{"title":"EXPRESS: Is it as Bad as it Looks? Judgments of Quantitative Scores Depend on their Presentation Format","authors":"C. Lembregts, J. Schepers, Arne De Keyser","doi":"10.1177/00222437231193343","DOIUrl":null,"url":null,"abstract":"Firms like Uber, Amazon, and TripAdvisor have popularized the rating of people, goods, and services. These entities receive scores (e.g., through online reviews) in a variety of presentation formats: incremental (a raw score per episode – e.g., 5–5–2), cumulative (updated average scores – e.g., 5–5–4) or their combination. This paper focuses on prevalent situations in which a score deviates from prior scores and examines how the presentation format of the scores impacts decision makers’ (e.g., consumers or managers) evaluations of the entity scored. Nine experiments document – across a wide variety of settings – that when a generally well-performing (poorly performing) entity suddenly receives a negative (positive) score, overall performance will be perceived as less negative (positive) when shown in a cumulative format compared to an incremental or combined format. This effect appears to be stronger when the deviating episode is more representative (e.g., due to higher recency or internal attribution). The authors also find evidence for their proposed explanation: A cumulative format distorts individuals’ perceptions of the underlying raw score of the deviating episode. These findings imply that presenting scores in alternative formats may affect marketing outcomes (e.g., customer churn, product choice, or user engagement on peer-to-peer platforms).","PeriodicalId":48465,"journal":{"name":"Journal of Marketing Research","volume":" ","pages":""},"PeriodicalIF":5.1000,"publicationDate":"2023-07-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Marketing Research","FirstCategoryId":"91","ListUrlMain":"https://doi.org/10.1177/00222437231193343","RegionNum":1,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"BUSINESS","Score":null,"Total":0}
引用次数: 0
Abstract
Firms like Uber, Amazon, and TripAdvisor have popularized the rating of people, goods, and services. These entities receive scores (e.g., through online reviews) in a variety of presentation formats: incremental (a raw score per episode – e.g., 5–5–2), cumulative (updated average scores – e.g., 5–5–4) or their combination. This paper focuses on prevalent situations in which a score deviates from prior scores and examines how the presentation format of the scores impacts decision makers’ (e.g., consumers or managers) evaluations of the entity scored. Nine experiments document – across a wide variety of settings – that when a generally well-performing (poorly performing) entity suddenly receives a negative (positive) score, overall performance will be perceived as less negative (positive) when shown in a cumulative format compared to an incremental or combined format. This effect appears to be stronger when the deviating episode is more representative (e.g., due to higher recency or internal attribution). The authors also find evidence for their proposed explanation: A cumulative format distorts individuals’ perceptions of the underlying raw score of the deviating episode. These findings imply that presenting scores in alternative formats may affect marketing outcomes (e.g., customer churn, product choice, or user engagement on peer-to-peer platforms).
期刊介绍:
JMR is written for those academics and practitioners of marketing research who need to be in the forefront of the profession and in possession of the industry"s cutting-edge information. JMR publishes articles representing the entire spectrum of research in marketing. The editorial content is peer-reviewed by an expert panel of leading academics. Articles address the concepts, methods, and applications of marketing research that present new techniques for solving marketing problems; contribute to marketing knowledge based on the use of experimental, descriptive, or analytical techniques; and review and comment on the developments and concepts in related fields that have a bearing on the research industry and its practices.