{"title":"EXPRESS: Adoption of New Technology Vaccines","authors":"Laura Zimmermann, J. Somasundaram, Barsha Saha","doi":"10.1177/00222429231220295","DOIUrl":null,"url":null,"abstract":"Extensive research has examined the diffusion of innovations for products that can be trialed, and where the most adverse outcome, if a product fails, is a financial loss. However, less research has explored consumer responses to innovations in highly uncertain contexts characterized by health losses, lack of trialability, and the opportunity to free-ride on other’s adoption. This research focuses on vaccine decision-making as a unique case within such contexts and extends the findings to other domains. Four studies (Ntotal = 1,796, five supplementary studies, Ntotal = 643) test the propositions of a formal model that incorporates uncertainty and other’s choices into the adoption decision. The results show that consumers are surprisingly averse to products that are described as employing a new technology (e.g., mRNA technology) and require an ‘efficacy premium’ to compensate for higher perceived uncertainty. However, considerable heterogeneity exists due to individual differences in technology readiness, trust in government, and risk attitudes. Notably, despite the prominent threat of free-riding, a social proof nudge (communicating increasing population adoption) effectively reduces aversion to new technology. In this context, social proof information does not merely drive conformity or social learning, but instead increases adoption of new technology by alleviating perceived uncertainty.","PeriodicalId":16152,"journal":{"name":"Journal of Marketing","volume":"13 1","pages":""},"PeriodicalIF":11.5000,"publicationDate":"2023-11-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Marketing","FirstCategoryId":"91","ListUrlMain":"https://doi.org/10.1177/00222429231220295","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
Extensive research has examined the diffusion of innovations for products that can be trialed, and where the most adverse outcome, if a product fails, is a financial loss. However, less research has explored consumer responses to innovations in highly uncertain contexts characterized by health losses, lack of trialability, and the opportunity to free-ride on other’s adoption. This research focuses on vaccine decision-making as a unique case within such contexts and extends the findings to other domains. Four studies (Ntotal = 1,796, five supplementary studies, Ntotal = 643) test the propositions of a formal model that incorporates uncertainty and other’s choices into the adoption decision. The results show that consumers are surprisingly averse to products that are described as employing a new technology (e.g., mRNA technology) and require an ‘efficacy premium’ to compensate for higher perceived uncertainty. However, considerable heterogeneity exists due to individual differences in technology readiness, trust in government, and risk attitudes. Notably, despite the prominent threat of free-riding, a social proof nudge (communicating increasing population adoption) effectively reduces aversion to new technology. In this context, social proof information does not merely drive conformity or social learning, but instead increases adoption of new technology by alleviating perceived uncertainty.
期刊介绍:
Founded in 1936,the Journal of Marketing (JM) serves as a premier outlet for substantive research in marketing. JM is dedicated to developing and disseminating knowledge about real-world marketing questions, catering to scholars, educators, managers, policy makers, consumers, and other global societal stakeholders. Over the years,JM has played a crucial role in shaping the content and boundaries of the marketing discipline.