通过必要条件分析研究信任是采用电动汽车共享的关键因素

IF 12.9 1区 管理学 Q1 BUSINESS
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引用次数: 0

摘要

本研究旨在加深我们对采用电动汽车共享的必要条件的理解。考虑到已确定的充分条件(应该具备),我们的研究侧重于确定那些必要条件(必须具备)。具体来说,我们研究了信任作为电动汽车共享计划成功的关键必要因素的作用。我们在计划行为的扩展框架内,结合信任信念,对使用电动汽车共享的意向进行了概念化。利用 317 名台湾受访者的调查数据,我们结合偏最小二乘法结构方程模型,采用了必要条件分析法。主要发现包括:(1)信任与采用意向并无直接关联;然而,信任在意向形成中起着间接作用,是采用电动汽车共享的必备因素。(2) 研究发现,社会压力对于使用意向既不是充分的,也不是必要的。然而,明显缺乏社会压力似乎是采用共享电动汽车失败的保证。(3)我们的研究结果证实了概念和经验上的说法,即对电动汽车共享的积极态度和控制感知是采用电动汽车共享的充分条件和必要条件。我们将详细讨论这对从业人员和研究人员的影响。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Examining trust as a critical factor for the adoption of electric vehicle sharing via necessary condition analysis

This study aimed to deepen our understanding of the necessary conditions for the adoption of electric car sharing. Given the identified sufficient factors (should-have), our study focused on identifying those that are necessary (must-have). Specifically, we investigated the role of trust as a critical, necessary factor for the success of an electric car sharing scheme. We conceptualized the intention to use electric car sharing within an extended framework of planned behavior, incorporating trust beliefs. Using survey data from 317 Taiwanese respondents, we employed necessary condition analysis in combination with partial least squares structural equation modelling. Key findings include (1) Trust is not directly associated with adoption intention; however, it plays an indirect role in intention formation and is a must-have factor for the adoption of electric car sharing. (2) Social pressure was found to be neither sufficient nor necessary for usage intention. However, a distinct lack of social pressure appears to guarantee the failure of electric car sharing adoption. (3) Our results confirm both conceptual and empirical claims that positive attitudes toward, and control perceptions about, electric car sharing are both sufficient and necessary for adoption. The implications for both practitioners and researchers are discussed in detail.

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来源期刊
CiteScore
21.30
自引率
10.80%
发文量
813
期刊介绍: Technological Forecasting and Social Change is a prominent platform for individuals engaged in the methodology and application of technological forecasting and future studies as planning tools, exploring the interconnectedness of social, environmental, and technological factors. In addition to serving as a key forum for these discussions, we offer numerous benefits for authors, including complimentary PDFs, a generous copyright policy, exclusive discounts on Elsevier publications, and more.
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