• Journal of the Korean Society of Clothing and Textiles
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• v.42 no.5
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• pp.855-870
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• 2018

This study analyzes and categorize the types of digital signage content using the case study method as well as explores the moderating effects of digital signage content in the relationship between digital signage attributes and consumer's flow using the empirical study method. For a case study, the total of 38 fashion brands, including 10 designer brands, 14 sports and outdoor brands, 6 casual brands and 8 SPA brands were investigated. For an empirical study, the virtual store with two types of digital signage contents was developed. Then, the online survey was conducted with 20s to 40s respondents and a total of 544 responses were analyzed using SPSS 24.0. The study results were as follows. First, digital signage in fashion store were categorized into four types by its content; brand-centric type, product-centric type, compound type, and promotional type. Second, digital signage consists of three attributes such as attractiveness, informativity, and entertainment. Third, the results showed that attractiveness and entertainment had a significant effect on consumer's flow. The type of digital signage content was also shown to moderate the influence of attractiveness and consumer's flow.

• Journal of the Korean Society of Clothing and Textiles
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• v.25 no.9
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• pp.1621-1632
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• 2001

본 연구는 소비자의 실제적인 의복 소비 행동을 설명할수 있는 가치 개념을 제시하기 위하여 의복 소비가치의 구체적 유형을 밝히고, 적합하고 신뢰성 있는 의복 소비가치 척도를 구성 할 수 있는 기초자료를 제시 하고자 하였다. 본 연구에서는 Sheth(1991)의 소비 가치 이론과 의류학 및 소비자 행동분야의 다양한 이론을 토대로 초점집단면접(Focus Group Interview)을 통하여 소비가치에 대한 탐색적 접근을 시도한 결과를 논의하였다. 의복의 구매와 착용의 선택상황에 영향을 미치는 소비가치는 Sheth(1991)의 5가지 소비가치 유형인 기능적 가치, 사회적 가치, 감정적 가치, 진귀적 가치, 상황적 가치 및 의복제품의 특성에 따른 자기표현적 가치로 분류되었다. 기능적 가치는 물리적 속성, 물리적 기능, 도구적 성과와 관련되었으며, 사회적 가치는 사회계층, 준거집단, 인구통계 적 특성 집단, 문화-민족적 집단과의 관련성 에 대 한 가치로 구성되었다. 감정적 가치는 긍정적, 부정적 감정 및 심미성 요인으로 구성되었으며, 진취적 가치는 다양성추구행동 요인 및 유행성의. 새로움 추구 요인과 관련되었다 또한 상황적 가치는 의복착용상황, 구매상황, 커뮤니케이션 상황으로 구성되었으며, 자기표현적 가치는 성격, 이미지 표현, 개성추구, 유행추구 등의 요인으로 구성되었다. 본 연구의 이러한 결과를 바탕으로 소비가치에 대한 양적 연구를 실시한다면, 보다 객관적인 구조를 파악하고 신뢰성 있는 측정 문항을 개발할 수 있을 것이다.

• Journal of the Korean Society of Clothing and Textiles
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• v.20 no.1
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• pp.28-42
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• 1996

The purposes of this sturfy were 1) to examine the difference between cognitive and actual age, 2) to understand apparel shopping orientations and the importance of store attributes related to cognitive age and 3) to identify relationship.; between apparel shopping orientations and importance of store attribute, ; in cognitively younger and older groups For the study, questionnaires were administered to 450 elderly women over 55 years of age. The questionnaires were designed to mea, ;ore apparel shopping orientations (hedonic, store loyal and brand conscious, careful and planned, confidented and independent, and economic shopping), importance of store attributes, cognitive age and demographics. Using a base of 204 women, data was analyzed by using descriptive statistics, t-test and correlation coeffictents. The results of this study weve summarized as follows. 1. The older women saw themselves on average 6. 6 years younger than they really were 77.6% of the respondents blieved themselves to be cognitively younger 2 Cognitively younger women were more hedonic and less carefull and planned than cognitively older women in apparel Shopping. 3. Cognitively older women thought that proximity and private dressing rooms in apparel stores were mote important attributes than cognitively younger women. In terms of apparel store attributes, older consumers placed importances on product quality, fit and size, design suited to their age, attractive price, and the availability to return unsatisfactory products, in orders.

