Self-broadcasting or cooperating with streamers? A perspective on live streaming sales of fresh products

IF 5.9 3区 管理学 Q1 BUSINESS
Delong Jin , Deling Lai , Xujin Pu , Guanghua Han
{"title":"Self-broadcasting or cooperating with streamers? A perspective on live streaming sales of fresh products","authors":"Delong Jin ,&nbsp;Deling Lai ,&nbsp;Xujin Pu ,&nbsp;Guanghua Han","doi":"10.1016/j.elerap.2024.101367","DOIUrl":null,"url":null,"abstract":"<div><p>Recently, live streaming sales have played an important role in promoting the fresh product industry. Producers (e.g., smallholders, cooperatives, family farms) can either directly build their own live rooms or use third-party streamers’ live rooms to sell fresh products, thereby forming two common live streaming sales modes. The former is called as self-broadcasting and the latter is called as streamer cooperation. Therefore, we build a theoretical model to investigate the performance of the two live streaming sales modes, and explore the monopolistic producer’s preference on them. We incorporate key characteristics of fresh products and live streaming into our model simultaneously, such as random output, endogenous decision of influence level and the resulting potential market size (i.e., fan base). Several extended cases are also considered to check the impact of other factors on the producer’s mode preference. The results show that when the probability of a good harvest is small (or large), the producer always prefers cooperating with a third-party streamer (or self-broadcasting). Conversely, when the probability of a good harvest is medium, the producer’s preference on the two live streaming sales modes depends on the magnitude of the relative efficiency of influence acquisition. We also find that the influence level in the streamer cooperation mode is not always higher than in the self-broadcasting mode, but the selling price is always higher. Additionally, the conclusions of several extended cases have confirmed the applicability of our main findings.</p></div>","PeriodicalId":50541,"journal":{"name":"Electronic Commerce Research and Applications","volume":"64 ","pages":"Article 101367"},"PeriodicalIF":5.9000,"publicationDate":"2024-02-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Electronic Commerce Research and Applications","FirstCategoryId":"91","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1567422324000127","RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"BUSINESS","Score":null,"Total":0}
引用次数: 0

Abstract

Recently, live streaming sales have played an important role in promoting the fresh product industry. Producers (e.g., smallholders, cooperatives, family farms) can either directly build their own live rooms or use third-party streamers’ live rooms to sell fresh products, thereby forming two common live streaming sales modes. The former is called as self-broadcasting and the latter is called as streamer cooperation. Therefore, we build a theoretical model to investigate the performance of the two live streaming sales modes, and explore the monopolistic producer’s preference on them. We incorporate key characteristics of fresh products and live streaming into our model simultaneously, such as random output, endogenous decision of influence level and the resulting potential market size (i.e., fan base). Several extended cases are also considered to check the impact of other factors on the producer’s mode preference. The results show that when the probability of a good harvest is small (or large), the producer always prefers cooperating with a third-party streamer (or self-broadcasting). Conversely, when the probability of a good harvest is medium, the producer’s preference on the two live streaming sales modes depends on the magnitude of the relative efficiency of influence acquisition. We also find that the influence level in the streamer cooperation mode is not always higher than in the self-broadcasting mode, but the selling price is always higher. Additionally, the conclusions of several extended cases have confirmed the applicability of our main findings.

自播还是与流媒体合作?生鲜产品直播销售透视
最近,直播销售在促进生鲜产品产业方面发挥了重要作用。生产者(如小农户、合作社、家庭农场等)既可以直接自建直播间,也可以利用第三方直播平台的直播间销售生鲜产品,从而形成了两种常见的直播销售模式。前者称为自播,后者称为流媒体合作。因此,我们建立了一个理论模型来研究这两种直播销售模式的表现,并探讨垄断生产者对这两种模式的偏好。我们在模型中同时纳入了生鲜产品和直播的关键特征,如随机产出、影响力水平的内生决定以及由此产生的潜在市场规模(即粉丝群)。我们还考虑了几个扩展案例,以检验其他因素对生产者模式偏好的影响。结果表明,当丰收的概率较小(或较大)时,制作者总是倾向于与第三方流媒体合作(或自播)。相反,当丰收概率中等时,生产者对两种直播销售模式的偏好取决于影响力获取的相对效率大小。我们还发现,流媒体合作模式的影响力水平并不总是高于自播模式,但销售价格却总是更高。此外,几个扩展案例的结论也证实了我们主要结论的适用性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
Electronic Commerce Research and Applications
Electronic Commerce Research and Applications 工程技术-计算机:跨学科应用
CiteScore
10.10
自引率
8.30%
发文量
97
审稿时长
63 days
期刊介绍: Electronic Commerce Research and Applications aims to create and disseminate enduring knowledge for the fast-changing e-commerce environment. A major dilemma in e-commerce research is how to achieve a balance between the currency and the life span of knowledge. Electronic Commerce Research and Applications will contribute to the establishment of a research community to create the knowledge, technology, theory, and applications for the development of electronic commerce. This is targeted at the intersection of technological potential and business aims.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信