Source Credibility and Emotions generated by Robot and Human Influencers: The perception of luxury brand representatives
Patricia Baudier (),
Elodie de Boissieu and
Marie-Hélène Duchemin ()
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Patricia Baudier: Métis Lab EM Normandie - EM Normandie - École de Management de Normandie = EM Normandie Business School
Elodie de Boissieu: Métis Lab EM Normandie - EM Normandie - École de Management de Normandie = EM Normandie Business School
Marie-Hélène Duchemin: UNIROUEN - Université de Rouen Normandie - NU - Normandie Université
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Abstract:
Social Robots are increasingly encroaching into our daily lives by interacting with humans on the Internet. Luxury brands use Social Media Influencers to create brand awareness and enrich their emotional values. As the first study on a trending and largely unexplored topic, this paper aims to better understand the perception of Social Media Human Influencers and Social Media Robot Influencers by luxury brand representatives using the Source Credibility model, including Social-Emotional elements. Our study deepens our understanding of Brand-to-Social Media Influencers' relationships, mobilizing the wheel of emotions to analyze perceived emotions when using Social Robots to promote brand content and values. The study mobilizes a qualitative approach including 13 semi-structured interviews with luxury brand representatives. Our findings add to the Source Credibility model by identifying that Perceived Humanness enriches the brand perception analysis of Social Media Influencers. Our results also highlight the key emotions expressed by luxury brand representatives during their collaboration with both Human and Robot Influencers, favoring the acceptance of RI for luxury brands' future social media communications.
Keywords: Social Robots; Social Media Influencers; Luxury Brands; Emotions; Perceived Humanness; Source Credibility (search for similar items in EconPapers)
Date: 2023-02
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Citations: View citations in EconPapers (10)
Published in Technological Forecasting and Social Change, 2023, 187, pp.122255. ⟨10.1016/j.techfore.2022.122255⟩
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Persistent link: https://EconPapers.repec.org/RePEc:hal:journl:hal-04314434
DOI: 10.1016/j.techfore.2022.122255
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