Consumers seek the pleasure, fun and satisfaction in shopping. Retailing environments of apparel products are rapidly changing than ever before. One of there changes are offered apparel products with entertainment service, such as theaters, restaurants and so on. The purpose of this study was to investigate the effects of entertainment service, shopping orientation and emotion on impulse buying behavior in department stores an shopping malls. A self-administrated questionaire was developed based on the results of previous researches and pre-test. Data were obtained from shoppers(N=684) randomly selected in department stores and shopping malls located in Seoul and Busan. Data were analyzed by factor analysis, t-test, cross analysis, and path analysis. The results showed that; impulse buying behavior was directly or indirectly affected by shopping orientation in both of two store types. In department stores, consumers were affected to make a good mood by entertainment service while, in the shopping malls, consumers were influenced directly by entertainment service to be a good mood and to purchase impulsively apparel products. Therefore, the impulse buying behavior was influenced differently by entertainment service in store types. From the retailer's perspective, they give insights into the development of strategies utilized to marketing planning of entertainment service in each store types.
The purpose of this study was to investigate the demographics and general clothing buying behavior according to clothing shopping orientation of female workers. A questionnaire was developed to measure clothing shopping orientation, fashion information sources, stores selection criteria, clothing purchasing frequency of a year, purchasing expenditure of clothing, the demographics. The questionnaire was administered to 775 female teacher in Chonnam. The data was analyzed using percentage, frequency, mean, factor analysis, Cluster Analysis, $\chi^2$-_test and ANOVA, Duncan test. The results of the study were as follows: 1. The female teachers were classified into four groups by the cluster analysis; indifferent shopping group, rational shopping group, conspicuous shopping group, recreational shopping group. 2. In the case of fashion information sources, significant differences were found according to shopping orientation subdivision in mass media information, information by consumer, information by marketer. 3. The stores selection criteria were significantly different depending on shopping orientation subdivision in goods and atmosphere of shop, promotion, convenience of shop's location. 4. The clothing purchasing frequency of a year were significantly different depending on shopping orientation subdivision. 5. The significant differences were found according to shopping orientation subdivision in purchasing expenditure of clothing. 7. In the demographic characteristics, significant differences were found according to shopping orientation subdivision in age, marriage, the length of one's work, income.
The purpose of this study was to investigate the demographics and general clothing buying behavior according to clothing shopping orientation of female workers. A questionnaire was developed to measure clothing shopping orientation, fashion information sources, stores selection criteria, clothing purchasing frequency of a year, purchasing expenditure of clothing, the demographics. The questionnaire was administered to 775 female teacher in Chonnam. The data was analyzed using percentage, frequency, mean, factor analysis, Cluster Analysis, x 1_test and ANOVA, Duncan test. The results of the study were as follows: 1. The female teachers were classified into four groups by the cluster analysis; indifferent shopping group, rational shopping group, conspicuous shopping group, recreational shopping group. 2. In the case of purchasing motives, significant differences were found according to shopping orientation subdivision in four factors. 3. The evaluation criteria of product were significantly different depending on shopping orientation subdivision in practical attribute, socio-psychological attribute, and aesthetic attribute. 4. The significant differences were found according to shopping orientation subdivision in general clothing purchasing behavior(purchasing price range of clothing, clothing purchasing frequency of a year, method of payment, number of stores visited, experience of buying in the import brand)
The purpose of the study is to investigate relationships between shopping orientations and receptive attitudes towards sales promotion activities by internet fashion companies. Futhermore, the study was to explore differences in shopping orientations and receptive attitudes towards sales promotion activities according to consumer groups who were classified by their frequency of buying fashion merchandise through the internet. A total of 954 questionnaires were administered to internet users, and 943 questionnaires were returned. Data was analyzed by SPSS 10.0, and factor analysis, Cronbach' $\alpha$ coefficient, ANOVA, Duncan's Multiple Range test and Multiple regression were used. The findings of the study were as follows: There were differences in shopping orientations and receptive attitudes towards sales promotion activities among consumer groups. Frequent shoppers had most and non-frequent shoppers had the least shopping enjoyment, fashion orientation, and receptive attitudes towards sales promotion activities than any other group. There were significant positive relationships between 3 factors of shopping orientations and 3 dimensions of receptive attitudes. All three factors of shopping orientations affected each three dimensions of receptive attitudes of internet fashion consumers towards sales promotion activities.
This study investigated clothing shopping propensity and consumer awareness of Chinese adult men to provide necessary basic data for effective construction to cope with inroads into Chinese men's wear market. Research subjects were Chinese men in big five city (Beijing, Shanghai, Dalian, Harbin, Guangzhou). Returned 863 questionnaires were analyzed by mean, factor analysis, ANOVA, Duncan's Multiple Range, regression analysis with SPSS 10.0. Results of this research were as follows: 1. Chinese men's apparel shopping propensity factors were analyzed by four groups, such as fashion toward propensity, consume propensity, brand loyalty propensity, and casual preference propensity. 2. Consume propensity among 4 factors influenced most on consumer buying awareness. Brand loyalty propensity among 4 factors influenced most on consumer brand awareness. Fashion toward propensity influenced most on consumer fashion awareness. 3. According to region, there were significant differences to four grouped apparel shopping propensities. Harbin, Guangzhou were indicated higher fashion toward propensity than other areas. Guangzhou was indicated higher consume propensity than Dalian. Dalian was showed lower brand loyalty propensity than other areas. Beijing was showed higher casual preference propensity than Guangzhou. According to income, there were significant differences to four apparel shopping propensities. Highest income group was showed higher fashion toward propensity than other income. The higher men earned income, the higher brand loyalty propensity. Highest income group was showed lower casual preference propensity than lowest income.
