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image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
SSRN Electronic Journal
Article . 2023 . Peer-reviewed
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Channel Choice in Live Streaming Commerce

Authors: Yina Li; Yu Ning; Weiguo Fan; Ajay Kumar; Fei Ye;

Channel Choice in Live Streaming Commerce

Abstract

Live streaming has significantly transformed the landscape of both offline and online retail operations. This article explores the optimal timing and circumstances under which a firm with a specific product should launch a live streaming channel, and if so, whether it should use third-party streaming, self-run streaming, or a combination of both. We demonstrate that no single channel structure is universally superior to the others: the firm's optimal channel strategy depends on the third-party streamer's popularity and bargaining power, the investment and broadcasting effort cost for the live streaming channel, consumer's channel preference and extra cost for watching live streaming, cross-channel spillover, as well as the price sensitivity of a product. In general, live streaming is most beneficial for firms selling products that aren't highly price sensitive, where traditional pricing tool is less important for attracting consumers. Start-ups should collaborate with either highly popular streamers or those with a small but dedicated following, avoiding those with intermediate popularity. In contrast, established firms should partner with streamers who have a moderate level of popularity. An established firm considering leveraging two or more channels concurrently should additionally take into consideration the cross-channel spillover, channel encroachment cost, and channel competition. Our research reveals that, contrary to expectation, price in live streaming channels may not always be lower than those in traditional channels. Furthermore, highly popular streamers do not always demand higher revenue-sharing ratios and slotting fees. This research sheds light on the key decisions for firms considering live streaming commerce: whether to adopt it, when to integrate it into their strategy, and how to effectively implement it.

Related Organizations
Keywords

Live Streaming, Channel Choice, Cross-Channel Spillover, Self-Run Live Streaming, Third-Party Live Streaming, [SHS.ECO] Humanities and Social Sciences/Economics and Finance, [SHS.GESTION] Humanities and Social Sciences/Business administration

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    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    60
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 1%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Top 10%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 1%
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
60
Top 1%
Top 10%
Top 1%
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