Navigating Live Streaming: Retailers’ Strategies in Online–Offline Competition

Live-streaming shopping is reshaping retail markets, especially due to the challenge of high product returns. This article investigates two key decisions for a live-streaming retailer: whether to conduct self-streaming or employ a third-party streamer, and whether to offer return-freight insurance (RI) to consumers. We also explore how an offline retailer adjusts its pricing and in-store assistance in response to the online counterpart's actions. First, the live-streaming retailer benefits from offering RI only when the RI premium is low. If return-freight compensations are at a high level, the retailer is more likely to offer RI as return-freight compensations increase, probability of online product fit decreases, or probability of consumers' impulse-buying increases. The three factors have the opposite effect if return-freight compensations are at a low level. Second, in most cases, the live-streaming retailer tends to employ a third-party streamer when the fan effect is high and the fixed fee is low. Otherwise, conducting self-streaming is preferred. Interestingly, offering RI can serve as an alternative to employing a third-party streamer when the RI premium is low—even when the third-party streamer has a strong fan effect and cost-effectiveness. Third, the offline retailer reduces the selling price and in-store assistance level when the live-streaming retailer offers RI at a low RI premium. When the live-streaming retailer employs a third-party streamer with weak fan effects, the offline retailer responds by raising the selling price and improving in-store assistance, compared to when the retailer conducts self-streaming.

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Publication Details

Journal
IEEE Transactions on Engineering Management
Published
2025-01-01
DOI
https://doi.org/10.1109/tem.2025.3586180
Citations
3
Primary Topic
Consumer Retail Behavior Studies
Type
article
Field-Weighted Citation Impact
6.22

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article

Navigating Live Streaming: Retailers’ Strategies in Online–Offline Competition

Stuart X. Zhu, Jianghua Zhang, Zhongwei Chen, Zhi‐Ping Fan
3 citations
IEEE Transactions on Engineering Management
Consumer Retail Behavior Studies
6.22
article

Navigating Live Streaming: Retailers’ Strategies in Online–Offline Competition

Stuart X. Zhu, Jianghua Zhang, Zhongwei Chen, Zhi‐Ping Fan
article en
3 citations

Abstract

Live-streaming shopping is reshaping retail markets, especially due to the challenge of high product returns. This article investigates two key decisions for a live-streaming retailer: whether to conduct self-streaming or employ a third-party streamer, and whether to offer return-freight insurance (RI) to consumers. We also explore how an offline retailer adjusts its pricing and in-store assistance in response to the online counterpart's actions. First, the live-streaming retailer benefits from offering RI only when the RI premium is low. If return-freight compensations are at a high level, the retailer is more likely to offer RI as return-freight compensations increase, probability of online product fit decreases, or probability of consumers' impulse-buying increases. The three factors have the opposite effect if return-freight compensations are at a low level. Second, in most cases, the live-streaming retailer tends to employ a third-party streamer when the fan effect is high and the fixed fee is low. Otherwise, conducting self-streaming is preferred. Interestingly, offering RI can serve as an alternative to employing a third-party streamer when the RI premium is low—even when the third-party streamer has a strong fan effect and cost-effectiveness. Third, the offline retailer reduces the selling price and in-store assistance level when the live-streaming retailer offers RI at a low RI premium. When the live-streaming retailer employs a third-party streamer with weak fan effects, the offline retailer responds by raising the selling price and improving in-store assistance, compared to when the retailer conducts self-streaming.

IEEE Transactions on Engineering ManagementVol. 72
Shandong University (CN), University of Groningen (NL), Shandong Management University (CN), Northeastern University (CN)
National Natural Science Foundation of China, China Postdoctoral Science Foundation, Higher Education Discipline Innovation Project
Openalex Percentile: Top 4%
Consumer Retail Behavior Studies
6.22
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