Purpose - This study aimed to identify the sub-dimensions of fashion social media quality (information quality, social quality, service quality, system quality) and investigate how they affect purchase intention through fashion information use behavior (information acceptance, information diffusion). Research design, data, and methodology - Data collection was carried out twice for systematic verification of the research model. In the first data collection, the reliability and validity of research variables were verified through 238 respondents and questionnaires were revised and supplemented based on their responses. In March 2018, the final survey was conducted from 755 respondents the age of 20 to 49. Using SPSS 23.0, descriptive statistics, exploratory factor analysis, correlation analysis were performed. In order to test hypotheses, structural equational modeling technique was employed using AMOS 23.0. Results - First of all, fashion Social media quality consists of four factors including information quality, social quality, service quality and system quality. Second, fashion Social media information quality, social quality, and system quality were shown to have a positive(+) effect on information acceptance behavior, and social quality, service quality and system quality were shown to have a positive(+) effect on information diffusion behavior. It was also determined that the acceptance and diffusion behaviors of fashion information through fashion Social media had positive(+) influence on purchase intention. Conclusions - This study holds academic significance in its identification of the components of fashion Social media quality and for conducting an empirical analysis on the causal relationship between fashion information acceptance and diffusion behaviors, and purchase intention. The results of this study indicate that fashion involvement is the key factors in determining the quality of Social media, the acceptance of information through Social media, and, by extension, the purchase of fashion products. Practitioners in the fashion industry may use the findings of this study in order to build more effective Social media strategy.
This study investigates clothing consumption behavior of fast fashion purchasers according to environmental consciousness. Questionnaire examined 245 males and females in Busan who experienced fast fashion product purchases. Data were analyzed using factor analysis, t-test. ANOVA, Duncan Test and ${\chi}^{2}-test$. The results are as follows. First, the result showed significant differences in environmental consciousness education according to demographic characteristics. Second, the results showed significant differences in the hedonic pursuit of purchase motivation for fast fashion products according to environmental consciousness. The low environmental awareness group pursued hedonic purchases towards the purchase motivation of fast fashion products. The results showed significant differences in fast fashion disposal behavior according to environmental consciousness; however, not for the disposal motivation of fast fashion. In the disposal behavior of fast fashion, the high environmental awareness group indicated social friendly disposal and the middle environmental awareness group indicated economical disposal. The result showed significant gender differences towards clothing consumption behavior of fast fashion according to demographic characteristics. Males and females showed significant differences in all purchase motivation factor for fast fashion products. They also showed significant differences in economical disposal towards fast fashion disposal behavior.
The purpose of this study was 1) to find out the dimensions of consumers motive of variety seeking and variety seeking behavior toward clothing products, 2) to examine the relationship between above variables, and 3) to classify consumer group according to their motive and behavior of variety seeking, and to compare the groups characteristics in terms of the fashion interests and clothing purchase behavior. The data were obtained from 913 female university students, career women, and housewives using questionnaire. Consumers appeared to have the motive of variety seeking in clothing products, and the motive was composed of four factors. Consumers would show variety seeking behavior in clothing products. And the behavior was composed of three factors. Positive relationship existed between the motive and the behavior of variety seeking, while, the 4 factors of variety motive influenced differently on the different factors of variety seeking behavior. Subjects were classified into four groups according to their motive of variety seeking and variety seeking behavior. A significant differences were found among the 4 groups in fashion interests as well as quantity of purchase, frequency of purchase to clothing products.
The purposes of this study are to investigate what star marketing is and to examine whether star marketing influences clothing purchase behavior of adolescents or not. The concept and the instances of star marketing were reviewed and the characteristics and clothing behavior of adolescence were analyzed. The data were obtained from questionnaires completed by 341 middle and high school students and analyzed by frequency, t-test, chi-square test, cluster analysis, ANOVA, and Scheffe test. The Cronbach's alphas were calculated for the internal consistency. The results of the study are as follows. The sample was classified into three groups(high interest/high awareness group, high interest/low awareness group, and low interest/low awareness group) by the interest of TV watching and TV stars, the identification with TV stars, and the awareness and the interest of star marketing. There were significant differences in clothing purchase motives, the use of information sources, clothing buying places, clothing purchase frequency, and clothing expenditure among three groups.
This research is to classify psychological risk perceptions in purchases process at counterfeit at fashion luxury brands, into a risk perception on purchase activity itself and a risk perception on the post-purchase situation, and to analyze types and characteristics at risk reduction behaviors to reduce each risk perception. In this research a qualitative method was employed, and research-related data were collected and analyzed through in-depth interviews. Results were shown that risk reduction behaviors at psychological risk perception on purchase activity itself included rationalization of purchase, accompanied purchase, reduction and discontinuance of purchase, and that risk reduction behaviors of psychological risk perception on the post-purchase situation included information search, establishment of selection criteria, establishment of marginal limit, selective purchase, planned and compared purchase, and reduction and discontinuance of purchase. Previous researches suggested brand loyalty, selection of famous brands, utilization of information agents by marketers, pre-purchase usage and guaranteed purchase, but these risk reduction methods were not utilized, this probably being interpreted as a result of characteristics of counterfeit. In addition, risk reduction behavior of one type tended to reduce risk perception of several other types, and risk reduction behaviors of various types were utilized to reduce a certain type's risk perception. Not only types of risk perception but also levels of risk perception appeared to have exerted influence to risk reduction behaviors.
