The purpose of this study is to identify the relationships among price sensitivity, brand sensitivity, and fashion innovativeness. The data used in this study were gathered through surveying university students residing in Seoul metropolitan area using convenience sampling method. One hundred thirty eight questionnaires were used in statistical analysis, confirmatory factor analysis and path analysis using structural equation modeling. The results showed that the higher the price sensitivity, the lower the fashion innovativeness and the brand sensitivity.
This study analyzes how the perceived pressures and organizational readiness of fashion companies (that utilize the internet as a marketing or commercial transaction tool) influence the continuous internet adaptation intention. It ascertains the differences between the companies that have introduced the internet commercial transaction and companies that have not. The survey was conducted among the employees of fashion companies from January $15^{th}$ to February $20^{th}$ in 2009. A total of 314 respondents were submitted for analysis using diverse methods that include frequency analysis, factor analysis, reliability analysis, t-test, and multiple regression analysis. The results show that the perceived internal and external pressures, the support of the chief executive officer and capacity of the organization influence the continuous internet adaptation intention of fashion companies. There are differences in the perceived internal and external pressures, support of the chief executive officer, capacity of the organization, and continuous internet adaptation intention between companies that introduced a internet commercial transaction system and those that have not.
The object of this study looks into the awareness and satisfaction about Korean fashion product of Chinese adult women inhabited in China, by comparing with foreign fashion product. The questionnaire used as a method of measurement, and the sample was 848 Chinese women from 20 to 50 age, living in China. The analysis of all data was handled by SAS(Statistical Analysis System) program, Frequency Analysis, ANOVA, Duncan's Multiple Range Test was also executed. The results from the study were as follows: 1. The preference about Korean fashion product of Chinese women is higher than American, English and Japanese fashion product, but is lower than Italy, French and Chinese fashion product in each age. 2. About the quality, design, service's satisfaction and brand reputation of Chinese adult women, Italy product is first ranked and Korean, Chinese is followed. 3. About the possession item on Korean fashion product of Chinese adult women, younger and younger chinese women on age, Ta-Ryun resident in area, a company employee on occupation hold the most. 4. About the recognition on Korean fashion product of Chinese adult women, younger and younger preferred the popularity and special design of Korean fashion product, the women inhabited in Ta-Ryun and Buk-Kyung recognized the Korean product as economical. 5. About the satisfaction on Korean fashion product of Chinese adult women, there is no significant difference on age, residential district and occupation.
Journal of the Korean Society of Clothing and Textiles
/
v.33
no.10
/
pp.1590-1600
/
2009
This study investigates the fashion lifestyles and the effect on clothing purchase behavior by female consumers living in Mumbai India. Data were collected from 129 Indian women in their teens to thirties living in Mumbai and were analyzed by factor analysis, cluster analysis, one-way ANOVA, Duncan test, ${\chi}^2$-test, frequency analysis using SPSS 12.0. The results of this study are as follows. Five factors of fashion lifestyle are identified: fashion consciousness, price orientation, advertisement/brand orientation, being aware of others, and tradition orientation. Female consumers were classified into four groups based on fashion lifestyle factors: display/brand oriented group, active profit seeking group, fashion oriented group, and a tradition oriented group. There were significant differences among the fashion lifestyle groups on five criteria (latest fashion, price, commonality with existing clothing, size, and the distance to the store) out of the 13 criteria. The display/brand oriented group showed high scores on the latest fashion and size. The active profit-seeking group generally showed high scores on all five factors. The fashion oriented group showed high scores on latest fashion and commonality with existing clothing when buying clothes. Finally, the tradition oriented group showed high scores only on the distance to the shop, while they (the tradition oriented group) showed low scores on the other criteria. The examination on the actual conditions of clothing purchase among fashion lifestyle groups showed that only the monthly expenditure for clothing is significantly different. The display/brand oriented group and active profit seeking group spent more on clothing than the other two groups.
Fashion products are frequently purchased on impulse and are also one of the most popular product categories sold online. Online environment attributes can facilitate flow experiences that are described as an optimal psychological state reached during an engagement in activities (e.g., games and e-shopping). This study estimated the path model to examine the causal relationships among shopping mall attributes, flow, e-impulse buying, and consumer satisfaction for fashion products. A total of 598 usable questionnaires were obtained from college students who had purchased fashion products through the Internet. Data were analyzed by exploratory factor analysis, confirmatory factor analysis, and path analysis using SPSS 18.0 and AMOS 18.0. The results showed that e-shopping mall attributes (visual attributes and product attributes) significantly influenced e-impulse buying (fashion-oriented impulse buying and promotion-oriented impulse buying) which was mediated by the consumer flow experience and then influenced by consumer satisfaction. In the path model, the flow was stimulated by shopping mall attributes, the e-impulse buying was influenced by flow, and the consumer satisfaction was influenced by e-impulse buying. Flow was the most highly related to the fashion-oriented impulse buying, and followed by the relationship of the flow and promotion-oriented impulse buying in the context of e-shopping for fashion products. A managerial implication was discussed for fashion product e-retailers to develop strategies on visual attributes and product attributes that could stimulate and increase the consumer flow to trigger impulse buying as well as consumer satisfaction.
