亲爱的研友该休息了!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!身体可是革命的本钱,早点休息,好梦!

Returns Policy and Anticipated Regret

后悔 盈利能力指数 利润(经济学) 经济 微观经济学 程式化事实 业务 计算机科学 财务 机器学习 宏观经济学
作者
Lin Liu,Ramarao Desiraju,Gan Zou
出处
期刊:Journal of Economics and Management Strategy [Wiley]
标识
DOI:10.1111/jems.12620
摘要

ABSTRACT Restrictions on returning an undesirable purchase may make consumers feel regret, and they may account for such a potential postpurchase regret when selecting products. This paper incorporates regret‐averse consumers into a model of returns policy and compares two policies—a returns policy (which allows consumers to return undesirable purchases) and a no‐returns policy (which restricts consumer returns). We explore a canonical shopping setting where the no‐returns policy makes mismatched products unreturnable and triggers postpurchase consumer regret, whereas the alternative policy avoids such regret. Intuitively, one would expect businesses to not use the no‐returns policy when consumers can anticipate regret. Our stylized analytical model, however, shows that the no‐returns policy is not optimal unless it induces regret. In addition, contrary to conventional wisdom on competition in a vertically differentiated market, our results show that the no‐returns policy may be related to conceding a high‐quality advantage—that is, where a higher‐quality firm would charge a higher price, earning a higher profit. Essentially, to raise profit, the no‐returns policy serves as an instrument (through anticipated regret) by deliberately repositioning consumers' perceived quality to a lower level. Our results also show that consumers' regret intensity has an inverted‐U‐shaped relationship with profitability. In addition, we have examined the cases of firms and consumers incurring costs when dealing with returns, repurchasing after returning, and a strategic platform which decides the returns policy; and these analyses help highlight the robustness of our basic model. Echoing the long‐noted sentiment from industry experts and academics that, after products are introduced in the market, changing consumers' perceptions of those attributes is admittedly easier than altering actual product characteristics, our analysis suggests an approach to alter perceptions via the choice of a returns 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
隐形曼青应助午凌二采纳,获得10
13秒前
21秒前
搜集达人应助午凌二采纳,获得30
26秒前
NexusExplorer应助午凌二采纳,获得10
33秒前
kRAY发布了新的文献求助10
39秒前
48秒前
51秒前
hosanna完成签到 ,获得积分10
51秒前
科研通AI2S应助雨肖采纳,获得10
52秒前
54秒前
午凌二发布了新的文献求助10
55秒前
56秒前
XHMM发布了新的文献求助10
1分钟前
1分钟前
Yoeyvol发布了新的文献求助10
1分钟前
1分钟前
马到成功完成签到,获得积分20
1分钟前
xsdpku发布了新的文献求助10
1分钟前
1分钟前
Yoeyvol完成签到,获得积分20
1分钟前
1分钟前
Jodie发布了新的文献求助10
1分钟前
1分钟前
小马甲应助nini采纳,获得10
1分钟前
2分钟前
2分钟前
2分钟前
雨肖发布了新的文献求助10
2分钟前
曾经小伙完成签到 ,获得积分10
2分钟前
午凌二发布了新的文献求助30
2分钟前
kRAY发布了新的文献求助30
2分钟前
2分钟前
Zahra完成签到,获得积分10
2分钟前
Akim应助sssmm采纳,获得10
2分钟前
2分钟前
彭于晏应助科研通管家采纳,获得10
2分钟前
LiuZfosu应助科研通管家采纳,获得20
2分钟前
2分钟前
2分钟前
xsdpku发布了新的文献求助10
2分钟前
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
Developing Genetic Editing Tools for Lysobacter 2000
卤化钙钛矿人工突触的研究 2000
Моделирование процессов самоорганизации в кристаллообразующих системах 1000
History of U.S. Space Surveillance and Satellite Cataloging 1000
Malcolm Fraser : a biography 700
Handbook of Optical Systems,Volume 6:Advanced Physical Optics 666
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 6515419
求助须知:如何正确求助?哪些是违规求助? 8308573
关于积分的说明 17756887
捐赠科研通 5617357
什么是DOI,文献DOI怎么找? 2924966
邀请新用户注册赠送积分活动 1902010
关于科研通互助平台的介绍 1763317