(Un)conditional collection policies on used products with strategic customers

自相残杀 数据收集 产品(数学) 业务 利润(经济学) 价值(数学) 产业组织 二级市场 营销 经济 微观经济学 计算机科学 财务 数学 统计 机器学习 证券交易所 几何学
作者
Chang Dong,Yong Lei,Qian Liu
出处
期刊:Production and Operations Management [Wiley]
卷期号:32 (1): 82-97 被引量:25
标识
DOI:10.1111/poms.13826
摘要

For generation products characterized by frequent releases of new versions, when a new version is introduced to the market, the current version usually still has a remaining useful life. This creates a challenge for a firm to manage used product collection and upgraded product introductions at the same time, especially with the presence of a secondary market. This paper develops an analytical model to study the design and evaluation of two widely adopted collection policies for used products. Specifically, depending on whether a monetary reward for returning used products is associated with further purchases, we examine both unconditional (buyback) and conditional (trade‐in) collection policies that take place in practice. We find that, in the absence of a secondary market, a conditional collection policy can outperform an unconditional one when the base product is durable and the residual value that the manufacturer can obtain after collection is intermediate. However, when an independent secondary market exists, allowing customers to trade used products with each other, any conditional policy cannot outperform the optimal unconditional policy. In particular, the two policies generate the same profit when the residual value is low; otherwise, the unconditional policy dominates as it effectively mitigates the cannibalization of the upgraded product sales by collecting more used products and reducing the supply to the secondary market. We also discuss the environmental impacts of these two collection policies. Our study helps to understand the impact of strategic customer behavior and the secondary market on the choice of used product collection policies, and provides manufacturers with guidance on the design of the optimal collection policy.
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
刚刚
刚刚
1秒前
科研通AI6.3应助猪小猪采纳,获得30
1秒前
lys发布了新的文献求助10
1秒前
英俊的铭应助keyanqianjin采纳,获得10
1秒前
平常诗桃发布了新的文献求助10
1秒前
传奇3应助DDvicky采纳,获得10
1秒前
jiang完成签到,获得积分10
2秒前
kakafan发布了新的文献求助10
2秒前
无花果应助Tracy采纳,获得10
2秒前
FashionBoy应助小狮子采纳,获得10
2秒前
夹生饭完成签到,获得积分10
3秒前
3秒前
3秒前
小毛竹发布了新的文献求助10
4秒前
紫色水晶之恋应助一二采纳,获得10
4秒前
李健的小迷弟应助qq采纳,获得10
4秒前
4秒前
科目三应助动人的乾采纳,获得10
5秒前
吊炸天完成签到 ,获得积分10
5秒前
阿蕾发布了新的文献求助10
5秒前
5秒前
Sthool完成签到,获得积分10
5秒前
mblck发布了新的文献求助30
6秒前
7秒前
玮玮完成签到,获得积分10
7秒前
Orange应助托托采纳,获得10
7秒前
思源应助bai采纳,获得10
8秒前
yanyan发布了新的文献求助10
8秒前
kakafan完成签到,获得积分10
8秒前
Jane发布了新的文献求助10
9秒前
白依发布了新的文献求助10
9秒前
kapok发布了新的文献求助10
10秒前
11秒前
wyc发布了新的文献求助10
11秒前
李健应助咖啡泡茶采纳,获得10
11秒前
keyanqianjin发布了新的文献求助10
11秒前
专注的安青完成签到 ,获得积分10
12秒前
12秒前
高分求助中
Principles of Economics, 11th Edition 10000
Prescott's Microbiology: 2026 Release ISE 10000
University Physics with Modern Physics, 16th edition 10000
(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
Environmental Leverage in Times of Climate Crisis: Product Standards, Carbon Border Measures and Preferential Trade Agreements 1000
Interactions of Vowel Quality and Prosody in East Slavic 1000
Erwählung und Berufung bei Paulus: Bedeutung, Entwicklung und Funktion einer Vorstellung in ihrem frühjüdischen und griechisch-römischen Kontext 850
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 7193056
求助须知:如何正确求助?哪些是违规求助? 8829339
关于积分的说明 18641501
捐赠科研通 6828947
什么是DOI,文献DOI怎么找? 3175970
关于科研通互助平台的介绍 2328078
邀请新用户注册赠送积分活动 2150448