When things fall apart: Exploring brand hate in influencer endorsements

Driven by the growing popularity of live streaming, brands increasingly favor influencers for their extensive reach. However, realizing broader brand value requires a comprehensive understanding of not only the positive but also the negative implications of influencer endorsements. To address this gap, this study introduces and validates the impact of influencer-brand incongruence, symbolic incongruity, negative past experiences, ideological incompatibility, and negative publicity on attitudes towards both influencers and brands. An asymmetric model is employed to uncover the antecedents of consumer brand hate. A multi-method approach is adopted: Study 1 applies the Delphi method to identify key antecedents, while Study 2 analyzes data from 326 Chinese live streaming consumers using partial least squares structural equation modeling (PLS-SEM) and artificial neural networks (ANN). Findings indicate that negative past experiences and negative publicity significantly harm attitudes towards influencers and brands, respectively. These negative attitudes contribute to brand hate, which subsequently leads to brand avoidance, complaints, and negative word of mouth. This study advances the theoretical framework of influencer endorsement and offers practical insights for influencer marketing managers and brand managers to address negative consumer behaviors and to develop brand strategies that effectively manage risks associated with influencer partnerships. • This study explores how negative influencer endorsement impacts brand hate. • The self-congruity theory is adopted. • This study develops brand hate as a high-order construct. • A multi-analysis approach is included.

Authors

Publication Details

Journal
Technological Forecasting and Social Change
Published
2025-08-18
DOI
https://doi.org/10.1016/j.techfore.2025.124321
Citations
1
Primary Topic
Digital Communication and Language
Type
article
Field-Weighted Citation Impact
1.94
Controls
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article

When things fall apart: Exploring brand hate in influencer endorsements

Keng‐Boon Ooi, Garry Wei‐Han Tan, Eugene Cheng‐Xi Aw, Yuzhen Pan
1 citations
Technological Forecasting and Social Change
Digital Communication and Language
1.94
article

When things fall apart: Exploring brand hate in influencer endorsements

Keng‐Boon Ooi, Garry Wei‐Han Tan, Eugene Cheng‐Xi Aw, Yuzhen Pan
article en
1 citations

Abstract

Driven by the growing popularity of live streaming, brands increasingly favor influencers for their extensive reach. However, realizing broader brand value requires a comprehensive understanding of not only the positive but also the negative implications of influencer endorsements. To address this gap, this study introduces and validates the impact of influencer-brand incongruence, symbolic incongruity, negative past experiences, ideological incompatibility, and negative publicity on attitudes towards both influencers and brands. An asymmetric model is employed to uncover the antecedents of consumer brand hate. A multi-method approach is adopted: Study 1 applies the Delphi method to identify key antecedents, while Study 2 analyzes data from 326 Chinese live streaming consumers using partial least squares structural equation modeling (PLS-SEM) and artificial neural networks (ANN). Findings indicate that negative past experiences and negative publicity significantly harm attitudes towards influencers and brands, respectively. These negative attitudes contribute to brand hate, which subsequently leads to brand avoidance, complaints, and negative word of mouth. This study advances the theoretical framework of influencer endorsement and offers practical insights for influencer marketing managers and brand managers to address negative consumer behaviors and to develop brand strategies that effectively manage risks associated with influencer partnerships. • This study explores how negative influencer endorsement impacts brand hate. • The self-congruity theory is adopted. • This study develops brand hate as a high-order construct. • A multi-analysis approach is included.

Technological Forecasting and Social ChangeVol. 220
Openalex Percentile: Top 13%
Digital Communication and Language
1.94
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