This study aims to investigate negative consumer‐brand relationships by developing a “Brand Hate” concept. A hierarchical Brand Hate model is theoretically discussed in light of the psychology and consumer behavior literatures. In Study‐I the Brand Hate concept was tested with two different types of consumer brand haters, true haters, and regular haters. The study found that in the study's proposed multidimensional Brand Hate hierarchy true haters display “Boiling Brand Hate” while regular haters reveal “Seething Brand Hate.” Two additional studies were developed to examine the relationship between consumer personality traits and Brand Hate, exploring which types of consumers are more prone to feel hatred toward targeted brands. Study‐II's findings revealed a relationship between consumers who are high in personality traits of “conscientiousness” and those who Brand Hate. Study‐III's findings indicated that “self‐confident” and “competitive” consumers might also be more prone to feel hatred toward those brands that perform poorly and unethically.
Purpose
This study aims to discuss the antecedent roles that corporate social responsibility and consumer complaints perform in consumer brand hate and anti-branding activities.
Design/methodology/approach
The reasons for the existence of anti-brand websites and how they operate in dynamically changing digital platforms are discussed with a literature review and data analysis.
Findings
The findings of this study reveal that there is a direct link between consumer dissatisfaction and brand hate, and that there is a partially mediating impact by customer dissatisfaction and corporate social responsibility on consumer brand hate.
Originality/value
This study is the first-of-its-kind investigation of the relationships that might exist among corporate social responsibility, consumer complaints and dissatisfaction, consumer anti-branding and brand hate with macro-level indicators. The study is the first of its kind to test macro-level brand hate measures with a set of longitudinal analyses.
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