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!

Managing Multirooming: Why Uniform Price Can Be Optimal for a Monopoly Retailer and Can Be Uniformly Lower

对偶(语法数字) 在线和离线 产品(数学) 定价策略 垄断 价格歧视 微观经济学 业务 搜索成本 动态定价 营销 经济 计算机科学 艺术 几何学 文学类 数学 操作系统
作者
Yuxin Chen,Yue Dai,Zhe Zhang,Kun Zhang
出处
期刊:Management Science [Institute for Operations Research and the Management Sciences]
卷期号:70 (5): 3102-3122 被引量:20
标识
DOI:10.1287/mnsc.2023.4849
摘要

Retailers managing both online and offline channels have to decide whether to adopt the uniform (i.e., charging the same price online and offline) or dual (i.e., charging different prices online and offline) pricing strategy. This decision is made even more challenging as consumers are increasingly multirooming as they may search offline and then purchase online (showrooming) or the other way around (webrooming). In this paper, we develop an analytical model to examine such a decision. The model takes into consideration (1) consumers’ uncertainty about digital and nondigital product attributes, (2) consumers’ costs of showrooming as well as webrooming, and (3) the prevalence of costly product return. We show that uniform pricing can be optimal for a monopoly retailer even though consumers have different costs for shopping online versus offline and there is no intrinsic disutility against price discrimination by consumers. In addition, when the uniform price is optimal, it can be lower than both the offline and online prices under optimal dual pricing. This is because, compared with dual pricing, uniform pricing eliminates consumers’ uncertainty about the offline store’s price so that they are more likely to search the nondigital attribute at the offline store and buy the fitted product. Moreover, a relatively higher online price has to be used under dual pricing to encourage consumers to search offline for the purpose of reducing the product return costs. This paper was accepted by Dmitri Kuksov, marketing. Funding: This work was supported by the National Natural Science Foundation of China [Grants 71922008, 71972043, 72025102, and 72091211] and the Sci-Tech Innovation Foundation of School of Management at Fudan University [Grant 20210202]. Supplemental Material: The online appendix is available at https://doi.org/10.1287/mnsc.2023.4849 .
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
更新
PDF的下载单位、IP信息已删除 (2025-6-4)

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
2秒前
曾经如是完成签到,获得积分10
2秒前
jimmy完成签到,获得积分10
2秒前
4秒前
李梦如完成签到,获得积分20
4秒前
6秒前
舒适的一凤完成签到 ,获得积分10
6秒前
Orange应助何何何何何采纳,获得10
7秒前
7秒前
7秒前
希望天下0贩的0应助诺一44采纳,获得10
7秒前
7秒前
9秒前
jimmy发布了新的文献求助10
10秒前
陈梅红完成签到 ,获得积分10
11秒前
momo123完成签到 ,获得积分10
11秒前
12秒前
梨小7完成签到,获得积分10
13秒前
赘婿应助早晚炸了学校采纳,获得10
14秒前
14秒前
15秒前
张张完成签到,获得积分10
16秒前
Adzuki0812发布了新的文献求助30
17秒前
言论完成签到,获得积分10
19秒前
20秒前
21秒前
爱笑小笼包完成签到,获得积分10
21秒前
GaoChenxi完成签到 ,获得积分10
22秒前
李健的小迷弟应助张之静采纳,获得10
23秒前
FashionBoy应助吉他平方采纳,获得10
24秒前
24秒前
25秒前
CrazyLion完成签到,获得积分10
26秒前
科目三应助李梦如采纳,获得10
26秒前
米饭多加水完成签到,获得积分10
26秒前
27秒前
28秒前
nikki完成签到,获得积分10
29秒前
29秒前
小黄黄发布了新的文献求助10
32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
Zeolites: From Fundamentals to Emerging Applications 1500
International Encyclopedia of Business Management 1000
Encyclopedia of Materials: Plastics and Polymers 1000
Architectural Corrosion and Critical Infrastructure 1000
Early Devonian echinoderms from Victoria (Rhombifera, Blastoidea and Ophiocistioidea) 1000
Hidden Generalizations Phonological Opacity in Optimality Theory 1000
热门求助领域 (近24小时)
化学 医学 生物 材料科学 工程类 有机化学 内科学 生物化学 物理 计算机科学 纳米技术 遗传学 基因 复合材料 化学工程 物理化学 病理 催化作用 免疫学 量子力学
热门帖子
关注 科研通微信公众号,转发送积分 4934509
求助须知:如何正确求助?哪些是违规求助? 4202404
关于积分的说明 13057258
捐赠科研通 3976729
什么是DOI,文献DOI怎么找? 2179167
邀请新用户注册赠送积分活动 1195395
关于科研通互助平台的介绍 1106744