The brand behind the garment is what gives the product popularity, relevance to the consumer, and overall profitability. As time passes, markets are becoming flooded with more brands that inherently provide the commodities. As a result, fashion marketers must put more time and investment into stipulating ways for which their brand can reach a select target consumer and enhance repeat purchase intentions with their competitive differentiations. As their efforts engage, an experiential perspective emerges in the fashion industry. By comparing fashion brands and their different distribution channels, the objectives of this study are to identify consumers’ perceptions of fashion brand experience dimensions and experience types, and to investigate the effect of brand experience dimensions and types on brand resonance. Upon extending Schmitt and Brakus, Schmitt, and Zarantonello’s experience dimensions and types, in conjunction with Keller’s brand resonance model, 12 out of 20 hypotheses confirm the significant impact of consumers experiences on brand resonance by analyzing the data (n = 374) from a university in the United States. Sensory and affective experiences are primary factors for establishing fashion brand association, while cognitive and relational driven experiences lead to establishing fashion brand loyalty. Sensory, affective, and relational experiences affect both product and …

QQ China features interactive and connective online channels that generate social relational resources, encourage individual engagement, and facilitate embedded economic potential. The objectives of this research are to describe QQ users’ demographics and virtual behavior characteristics, to identify the underlying dimensions of relational social capital and virtual engagement, and to investigate the impacts of social capital and virtual engagement on purchase intention. Results from an analysis of data (n = 216) from China reveal the significant impacts of relational social capital and virtual engagement on purchase intention. First, functional purchase motivations, channel usage, and purchasing behaviors are captured to portray characteristics among QQ’s users. Second, trust, identification, and norm of reciprocity are primary antecedents to predict purchase intention in QQ. Third, three dimensions of relational social capital facilitate QQ users’ virtual engagements. Finally, information seeking and knowledge creation leads to product purchase intention.