The study is interested in the consumer's mixed choice of the internet and the offline stores. Therefore the purpose of study is to investigate if the clothing shopping orientation of consumers varies when they shop internet and offline, instead of classifying consumers into internet shoppers and offline shoppers. For the purpose, quantitative survey was carried out using 201 questionnaires from men and women in their twenties. The data were analyzed using factor analysis, Pearson's correlation analysis, Spearman's rank order correlation coefficient, t-test, and frequency analysis. The results are as following. First, the clothing shopping orientation structures of offline and internet stores were different each other. As the result of factor analysis, positive, brand oriented, economic, convenient conformity, convenient impulsive factors were extracted from offline store and rational, enjoying, goal oriented, conformity, brand oriented, convenient impulsive purchase factors were extracted from internet store respectively. Second, as the results of investigating the relationship between the clothing shopping orientation structures of offline and internet stores, positive(off)-enjoying(on), brand oriented(off)-brand oriented(on), convenient conformity(off)-conformity(on) had strong correlation s and the rest were peculiar to the each store type. Specifically, the goal oriented factor peculiar to the internet store was noticeable. Third, as the results of investigating the differences between clothing shopping orientation of offline and internet stores, the ranks of strong orientation dimension were different between two channels. As well, the mean differences were significant in goal oriented, conformity, brand oriented, and convenient impulsive purchase dimensions. This study has the significance that it investigated the variance of clothing shopping orientation according to the mixed selection trend of internet/offline.
Since consumers have become more comfortable with providing and receiving information online, 'online word of mouth' has been gaining consideration as one of the major information sources. Also, the shopping orientation of consumers has been proven to be an important determinant of consumer behavior. Therefore, the study investigated the differences in online WOM behavior based on shopping orientation. Hedonic, loyal, and syntonic styles were the types of shopping orientation considered, and the study focused on information retrieval tendencies, the motivation of online WOM search, searching online WOM sources, and the contents for the online WOM behavior. The research conducted an off-line survey targeting females in their twenties. The total number of data sets used in the empirical study was 125, and these were analyzed by SPSS 20.0: factors analysis, Cronbach's ${\alpha}$, k-means cluster, ANOVA, Duncan's multiple range test, Kruskal-Wallis, Mann-Whitney, and Bonferroni correction. The participants were divided into 3 kinds of shopping orientation groups named 'trend-pursuit', 'passive', and 'loyal'. As a result, there were significant differences in online WOM behavior discovered between the groups. Firstly, the 'trend-pursuit' group had the highest number of ongoing searches while the 'loyal' group had the highest number of pre-purchase search. Secondly, the 'trend-pursuit' and 'loyal' groups both had the motivations of online WOM search, hedonic and utility, whereas the 'passive' group had the lowest motivations for both motivations. Thirdly, the 'loyal' group frequently referred to reviews on shopping malls as online WOM sources. The research provided a better understanding of the online WOM behavior of present consumers and suggests that fashion related corporations map out marketing strategies with the understanding of these behaviors.
The purpose of this study were (1) to segment the female college students according to apparel shopping orientation and (2) to create a profile for each group with regard to impotance of store attributes, use of information sources, and self-image. The questionnaire were administered to the female college students living in Seoul and data were analyzed by frequency, percentage, factor analysis, cluster analysis, one-way ANOVA(analysis of variance), and MANOVA(multivariate analysis of variance). By cluster analysis of apparel shopping orientation factors, four groups are identified : (1) highly involved apparel shopper (44.34%), (2) brand-loyal shopper (24.43%), (3) planned / practical shopper, and (4) apathetic shopper (18.10%) Four groups were then compared through MANOVA on importance of store attributes, use of information, and self-image. Significant differences were found among four groups on three variables. In general. highly involved shopper tend not to be price conscious, enjoy shopping and use the information sources most actively and apathetic shoppers tend to be indifferent to apparel shopping and do not actively use the information sources.
The purpose of this research were to classify college women's clothing shopping orientation and analyze the predictable variables of impulse buying. The results of this research were as follows ; 1. Clothing shopping orientation was classified leisure pursuit, economic, careful and name brand preferring shopping. With reference to leisure pursuit and economic shopping, they were classified into four types, low shopping involved shopping type, economic shopping type, leisure pursuit shopping type, and high shopping involved shopping type. The low shopping-involved and the economic shopping types made much of planned buying. The planned impulse buying, reminder impulse buying, fashion oriented impulse buying and pure impulse buying were highly evaluated in the high-involved and the leisure pursuit shopping types. 3. The high shopping-involved and leisure pursuit shopping types were more likely to do impulse buying than low shopping-involved and the economic shopping types. 4. The most important factor for the four groups was design. Quality, color, utility were followed by design. 5. Impulse buying behaviors of four groups could be predicted by the information source and the marketing stimulus buying.
The purpose of the study were to classify apparel shoppers into specific apparel shopping orientation groups and to compare the classified groups on importance of store attributes, information sources, lifestyle activities, and demographic characteristics. The data were obtained from questionnaires filled out by 317 women in Daegu and were analysed by utilizing factor analysis, cluster analysis, and ANOVA. By cluster analysis of apparel shopping orientation factors, three groups were identified: Recreational shopper (48%), Economic shoppers (20%), Apathetic shoppers (32%). The results of ANOVA indicated that the cluster groups are significantly different in importance of store attributes (product assortment and shopping convenience), information sources (marketer-driven and consumer -driven), lifestyle activities (regular activities and activites for self-improvement), and IPmnuraDhic characteristics (age and education).
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