This study confirmed the types of shopping information sources during travel abroad, and developed a profile of tourists in terms of demographics, travel, and shopping behavior. Shopping information sources and characteristics of shopping products were identified first. Thereafter, travelers were segmented by their information-seeking behavior. An online survey method was used to get data from Korean vacationers in their 20s-50s, while factor analysis, cluster analysis, ${\chi}^2$ test and ANOVA were applied to analyze data. The results were as follows. First, the shopping information sources of overseas tourists were composed of four factors including sources from travel agents/media, information from travel books and local sources, and word-of-mouth sources. Also, four factors in product types and four product attributes were identified. Second, tourists were clustered into two groups, active and passive shopping information seekers, based on shopping source behavior. Third, two groups differed in terms of demographics, showing an older age and higher income for active shopping source seekers. Active shopping information users tended to join package trips with family members, and they were more satisfied with the trip. With regard to shopping, active shopping source seekers spent more money for shopping and preferred all kinds of shopping goods with an emphasis on travel shopping. In conclusion, shopping information sources seemed to be a meaningful tool for segmenting tourists. Rich, older, family tourists would be an major target market for local retailers.
The purposes of this study were to research the clothing shopping orientations and the utilizations of information sources according to values of male consumer aged between the 20's and the 30's. The data were analyzed by factor analysis, one-way ANOVA, Duncan's multiple range test, x2- test, Pearson's correlation. The results of the study were as follows: 1. Male consumer's values were classified into 2 factors, and consisted of three groups. 2. There were significant differences among groups according to demographics variables. 3. Clothing shopping orientations were classified into 6 factors and information sources were classified into 3 factors. 4. There were relationships between male consumer's values, clothing shopping orientation, and utilization of information sources.
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 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 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 the impulse buying behavior of men and women in their twenties, who have experiences of purchasing on internet shopping malls, when they buy fashion products. The data in this study was statistically analyzed using factor analysis, reliability coefficient, and multiple regression analysis using SPSS 14.0. The findings are as follows. First, factor analysis revealed five factors of impulse buying behavior during the purchase of fashion products on internet shopping malls: affective impulse buying, provocative impulse buying, situational impulse buying, reminder impulse buying, and pure impulse buying. Second, factors of perceived risk when purchasing fashion products on internet shopping malls included product quality, payment, service, and economy. Third, sources of information included personal sources of media for fashion professionals, commercials and sponsorship, and promotion. Fourth, the effect of the perceived risk on impulse buying behavior was investigated and the result showed that the perceived risk had a statistically significant influence on impulse buying behavior. Finally, the effect of the information source on impulse buying behavior was investigated and the results showed that the use of information sources had a statistically significant influence on impulse buying behavior.
The purpose of this study is to research male consumers' shopping behavior according to their fashion consciousness. For the purpose, the data collected were analyzed by factor analysis, one-way ANOVA, Duncan's multiple range test X2-test, and Pearson's correlation. The results of the study are as follows: 1. Male consumers' fashion consciousness were classified into 4 groups-Impulse Buying Consciousness Group, Brand Consciousness Group, Style Consciousness Group, and Fashion Indifference Group-by the following 6 factors: Impulse Buying Consciousness, Brand Consciousness, Style Consciousness, Trend Consciousness, Price Consciousness, Consumption Expenditure Consciousness. 2. There were significant differences existed among each group according to clothing purchase behavior, shopping orientation, and use of information sources. 3. There were a relationship among male consumers' fashion consciousness, their use of information sources, and their shopping behavior including clothing shopping orientation.
The Main objective of this study was to investigate the relationship between shopping orientations and Knit wear Buying Behavior of college female students. A questionnaire was developed to measure knit wear purchasing motives, fashion information sources of knit wear, evaluation criteria of knit wear product, and general clothing buying behavior. The questionnaire was administered to 505 college female students in Chonbuk and Chonnam. The data was analyzed using percentage, frequency, mean, factor analysis, Cluster Analysis and ANOVA, Duncan Multiple Range test. The results of the study were as follows: 1. The college female students were classified into fifth subdivisions by the cluster analysis; convenient shopping group, recreational shopping group, self-confident shopping group, those of Fashion-pursuit group, economic shopping group. 2. The knit wear purchasing motives of consumers were significantly different according to shopping orientation subdivision in social, personal, rational. 3. In the case of fashion information sources of knit wear, significant differences were found according to shopping orientation subdivision in mass media information, information by marketer, mail order advertisements, information by consumer. 4. The evaluation criteria of knit wear product of consumers were significantly different depending on shopping orientation subdivision in esthetic, practicality, individual expression, external criterion. 5. In the case of dissatisfactory factors for wearing knit wear product, significant differences were found according to shopping orientation subdivision. 6. In the case of asking factors to the manufactures of knit wear product, significant differences were found according to shopping orientation subdivision.
The purposes of this study were to understand the buying patterns of adult women according to impulse shopping, benefits sought, and selecting information sources. This subjects of this study were 509 adult women from the age 20's to the age of 40's. This data were analyzed by using factor analysis multi regression analysis, analysis of variance, Scheffe' test. The results of this study were outlined as follow: 1. Differences among ages (the 20's, the 30's, and the 40's) in impulse shopping were as follow: The 30's bought more cosmetics to change their mood compared to the 20's or the 40's, and the 20's and the 30's bought more cosmetics matching to their images compared to the 40's. 2. From the aspects of benefits sought, the 20's and the 30's were more seriously consider the fame of brands compared to the 40's, showing they were different from the 40's. 3. From the aspects of selecting information sources about cosmetics, the 20's were more actively utilizing both human information sources and non-human information sources compared to the 30's and the 40's.
The purpose of this study was to investigate the actual state and problems of outlet stores. And examine store attributes shopping orientations information sources according to demographic characteristics for outlet store patronage group. The questionnaires were administered to 400 women living in Taegu. The data were analyzed by using Frequency Percentage Factor Analysis MANOVA. The results of the study were as follows; 1) Outlet stores in Taegu area were run as the type of agency and dealt in most brands of their own companies, There were plenty of as-sortment and merchandise. The discount rate was 50-60% Stores' locations were scattered which made shopping environment incon-venient. 2) The store attributes were composed of five factors such as fashion & products diver-sity service store reputation convenience and price. Shopping orientation were com-posed of six factors such as self-confidence for shopping brand oriented store loyalty & near-store oriented economical self-assumed shopping and difficulty of choice. Information sources were composed of four factors such as print media & display personal information advertising and store visit. 3) There were significant differences be-tween patronage group and non-patronage group in store reputation service fashion & products diversity. Patronage group is more satisfied with these three factors. There were significant differences between patronage group and non-patronage group in brand oriented and economical Non-patronage group was more brand oriented and patronage group was more economical. There were significant difference between patronage group and non-patronage group in print dedia & display factos. Non-patronage group made more use of print media& display than patronage group as information sources. There were significant differences between patronage group non-patrpnage group in age marital status and levle of education.
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