Understanding mass-market electric vehicle adoption: Integrating diffusion of innovation theory with risk mitigation strategy in Germany

IF 13.3 1区 管理学 Q1 BUSINESS
Ellen Enkel , Sander Wintgens
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引用次数: 0

Abstract

The adoption of electric vehicles into the so-called mass market across European countries reveals significant disparities, with Germany lagging behind peers such as Sweden and the Netherlands. This research investigates the challenges of transitioning new technology, exemplified by electric vehicles, to be adopted by the early and late majority through the lens of Rogers' Diffusion of Innovation theory. Following the Unified Theory of Acceptance and Use of Technology (UTAUT), this study reveals that performance expectancy, effort expectancy and risk mitigation significantly influence the behavioral intention to adopt electric vehicles among the early and late majority. This study incorporates novel risk mitigation strategies combined in the non-ownership business model carsharing for electric vehicles, to address perceived financial and functional risks associated with the adoption of electric vehicles, relevant for the targeted adoption group. The data was collected from 519 representatives of the early and late majority sample in Germany. This research contributes to the theoretical understanding of perceived risks and suitable risk mitigation strategies in technology adoption and offers insights into new distinct characteristics of the early and late majority adoption group, relevant to improve the accuracy of forecasting models aimed at predicting technology diffusion.
理解大众市场电动汽车的采用:将德国的创新扩散理论与风险缓解策略相结合
欧洲各国在所谓的大众市场上采用电动汽车的情况显示出巨大的差距,德国落后于瑞典和荷兰等同行。本研究通过罗杰斯的创新扩散理论探讨了新技术转型的挑战,以电动汽车为例,由早期和晚期的大多数人采用。根据技术接受与使用统一理论(UTAUT),本研究发现绩效期望、努力期望和风险缓解显著影响了早期和后期大多数人采用电动汽车的行为意愿。本研究结合了新的风险缓解策略,结合了电动汽车的非所有权商业模式汽车共享,以解决与采用电动汽车相关的感知财务和功能风险,与目标采用群体相关。这些数据是从德国早期和晚期多数样本的519名代表中收集的。这项研究有助于从理论上理解技术采用中的感知风险和适当的风险缓解策略,并提供对早期和晚期多数采用群体的新独特特征的见解,这些特征与提高旨在预测技术扩散的预测模型的准确性有关。
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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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