본 연구의 목적은 S-O-R 모델을 기반으로 가상패션쇼 관련 의류 제 품에 대한 소비자 구매의도의 영향 요인을 탐구하고 향후 가상패션쇼의 기획과 홍보, 의류 제품의 전시를 위한 이론적 근거와 시사점을 제시하 는 데 있다. 연구 목적을 달성하기 위해 본 연구는 S-O-R 모델을 기반 으로 사회적 영향, 의류 특징, 브랜드 명성, 의류 품질, 촉진 조건, 전시 효과, 인지와 감정 변수를 활용하여 가상패션쇼 의류 제품에 대한 소비 자 구매의도 모델을 구축했다. 정량 분석 방법을 이용하여 구축된 모델 을 검증하고 소비자 구매의도의 영향 요인을 밝혔다. 연구 결과에 따르 면 사회적 영향, 의류 특징, 브랜드 명성, 의류 품질, 촉진 요소, 전시 효 과가 소비자 인지와 감정에 유의미한 정(+)적인 영향을 미치는 것으로 나타났다. 그리고 소비자 인지와 감정은 가상패션쇼 의류 제품에 대한 구매의도를 높일 수 있음을 검증했다.

This study analyzed differences in the purchase satisfaction and repurchase intention of customers who buy clothing products from online platforms. The participants were teenage individuals to those in their 50s residing in Busan, Ulsan, and Gyeongsangnam-do. The data were examined via factor analysis, a t-test, Analysis of variance(ANOVA), Duncan’s multiple range test, two-way ANOVA, and linear regression analysis. The factors for satisfaction with clothing products from online platforms were wearing comfort and quality, design, and price and purchase convenience. The findings revealed that purchase satisfaction based on these factors significantly varied among the participants depending on marital status, age, and occupation. Satisfaction with wearing comfort, quality, and design differed by gender. Satisfaction with wearing comfort, quality, and price and purchase convenience varied by type of purchase and type of online platforms. The interaction effects among the variables that affected purchase satisfaction were as follows. The interaction effects among the variables for wearing comfort and quality showed significant interactions between gender and type of purchase and between occupation and type of online platforms. Those for design showed significant interactions between marital status and age, between age and occupation, and so on. The interaction effects for price and purchase convenience showed significant interactions between marital status and gender and between age and occupation. The results on repurchase intention showed significant differences in such intention by marital status, age, and occupation. Repurchase intention was influenced by wearing comfort and quality, price and purchase convenience, design, and age.

This study aims to analyze the variations in online clothing purchasing patterns based on demographic attributes and purchasing behavior. The survey subjects comprised individuals in their 10s to 50s who had prior experience with online shopping. The survey was conducted in Gyungnam from May to June 2022. A total of 397 questionnaires were analyzed using the χ2-test statistical method. The analysis of clothing purchase type based on demographic characteristics revealed differences in terms of gender, marital status, age, monthly income, and occupation. Notably, when analyzed by demographic characteristics and clothing purchase types, monthly online purchase frequency displayed significant differences in marital status, age, and occupation. Similarly, monthly purchase amounts through online platforms exhibited significant variations based on marital status, age, monthly income, and occupation. The online fashion platforms, when examined in relation to demographic characteristics and purchase types, showed significant differences across all variables. Clothing purchases by consumers seeking individuality and differentiation exhibited significant differences in age, occupation, and purchase types. Furthermore, the reasons for choosing online platforms for clothing purchases varied significantly based on age and occupation. These findings indicate diverse purchasing behaviors on online platforms influenced by demographic characteristics. These findings can be valuable for effectively segmenting the online fashion market.

The aim of this study was to explore the effect of combinations of diverse methods notifying price discounts (i.e., reference price, odd price, and discount rate signs) and the relationships among product attribute perception, discount perception, attitude toward product, and purchase intention of product. Experiments were conducted where 12 stimuli of different price discount information notifications regarding T-shirt advertisements were presented to 352 informants. The results showed that notification of each type of discount information increased discount perception, whereas no effect due to the size of letters used in the discount rate notification was found. As more price discount information notifications were used, discount perception tended to become stronger. The results of ANOVA analysis show that both product attribute perception and discount perception affected attitude toward the product. In addition, product purchase intention was determined by attitude toward the product as well as price discount perception. Based on these findings, marketers may want to use a combination of methods of price discount notifications in advertisements to deliver price discount information clearly to consumers. Confirmation of discount information using multiple cues would help consumers to notice and perceive price discount information provided by retailers more effectively. Discount information is crucial for increasing both purchase intention and favorable attitude, therefore, diverse strategies regarding discount information presentations should be developed, tested and applied in the real world of retailing.

The purpose of this study is to utilize technology as basic data for smart clothing product research and development. This technology can recognize user's motion according to characteristics types and functions of wearable smart clothing products. In order to analyze the case of motion recognition products, we searched for previous research data and cases referred to as major keywords in leading search engines, Google and Naver. Among the searched cases, information on the characteristics and major functions of the 42 final products selected on the market are examined in detail. Motion recognition for smart clothing products is classified into four body types: head & face, body, arms & hands, and legs & feet. Smart clothing products was developed with various items, such as hats, glasses, bras, shirts, pants, bracelets, rings, socks, shoes, etc., It was divided into four functions health care type for prevention of injuries, health monitor, posture correction, sports type for heartbeat and exercise monitor, exercise coaching, posture correction, convenience for smart controller and security and entertainment type for pleasure. The function of the motion recognition smart clothing product discussed in this study will be a useful reference when designing a motion recognition smart clothing product that is blended with IT technology.

The purpose of this study is to utilize technology as basic data for smart clothing product research and development. This technology can recognize user's motion according to characteristics types and functions of wearable smart clothing products. In order to analyze the case of motion recognition products, we searched for previous research data and cases referred to as major keywords in leading search engines, Google and Naver. Among the searched cases, information on the characteristics and major functions of the 42 final products selected on the market are examined in detail. Motion recognition for smart clothing products is classified into four body types: head & face, body, arms & hands, and legs & feet. Smart clothing products was developed with various items, such as hats, glasses, bras, shirts, pants, bracelets, rings, socks, shoes, etc., It was divided into four functions health care type for prevention of injuries, health monitor, posture correction, sports type for heartbeat and exercise monitor, exercise coaching, posture correction, convenience for smart controller and security and entertainment type for pleasure. The function of the motion recognition smart clothing product discussed in this study will be a useful reference when designing a motion recognition smart clothing product that is blended with IT technology.

패션소재로서의 유용성을 결정하는 속성을 두께, 무게, 밀도, 광택, 색상 등으로 한정한 후 다속성 모델을 구축하였다. 각 속성들의 가중치는 의류 매장의 방문객 대상의 설문 조사에 의해 결정되었으며, 한 소재의 최종가치는 퍼지 추론 시스템에 의해 계산되었다. 구축된 "퍼지-다속성" 모델을 이용하여 패션소재의 총 가치를 i) 품질로부터의 가치, ii) 품질을 기반으로 부가되는 가치, iii) 품질과는 무관하게 형성되는 브랜드 가치의 세 가지 요소를 분해하였다. 시중의 유명 스포츠 의류 브랜드 2종을 선정하여 위의 모델을 적용하였다.모델을 적용하였다.