• Journal of Venture Innovation
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• v.3 no.2
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• pp.147-175
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• 2020

This study analyzed the effects that digital experience factors influence on purchase intention and the purchase. The study targeted an online shopping mall with a strong digital experience value among industries. The research model was derived by adding variables to independent and mediating variables according to the industry context of online shopping which is based on the theoretical background and previous studies. Product variety, price efficiency, convenience and conversation were used by terms of digital marketing mix as independent variables. Personalization has been very important factor in online shopping malls, and therefore added as a independent variable. Flow has been added as a mediating variable. Purchase and purchase intention has been used as dependent variables. For empirical testing of established research models and generalization of research results, research was conducted on online shopping malls where digital experiences are important. To do this, a survey was conducted for existing users of online shopping malls. In hypothesis testing, the hypothesis was established that product diversity, price efficiency, convenience, conversation and personalization influenced the intention to purchase online shopping. In particular, the product diversity and conversation variable were tested as the most influential factors on purchase intention. For price efficiency and personalization there were no statistically significant effect. Flow has been shown to be a partial mediator between Product variety and purchase intention in online shopping. In particular, in the case of personalization, it was tested to have a significant influence on purchase intention only when there was a flow experience called pleasure and immersion. This is because the flow experience of pleasure and immersion has played a full mediating role and significantly has affected the purchase intention, because the consumers themselves have to carry out the overall purchase journey without human help due to the nature of online. In the digital experience economy, since consumers are mostly digital consumers, where communication and sharing are the basics, they have been conducting digital word-of-mouth communication and sharing naturally before purchasing. Based on these results, theoretical and practical implications were suggested.

• Journal of the Korean Society of Clothing and Textiles
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• v.34 no.9
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• pp.1454-1469
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• 2010

Brands have their own life cycles and exert a great influence on the marketing activities of companies. This study examines the marketing activities according to a brand life cycle and measures the scope of their performances. The research divides a fashion brand life cycle into three stages through the analysis of secondary data, and validates the causal relationship between marketing activities, brand equity, and consumer behavior according to the brand life cycle. A total of 573 responses were analyzed through a factor analysis, path analysis, and paired t-test with SPSS 12.0. The results are as follows: According to the analysis of the relationship between marketing mix and brand equity, distribution strategies are effective at the introduction/growth stage and the continuation stage. Advertisement strategies should be a main focus at the maturity stage for brand awareness. Throughout all the stages, product strategies wield the greatest influence on the brand image. Among brand equity components, the brand image has an influence on consumer behavior at every stage of the cycle while the brand awareness has no significant effect on consumer behavior. The marketing mix component that has the greatest impact on consumer behavior is product. Contrary to general expectations, price has a negative or insignificant effect on consumer behavior at every stage of the cycle. The results illustrated in this study help to understand the life cycle of fashion brands and characteristics different from consumer goods. Thus, fashion companies should identify at which stage their brands are positioned and develop different strategies to fit each stage.