{"title":"Understanding luxury shaming: a multi-study exploration using qualitative inquiry and generative AI","authors":"Julia Pueschel , Shuyi Hao , Bernd Schmitt","doi":"10.1016/j.jbusres.2026.115996","DOIUrl":null,"url":null,"abstract":"<div><div>This research investigates luxury shaming—the social act of assigning negative judgment or disapproval to individuals who engage in luxury consumption. We explore how consumers shame others, and how shamed consumers experience, feel, and cope with such judgments. Methodologically, we integrate traditional qualitative techniques and innovative Generative Artificial Intelligence (GenAI) analysis. Results reveal that luxury shaming is enacted through distinct shaming categories found in the marketplace—intellectual, economic, socio-cultural, physical/aesthetic, and ethical/moral—and triggers emotional responses ranging from embarrassment to guilt and anxiety. Furthermore, we identify three bipolar coping dimensions—stylistic, social-interactive, and value-related—each encompassing two distinct strategies that consumers use to maintain engagement with luxury consumption. Key contributions include expanding the luxury consumption literature by examining its negative consequences, advancing the understanding of shaming-related emotions in consumer behavior, and, methodologically, demonstrating GenAI’s role in complementing qualitative analysis.</div></div>","PeriodicalId":15123,"journal":{"name":"Journal of Business Research","volume":"206 ","pages":"Article 115996"},"PeriodicalIF":11.1000,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Business Research","FirstCategoryId":"91","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0148296326000305","RegionNum":1,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2026/1/14 0:00:00","PubModel":"Epub","JCR":"Q1","JCRName":"BUSINESS","Score":null,"Total":0}
引用次数: 0
Abstract
This research investigates luxury shaming—the social act of assigning negative judgment or disapproval to individuals who engage in luxury consumption. We explore how consumers shame others, and how shamed consumers experience, feel, and cope with such judgments. Methodologically, we integrate traditional qualitative techniques and innovative Generative Artificial Intelligence (GenAI) analysis. Results reveal that luxury shaming is enacted through distinct shaming categories found in the marketplace—intellectual, economic, socio-cultural, physical/aesthetic, and ethical/moral—and triggers emotional responses ranging from embarrassment to guilt and anxiety. Furthermore, we identify three bipolar coping dimensions—stylistic, social-interactive, and value-related—each encompassing two distinct strategies that consumers use to maintain engagement with luxury consumption. Key contributions include expanding the luxury consumption literature by examining its negative consequences, advancing the understanding of shaming-related emotions in consumer behavior, and, methodologically, demonstrating GenAI’s role in complementing qualitative analysis.
期刊介绍:
The Journal of Business Research aims to publish research that is rigorous, relevant, and potentially impactful. It examines a wide variety of business decision contexts, processes, and activities, developing insights that are meaningful for theory, practice, and/or society at large. The research is intended to generate meaningful debates in academia and practice, that are thought provoking and have the potential to make a difference to conceptual thinking and/or practice. The Journal is published for a broad range of stakeholders, including scholars, researchers, executives, and policy makers. It aids the application of its research to practical situations and theoretical findings to the reality of the business world as well as to society. The Journal is abstracted and indexed in several databases, including Social Sciences Citation Index, ANBAR, Current Contents, Management Contents, Management Literature in Brief, PsycINFO, Information Service, RePEc, Academic Journal Guide, ABI/Inform, INSPEC, etc.