To share or not to share: the optimal advertising effort with asymmetric advertising effectiveness

联营 程式化事实 信号游戏 私人信息检索 广告 利润(经济学) 信息共享 业务 事前 计算机科学 微观经济学 经济 万维网 宏观经济学 计算机安全 人工智能
作者
Qingying Li,Hao Ding,Tianqin Shi,Yanli Tang
出处
期刊:Annals of Operations Research [Springer Science+Business Media]
卷期号:329 (1-2): 249-276 被引量:11
标识
DOI:10.1007/s10479-020-03711-8
摘要

In this paper, we study a two-stage model in which a manufacturer expands to a new market through a local retailer and has private information on the advertising effectiveness. The manufacturer chooses the information sharing format with the retailer, either no information sharing or mandatory information sharing. Under no information sharing format, the manufacturer and the retailer play a signaling game. We derive both separating and pooling equilibria and conduct equilibrium refinements for the signaling game. Under mandatory information sharing format, the manufacturer simply informs the retailer the advertising effectiveness. We also establish the stylized model and derive the optimal advertising effort. By comparing the manufacturer’s ex ante profit under the two information sharing formats, we find that the manufacturer always prefers mandatory information sharing, under which both the advertising effort and profit can be higher. We also observe that unlike the common case that the channel members may have different preference over the information sharing formats, the manufacturer and the retailer can actually achieve alignment. While some previous studies suggest that the manufacturer and the retailer may have different preference over the information sharing formats, we find that they can actually achieve alignment with asymmetric information on advertising effectiveness.

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
思源应助su执采纳,获得10
5秒前
冰水发布了新的文献求助10
6秒前
6秒前
乐观的斑马完成签到,获得积分10
7秒前
拉普拉斯妖完成签到,获得积分10
8秒前
喜羊羊完成签到,获得积分10
11秒前
12秒前
坚定的代双完成签到 ,获得积分20
12秒前
听风轻语完成签到,获得积分10
13秒前
冰水完成签到,获得积分10
15秒前
18秒前
所所应助蓝天采纳,获得30
18秒前
知性的绫完成签到,获得积分10
18秒前
GG完成签到 ,获得积分10
19秒前
草莓燕麦大酸奶完成签到,获得积分10
20秒前
colammu关注了科研通微信公众号
21秒前
Elytra完成签到,获得积分10
22秒前
上官若男应助huanhuan采纳,获得10
23秒前
羽言完成签到,获得积分10
24秒前
qianyu完成签到,获得积分10
25秒前
25秒前
lkgxwpf发布了新的文献求助10
27秒前
Hexagram完成签到 ,获得积分10
28秒前
科研通AI6.4应助uraylong采纳,获得10
28秒前
xiaoyang111完成签到,获得积分10
28秒前
Nana发布了新的文献求助10
28秒前
昏睡的帆布鞋完成签到 ,获得积分10
29秒前
30秒前
简单山水完成签到,获得积分10
31秒前
霸气的思柔完成签到,获得积分10
33秒前
33秒前
lzd发布了新的文献求助10
34秒前
34秒前
usdeoo发布了新的文献求助10
39秒前
GGGrigor完成签到,获得积分0
39秒前
vv完成签到,获得积分10
39秒前
39秒前
金jin完成签到,获得积分10
41秒前
huanhuan发布了新的文献求助10
44秒前
46秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
PowerCascade: A Synthetic Dataset for Cascading Failure Analysis in Power Systems 2000
Picture this! Including first nations fiction picture books in school library collections 1500
Signals, Systems, and Signal Processing 610
Unlocking Chemical Thinking: Reimagining Chemistry Teaching and Learning 555
Photodetectors: From Ultraviolet to Infrared 500
Cancer Targets: Novel Therapies and Emerging Research Directions (Part 1) 400
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 物理 内科学 复合材料 催化作用 物理化学 光电子学 电极 细胞生物学 基因 无机化学
热门帖子
关注 科研通微信公众号,转发送积分 6359581
求助须知:如何正确求助?哪些是违规求助? 8173554
关于积分的说明 17214712
捐赠科研通 5414579
什么是DOI,文献DOI怎么找? 2865562
邀请新用户注册赠送积分活动 1842883
关于科研通互助平台的介绍 1691105