城市电动汽车的采用与可持续性:一个技术接受模型分析

Didip Diandra, Endang Ruswanti, Zainur Hidayah, Ahmad Azmy
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引用次数: 0

摘要

本研究旨在将自我形象动机的技术接受模型理论应用于电动汽车的采用,以作为其象征意义。在雅加达这样的城市,电动汽车预计在不久的将来会增长,这种汽车有助于减少空气污染和温室气体。与传统汽车不同,电动汽车已经成为一种可持续的交通工具。然而,消费者移动出行的切换模式速度和对新技术的接受程度仍然是不确定的,需要基于“感知利益-态度-意向”的综合方法对电动汽车的潜在购买者群体进行深入探索。本研究运用TAM理论构建电动汽车使用模型。考察了亲环境动机和亲创新动机的中介作用。通过结构化的在线调查问卷收集数据,获得定量数据。采用结构方程模型(SEM) PLS 3.0对模型进行实证检验。调查结果证实,消费者采用电动汽车的意愿显著,并对态度产生积极影响。消费者采用电动汽车有两种截然不同的动机,一种是环保,另一种是创新。这项研究为现有的电动汽车文献提供了新的基础。本文的研究结果可为政策制定者和知名学者提供更深入的见解,以鼓励电动汽车的采用,并指导未来全球城市的研究。
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Electric Vehicle Adoption and Sustainability in the Urban City: A Technology Acceptance Model Analysis
This study aims to operationalize the theory of Technology Acceptance Model (TAM) with self- image motives as symbolic meaning for Electric Vehicle (EVs) adoption. EVs in urban city like Jakarta is expected to grow in near future, the vehicle contributes to the reduction of air pollution and greenhouse. Unlike the conventional, EVs has emerged as sustainable transportation one. However, switching mode speed of consumer mobility and the acceptance of new technology is still undefinable and required to explore deeply on the potential buyer segments of EVs based on integrative approach of ‘perceived benefits-attitude-intention’. This research applied the theory of TAM to construct the model of EVs adoption. The mediating role of pro-environmental motives and pro-innovative motives are examined. Data collected with online survey through structured questionnaire and obtained quantitative data. The model was empirically tested by structural equation modelling (SEM) PLS 3.0. The findings confirm that the consumer intention to adopt EVs were significant and positively effects the attitude. They are two distinct sets of consumer motives toward EVs adoption both are pro-environmentalist and pro-innovativeness. This study provides new grounding for the existing EVs literature. The implications are recommended, which may offer deeper insight for policymaker and prominent scholars to encourage EVs adoption and direct the future research for global urban city.
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