• Fashion & Textile Research Journal
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• v.10 no.2
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• pp.164-172
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• 2008

This study explores the attributes of the on-line shopping products and prices, and their effects on the customer satisfaction. In doing so, the sample population has been segmented according to their shopping propensity of consumption on clothing to understand the group differences. Based on the previous researches, the researcher have chosen four important characteristics of the customer's shopping propensity. The number of iteration on factor analysis revealed that the sample population can be classified into three different groups; the convenience/pleasure-seeking group, the fashion/utility-seeking group, and the unconcerned group. The significant group differences resulted on the following study variables; the product assortment, the price rationality, and the value of the price. Also, from the product aspect, the characteristic, the assortment, and the expression in order, explained the significant portion of the Y variance. While, on the aspect of price, the rationality, and information in order, significantly contributed on the customer satisfaction.

• Fashion & Textile Research Journal
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• v.23 no.4
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• pp.480-490
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• 2021

Sales forecasting is crucial for many retail operations. For apparel retailers, accurate sales forecast for the next season is critical to properly manage inventory and plan their supply chains. The challenge in this increases because apparel products are always new for the next season, have numerous variations, short life cycles, long lead times, and seasonal trends. In this study, a sales forecasting model is proposed for apparel products using machine learning techniques. The sales data pertaining to outerwear items for four years were collected from a Korean sports brand and filtered with outliers. Subsequently, the data were standardized by removing the effects of exogenous variables. The sales patterns of outerwear items were clustered by applying K-means clustering, and outerwear attributes associated with the specific sales-pattern type were determined by using a decision tree classifier. Six types of sales pattern clusters were derived and classified using a hybrid model of clustering and decision tree algorithm, and finally, the relationship between outerwear attributes and sales patterns was revealed. Each sales pattern can be used to predict stock-keeping-unit-level sales based on item attributes.

• Journal of Distribution Research
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• v.6 no.1
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• pp.1-21
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• 2001

This study introduced the components of apparel store, which include product and service factor to reflect the modified conception of service. The purposes of this study were to investigate the dimensions of the components of apparel store and to examine consumers' rating of importance on the components of apparel store. In addition, this study explored the effect of clothing involvement and demographic variables on importance perception. Data were collected via a questionnaire from young adult females in their twenties. The results of this study revealed five dimensions of service factor: environmental service, salesperson service, attitude and policy service related to exchange and refund, policy service related to promotion, and policy service related to convenience. Factors related to product were identified price, quality, variety, fashion, design and brand. Attitude and policy service related to exchange and refund is the most important factor that consumer perceived. Salesperson service and product quality were the second important factors. The relatively important factor in each service dimension was this : display in the environmental service, the ability of salesperson to resolve customer's complaints in the salesperson service, sales person’s courtesy in managing exchange or refund in policy service. Clothing involvement and demographic variables do affect consumers’perception on importance.

• Journal of Global Scholars of Marketing Science
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• v.18 no.2
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• pp.89-111
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• 2008

