{"title":"Fostering Parasocial Relationships with Virtual Influencers in the Uncanny Valley: Anthropomorphism, Autonomy, and a Multigroup Comparison","authors":"Fanjue Liu , Rang Wang","doi":"10.1016/j.jbusres.2024.115024","DOIUrl":null,"url":null,"abstract":"<div><div>The rise of virtual influencers has significantly transformed the dynamics of influencer-follower relationships. Integrating uncanny valley and parasocial relationship theories, in this study we construct and validate a model to delineate how the anthropomorphism of virtual influencers—characterized by humanness, attractiveness, and eeriness—affects the strength of parasocial relationships. Using survey data from 826 Instagram users, we reveal that this process is mediated by trustworthiness and wishful identification, with autonomy serving as a moderator that interacts with these anthropomorphism characteristics. We also examine variations in relationship development between existing followers and prospective followers, revealing that these two groups utilize distinct criteria to establish parasocial relationships with virtual influencers. Furthermore, we contribute to the ongoing debate on the uncanny valley phenomenon, showing that the relationship between virtual influencers’ anthropomorphism and perceived trustworthiness aligns more closely with a linear model than a curvilinear one. Theoretical and practical implications are discussed.</div></div>","PeriodicalId":15123,"journal":{"name":"Journal of Business Research","volume":"186 ","pages":"Article 115024"},"PeriodicalIF":10.5000,"publicationDate":"2024-10-21","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/S0148296324005289","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
The rise of virtual influencers has significantly transformed the dynamics of influencer-follower relationships. Integrating uncanny valley and parasocial relationship theories, in this study we construct and validate a model to delineate how the anthropomorphism of virtual influencers—characterized by humanness, attractiveness, and eeriness—affects the strength of parasocial relationships. Using survey data from 826 Instagram users, we reveal that this process is mediated by trustworthiness and wishful identification, with autonomy serving as a moderator that interacts with these anthropomorphism characteristics. We also examine variations in relationship development between existing followers and prospective followers, revealing that these two groups utilize distinct criteria to establish parasocial relationships with virtual influencers. Furthermore, we contribute to the ongoing debate on the uncanny valley phenomenon, showing that the relationship between virtual influencers’ anthropomorphism and perceived trustworthiness aligns more closely with a linear model than a curvilinear one. Theoretical and practical implications are discussed.
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.