Matches in SemOpenAlex for { <https://semopenalex.org/work/W4313398769> ?p ?o ?g. }
- W4313398769 endingPage "103242" @default.
- W4313398769 startingPage "103242" @default.
- W4313398769 abstract "Prior examinations of relationship development and the leverage of trust among artificial intelligence (AI) influencers and followers have been few. This study employed complexity theory to understand the main causal recipes that can lead to high trust in AI influencers. Asymmetrical fuzzy set qualitative comparative analysis (fsQCA) was used to explore the recipes that can drive high customer trust. Data were collected from 683 consumers who are familiar with AI influencers in Saudi Arabia. Our findings indicated that no single factor is sufficient to drive trust in influencers, but five causal recipes were explored for their power to secure high levels of trust in AI influencers. The findings revealed that a configuration of source attractiveness (i.e., physical attractiveness, homophily), source credibility (i.e., authenticity, expertise) and congruences (i.e., influencer, product, consumer) act as driver of consumers' trust in an AI influencer. These results are useful for practitioners since they provide new methods for boosting trust in AI influencers." @default.
- W4313398769 created "2023-01-06" @default.
- W4313398769 creator A5086605586 @default.
- W4313398769 date "2023-05-01" @default.
- W4313398769 modified "2023-10-10" @default.
- W4313398769 title "Trust me, I'm an influencer! - Causal recipes for customer trust in artificial intelligence influencers in the retail industry" @default.
- W4313398769 cites W1818142121 @default.
- W4313398769 cites W1966886937 @default.
- W4313398769 cites W1968094433 @default.
- W4313398769 cites W2000525615 @default.
- W4313398769 cites W2014169941 @default.
- W4313398769 cites W2052164826 @default.
- W4313398769 cites W2053081145 @default.
- W4313398769 cites W2058280607 @default.
- W4313398769 cites W2060759402 @default.
- W4313398769 cites W2084399600 @default.
- W4313398769 cites W2090892634 @default.
- W4313398769 cites W2098386901 @default.
- W4313398769 cites W2106096361 @default.
- W4313398769 cites W2116846296 @default.
- W4313398769 cites W2130354913 @default.
- W4313398769 cites W2134884007 @default.
- W4313398769 cites W2139951843 @default.
- W4313398769 cites W2159775411 @default.
- W4313398769 cites W2166862286 @default.
- W4313398769 cites W2171099065 @default.
- W4313398769 cites W2337340545 @default.
- W4313398769 cites W2337520390 @default.
- W4313398769 cites W2513577383 @default.
- W4313398769 cites W2581409657 @default.
- W4313398769 cites W2736051199 @default.
- W4313398769 cites W2802312600 @default.
- W4313398769 cites W2883098649 @default.
- W4313398769 cites W2886357456 @default.
- W4313398769 cites W2899351518 @default.
- W4313398769 cites W2905811773 @default.
- W4313398769 cites W2911095486 @default.
- W4313398769 cites W2913916101 @default.
- W4313398769 cites W2945905928 @default.
- W4313398769 cites W2954982670 @default.
- W4313398769 cites W2971171488 @default.
- W4313398769 cites W2971238883 @default.
- W4313398769 cites W2982809639 @default.
- W4313398769 cites W2989544504 @default.
- W4313398769 cites W2990650441 @default.
- W4313398769 cites W2991543458 @default.
- W4313398769 cites W2995303897 @default.
- W4313398769 cites W2996350641 @default.
- W4313398769 cites W2996510075 @default.
- W4313398769 cites W2996863103 @default.
- W4313398769 cites W3003753339 @default.
- W4313398769 cites W3006465010 @default.
- W4313398769 cites W3013484075 @default.
- W4313398769 cites W3016896187 @default.
- W4313398769 cites W3018040682 @default.
- W4313398769 cites W3085187109 @default.
- W4313398769 cites W3086539547 @default.
- W4313398769 cites W3087517921 @default.
- W4313398769 cites W3100231357 @default.
- W4313398769 cites W3123158399 @default.
- W4313398769 cites W3128966107 @default.
- W4313398769 cites W3139175024 @default.
- W4313398769 cites W3155815840 @default.
- W4313398769 cites W3159400715 @default.
- W4313398769 cites W3161207870 @default.
- W4313398769 cites W3164983218 @default.
- W4313398769 cites W3166801065 @default.
- W4313398769 cites W3170929491 @default.
- W4313398769 cites W3183300962 @default.
- W4313398769 cites W3198471750 @default.
- W4313398769 cites W3199747482 @default.
- W4313398769 cites W3206562642 @default.
- W4313398769 cites W3211479461 @default.
- W4313398769 cites W3212618492 @default.
- W4313398769 cites W3216592468 @default.
- W4313398769 cites W4200161801 @default.
- W4313398769 cites W4205302985 @default.
- W4313398769 cites W4205764945 @default.
- W4313398769 cites W4210472206 @default.
- W4313398769 cites W4212943824 @default.
- W4313398769 cites W4225328390 @default.
- W4313398769 cites W4232022686 @default.
- W4313398769 cites W4243667233 @default.
- W4313398769 cites W4290144812 @default.
- W4313398769 cites W4293213484 @default.
- W4313398769 cites W4296234664 @default.
- W4313398769 cites W4308154031 @default.
- W4313398769 doi "https://doi.org/10.1016/j.jretconser.2022.103242" @default.
- W4313398769 hasPublicationYear "2023" @default.
- W4313398769 type Work @default.
- W4313398769 citedByCount "12" @default.
- W4313398769 countsByYear W43133987692023 @default.
- W4313398769 crossrefType "journal-article" @default.
- W4313398769 hasAuthorship W4313398769A5086605586 @default.
- W4313398769 hasConcept C11171543 @default.
- W4313398769 hasConcept C112698675 @default.
- W4313398769 hasConcept C144133560 @default.
- W4313398769 hasConcept C153083717 @default.