Machines vs. humans: The evolving role of artificial intelligence in livestreaming e-commerce

As the capability of artificial intelligence (AI) improves, online retailers are exploring AI-based agents to communicate with viewers in live streaming, which is referred to as AI stremer. However, it is unclear where, what, and when the implementation of AI stremer is more effective than human beings in live-streaming e-commerce. To explore the dynamic interrelationships and temporal evolution between AI and human streamers and viewer engagement, this study examined the evolving role of AI streamers in live-streaming e-commerce. We utilised the linear mixed model (LMM) and the time-varying effect model (TVEM) to examine whether AI and human streamers differ in both monetary and non-monetary engagement activities. Additionally, we investigated how these differences change over time and whether such changes are consistent across different consumption contexts. The dataset consists of 924,036 products from 21,190 live streaming shows in 123 live broadcasting rooms over a period of four months was used in this study. The results suggest that AI streamers can substitute for humans in monetary activities in the context of utilitarian consumption but not in hedonic consumption. However, the substitute effect of AI may gradually diminish over time. In addition, in a hedonic context, AI exhibits an increasing effect on viewer engagement over time.

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Publication Details

Journal
Journal of Business Research
Published
2024-11-25
DOI
https://doi.org/10.1016/j.jbusres.2024.115077
Citations
18
Primary Topic
AI in Service Interactions
Type
article
Field-Weighted Citation Impact
6.25

Funders

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article

Machines vs. humans: The evolving role of artificial intelligence in livestreaming e-commerce

Haixia Yuan, Wenting Fang, Kevin Lü
18 citations
Journal of Business Research
AI in Service Interactions
6.25
article

Machines vs. humans: The evolving role of artificial intelligence in livestreaming e-commerce

Haixia Yuan, Wenting Fang, Kevin Lü
article en
18 citations

Abstract

As the capability of artificial intelligence (AI) improves, online retailers are exploring AI-based agents to communicate with viewers in live streaming, which is referred to as AI stremer. However, it is unclear where, what, and when the implementation of AI stremer is more effective than human beings in live-streaming e-commerce. To explore the dynamic interrelationships and temporal evolution between AI and human streamers and viewer engagement, this study examined the evolving role of AI streamers in live-streaming e-commerce. We utilised the linear mixed model (LMM) and the time-varying effect model (TVEM) to examine whether AI and human streamers differ in both monetary and non-monetary engagement activities. Additionally, we investigated how these differences change over time and whether such changes are consistent across different consumption contexts. The dataset consists of 924,036 products from 21,190 live streaming shows in 123 live broadcasting rooms over a period of four months was used in this study. The results suggest that AI streamers can substitute for humans in monetary activities in the context of utilitarian consumption but not in hedonic consumption. However, the substitute effect of AI may gradually diminish over time. In addition, in a hedonic context, AI exhibits an increasing effect on viewer engagement over time.

Journal of Business ResearchVol. 188
Anhui University (CN), Brunel University of London (GB)
National Natural Science Foundation of China, Natural Science Foundation of Anhui Province
Openalex Percentile: Top 3%
AI in Service Interactions
6.25
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