Within- and cross-group spillover effects in influencer marketing: The heterogeneity between micro- and macro-influencers

IF 8.2 2区 管理学 Q1 COMPUTER SCIENCE, INFORMATION SYSTEMS
Li Ji , Xingyu Chen , Ling Jiang , Justin T. Huang
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引用次数: 0

Abstract

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.
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
社交媒体的飞速发展促使公司在广告活动中利用有影响力的人,他们更喜欢那些拥有更多粉丝基础的人。然而,现有的研究主要是孤立地考察了影响者受欢迎程度的作用,而忽略了公司活动中影响者之间的相互依赖性。相反,本研究根据受欢迎程度将影响者分为宏观和微观影响者两类,并考察了群体内和跨群体溢出对影响者转化绩效的影响。利用来自真实营销活动的数据,包括111位网红在38个月期间的163个宣传视频,并利用固定效应面板数据回归,我们发现群体内和跨群体溢出效应仅在微观网红中显着。基于这些发现,我们讨论了广告规划的理论意义和营销经理寻求优化他们的网红营销支出的管理意义。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Information & Management
Information & Management 工程技术-计算机:信息系统
CiteScore
17.90
自引率
6.10%
发文量
123
审稿时长
1 months
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.
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