The purpose of this study was to investigate the main factors of return and consumers' return behavior types and also to find out the characteristics of consumer's purchasing behavior according to consumer's return behavior type. The Questionnaires was administered 315 males and females, who had experience of clothing purchase and return in internet shopping mall. The results were as follows. First, the factors of return were classified into quality of product, delivery, service, consumer's change of mind, and impulse buying. Second, 4 types of consumer's return behavior were categorized into habitual, dissatisfaction in product quality, dissatisfaction in delivery, and impulse buying. Third, Consumer's return behavior types were not significantly related to the frequency of purchase, information search. However there were significant differences in satisfaction of return process, dissatisfaction after return, and negative word of mouth according to the consumer's return behavior types.
This study investigates the clothing purchase behavior of active seniors in their 50s and 60s. Differences of clothing purchase behaviors were examined according to gender and the group classified by shopping orientation. Data were collected from September 2 to September 9, 2019 using a professional internet research panel; subsequently, 246 sets of useful data were analyzed by descriptive statistics, factor analysis, reliability analysis, t-test, chi-squared test, ANOVA and Duncan-test using SPSS 21.0. The results of this study were as follows. First, there were significant differences in clothing purchase behavior of purchase frequency, purchase item, purchase price, and purchase channel according to gender; therefore marketers need plan different merchandising and retailing strategies between man's wear and woman's wear. Second. the result of cluster analysis by shopping orientation showed that active seniors were categorized into four groups including 'active shopping pursuit', 'economic/pleasure pursuit', 'convenience/brand pursuit', and 'passive shopping pursuit'. Third, there were significant differences in demographic variables such as gender and occupation according to four categorized groups. In addition, the significant differences of clothing purchase behaviors were verified according to four groups. 'Active shopping pursuit' group was shown to make the best use of offline channels and online channels in information research and product purchase.
The purposes of this study were to segment knit wear consumers by their lifestyles and to examine knit wear purchase behavior among the lifestyle segments. The subjects of this study were female consumers who were residents in Seoul and metropolitan areas. The researchers distributed the questionnaires and the final sample of 357 was used for the data analysis. The statistical analysis methods used for the study were factor analysis, cluster analysis, ANOVA, Duncan test, and ${\chi}^2$-test. The results showed that the lifestyle factors had 6 dimensions: fashion, planned purchase, socially active, impulsive consumption, brand, and leisure/culture. These factors were categorized into four groups: brand oriented group, passive group, rational/social group, and fashion/impulsive consumption group. The results also showed that there were significant differences among the groups in regard to knit wear purchase criteria, knit wear image preferences, and other knit wear purchase behaviors. For example, brand oriented group considered design and brand name/fashion important as knit wear selection criteria, and the group preferred an elegance image and a modern image than did other groups.
The purpose of this study was to determine dimension of service quality, there by to analyze difference of service quality according to the types of fashion retail stores. and to investigate consumer variables (demographic characteristics, purchase behavior) and service quality which affect consumer satisfaction. The subject were 451 women in the age of twenty to forty years old who live in Seoul and the suburban of Seoul. The results of the study were as follows : First, it was found that fashion retail store's service quality was classified 5 factors: (1)salesperson. (2)convenience of shopping, (3)variety of product and facility. (4)store policy, (5)efficiency of movement. Second, departmentstore was evaluated the highest in terms of all factors. Discountstore was evaluated highly in terms of store policy and lowly in terms of variety of production and facility. East & South gate fashion shopping mall was evaluated the lowest in terms of all factors except variety of product and facility. Third, service quality and satisfaction showed significant differences in demographic characteristics. Purchase behavior of each fashion retail stores showed significant differences. The difference of service quality and satisfaction depending on purchase behavior showed a significant positive relation. Forth, service quality of discountstore and East & South gate fashion shopping mall were affected by purchase behavior partially. Departmentstore users were affected by salesperson and store policy. Discountstore users were affected by all factors except convenience of shopping. East & South fate fashion shopping mall users were affected by all factors.
This study investigated the uncertainty, regret experience, and negative behavior intention of fashion consumers according to the types of internet shopping malls. The data was obtained from internet fashion consumers, and 394 responses were used in the data analysis. The statistical analysis methods were frequency analysis, factor analysis, reliability analysis, t-test, ANOVA, and regression analysis. As results, the uncertainty of internet fashion consumers was composed of two factors; information uncertainty and preference uncertainty. The regret experience was composed of function or service regret, suitability regret, and product regret. Also, the negative behavior intention was composed of purchase switching intention and purchase deferral intention. The information uncertainty of fashion consumers positively affected the negative behavior intention in all types of internet shopping malls (e.g., open market, integrated shopping mall, and fashion specialized shopping mall). In open market, the preference uncertainty negatively affected the purchase switching intention; however, the preference uncertainty positively affected the purchase deferral intention. In open market and fashion specialized shopping mall, the product regret of internet fashion consumers positively affected the negative behavior intention. In addition, there were partially significant differences in the factors of uncertainty, regret experience, and negative behavior intention by gender and marital status of demographic characteristics. The results of this study will provide useful information to the marketing strategies considering fashion consumer's negative emotion and behaviors according to the types of internet shopping malls.
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