品牌管理
品牌知名度
业务
广告
企业品牌
背景(考古学)
独创性
品牌资产
营销
品牌延伸
鉴定(生物学)
品牌社群
身份(音乐)
心理学
社会心理学
物理
声学
古生物学
植物
创造力
生物
作者
Junyun Liao,Jiawen Chen,Yanghong Hu,Raffaele Filieri,Feng Xiaoliang,Wei Wang
出处
期刊:Internet Research
[Emerald (MCB UP)]
日期:2024-09-09
标识
DOI:10.1108/intr-05-2023-0352
摘要
Purpose Users frequently target rival brands through direct criticism or indirect customer insults, yet the impact of such attacks on brand advocacy remains unexplored. The purpose of this study is to classify online attacks into brand-targeted attacks and consumer-targeted attacks and further investigate their differential impacts on brand advocacy and the underlying mechanism and a boundary condition of those impacts. Design/methodology/approach Three experimental studies using different types of brands (electronics, universities and sports footwear) are conducted to examine the effects of brand-related attack targets on brand advocacy. Findings This research shows that consumer-targeted attacks trigger higher brand advocacy through increasing perceived identity threat than brand-targeted attacks. Moreover, the effect of consumer-targeted attacks (versus brand-targeted attacks) on brand advocacy is mediated by perceived identity threat and mitigated when consumers’ identification with the attacked brand is strong. Practical implications The study’s findings yield practical applications for marketers and brand managers, assisting them in understanding consumers’ reactions to brand attacks. This study serves as a reference for firms to consider leveraging the association between brand identification and brand-related attack targets and uniting with loyal brand fans to manage online brand conflicts. Originality/value The present study extends prior literature on customer-brand relationships in the context of online attacks. Through investigating the impacts of brand-targeted and consumer-targeted attacks on brand advocacy, this research offers theoretical insights into consumers’ responses to online attacks with different targets.
科研通智能强力驱动
Strongly Powered by AbleSci AI