Purpose This research aims to explore the impact of an overlooked variable, brand typicality, on brand evaluation and the categorization of counterfeits and imitations. Design/methodology/approach The research design is a 2 × 2 × 2 × 2 mixed design with the first three variables as between-subjects variables and the last as a within-subjects variable on a convenience sample of 287 respondents split into eight experimental conditions. Data are analyzed using Linear Mixed Models. Findings Results show that brand typicality and brand name and product appearance manipulations impact brand evaluation and categorization. Regarding brand evaluation, under high typicality conditions, any manipulation of brand name and/or product appearance, from identical to different, results in a less favorable evaluation, whereas under low typicality conditions, only brand name manipulation negatively impacts brand evaluation. Concerning categorization, under high typicality conditions, any change in brand name and/or product appearance results in the item’s categorization as an imitation or a counterfeit, whereas under low typicality conditions, the item may be categorized as either genuine or as imitation or counterfeit. Originality/value This research demonstrates the impact of brand typicality on both the evaluation and categorization of changes in brand name and product appearance. It also suggests that brands and product classes are not equal vis-à-vis counterfeiting and imitation. High typicality brand seems less vulnerable to counterfeiting and imitation. Findings are discussed regarding brand vulnerability to imitation and counterfeiting, the importance of considering competitive context, brand management and brand strategy.

Purpose: This research explores the impact of product category and consumers' motivations profiles on the determinants of consumers' preferences and purchase intentions of counterfeits and genuine, through manipulation of product attributes and purchase situations. Design/Methodology: The research relies on an experimental design involving a questionnaire on a convenience sample with two parts: a trade-off model manipulating three attributes: Product type (genuine vs counterfeit), Price (high vs low), Place of purchase (regular shop, Internet, market) in two product categories and a scale measuring motivations to purchase counterfeits. Ranking and purchase intentions are analyzed using conjoint analysis and Generalized Linear Mixed Model (GLMM).

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