{"title":"C2C互动的力量:顾客对在线评论的反应对后续评级的影响","authors":"Lu Wang , Min Zhang , Yiwei Li","doi":"10.1016/j.elerap.2025.101503","DOIUrl":null,"url":null,"abstract":"<div><div>In order to improve the information exchange between customers, the social development of online review systems enables customers to interact with focal customers by responding to initial reviews. Our purpose is to investigate the effect of customer responses (CRs) on subsequent customer rating behavior. Based on cue utilization theory, we hypothesize that CRs minimize fit uncertainty, resulting in better customer and product fits, and eventually high ratings. We examine whether and how CRs affect subsequent ratings through cross-platform difference-in-differences and within-platform identification strategies. The results show that CRs have significant positive effects on subsequent ratings. The features of CR, including CR content, CR sentiment, and CR timeliness have an impact on the subsequent review rating. Additionally, rating variance positively moderates CRs’ effect. This study contributes to the customer-to-customer interactions literature and provides practical guidance for customers, platforms, and businesses to manage and leverage online reviews.</div></div>","PeriodicalId":50541,"journal":{"name":"Electronic Commerce Research and Applications","volume":"71 ","pages":"Article 101503"},"PeriodicalIF":5.9000,"publicationDate":"2025-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"The power of C2C interactions: Effect of customer responses to online reviews on subsequent ratings\",\"authors\":\"Lu Wang , Min Zhang , Yiwei Li\",\"doi\":\"10.1016/j.elerap.2025.101503\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>In order to improve the information exchange between customers, the social development of online review systems enables customers to interact with focal customers by responding to initial reviews. Our purpose is to investigate the effect of customer responses (CRs) on subsequent customer rating behavior. Based on cue utilization theory, we hypothesize that CRs minimize fit uncertainty, resulting in better customer and product fits, and eventually high ratings. We examine whether and how CRs affect subsequent ratings through cross-platform difference-in-differences and within-platform identification strategies. The results show that CRs have significant positive effects on subsequent ratings. The features of CR, including CR content, CR sentiment, and CR timeliness have an impact on the subsequent review rating. Additionally, rating variance positively moderates CRs’ effect. This study contributes to the customer-to-customer interactions literature and provides practical guidance for customers, platforms, and businesses to manage and leverage online reviews.</div></div>\",\"PeriodicalId\":50541,\"journal\":{\"name\":\"Electronic Commerce Research and Applications\",\"volume\":\"71 \",\"pages\":\"Article 101503\"},\"PeriodicalIF\":5.9000,\"publicationDate\":\"2025-05-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Electronic Commerce Research and Applications\",\"FirstCategoryId\":\"91\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S1567422325000286\",\"RegionNum\":3,\"RegionCategory\":\"管理学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"BUSINESS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Electronic Commerce Research and Applications","FirstCategoryId":"91","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1567422325000286","RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"BUSINESS","Score":null,"Total":0}
The power of C2C interactions: Effect of customer responses to online reviews on subsequent ratings
In order to improve the information exchange between customers, the social development of online review systems enables customers to interact with focal customers by responding to initial reviews. Our purpose is to investigate the effect of customer responses (CRs) on subsequent customer rating behavior. Based on cue utilization theory, we hypothesize that CRs minimize fit uncertainty, resulting in better customer and product fits, and eventually high ratings. We examine whether and how CRs affect subsequent ratings through cross-platform difference-in-differences and within-platform identification strategies. The results show that CRs have significant positive effects on subsequent ratings. The features of CR, including CR content, CR sentiment, and CR timeliness have an impact on the subsequent review rating. Additionally, rating variance positively moderates CRs’ effect. This study contributes to the customer-to-customer interactions literature and provides practical guidance for customers, platforms, and businesses to manage and leverage online reviews.
期刊介绍:
Electronic Commerce Research and Applications aims to create and disseminate enduring knowledge for the fast-changing e-commerce environment. A major dilemma in e-commerce research is how to achieve a balance between the currency and the life span of knowledge.
Electronic Commerce Research and Applications will contribute to the establishment of a research community to create the knowledge, technology, theory, and applications for the development of electronic commerce. This is targeted at the intersection of technological potential and business aims.