Strategic Overcapacity in Live-Streaming Platform Selling

直播流媒体 业务 产业组织 商业 广告 营销 计算机科学 计算机网络
作者
Anyan Qi,Suresh Sethi,Liqun Wei,Jianxiong Zhang
出处
期刊:Social Science Research Network [Social Science Electronic Publishing]
被引量:18
标识
DOI:10.2139/ssrn.3668390
摘要

Problem definition: We analyze the contracting problem of a manufacturer who sells a product through an influencer on a live-streaming shopping platform. There are two types of influencers: regular and top. The regular influencer has less bargaining power and charges a per-unit commission. However, with more bargaining power, the top influencer can demand a fixed payment besides a per-unit commission. Contracting with either type of influencer, the manufacturer first decides the production capacity, which limits the sales volume during the live-streaming sales event. Then the influencer decides her commission and sales effort, and finally, the manufacturer sets the retail price. The influencer has an informational advantage about the product demand due to proximity to the customers and accessibility to the sales data of similar products. The manufacturer, without direct access to the demand information, tries to infer it from the commission and effort decisions of the influencer, which results in a signaling game. Methodology/Results: We build a game-theoretic model and show that when contracting with the regular influencer, the manufacturer may strategically install a strictly higher capacity than any demand to be realized to take advantage of the signaling effect at the cost of the system efficiency. By contrast, when contracting with the top influencer, the manufacturer no longer installs the strategic overcapacity, and the system efficiency improves to the detriment of the manufacturer's profit. Despite the efficiency improvement, there is still efficiency loss relative to the symmetric-information benchmark when contracting with the top influencer since she, when observing a low demand, has an incentive to mimic the one watching a high demand in the hope of earning a higher fixed payment. We propose a commission-plus-profit-sharing contract to mitigate the efficiency loss when contracting with either influencer type.Managerial implications: We show that manufacturers should not blindly pursue collaborations with top influencers. We also propose a commission-plus-profit-sharing contract that can help Pareto improve the profits of both the manufacturer and the top or regular influencer over those in the status-quo contracts.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
Crystal完成签到,获得积分10
刚刚
小研不咸发布了新的文献求助10
1秒前
2秒前
2秒前
3秒前
Junlin完成签到,获得积分10
4秒前
zb发布了新的文献求助10
4秒前
爆米花应助虚幻穆采纳,获得10
5秒前
5秒前
5秒前
俊逸的香萱完成签到 ,获得积分10
5秒前
7秒前
慕青应助宠溺Ovo采纳,获得10
7秒前
可爱的函函应助路过采纳,获得10
7秒前
12345发布了新的文献求助10
7秒前
ruanruan完成签到,获得积分20
8秒前
Raymond发布了新的文献求助30
8秒前
阳阳杜发布了新的文献求助10
8秒前
tigerli发布了新的文献求助10
8秒前
单薄傲易发布了新的文献求助10
8秒前
9秒前
龚圣博完成签到,获得积分10
9秒前
TeeteePor发布了新的文献求助10
9秒前
Eatanicecube完成签到,获得积分10
9秒前
韦广阔发布了新的文献求助10
10秒前
zb完成签到,获得积分10
10秒前
11秒前
12秒前
丘比特应助旺仔采纳,获得10
13秒前
程澄发布了新的文献求助10
14秒前
onmyway完成签到,获得积分10
14秒前
酷波er应助也是来学习了采纳,获得10
15秒前
tigerli完成签到,获得积分10
15秒前
胡六条完成签到,获得积分10
16秒前
orange发布了新的文献求助10
16秒前
星辰大海应助清爽灵萱采纳,获得10
16秒前
李大洋发布了新的文献求助10
16秒前
16秒前
瘦瘦听云发布了新的文献求助10
16秒前
17秒前
高分求助中
Modern Epidemiology, Fourth Edition 5000
Kinesiophobia : a new view of chronic pain behavior 5000
Molecular Biology of Cancer: Mechanisms, Targets, and Therapeutics 3000
Digital Twins of Advanced Materials Processing 2000
Propeller Design 2000
Weaponeering, Fourth Edition – Two Volume SET 2000
Handbook of pharmaceutical excipients, Ninth edition 1500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 有机化学 纳米技术 化学工程 生物化学 物理 计算机科学 内科学 复合材料 催化作用 物理化学 光电子学 电极 冶金 细胞生物学 基因
热门帖子
关注 科研通微信公众号,转发送积分 6011101
求助须知:如何正确求助?哪些是违规求助? 7559327
关于积分的说明 16136201
捐赠科研通 5157911
什么是DOI,文献DOI怎么找? 2762565
邀请新用户注册赠送积分活动 1741231
关于科研通互助平台的介绍 1633582