How Do Fast-Fashion Copycats Affect the Popularity of Premium Brands? Evidence from Social Media

自相残杀 人气 社会化媒体 广告 业务 情感(语言学) 快时尚 估价(财务) 分析 营销 危害 服装 心理学 计算机科学 法学 考古 历史 数据科学 社会心理学 沟通 政治学 财务
作者
Zijun Shi,Xiao Liu,Dokyun Lee,Kannan Srinivasan
出处
期刊:Journal of Marketing Research [SAGE Publishing]
卷期号:60 (6): 1027-1051 被引量:15
标识
DOI:10.1177/00222437231164403
摘要

The erosion of high-end fashion brands by fast-fashion copycats (e.g., Zara, H&M) has stirred controversies and unceasing legal attempts to copyright fashion designs. Despite the purported negative impact of copycats, the effect of fashion copycats on high-end brands remains empirically unclear. Research on this topic has been impeded by the absence of a modeling framework to quantify fashion and by the lack of consumer-level data on fashion choices. The authors collect data on the posting behaviors of consumers on a fashion-specific social media platform and develop a dynamic structural model with deep learning image analytics to characterize consumers’ choices of brands and styles. Results suggest that fast-fashion copycats can both harm high-end brands (a cannibalization effect) and help them (a market expansion effect). The authors also identify both static and dynamic mechanisms that contribute to the market expansion effect: The affordability of mixing copycats with high-end brands boosts the number of high-end items featured in posts by financially constrained consumers (a static mechanism). In addition, good styles from copycats enable users to build their popularity on social media over time, which may increase the users' valuation of high-end brands and reduce the users' future costs via sponsorship opportunities (dynamic mechanisms). The results could inform policy makers about the potential consequences of prohibiting fashion copycats.
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
刚刚
刚刚
刚刚
小园爱吃肉完成签到,获得积分10
1秒前
1秒前
zzr发布了新的文献求助30
2秒前
ghost发布了新的文献求助10
2秒前
FashionBoy应助故意的驳采纳,获得10
2秒前
3秒前
浮游应助彭凯采纳,获得10
3秒前
4秒前
4秒前
4秒前
Criminology34应助动听的灯泡采纳,获得10
4秒前
5秒前
floyd发布了新的文献求助10
5秒前
5秒前
欣喜靖完成签到 ,获得积分10
5秒前
6秒前
昏睡的羊青完成签到 ,获得积分10
6秒前
6秒前
丘比特应助等待的凝芙采纳,获得10
6秒前
炙热的冰萍完成签到,获得积分10
6秒前
7秒前
浮游应助orchid采纳,获得10
7秒前
韩韩发布了新的文献求助10
8秒前
099113发布了新的文献求助10
8秒前
8秒前
稚未发布了新的文献求助10
8秒前
大块吃肉发布了新的文献求助10
9秒前
9秒前
youlan发布了新的文献求助20
9秒前
huangbing123发布了新的文献求助10
9秒前
斯文败类应助Yangon采纳,获得10
10秒前
10秒前
11秒前
浮游应助Rainsky采纳,获得10
11秒前
12秒前
tanwenbin发布了新的文献求助10
12秒前
冬瓜完成签到 ,获得积分10
12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
Pipeline and riser loss of containment 2001 - 2020 (PARLOC 2020) 1000
A Half Century of the Sonogashira Reaction 1000
Artificial Intelligence driven Materials Design 600
The Social Work Ethics Casebook: Cases and Commentary (revised 2nd ed.).. Frederic G. Reamer 600
Phylogenetic study of the order Polydesmida (Myriapoda: Diplopoda) 500
A Manual for the Identification of Plant Seeds and Fruits : Second revised edition 500
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 5183473
求助须知:如何正确求助?哪些是违规求助? 4369781
关于积分的说明 13607386
捐赠科研通 4221555
什么是DOI,文献DOI怎么找? 2315256
邀请新用户注册赠送积分活动 1313969
关于科研通互助平台的介绍 1262801