Investigating the effect of customer-generated content on performance in online platform-based experience goods market

采购 出租 经济租金 业务 营销 消费(社会学) 多元化(营销策略) 广告 产业组织 微观经济学 经济 工程类 社会科学 土木工程 社会学
作者
Da Yeon Kim,Sang Yong Kim
出处
期刊:Journal of Retailing and Consumer Services [Elsevier]
卷期号:74: 103409-103409 被引量:11
标识
DOI:10.1016/j.jretconser.2023.103409
摘要

As COVID-19 persists, a new normal has emerged in our lives and consumption patterns. The rapid rise in demand for online consumption without physical contact is a prime example of this shift. Online platform-based markets have evolved into retail channels, allowing consumers to purchase both search goods and experience goods without contact. The platform provides an environment where customers can encounter a diverse range of customer-generated content (CGC) and gain insights into the purchasing experiences of others. However, despite the growing trading volume and diversification of products traded, relatively few studies exist on purchasing tangible experience goods in the online platform-based market. Therefore, this study investigates the impact of CGC (i.e., content and valence) on the market performance of experience goods, such as sales and sales rank in the platform-based market. We first examine the customer experience-related content in CGC in this market and then investigate the effect of CGC on market performance, such as sales and search ranks. We use crawled data from a platform that sells and rents artwork for empirical analysis. LDA topic modeling findings reveal that CGC has three primary topics (i.e., basic, artist, and style). The regression analysis results show that only style-related content improves performance, whereas basic-related content negatively affects search ranks. The valence of CGC does not significantly impact either performance measure. Additionally, we consider the role of rental services in this market and find that rental volume and search rank have an inverted U-shaped relationship. This study has important implications because it proposes a research framework and empirical model for examining the impact of CGC on performance in the online platform-based market for experience goods. It also has important managerial implications for platforms and sellers looking to enhance their market performance by monitoring CGC.
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
开放沛柔发布了新的文献求助10
1秒前
1秒前
1秒前
哈哈发布了新的文献求助10
1秒前
zhouxun完成签到,获得积分10
1秒前
林鹏达发布了新的文献求助20
2秒前
Ning发布了新的文献求助30
2秒前
2秒前
阔达金鱼发布了新的文献求助10
2秒前
2秒前
曾经阁发布了新的文献求助10
2秒前
科研通AI2S应助欧阳采纳,获得10
3秒前
代杰居然完成签到 ,获得积分10
4秒前
尤尢应助dhan采纳,获得10
4秒前
丘比特应助zhouxun采纳,获得10
4秒前
mudiboyang发布了新的文献求助10
4秒前
KYRIELIU发布了新的文献求助10
4秒前
谭刚发布了新的文献求助20
6秒前
一兜兜糖完成签到,获得积分10
6秒前
FashionBoy应助Ning采纳,获得10
6秒前
wang发布了新的文献求助10
7秒前
科研通AI5应助奔流的河采纳,获得10
7秒前
Alive发布了新的文献求助10
7秒前
8秒前
B2S3Cl3完成签到,获得积分10
9秒前
花怜完成签到 ,获得积分10
10秒前
阔达金鱼完成签到,获得积分10
10秒前
小蘑菇应助曾经阁采纳,获得10
10秒前
11秒前
11秒前
NexusExplorer应助Haliwily采纳,获得10
13秒前
shi hui应助科研通管家采纳,获得10
14秒前
shi hui应助科研通管家采纳,获得10
14秒前
Yifan2024应助科研通管家采纳,获得10
14秒前
SciGPT应助科研通管家采纳,获得10
14秒前
yjw完成签到,获得积分10
14秒前
shi hui应助科研通管家采纳,获得10
14秒前
NexusExplorer应助科研通管家采纳,获得10
14秒前
14秒前
高分求助中
Continuum Thermodynamics and Material Modelling 3000
Production Logging: Theoretical and Interpretive Elements 2700
Kelsen’s Legacy: Legal Normativity, International Law and Democracy 1000
Conference Record, IAS Annual Meeting 1977 610
The Laschia-complex (Basidiomycetes) 600
Interest Rate Modeling. Volume 3: Products and Risk Management 600
Interest Rate Modeling. Volume 2: Term Structure Models 600
热门求助领域 (近24小时)
化学 材料科学 生物 医学 工程类 有机化学 生物化学 物理 纳米技术 计算机科学 内科学 化学工程 复合材料 基因 遗传学 物理化学 催化作用 量子力学 光电子学 冶金
热门帖子
关注 科研通微信公众号,转发送积分 3540927
求助须知:如何正确求助?哪些是违规求助? 3118176
关于积分的说明 9334158
捐赠科研通 2816036
什么是DOI,文献DOI怎么找? 1548081
邀请新用户注册赠送积分活动 721291
科研通“疑难数据库(出版商)”最低求助积分说明 712643