Li Ji , Xingyu Chen , Ling Jiang , Justin T. Huang
{"title":"影响者营销中的群体内和跨群体溢出效应:微观和宏观影响者之间的异质性","authors":"Li Ji , Xingyu Chen , Ling Jiang , Justin T. Huang","doi":"10.1016/j.im.2025.104202","DOIUrl":null,"url":null,"abstract":"<div><div>The meteoric growth of social media has driven firms to leverage influencers in their advertising campaigns, with a preference for those possessing a larger follower base. However, existing research has predominantly examined the role of influencer popularity in isolation, neglecting the interdependencies among influencers within a firm’s campaign. In contrast, this study categorizes influencers into two groups—macro- and micro-influencers—based on their popularity, and examines the effect of within- and cross-group spillovers on influencers’ conversion performance. Leveraging data from a real marketing campaign comprising 163 promotional videos of 111 influencers over a 38-month period and utilizing a fixed-effects panel data regression, we found that both within- and cross-group spillovers are significant solely among micro-influencers. Based on these findings, we discuss the theoretical implications for advertising planning and managerial implications for marketing managers seeking to optimize their influencer marketing expenditure.</div></div>","PeriodicalId":56291,"journal":{"name":"Information & Management","volume":"62 7","pages":"Article 104202"},"PeriodicalIF":8.2000,"publicationDate":"2025-06-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Within- and cross-group spillover effects in influencer marketing: The heterogeneity between micro- and macro-influencers\",\"authors\":\"Li Ji , Xingyu Chen , Ling Jiang , Justin T. Huang\",\"doi\":\"10.1016/j.im.2025.104202\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>The meteoric growth of social media has driven firms to leverage influencers in their advertising campaigns, with a preference for those possessing a larger follower base. However, existing research has predominantly examined the role of influencer popularity in isolation, neglecting the interdependencies among influencers within a firm’s campaign. In contrast, this study categorizes influencers into two groups—macro- and micro-influencers—based on their popularity, and examines the effect of within- and cross-group spillovers on influencers’ conversion performance. Leveraging data from a real marketing campaign comprising 163 promotional videos of 111 influencers over a 38-month period and utilizing a fixed-effects panel data regression, we found that both within- and cross-group spillovers are significant solely among micro-influencers. Based on these findings, we discuss the theoretical implications for advertising planning and managerial implications for marketing managers seeking to optimize their influencer marketing expenditure.</div></div>\",\"PeriodicalId\":56291,\"journal\":{\"name\":\"Information & Management\",\"volume\":\"62 7\",\"pages\":\"Article 104202\"},\"PeriodicalIF\":8.2000,\"publicationDate\":\"2025-06-16\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Information & Management\",\"FirstCategoryId\":\"91\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0378720625001053\",\"RegionNum\":2,\"RegionCategory\":\"管理学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"COMPUTER SCIENCE, INFORMATION SYSTEMS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Information & Management","FirstCategoryId":"91","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0378720625001053","RegionNum":2,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"COMPUTER SCIENCE, INFORMATION SYSTEMS","Score":null,"Total":0}
Within- and cross-group spillover effects in influencer marketing: The heterogeneity between micro- and macro-influencers
The meteoric growth of social media has driven firms to leverage influencers in their advertising campaigns, with a preference for those possessing a larger follower base. However, existing research has predominantly examined the role of influencer popularity in isolation, neglecting the interdependencies among influencers within a firm’s campaign. In contrast, this study categorizes influencers into two groups—macro- and micro-influencers—based on their popularity, and examines the effect of within- and cross-group spillovers on influencers’ conversion performance. Leveraging data from a real marketing campaign comprising 163 promotional videos of 111 influencers over a 38-month period and utilizing a fixed-effects panel data regression, we found that both within- and cross-group spillovers are significant solely among micro-influencers. Based on these findings, we discuss the theoretical implications for advertising planning and managerial implications for marketing managers seeking to optimize their influencer marketing expenditure.
期刊介绍:
Information & Management is a publication that caters to researchers in the field of information systems as well as managers, professionals, administrators, and senior executives involved in designing, implementing, and managing Information Systems Applications.