The purposes of this study were to: 1) identify sub-factors of fashion shopping orientation (FSO) in adults aged 20 through 39, and analyze the differences among those FSO factors according to classified groups, which were based on gender and purchase frequency in a mobile shopping mall, and 2) to investigate the effects of FSO factors on mobile purchase intention according to the same classified groups. The questionnaire was conducted from November 10, 2015 to November 20, 2015 and its 432 respondents were classified into four groups, which were male/heavy purchaser, male/light purchaser, female/heavy purchaser, and female/light purchaser. The results of this study were as follows: First, fashion shopping orientation consisted of five sub-factors, which included “conspicuous brand pursuit”, “economic pursuit”, “pleasure/trend pursuit”, “impulse shopping”, and “convenience pursuit”. Second, There were significant differences in three factors of FSO between male purchasers and female purchasers. Male purchasers showed higher tendency than female purchasers in “conspicuous brand pursuit”, while female purchasers showed higher tendency than male purchasers in “economic pursuit” and “convenience pursuit”. All the factors of FSO showed significant differences among the classified groups. Third, “economic pursuit”, “pleasure/trend pursuit” and “convenience pursuit” affected mobile purchase intention in the case of male purchasers while “economic pursuit” and “conspicuous brand pursuit” had a influence on mobile purchase intention in the case of female purchasers. Fourth, the factors of FSO affected mobile purchase intention partly in each group. In conclusion. “economic pursuit” was proven to be the main influential factor to induce consumers to have a mobile purchase intention.
The purpose of this study is to investigate the differences in fashion shopping orientation and perceived value according to the level of use of mobile fashion shopping. Furthermore, the effect of fashion shopping orientation on perceived value was analyzed. To estimate the level of use of mobile fashion shopping, respondents were classified into four different groups in terms of their frequency of buying fashion products and the period for which they had bought fashion products. The survey was limited to adults aged 20-40 years who had purchased fashion products in a mobile shopping mall. The questionnaire was carried out from April 15, 2015 to April 22, 2015 and 430 sets of useful response data were analyzed using SPSS 17.0. The results of this study were as follows: First, fashion shopping orientation for mobile shopping consumers was divided into four factors as follows: convenience/ economic shopping, ostentation/trend shopping, enjoyment shopping, and impulse shopping. Second, there was a significant difference in all the fashion shopping orientation factors except for convenience/economic shopping according to each classified group: short/few, long/few, short/many, and long/many. In addition, there was a significant difference in perceived value according to each group. Third, all the fashion shopping orientation factors except for impulse shopping had a significant influence on perceived value. Fourth, fashion shopping orientation factors had a slightly significant influence on the perceived value according to each group.
The purpose of this study is to empirically investigate consumers’ clothes shopping orientation factors and perceived risk factors affecting the purchase intention for fashion products in social commerce. For this study, questionnaires were given to 500 adults in their 20s~30s who had experience of using social commerce related to general products or services. To analyze the results of this study, we conducted descriptive analysis, factor analysis, reliability analysis, a chi-square independence test, and hierarchical regression analysis using SPSS 18.0. The results were as follows. First, social commerce users’clothes shopping orientations were classified into the pursuit of pleasure, brand, fashion innovation, trend, and utility, and the perceived risks were classified into the risks related to products, consumer service, loss of purchase opportunity, confidence in the web site, economy, and security. Second, clothes shopping orientation factors and perceived risk factors had a somewhat significant influence on the purchase intention for fashion products. Third, there was a significant difference between sexes regarding the influences of the clothes shopping orientation factors and perceived risk factors for the purchase intention of fashion products. Finally, this study aims to provide useful information for fashion companies to enable them to establish specific strategies that can influence consumers’purchase behaviors through social commerce.
This study understood what effect was produced on the purchasing decision making of outdoor wear by a shopping orientation, fashion involvement and demographic characteristics offered practical suggestions as to what effect was produced on the store selection criteria, product selection criteria for purchasing decision making in purchasing outdoor wear. This research was conducted through a questionnaire survey, and 397 males in were collected for analysis. The results were as follows. First, shopping orientation group was classified into hedonic shopping orientation group and utilitarian shopping orientation group. And it was classified into high fashion involvement group and low fashion involvement group according to fashion involvement. Product selection criteria were classified into 2 factors such as intrinsic attributes and extrinsic attributes. And store selection criteria were classified into 4 factors such as store atmosphere, store environment, promotion and salesmen. Second, there was partly significant difference in product selection criteria, and store selection criteria between utilitarian shopping group and hedonic shopping group. Third, there was significant difference in product selection criteria and store selection criteria between high fashion involvement group and low fashion involvement group. Finally, there was significant difference in the and according to age, job, and income among demographic characteristics.