Due to the development of digital technology, studies regarding smart wear integrating daily life have rapidly increased. However, consumer research about perception and attitude toward smart clothing hardly could find. The purpose of this study was to identify innovative characteristics and perceived risk of smart clothing and to analyze the influences of theses factors on product attitudes and intention to adopt. Specifically, five hypotheses were established. H1: Perceived attributes of smart clothing except for complexity would have positive relations to product attitude or purchase intention, while complexity would be opposite. H2: Product attitude would have positive relation to purchase intention. H3: Product attitude would have a mediating effect between perceived attributes and purchase intention. H4: Perceived risks of smart clothing would have negative relations to perceived attributes except for complexity, and positive relations to complexity. H5: Product attitude would have a mediating effect between perceived risks and purchase intention. A self-administered questionnaire was developed based on previous studies. After pretest, the data were collected during September, 2006, from university students in Korea who were relatively sensitive to innovative products. A total of 300 final useful questionnaire were analyzed by SPSS 13.0 program. About 60.3% were male with the mean age of 21.3 years old. About 59.3% reported that they were aware of smart clothing, but only 9 respondents purchased it. The mean of attitudes toward smart clothing and purchase intention was 2.96 (SD=.56) and 2.63 (SD=.65) respectively. Factor analysis using principal components with varimax rotation was conducted to identify perceived attribute and perceived risk dimensions. Perceived attributes of smart wear were categorized into relative advantage (including compatibility), observability (including triability), and complexity. Perceived risks were identified into physical/performance risk, social psychological risk, time loss risk, and economic risk. Regression analysis was conducted to test five hypotheses. Relative advantage and observability were significant predictors of product attitude (adj $R^2$=.223) and purchase intention (adj $R^2$=.221). Complexity showed negative influence on product attitude. Product attitude presented significant relation to purchase intention (adj $R^2$=.692) and partial mediating effect between perceived attributes and purchase intention (adj $R^2$=.698). Therefore hypothesis one to three were accepted. In order to test hypothesis four, four dimensions of perceived risk and demographic variables (age, gender, monthly household income, awareness of smart clothing, and purchase experience) were entered as independent variables in the regression models. Social psychological risk, economic risk, and gender (female) were significant to predict relative advantage (adj $R^2$=.276). When perceived observability was a dependent variable, social psychological risk, time loss risk, physical/performance risk, and age (younger) were significant in order (adj $R^2$=.144). However, physical/performance risk was positively related to observability. The more Koreans seemed to be observable of smart clothing, the more increased the probability of physical harm or performance problems received. Complexity was predicted by product awareness, social psychological risk, economic risk, and purchase experience in order (adj $R^2$=.114). Product awareness was negatively related to complexity, meaning high level of product awareness would reduce complexity of smart clothing. However, purchase experience presented positive relation with complexity. It appears that consumers can perceive high level of complexity when they are actually consuming smart clothing in real life. Risk variables were positively related with complexity. That is, in order to decrease complexity, it is also necessary to consider minimizing anxiety factors about social psychological wound or loss of money. Thus, hypothesis 4 was partially accepted. Finally, in testing hypothesis 5, social psychological risk and economic risk were significant predictors for product attitude (adj $R^2$=.122) and purchase intention (adj $R^2$=.099) respectively. When attitude variable was included with risk variables as independent variables in the regression model to predict purchase intention, only attitude variable was significant (adj $R^2$=.691). Thus attitude variable presented full mediating effect between perceived risks and purchase intention, and hypothesis 5 was accepted. Findings would provide guidelines for fashion and electronic businesses who aim to create and strengthen positive attitude toward smart clothing. Marketers need to consider not only functional feature of smart clothing, but also practical and aesthetic attributes, since appropriateness for social norm or self image would reduce uncertainty of psychological or social risk, which increase relative advantage of smart clothing. Actually social psychological risk was significantly associated to relative advantage. Economic risk is negatively associated with product attitudes as well as purchase intention, suggesting that smart-wear developers have to reflect on price ranges of potential adopters. It will be effective to utilize the findings associated with complexity when marketers in US plan communication strategy.

