Journal ArticleDOI
Trust me, I'm an influencer! - Causal recipes for customer trust in artificial intelligence influencers in the retail industry
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TLDR
In this article , the authors employed complexity theory to understand the main causal recipes that can lead to high trust in AI influencers and found that a configuration of source attractiveness (i.e., physical attractiveness, homophily), source credibility, authenticity, expertise and congruences act as driver of consumers' trust in an AI influencer.About:
This article is published in Journal of Retailing and Consumer Services.The article was published on 2023-05-01. It has received 8 citations till now. The article focuses on the topics: Influencer marketing.read more
Citations
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Stereotyping human-like virtual influencers in retailing: Does warmth prevail over competence?
TL;DR: In this paper , the authors investigated the associations between the anthropomorphism and stereotypical judgments of the virtual influencer's warmth and competence, as well as the differential and mediating roles of these stereotypes in influencing consumers' willingness to follow the VI's recommendations and purchase intentions.
Journal ArticleDOI
Virtual influencers as an emerging marketing theory: A systematic literature review
TL;DR: In this article , a systematic review of peer-reviewed articles was conducted to identify key themes and dominant concepts of the current state of research on virtual, AI, and computer-generated influencers.
Journal ArticleDOI
Deposit AI as the “invisible hand” to make the resale easier: A moderated mediation model
TL;DR: In this article , the authors examine whether, and how, price setter (AI VS. seller) affects buyers' willingness to pay (WTP) in the case of second-hand trading on P2P platform.
Journal ArticleDOI
Are Virtual Influencers Friends or Foes? Uncovering the Perceived Creepiness and Authenticity of Virtual Influencers in Social Media Marketing in the United States
Proceedings ArticleDOI
Digital Influencer Factory: The Price of Word Authority
TL;DR: The traditional process of sorting and selecting information has changed dramatically under the influence of information technology as mentioned in this paper , and influencers have become the new authorities, which can lead to a blockade of the processes of creative and critical thinking.
References
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Journal ArticleDOI
Common method biases in behavioral research: a critical review of the literature and recommended remedies.
TL;DR: The extent to which method biases influence behavioral research results is examined, potential sources of method biases are identified, the cognitive processes through which method bias influence responses to measures are discussed, the many different procedural and statistical techniques that can be used to control method biases is evaluated, and recommendations for how to select appropriate procedural and Statistical remedies are provided.
Journal ArticleDOI
On the evaluation of structural equation models
Richard P. Bagozzi,Youjae Yi +1 more
TL;DR: In this article, structural equation models with latent variables are defined, critiqued, and illustrated, and an overall program for model evaluation is proposed based upon an interpretation of converging and diverging evidence.
Journal ArticleDOI
Birds of a Feather: Homophily in Social Networks
TL;DR: The homophily principle as mentioned in this paper states that similarity breeds connection, and that people's personal networks are homogeneous with regard to many sociodemographic, behavioral, and intrapersonal characteristics.
Posted Content
Estimating Nonresponse Bias in Mail Surveys
JS Armstrong,Terry Overton +1 more
TL;DR: Valid predictions for the direction of nonresponse bias were obtained from subjective estimates and extrapolations in an analysis of mail survey data from published studies and the use of extrapolation led to substantial improvements over a strategy of not using extrapolation.
Journal ArticleDOI
When to use and how to report the results of PLS-SEM
TL;DR: A comprehensive overview of the considerations and metrics required for partial least squares structural equation modeling (PLS-SEM) analysis and result reporting can be found in this paper, where the authors provide an overview of previously and recently proposed metrics as well as rules of thumb for evaluating the research results based on the application of PLSSEM.