{"title":"Consumers’ adoption of autonomous cars as a personal values-directed behavior","authors":"B. Crisafulli , R. Guesalaga , R. Dimitriu","doi":"10.1016/j.jbusres.2024.115106","DOIUrl":null,"url":null,"abstract":"<div><div>Autonomous cars are the future of transportation. Manufacturers’ success is, nonetheless, dependent on consumers’ adoption of such innovation. Past studies distinguish between factors contributing to autonomous cars’ adoption and those prompting resistance. Extant evidence does not explain, however, when and why certain factors both facilitate and inhibit adoption. Addressing this gap, we propose a personal values-directed perspective on consumers’ adoption of autonomous cars. Through a means-end chain analysis of 54 laddering interviews and an online survey, we show that personal values function as a sense-making mechanism in innovation adoption decisions. We propose a comprehensive set of consumer-perceived consequences arising from autonomous cars’ attributes, which explain adoption and non-adoption based on personal values. Notably, we show an innovative application of means-end chain analysis based on bipolar hierarchical value maps to investigate the adoption of highly novel innovations. Findings have implications for managers seeking to encourage the adoption of yet-to-be-commercially-launched innovations.</div></div>","PeriodicalId":15123,"journal":{"name":"Journal of Business Research","volume":"189 ","pages":"Article 115106"},"PeriodicalIF":9.8000,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Business Research","FirstCategoryId":"91","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0148296324006106","RegionNum":1,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"BUSINESS","Score":null,"Total":0}
引用次数: 0
Abstract
Autonomous cars are the future of transportation. Manufacturers’ success is, nonetheless, dependent on consumers’ adoption of such innovation. Past studies distinguish between factors contributing to autonomous cars’ adoption and those prompting resistance. Extant evidence does not explain, however, when and why certain factors both facilitate and inhibit adoption. Addressing this gap, we propose a personal values-directed perspective on consumers’ adoption of autonomous cars. Through a means-end chain analysis of 54 laddering interviews and an online survey, we show that personal values function as a sense-making mechanism in innovation adoption decisions. We propose a comprehensive set of consumer-perceived consequences arising from autonomous cars’ attributes, which explain adoption and non-adoption based on personal values. Notably, we show an innovative application of means-end chain analysis based on bipolar hierarchical value maps to investigate the adoption of highly novel innovations. Findings have implications for managers seeking to encourage the adoption of yet-to-be-commercially-launched innovations.
期刊介绍:
The Journal of Business Research aims to publish research that is rigorous, relevant, and potentially impactful. It examines a wide variety of business decision contexts, processes, and activities, developing insights that are meaningful for theory, practice, and/or society at large. The research is intended to generate meaningful debates in academia and practice, that are thought provoking and have the potential to make a difference to conceptual thinking and/or practice. The Journal is published for a broad range of stakeholders, including scholars, researchers, executives, and policy makers. It aids the application of its research to practical situations and theoretical findings to the reality of the business world as well as to society. The Journal is abstracted and indexed in several databases, including Social Sciences Citation Index, ANBAR, Current Contents, Management Contents, Management Literature in Brief, PsycINFO, Information Service, RePEc, Academic Journal Guide, ABI/Inform, INSPEC, etc.