{"title":"Risky roads: Unraveling used electronic vehicle resistance from the Perspective of social amplification of risk theory","authors":"Zhenya Tang , Xueyan Dong , Yuxin Tian , Jianliang Hao , Merrill Warkentin","doi":"10.1016/j.trf.2025.07.012","DOIUrl":null,"url":null,"abstract":"<div><div>This study investigates the factors contributing to consumer resistance toward used electric vehicles (EVs) through the lens of social amplification of risk theory. Despite the rapid growth in new EV sales, adoption of used EVs remains limited, largely due to consumer concerns around various perceived risks. Using an online survey to collect data from 409 potential used EV buyers in China, we examine how different risk dimensions, such as image risk, technological obsolescence risk, financial risk (low resale value), and performance risk, influence consumers’ resistance to used EVs. Additionally, we explore EV knowledge and negative word-of-mouth as antecedents to perceived risk, aligning with social amplification of risk theory to understand how these factors intensify risk perceptions. We used structural equation modeling to analyze the data. The results supported 11 out of 12 hypotheses, confirming that higher EV knowledge and exposure to negative word-of-mouth amplify perceived risks, which in turn significantly increase resistance to used EV adoption. This study offers theoretical and practical implications for addressing consumer hesitance and fostering greater acceptance within the used EV market.</div></div>","PeriodicalId":48355,"journal":{"name":"Transportation Research Part F-Traffic Psychology and Behaviour","volume":"114 ","pages":"Pages 1179-1194"},"PeriodicalIF":4.4000,"publicationDate":"2025-07-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Transportation Research Part F-Traffic Psychology and Behaviour","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1369847825002505","RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"PSYCHOLOGY, APPLIED","Score":null,"Total":0}
引用次数: 0
Abstract
This study investigates the factors contributing to consumer resistance toward used electric vehicles (EVs) through the lens of social amplification of risk theory. Despite the rapid growth in new EV sales, adoption of used EVs remains limited, largely due to consumer concerns around various perceived risks. Using an online survey to collect data from 409 potential used EV buyers in China, we examine how different risk dimensions, such as image risk, technological obsolescence risk, financial risk (low resale value), and performance risk, influence consumers’ resistance to used EVs. Additionally, we explore EV knowledge and negative word-of-mouth as antecedents to perceived risk, aligning with social amplification of risk theory to understand how these factors intensify risk perceptions. We used structural equation modeling to analyze the data. The results supported 11 out of 12 hypotheses, confirming that higher EV knowledge and exposure to negative word-of-mouth amplify perceived risks, which in turn significantly increase resistance to used EV adoption. This study offers theoretical and practical implications for addressing consumer hesitance and fostering greater acceptance within the used EV market.
期刊介绍:
Transportation Research Part F: Traffic Psychology and Behaviour focuses on the behavioural and psychological aspects of traffic and transport. The aim of the journal is to enhance theory development, improve the quality of empirical studies and to stimulate the application of research findings in practice. TRF provides a focus and a means of communication for the considerable amount of research activities that are now being carried out in this field. The journal provides a forum for transportation researchers, psychologists, ergonomists, engineers and policy-makers with an interest in traffic and transport psychology.