The purpose of this study is to explore the impact of window information on consumers' willingness to visit a fashion store according to their clothing shopping orientation. The sutjects of the research are conveniently selected females over the age of 20 living in Busan. A total of 202 questionnaire are collected far data analysis. The results of this study are as follows: 1. The factor analysis to identify the clothing shopping orientation showed four factors, such as hedonic, planned, independent/loyalty, and impulsive/convenience. A cluster analysis conducted by the four factors resulted in four patterns - utilitarian shopping orientation group, impulsive/convenience shopping orientation group, hedonic shopping orientation group, independent/loyalty shopping orientation group. 2. The window information conducted by factor analysis were divided into the four levels-product information, promotion information, fashion information, and store image. 3. A one-way ANOVA analysis carried out to find the window information effects among the groups revealed that there were significant differences in the factors of promotion information, fashion information, and store image. 4. Multi-regression analysis was conducted in order to find the impact of window information on the consumers' willingness to visit a fashion store. As a result, fashion information had the most impact on utilitarian shopping group, while product information, promotion information and store image had a great impact on impulsive/convenience shopping orientation group, fashion information and store image had the most impact on hedonic shopping orientation group.
This study researches age of discretion and lifestyles for aged women consumers and examines their social and psychologically recognized age of discretion and the difference in shopping orientation on fashion. Also it is purposed to support implications for marketing strategy on fashion market for the aged. A survey was carried out regarding the consumers of the new elderly generation aged 55 and above. 561 respondents were surveyed, residing in Seoul and Metropolitan areas. Factor analysis, Cronbach's ${\alpha}$, K-average community and multivariate analysis, multi-recurrence and crossing analysis($X^2$ verified) were used for statistical analysis. In conclusion, first, people in their 70s to 80s perceive their age 20 to 30 years younger than their real age. Second, appearance-oriented and high technology-oriented were the most highlighted lifestyles as to the study of the vital statistical, related to the lifestyle in correspondence to the real-age and the cognitive age. Third, people who feel older than they actually are in terms of shopping orientation were less likely to shop depending on their mood. Throughout the results, there is no doubt that people in the elderly generation is a main target within marketing trends in the elderly generation industry. A research based on comparison between the male and the female consumers in the elderly generation is considered to be very meaningful.
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.
The purpose of this study were to examine fashion information acceptance and fashion information sources and to analyze the difference according to clothing shopping orientation among digital generation male consumers. The subject were 349 male who were belonging to digital generation as the digital era's new consumers familial with internet and various kinds of digital media. A self-administrated questionnaire was developed based on the results of previous researches. The data were analyzed by using frequency analysis, factor analysis, cluster analysis, ANOVA, Duncan test, $\chi^2$ test, multiple regression analysis by SPSS WIN 12.0 package. The results of this study are as follows: First, clothing shopping orientation of digital generation males were classified into 6 factors: fashion oriented, impulse buying, aesthetic pursuit, individuality pursuit, practical type and reasonable economy. Based on the factor scores, 3 clusters were identified; independent, unconcern, high involvement. Second, the high involvement shopping group utilized various information sources. On the other hand, the unconcerned shopping group was passive in utilizing information sources. Third, the fashion information acceptance of digital generation was classified into 5 factors: searching, leading, following, non-accepting, and delaying acceptance. All fashion information acceptance factors were affected by the information and communication media. Finally, The high involved type of shopping group accepted fashion information at its most and actively.
The purpose of this study was to investigate characteristics on Department stores consumers and to compare consumer characteristics among shopper types and department store types. For this purpose an ethnographic approach which is a kind of qualitative analysis was performed first. And then The data were collected from 600 female consumers over twenties and residing in Pusan Finally 499 data were used for the statistical analysis. 1. The results of clothing shopping orientations study were as follows : As a result of qualitative analysis those who patronize department stores were recreational/convenience shoppers. From quantitative analysis clothing shopping orientations were factor analyzed. which resulted in eight factors ; Recreational Shopping Convenience Shopping. Sensibility Seeking Well-Known Brand Preference Fashion Seeking Economic Shopping Sel-confidence in clothing shopping Convenient store shopping. 2. The results of store choice criteria study were as follows: As a result of concentrative observation eight store choice criteria dimensions were categorized : Service Store Atmosphere Promotion/Facilities Product Convenience Advertisement VMD Traffic/Location Convenience. From quantitative analysis eight store choice criteria factors emerged; Service Store Atmosphere Promotion/Facilities Assortment Shopping Convenience Advertisement VMD Traffic/Location Convenience. 3. According to the factor scores of recreational shopping and Convenience shopping consumers were segmented into four shopper types ; High Shopping-involved Shopper Recreational Shopper Convenience Shopper and Low Shopping-involved Shopper. Department types were divided into a large enterprise department stores and local department stores. Consumer characteristics such as clothing shopping orientations store choice criteria purchase behavior variables and demographic variables were significantly different in shopper types and department store types were significantly different in clothing shopping orientations and tore choice criteria.
