Pricing Limited Capacity Under Consumer Deliberation

审议 不完美的 微观经济学 动态定价 业务 经济 价值(数学) 供求关系 供应链 产业组织 定价策略 质量(理念) 可变定价 稳健性(进化) 营销 价格歧视 双头垄断 产能利用率 投资理论 需求管理 边际价值
作者
Tao Zhang,Quan Zheng
出处
期刊:Production and Operations Management [Wiley]
标识
DOI:10.1177/10591478261427862
摘要

The pricing of limited capacity is a pivotal issue in many business contexts such as event ticket sales and online flash sales. Prior studies overlook consumer deliberation behavior in the presence of supply limits, leading to ineffective pricing decisions. This motivates investigation of consumer deliberation behavior under supply limits, and the capacity-constrained firm’s pricing and operational strategies. We first show that severe supply limits inhibit consumers’ costly deliberation, while moderate supply limits enhance consumer deliberation as the availability enhancement effect of deliberation reaches its highest potency. Accordingly, the firm with intermediate capacity tends to adopt a normal pricing strategy, that is, pricing as in the market of informed consumers. However, when the capacity is relatively low (sufficiently high), the firm can charge a relatively high (low) price to induce (deter) consumer deliberation, that is, transgressive (regressive) pricing; when the capacity is sufficiently low, the firm should adopt a prior value pricing strategy because consumers never deliberate. Second, on the supply side, it is not always necessary to fully utilize the limited capacity in supplying products, and for firms with high capacity, a low-quality strategy may be preferable even if quality improvement is costless. Finally, extensions to imperfect learning and heterogeneous deliberation costs show the robustness of our baseline model and offer new insights. Interestingly, the presence of demand uncertainty may benefit firms. Our study sheds light on the pricing of limited capacity and elucidates several strategic decisions when considering consumer deliberation behavior.
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
小章鱼完成签到 ,获得积分10
2秒前
LMY1470完成签到,获得积分10
5秒前
调皮的烤鸡完成签到,获得积分10
9秒前
简爱完成签到 ,获得积分10
9秒前
月冷完成签到 ,获得积分10
12秒前
张江川完成签到,获得积分10
12秒前
13秒前
HanaTerbush完成签到,获得积分10
13秒前
nieyy完成签到,获得积分10
17秒前
lilylwy完成签到 ,获得积分0
18秒前
GinaLundhild06完成签到,获得积分10
18秒前
奇奇怪怪的大鱼完成签到,获得积分10
18秒前
英吉利25发布了新的文献求助10
19秒前
redmoon完成签到,获得积分10
22秒前
踏实麦片完成签到,获得积分10
22秒前
24秒前
出厂价完成签到,获得积分10
25秒前
Shaohan完成签到,获得积分10
26秒前
yunsui完成签到,获得积分10
27秒前
哈哈哈完成签到,获得积分10
27秒前
Yi完成签到,获得积分10
30秒前
风中可仁完成签到 ,获得积分10
31秒前
背后如之完成签到,获得积分10
31秒前
想毕业的笑笑完成签到,获得积分10
31秒前
往昔不过微澜完成签到,获得积分10
31秒前
王继完成签到,获得积分10
31秒前
dgqyushen完成签到,获得积分10
32秒前
爆米花应助龙猫爱看书采纳,获得10
32秒前
昴星引路完成签到 ,获得积分10
33秒前
hahaha6789y完成签到,获得积分10
34秒前
胡思乱响完成签到,获得积分10
34秒前
愤怒的水绿完成签到,获得积分10
35秒前
oy完成签到,获得积分10
35秒前
舒心的夜完成签到,获得积分10
35秒前
想毕业的猫猫完成签到,获得积分10
35秒前
小小油完成签到,获得积分0
35秒前
Mo完成签到,获得积分10
37秒前
hahaha2完成签到,获得积分10
37秒前
MaxwellZH完成签到,获得积分10
37秒前
Ava应助宝贝888888采纳,获得10
38秒前
高分求助中
Signals, Systems, and Signal Processing 610
Annie Ernaux: De la perte au corps glorieux 600
Petrology and Plate Tectonics,2025 500
Direct and Iterative Linear System Solvers 400
Cardiopulmonary Bypass and Mechanical Support: Principles and Practice, Fifth Edition 400
Circular Polar Constellations Providing Continuous Single or Multiple Coverage Above a Specified Latitude 400
Burger's Medicinal Chemistry and Drug Discovery 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 6758934
求助须知:如何正确求助?哪些是违规求助? 8486103
关于积分的说明 18089041
捐赠科研通 6042414
什么是DOI,文献DOI怎么找? 3009824
邀请新用户注册赠送积分活动 1986656
关于科研通互助平台的介绍 1959732