{"title":"Impact of content and emotion congruency on tipping: evidence from live streaming","authors":"Ziyang Huang , Kun Chen , Ting Xu","doi":"10.1016/j.jbusres.2026.116000","DOIUrl":null,"url":null,"abstract":"<div><div>In live streaming, while real-time streamer–viewer interaction is crucial, prior research has often overlooked how their interaction congruency influences tipping behavior. Drawing on interaction adaptation theory, our study investigates how content congruency and emotion congruency between streamers and viewers influence tipping frequency, and further explores how key live-streaming characteristics, i.e., stream type and time slot, moderate these effects. Our empirical analysis is based on a dataset comprising 5,229 three-minute observations and is conducted using the GMM model. We find that both congruency types boost tipping frequency. Emotion congruency has a particularly strong influence in informational streams, while content congruency plays a more prominent role in entertainment streams. Notably, the positive effects of both types of congruencies on tipping frequency are amplified during midday sessions. Our work applies interaction adaptation theory to live streaming, enriching its theoretical framework while offering strategic guidance for content design and interaction optimization.</div></div>","PeriodicalId":15123,"journal":{"name":"Journal of Business Research","volume":"207 ","pages":"Article 116000"},"PeriodicalIF":9.8000,"publicationDate":"2026-04-01","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/S0148296326000342","RegionNum":1,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2026/1/20 0:00:00","PubModel":"Epub","JCR":"Q1","JCRName":"BUSINESS","Score":null,"Total":0}
引用次数: 0
Abstract
In live streaming, while real-time streamer–viewer interaction is crucial, prior research has often overlooked how their interaction congruency influences tipping behavior. Drawing on interaction adaptation theory, our study investigates how content congruency and emotion congruency between streamers and viewers influence tipping frequency, and further explores how key live-streaming characteristics, i.e., stream type and time slot, moderate these effects. Our empirical analysis is based on a dataset comprising 5,229 three-minute observations and is conducted using the GMM model. We find that both congruency types boost tipping frequency. Emotion congruency has a particularly strong influence in informational streams, while content congruency plays a more prominent role in entertainment streams. Notably, the positive effects of both types of congruencies on tipping frequency are amplified during midday sessions. Our work applies interaction adaptation theory to live streaming, enriching its theoretical framework while offering strategic guidance for content design and interaction optimization.
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.