The purpose of this study was to segment the clothing customers of new traditional market according to shopping orientation and to clarify the different clothing behaviors among segmented groups. This study may be useful for new traditional marketer to make proper marketing strategies. The subjects for the final analysis were 400 customers who visited Namdaemoon and Dongdaemoon new traditional markets. The statistics used for analysis were factor analysis, cluster analysis, Cronbach-${\alpha}$, one-way ANOVA, LSD multiple range test and chi-square by the SPSS program. The results of this study were as follows: 1. The customers of new traditional market were segmented to 5 groups (Diffidence Group, Confidence/Information Group, Active Group, Shop/Brand Loyalty Group and Planned Purchasing Group); 2. The five segmented groups were significantly different in clothing evaluation standards, shop evaluation standards, satisfaction and demographic variables such as sex, age, education and monthly spending money.
In this study, Internet users were separated into 3 groups(clothing shoppers, clothing non-shoppers, non-shoppers). Shopping behavior of clothing shoppers(those who used the internet channel for clothing shopping) and the attitude to internet clothing shopping were examined. And characteristics of clothing shoppers were compared with characteristics of clothing non-shoppers(those who purchased goods except clothing on internet) and non-shoppers(those who purchased nothing on internet). The reason why clothing non-shoppers and non-shoppers didnt purchase clothing on internet was also investigated. Questionaire was used as method of gathering data. Mean, ANOVA, Duncan-test, t-test and $\chi$$^2$-test were used for data analysis. 1. Clothing shoppers considered carefully design, exchange & refund, quality and price and purchased generally T-shirt, underwear, jeans and sports wear. 2. Clothing shoppers thought clothing in internet shopping malls was not various in item, design, color, size and price. But they were satisfied with shopping convenience. 3. Clothing shoppers were more conscious of the shopping cost compared with clothing non-shoppers and non-shoppers Recreational shopping orientations and fashion leader orientations were low in both groups. Self-confidence in connection with clothing purchase were high in each groups, but that of clothing shoppers were relatively higher than clothing non-shoppers and non-shoppers. 4. The reason why clothing non-shoppers and non-shoppers didnt purchase clothing in internet shopping malls was that they wanted to buy after trying on clothing in a store, didnt believe the quality of clothing, didnt need to purchase clothing in internet shopping malls, and worried about exchange & refund.
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 is to investigate the effects of clothing shopping orientations on consumers emotions in clothing stores based on level of clothing involvement. For this purpose, factor analysis was used to identify shopper types by clothing shopping orientation and factors of consumers' emotions and multiple regression analysis was used in each level of upper 25% and lower 25% of clothing involvement to find out the effects of clothing shopping orientations on consumers' emotions. The results of this study can be summarized as follows; 1. 4 factors were found in clothing involvement. 2. 6 factors were found in clothing shopping orientations but 'recreational shopping orientation' 'economic shopping orientation' of high loading factors were used for multiple regression analysis, 3. 4 factors were found in consumers' emotions but 'pleasure' arousal' 'enervation' were selected for multiple regression analysis. 4. In the upper 25% group of clothing involvement level; it is founded that 'recreational shopping orientation' influenced 'pleasure' and 'economic shopping orientation' did not influence 'pleasure'; it is founded that 'recreational shopping orientation' influenced 'arousal' and 'economic shopping orientation' did not influence 'arousal'; 'recreational shopping orientation' and 'economic shopping orientation' did not influence 'enervation'. 5, In the lower 25% group of clothing involvement level; it is founded that 'recreational shopping orientation' and 'economic shopping orientation' influenced 'pleasure' and did not influence 'arousal'; it is founded that only 'economic shopping orientation' influenced 'enervation' negatively.
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