Happiness backfires: emotion and sales in live streaming

People’s shopping habits are changing because of live streaming as a new business context. Based on this context, this study explores the effect of influencer happiness intensity on audience purchasing using the hard archival data from TikTok, the world’s top live-streaming app in terms of downloads...

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Published inElectronic commerce research Vol. 25; no. 4; pp. 2641 - 2672
Main Authors Du, Peiyuan, Huang, Ziyao
Format Journal Article
LanguageEnglish
Published New York Springer US 01.08.2025
Springer Nature B.V
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Online AccessGet full text
ISSN1389-5753
1572-9362
DOI10.1007/s10660-023-09760-y

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Abstract People’s shopping habits are changing because of live streaming as a new business context. Based on this context, this study explores the effect of influencer happiness intensity on audience purchasing using the hard archival data from TikTok, the world’s top live-streaming app in terms of downloads. The influencers’ facial happiness intensity, attractiveness score, and visual attributions of the live streaming room were extracted from the videos using a machine learning method, and the estimation model was built. The findings indicate an inverted U-shape relationship between influencer happiness intensity and audience purchase, with accessories having the highest sales volume and an influence happiness intensity of 0.43. The additional propensity score matching test provides causal evidence for the negative impact of influencers’ happiness intensity on sales volume after exceeding the peak intensity, which is the subject of this paper. Furthermore, we investigate the probable underlying mechanism of the influencer-audience interaction. It demonstrates that the danmaku quantity and quality will have a partial mediation effect in the process of influencer happiness intensity influencing sales volume. These findings aid live-streaming influencers and platforms in optimizing their marketing strategies.
AbstractList People’s shopping habits are changing because of live streaming as a new business context. Based on this context, this study explores the effect of influencer happiness intensity on audience purchasing using the hard archival data from TikTok, the world’s top live-streaming app in terms of downloads. The influencers’ facial happiness intensity, attractiveness score, and visual attributions of the live streaming room were extracted from the videos using a machine learning method, and the estimation model was built. The findings indicate an inverted U-shape relationship between influencer happiness intensity and audience purchase, with accessories having the highest sales volume and an influence happiness intensity of 0.43. The additional propensity score matching test provides causal evidence for the negative impact of influencers’ happiness intensity on sales volume after exceeding the peak intensity, which is the subject of this paper. Furthermore, we investigate the probable underlying mechanism of the influencer-audience interaction. It demonstrates that the danmaku quantity and quality will have a partial mediation effect in the process of influencer happiness intensity influencing sales volume. These findings aid live-streaming influencers and platforms in optimizing their marketing strategies.
Author Huang, Ziyao
Du, Peiyuan
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The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2023.
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Keywords Sales volume
Influencer happiness intensity
Live streaming commerce
Unstructured data
Machine learning
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Snippet People’s shopping habits are changing because of live streaming as a new business context. Based on this context, this study explores the effect of influencer...
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SubjectTerms Audiences
Business and Management
Computer Communication Networks
Consumers
Customer services
Data Structures and Information Theory
e-Commerce/e-business
Emotions
Happiness
Influencer marketing
IT in Business
Machine learning
Operations Research/Decision Theory
Purchasing
Sales
Streaming media
Tax evasion
Title Happiness backfires: emotion and sales in live streaming
URI https://link.springer.com/article/10.1007/s10660-023-09760-y
https://www.proquest.com/docview/3243218916
Volume 25
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