心理因素对消费者购买电动汽车意向的影响:中国案例研究从自我决定理论的视角整合必要条件分析方法

IF 2.6 Q2 ENGINEERING, ELECTRICAL & ELECTRONIC World Electric Vehicle Journal Pub Date : 2024-07-24 DOI:10.3390/wevj15080331
Haipeng Zhao, F. Furuoka, R. Rasiah
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引用次数: 0

摘要

本文以自我决定理论(SDT)为视角,探讨了心理因素对消费者购买电动汽车(EV)意向的影响。通过整合自主性、相关性和能力三个维度,本研究填补了消费者创新消费方面的研究空白,为绿色交通提供了更深入的理解。研究发现,心理因素对创新消费和电动汽车购买意向有重要影响,这与现有文献一致。在可持续交通中,动机、态度和内心活动等心理因素越来越多地推动购买决策。本研究采用偏最小二乘法结构方程模型(PLS-SEM)和必要条件分析法(NCA)研究了心理因素对购买意向的直接和间接影响。研究还考虑了驾驶经验在心理因素与创新消费关系中的调节作用。这种综合数据分析方法提供了对购买意向影响机制的全面理解,突出了在电动汽车采用过程中心理决定因素与消费者行为之间错综复杂的相互作用。
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The Influence of Psychological Factors on Consumer Purchase Intention for Electric Vehicles: Case Study from China: Integrating the Necessary Condition Analysis Methodology from the Perspective of Self-Determination Theory
This paper examines the impact of psychological factors on consumer purchase intention for electric vehicles (EVs) through the lens of Self-Determination Theory (SDT). By integrating the three dimensions of autonomy, relatedness, and competence, this study addresses a research gap in consumer innovative consumption, offering a deeper understanding of green transportation. The research reveals that psychological factors significantly influence innovative consumption and the purchase intention of EVs, aligning with the existing literature. In sustainable transportation, psychological factors such as motivation, attitude, and inner activities increasingly drive purchase decisions. This study examines the direct and indirect effects of psychological factors on purchase intention by employing Partial Least Squares Structural Equation Modeling (PLS-SEM) and Necessary Condition Analysis (NCA). It also considers the moderating role of driving experience in the relationship between psychological factors and innovative consumption. This combined data analysis approach provides a comprehensive understanding of the mechanisms influencing purchase intention, highlighting the intricate interplay between psychological determinants and consumer behavior in the adoption of electric vehicles.
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来源期刊
World Electric Vehicle Journal
World Electric Vehicle Journal Engineering-Automotive Engineering
CiteScore
4.50
自引率
8.70%
发文量
196
审稿时长
8 weeks
期刊最新文献
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