• Journal of the Korea Fashion and Costume Design Association
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• v.14 no.3
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• pp.161-176
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• 2012

This study aims to find out the influence of satisfaction of the product and shopping mall attributes on mall reliability, repurchase intention, and recommendation intention in internet open market. For this purpose, this study surveyed 266 male and female consumers in their 20's~40's for empirical analysis who have ever purchased clothing through internet open markets. Respondents are selected using the convenience sampling through online survey in August 2011. For statistical analysis, descriptive statistics, reliability analysis, factor analysis, t-test, ANOVA, and regression analysis are carried out using SPSS for Windows 12.0. The results are as follows; First, it was identified that there were Significant differences in consumers' satisfaction on product and shopping mall attributes according to purchase price, degree of purchase, and the demographics. Second, it was identified that performance, sewing condition, the stability of the form, texture, harmony with other clothes, the response of people, fashionability, seller, origin, detailed explanation on products, interaction with shopping malls, and ease-of-use have significant influence on the reliability of open market. Third, it was identified that easiness to be active in, the stability of the food, design, suitability to T.P.O, price, origin, detailed explanation on products, product assortment, reputation of shopping malls, ease-of-use, and delivery charge policy have significant influence on the repurchase intention. Fourth, it was identified that easiness to be active in, the stability of the form, design, suitability to T.P.O, price, origin, detailed explanation on products, product assortment, reputation of shopping malls, ease-of-use, and delivery charge policy have significant influence on the intention to recommend.

• Fashion & Textile Research Journal
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• v.16 no.4
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• pp.554-563
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• 2014

The purpose of this study was to investigate the purchase behavior, the level of shopping satisfaction for inbound Chinese tourists buying fashion products and the analysis of the influence of fashion product purchase criteria and effects of store attributes toward shopping satisfaction in Korea. Subjects were selected through convenient sampling technique in Incheon International Airport. A self-administered questionnaire was developed in Chinese by translation and back-translation method. Finally, 284 questionnaire out of 420 were used for data analysis. To analyze data, factor analysis, correlation analysis, regression analysis, etc. were carried out. A used statistical package was PASW 18.0. The analysis results were as follows. First, most of the repondents were women in 20s and 30s, who were purchasing fashion products more than other during the period of travel. Second, the product purchase criteria were identified as 'practicality', 'design and quality', 'memorabilia' and 'hallyu'. As the analysis results, shopping satisfaction was influenced by 'design and quality' and 'hallyu'. Thirdly, the effects of store attributes were identified as 'product', 'environment' and 'employees'. and customer's shopping satisfaction was influenced by all of those. By the end of this paper, For the purpose of achieving more competitive fashion products, the 4P marketing strategies targeting Chinese tourists were discussed based on the results.

• Fashion & Textile Research Journal
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• v.17 no.6
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• pp.932-941
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• 2015

An aging population and increasing consumer demand for high-quality and innovative new products are key drivers for growth in the cosmeceutical industry. Cosmeceuticals are defined as products with biologically active ingredients that have a measurable effect on the user. This study explored the effects of shopping orientation and store attributes on impulse buying behavior for cosmeceuticals. We obtained 437 usable questionnaires from university students who had purchased cosmeceutical products. Data analysis was conducted using confirmatory factor analysis and structural equation modeling analysis via AMOS 18.0. The findings were: 1) hedonic shopping orientation and convenience shopping orientation had positive effects on product efficacy and promotion of the cosmeceutical store 2) brand shopping orientation had a positive effects on store atmospheric, skin care service, and brand of the cosmeceuticals store and 3) product efficacy and promotion of store attributes had a direct effect on impulse buying behavior for cosmeceuticals. Consumers who tended to enjoy the shopping to refresh themselves and to experience convenient shopping were likely to purchase cosmeceuticals impulsively, which mediated by the store attributes (product efficacy and promotion). Therefore, we confirmed partly causal relationships among the shopping orientation, store attributes, and impulse buying behavior of cosmeceuticals. Both managerial and theoretical implication for practitioners and researchers were discussed for managing product information more efficiently along with promotion strategies to trigger cosmeceuticals consumers in the context of shopping.