Yiru Wang, César Zamudio, Hua Meng, Robert D. Jewell
{"title":"Short and sweet: How product quality uncertainty, review length and richness shape review helpfulness","authors":"Yiru Wang, César Zamudio, Hua Meng, Robert D. Jewell","doi":"10.1080/21639159.2023.2255873","DOIUrl":null,"url":null,"abstract":"ABSTRACTBecause online reviews facilitate consumers’ purchase decisions, prior research investigates factors impacting review helpfulness. By integrating Kuhlthau’s information search process model and the heuristic-systematic model, we propose that a situational factor – product quality uncertainty – shapes consumers’ information search processes and suggests which reviews are most helpful. The literature suggests that review length and information richness positively impact review helpfulness. However, their joint effect conditional on product quality uncertainty is unknown. An experiment reveals that consumers are motivated to process individual reviews only when uncertainty is high (i.e. when consumers disagree on product quality). Analysis of over 37,000 online reviews indicates that, under high uncertainty, short reviews with rich information are most helpful. Consistent with the experiment results, neither factor drives helpfulness when uncertainty is low (i.e. when previous consumers exhibit a consensus on product quality). We present managerial implications for stimulating “short and sweet” reviews to increase review helpfulness.KEYWORDS: Online reviewstext miningreview helpfulnessuncertaintyheuristic-systematic information processing Disclosure statementNo potential conflict of interest was reported by the author(s).Supplementary dataSupplemental data for this article can be accessed online at https://doi.org/10.1080/21639159.2023.2255873.","PeriodicalId":45711,"journal":{"name":"Journal of Global Scholars of Marketing Science","volume":"11 14","pages":"0"},"PeriodicalIF":1.9000,"publicationDate":"2023-11-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Global Scholars of Marketing Science","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1080/21639159.2023.2255873","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"BUSINESS","Score":null,"Total":0}
引用次数: 0
Abstract
ABSTRACTBecause online reviews facilitate consumers’ purchase decisions, prior research investigates factors impacting review helpfulness. By integrating Kuhlthau’s information search process model and the heuristic-systematic model, we propose that a situational factor – product quality uncertainty – shapes consumers’ information search processes and suggests which reviews are most helpful. The literature suggests that review length and information richness positively impact review helpfulness. However, their joint effect conditional on product quality uncertainty is unknown. An experiment reveals that consumers are motivated to process individual reviews only when uncertainty is high (i.e. when consumers disagree on product quality). Analysis of over 37,000 online reviews indicates that, under high uncertainty, short reviews with rich information are most helpful. Consistent with the experiment results, neither factor drives helpfulness when uncertainty is low (i.e. when previous consumers exhibit a consensus on product quality). We present managerial implications for stimulating “short and sweet” reviews to increase review helpfulness.KEYWORDS: Online reviewstext miningreview helpfulnessuncertaintyheuristic-systematic information processing Disclosure statementNo potential conflict of interest was reported by the author(s).Supplementary dataSupplemental data for this article can be accessed online at https://doi.org/10.1080/21639159.2023.2255873.