Suppr超能文献

影响用户使用新能源汽车意愿的因素。

Factors influencing users' willingness to use new energy vehicles.

机构信息

Department of Industrial Design, College of Design, Jiaxing University, Jiaxing, China.

Department of Fashion Design and Engineering, College of Design, Jiaxing University, Jiaxing, China.

出版信息

PLoS One. 2023 May 18;18(5):e0285815. doi: 10.1371/journal.pone.0285815. eCollection 2023.

Abstract

To understand potential users' behavioral intention (BI) to adopt new energy vehicles (NEVs), a media-based perceptions and adoption model (MPAM) of NEVs geared toward potential NEV consumers was constructed based on social cognition theory, the technology acceptance model, the value acceptance model, perceived risk theory, and the MPAM of autonomous vehicles (AVs). A sample survey including 309 NEV potential users was conducted and the results were analyzed through SPSS 24.0 and SmartPLS 3.0 to test the model and verify the research hypotheses. The results show that mass media (MM) has a direct influence on users' social norms (SNs) and part of product perceptions, and an indirect influence on their BI to adopt NEVs; SNs have a direct influence on product perception, and also indirectly affect BI toward NEVs. Product perception directly and significantly affects BI; perceived usefulness (PU), perceived ease of use (PEOU), and perceived enjoyment (PE) have a positive and significant influence on BI, while both perceived cost (PC) and perceived risk (PR) have a negative and significant impact. This study is a theoretical extension of the technology acceptance model (TAM) to green product adoption scenarios, such as NEVs, in the face of the external stimuli from MM information; it proposes product perception variables and media information effects that are different from the MPAM of AVs. The results are expected to greatly promote NEV design and marketing.

摘要

为了理解潜在用户采用新能源汽车(NEV)的行为意图(BI),基于社会认知理论、技术接受模型、价值接受模型、感知风险理论和自动驾驶汽车(AV)的媒体感知和采用模型(MPAM),构建了面向潜在 NEV 消费者的基于媒体的感知和采用模型(MPAM)。通过 SPSS 24.0 和 SmartPLS 3.0 对包括 309 名潜在 NEV 用户在内的样本进行了调查,并对结果进行了分析,以验证模型和验证研究假设。结果表明,大众媒体(MM)对用户的社会规范(SN)和部分产品感知有直接影响,对其采用新能源汽车的 BI 有间接影响;SN 对产品感知有直接影响,也间接影响他们对 NEV 的 BI。产品感知直接且显著地影响 BI;感知有用性(PU)、感知易用性(PEOU)和感知愉悦感(PE)对 BI 有积极且显著的影响,而感知成本(PC)和感知风险(PR)则有消极且显著的影响。本研究是技术接受模型(TAM)在面对来自 MM 信息的外部刺激时,对新能源汽车等绿色产品采用场景的理论扩展;它提出了不同于 AV 的 MPAM 的产品感知变量和媒体信息效应。预计结果将极大地促进新能源汽车的设计和营销。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3784/10194972/10212180485d/pone.0285815.g001.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验