Journal of the Korea Fashion and Costume Design Association
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v.11
no.3
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pp.87-99
/
2009
The purpose of this study was to find out criteria for classifying fashion brand from the consumer point of view. This was compared with the viewpoint of fashion business practice in order to develop strategy of fashion brands and to manage brand effectively and systematically, and to suggest theoretical frame for application of these criteria. This study was researched as the succeeding study of a model of criteria for classifying fashion brands from the viewpoint of fashion business practice. Survey was used as a research method. The subjects were 422 women who were 20-30 years old and living in and near Seoul. Questionnaires were developed based on 37 fashion brands' classification criteria by means of pre-survey, and SPSS package and LISREL program were used to analyze the data. As a result of factor analysis considering 37 classification criteria, 8 factors were identified as classification criteria. They were as follows; the level of brand form, the level of product concept, the level of management item, the level of brand sales ability, the level of customer management, the level of brand advertising and awareness, the level of brand value, and the level of product lead ability. All of criteria were correlated to each other. The effective method to classify fashion brands was proposed by establishing the model of the relationship of the values of 7 criteria and by proving it with the structure equation model analysis. The model of criteria for classifying fashion brands that was suggested on this study was proved by the structure equation model analysis. In this study, from a consumer's point of view we suggested a theoretical framework describing which criteria would be selected to classify and utilize fashion brand market. This model can be used to select the most efficient classification criteria and classify them hierarchically instead of selecting only one among some factors that complex and interactional and classifying.
Journal of the Korea Fashion and Costume Design Association
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v.12
no.4
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pp.1-13
/
2010
The purpose of this study is to examine the different preference as well as the factor for this preference between general internet shopping mall and feminine internet fashion shopping mall only which are subjected with women and know the satisfaction which follows hereupon. This research will help to establish the strategy to marketers who manage feminine internet fashion shopping mall. The results of this study as follows; 1. As the result of the analysis of preference factors for general internet shopping mall, it was classified with, convenient characteristic, economical efficiency, product and information characteristic, sales promotion, and customer service. Also differences among preference factors appear with following orders, economical efficiency, convenient characteristic, product and information characteristic, sales promotion, and customer service. 2. As the result of the analysis of preference factor for feminine internet fashion shopping mall, it was classified with, fashion information and style, purchase product, economical efficiency, product assortment, and customer service. Also differences among preference factors appear with following orders, fashion information style, product assortment, purchase product, economical efficiency, and customer service. 3. As the result of the analysis of preference factors, convenient characteristic and product information mostly effects to satisfy the customers who use general internet shopping mall. Also purchase product, product assortment, fashion information and style mostly effects to satisfy the customers who use feminine internet fashion shopping mall.
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 considers the effect of smartphone involvement for purchase intentions in fashion shopping malls based on mobile web apps and on PC web apps; in addition, it investigates the correlation between purchase intention in fashion shopping malls (based on activated PC web apps) and those of fashion shopping malls (based on newly created mobile web apps). The results of this study are: First, the analysis of smartphones factors showed that smartphones consist of 6 kinds of dimensions of 'appearance involvement', 'time and information search involvement', 'application involvement', 'entertainment involvement', 'communication involvement', and 'transaction involvement'. Second, the higher the entertainment and transaction involvement among descriptive variables for smartphone involvement were due to the positive responses displayed towards fashion shopping mall purchases based on mobile web apps. Third, a higher application and entertainment involvement in the descriptive variables for smartphones resulted in a positive response displayed for purchases in fashion shopping malls based on PC web apps shown in a regression analysis that verified the smartphone and purchase intention relationship in fashion shopping malls based on PC web apps. Fourth, consumers with high purchase intention in the existing PC web app based fashion shopping malls were shown to have a high purchase intention in mobile web app based fashion shopping malls due to the results of a correlation analysis that analyzed the relationship between purchase intention in PC web app based fashion shopping malls and mobile web app based fashion shopping malls.
This study investigated the effects of smart phone usage motives and fashion brand app factors upon the intention to accept fashion brand applications. Data were collected from 250 female college students living in Seoul and Gyeonggi-do. 220 reliable data were analyzed by frequency, factor analysis, Cronbach's alpha, ANOVA,, Duncan test, paired t-test, chi-square analysis, regression. The results were as follows: Firstly, the 'information acquisition' and the'use of time' were considered to be the most important motive factors driving consumer's smart phone usage. Secondly, the motives underpinning smart phone user's intention to accept a fashion brand application were 'social relationships', 'entertainment', and 'information acquisition'. Thirdly, the frequently used factors during the usage of fashion brand application could be classified in order of frequency as follows: 'product information provision', 'store information provision', 'coordinated information provision', 'fashion information provision', 'entertainment provision', 'hobbies and life information provision', virtual wearing provision', 'SNS provision', and, 'events and coupons provision'. Fourthly, a factor analysis of these nine factors were classified into 'basic information type', and 'additional information type'. The influences of basic information type and the additional information type upon the intention to accept the fashion brand application showed the following significant result: The basic information type had a greater influence upon the intention to accept the fashion brand app.
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