja Nerina Raja Yusof, Zhen Xie, Mass Hareeza Ali
International Journal of Business and Management
Diverse Topics in Contemporary Research
article

Factors Influencing Online Electric Car Purchase Behavior in China

Raja Nerina Raja Yusof, Zhen Xie, Mass Hareeza Ali
article en

Abstract

Amid intensifying global energy and environmental challenges, numerous countries are implementing measures to decrease the production of conventional fuel car. China has long held a leading position in the manufacturing and sales of electric car, as well as in the e-commerce market. Guided by government policy, Chinese consumers tend to purchase electric car through mass channels. Despite recent attention from consumers towards China's e-commerce and electric car markets, cross-disciplinary research in these fields remains limited. This study employs the Theory of Planned Behavior (TPB) framework to examine how Chinese consumers' attitudes (CA), subjective norm (SN), and perceived behavioral control (PBC) influence their purchase intention (PI) and purchase behavior (PB) regarding electric car purchases. The mediation of purchase intention, along with the moderation of government policy (GP), jointly impacts consumers' decisions to purchase electric car online. This study employs a quantitative research methodology, utilizing a self-designed form for data collection purposes. In accordance with the research objective, this study combines descriptive statistics with inferential analysis methods to process the collected data. Data collection is conducted through online form surveys, utilizing basic data. This study broadens the application of TPB in understanding online electric car purchasing behavior among consumers. Additionally, it offers strategic insights and cooperative directions for policy makers, e-commerce platform operators, electric car manufacturers, and other stakeholders to facilitate online electric car purchases.

International Journal of Business and ManagementVol. 20(3)
Yuncheng University
Openalex Percentile: Top 91%
Diverse Topics in Contemporary Research
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.