已入深夜,您辛苦了!由于当前在线用户较少,发布求助请尽量完整地填写文献信息,科研通机器人24小时在线,伴您度过漫漫科研夜!祝你早点完成任务,早点休息,好梦!

Should Firms Share Information About Expensive Customers? An Equilibrium Analysis

作者
Sameer Mathur,Kannan Srinivasan,Baohong Sun
标识
DOI:10.1184/r1/6707969
摘要

Advances in information technology increasingly allow firms to identify expensive, high-cost customers, who are not only individually less profitable for firms but also raise the average marginal cost incurred by firms and thus impose a negative externality on inexpensive customers. Should competing firms share information that identifies such customers? The answer to this question has important implications for firm profitability, consumer welfare, and privacy laws that currently constrain firms’ ability to share information. Considering consumers to be heterogeneous in terms of the cost they impose on firms, this paper presents an analytical model to examine the conditions in which two differentiated Bertrand competitors prefer to share information. The firms’ incentives to share information differ according to the degree of product differentiation, the relative proportion of expensive customers in the market, the relative marginal cost of selling to expensive customers and the level of noise in the information. When firms sell substitutable products a Prisoner’s Dilemma results. The competing firms unilaterally benefit from sharing information, but the benefits from reneging on an information-sharing agreement are even higher; paradoxically, in equilibrium, both firms therefore keep their information private. A third-party agency such as an industry trade association might serve to supervise and coordinate information-sharing agreements between competing firms. In contrast, when the firms sell complementary products, they always have an incentive to share information. Importantly, this paper establishes that information sharing decreases the welfare of expensive customers but increases that of inexpensive customers. Privacy laws thus protect expensive customers more than inexpensive customers. In certain conditions, the aggregate consumer welfare might increase, when firms share information identifying expensive customers. This research recommends relatively weaker, not stronger, privacy laws, which is counterintuitive to the recommendations of the popular press.

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
1秒前
科研通AI6.4应助马戈采纳,获得10
2秒前
张欢馨应助究究采纳,获得20
3秒前
4秒前
爆米花应助XX采纳,获得10
6秒前
7秒前
上官若男应助PanPanMI采纳,获得10
7秒前
睢先生发布了新的文献求助10
8秒前
乐乐应助含BUFF采纳,获得10
10秒前
小马甲应助NN采纳,获得10
10秒前
高高的易槐完成签到 ,获得积分10
10秒前
晨aaa发布了新的文献求助10
12秒前
Sc完成签到,获得积分10
13秒前
ooo完成签到,获得积分10
13秒前
14秒前
15秒前
漂亮夜安发布了新的文献求助10
19秒前
飞快的乘风完成签到,获得积分10
20秒前
20秒前
玻璃杯完成签到 ,获得积分10
21秒前
wkh发布了新的文献求助10
22秒前
慕青应助晨aaa采纳,获得10
22秒前
彭于晏应助多多采纳,获得30
25秒前
25秒前
songjiatian发布了新的文献求助10
27秒前
28秒前
科研通AI6.4应助123123采纳,获得10
30秒前
马洪雪发布了新的文献求助10
30秒前
CipherSage应助科研通管家采纳,获得10
31秒前
英姑应助科研通管家采纳,获得10
31秒前
31秒前
369ninja应助科研通管家采纳,获得10
32秒前
369ninja应助科研通管家采纳,获得10
32秒前
ShanZhao应助科研通管家采纳,获得10
32秒前
无花果应助科研通管家采纳,获得10
32秒前
桐桐应助科研通管家采纳,获得10
32秒前
OYzzd完成签到,获得积分10
33秒前
爱听歌诗云完成签到,获得积分20
35秒前
科研民工发布了新的文献求助10
35秒前
迷路访云完成签到,获得积分10
35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
An Introduction to Foreign Language Learning and Teaching 750
China Pluperfect I: Epistemology of Past and Outside in Chinese Art 520
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
Governing Growth: Us Industrial Policy from Hamilton to Trump 500
The fast track to determining transfer functions of linear circuits: The student guide 500
The Analytical and Numerical Solution of Electric and Magnetic Fields 500
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 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7625768
求助须知:如何正确求助?哪些是违规求助? 9200727
关于积分的说明 19726852
捐赠科研通 7196702
什么是DOI,文献DOI怎么找? 3273723
关于科研通互助平台的介绍 2435936
邀请新用户注册赠送积分活动 2269663