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.

With the expansion of various distribution channels in online and offline stores, TV, and mobile, consumers now have more information search and retail selection channels to choose from than ever before. Major retailers now use multi- and omni-channel strategies. This study focused on cross-channel consumption, which involves the use of different information search and purchase channels. Using crosschannel consumption, consumers can search for information online and then make purchases offline and vice versa. The purpose of this study was to examine the relationship between channel strategies and other consumer variables, and the study also assessed the effect of product type. To conduct this empirical study, the researchers developed a consumer questionnaire concerning three consumer channel strategies-on-on, cross, and off-off-and four product categories-clothing, cosmetics, books, and electronics. The results indicated that gender and marital status did not influence consumer channel strategies, but that age did have a significant influence. The analysis showed that consumers in their 40s preferred the cross channel strategy, perceiving it to be effective, satisfactory, and rewarding. Compared to other products, clothing products showed higher levels of cross channel strategies. Consumers indicated that they prefer searching for information online and then purchasing clothing offline. Overall, clothing products generated higher levels of channel satisfaction and channel switch intentions. Cross-channel clothing shoppers reported effective information retrieval times but longer delivery times.

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.

The purpose of this study was to investigate meteorological factors’ effects on clothing sales based on empirical data from a leading apparel company. The daily sales data were aggregated from “A” company’s store records for the Fall/Winter season from 2012 to 2015. Daily weather data corresponding to sales volume data were collected from the Korea Meteorological Administration. The weekend effect and meteorological factors including temperature, wind, humidity, rainfall, fine dust, sea level pressure, and sunshine hours were selected as independent variables to calculate their effects on A company’s apparel sales volume. The analysis used a SAS program including correlation analysis, t-test, and multiple-regression analysis. The study results were: First, the weekend effect was the most influential factor affecting sales volume, followed by fine dust and temperature. Second, there were significant differences in the independent variables’effects on sales volume according to the garments’ classification. Third, temperature significantly affected outer garments’sales volume, while top garments’ sales volume was not influenced significantly. Fourth, humidity, sea level pressure and sunshine affected sales volume partly according to the garments’ item. This study can provide proof of significant relationships between meteorological factors and the sales volume of garments, which will serve well to establish better inventory strategies.

본 연구는 기업과 소비자 간의 기능성 의류제품의 효과적인 정보소통을 목적으로 하는 일련의 연구 중 일부로 기능성 아웃도어 재킷에 대한 인식과 행동양식에 따라 응답자를 유형화하고 각 유형별 기능성 아웃도어 재킷 구매 시 활용하는 정보원과 행택에 대한 행동의 차이를 고찰하였다. 설문조사는 기능성 아웃도어 재킷 구매 경험이 있는 20∼60대 남, 녀 472명을 대상으로 실시하였다. 기능성 아웃도어 재킷에 대한 인식은 ‘기능성’, ‘가격’, ‘경험/지식’, ‘브랜드/디자인’ 요인으로 분류되었으며 요인에 따라 응답자들은 ‘비전문적/브랜드 및 디자인 추구집단’, ‘전문적/기능 성 중시집단’, ‘고가제품 선호집단’으로 분류되었다. ‘비전문적/브랜드 및 디자인 추구집단’은 인터넷을 정보를 가장 많이 활용하는 20대, 30대의 회사원과 학생으로 구성되었으며 ‘전문적/기능성 중시집단’의 경우에는 행택(Hang-Tag) 을 정보원으로 주로 사용하는 전문직의 40대, 50대가 주를 이루었다. ‘고가제품 선호집단’은 60대 이상, 주부의 비율이 가장 높은 집단으로 판매원을 정보원으로 주로 이용하는 것으로 나타났다. 기능성 정보제공에 사용된 용어에 대해 설명의 필요성을 가장 높게 인식하고 있는 집단은 ‘전문적/기능성 중시집단’이었으며 성능정보 관심도가 떨어지는 ‘비전문적/브랜드 및 디자인 추구집단’은 오히려 상대적 만족도가 높은 것으로 나타났다. 본 연구를 통해 기능성 재킷 소비자 유형의 특징과 성능 정보에 대한 반응의 차이를 고찰함으로써 기능성 의류제품의 성능 정보 제공을 위한 효과적 인 방법과 내용에 대한 실질적이고 유용한 정보를 제공할 수 있을 것으로 기대한다.

The aims of this study were to identify the dimensions of both store and PB apparel product attributes at large discount stores, and to empirically examine the effects of each dimension of store and PB apparel product attributes on satisfaction with PB apparel products and on repurchase intension. Questionnaires were given to 264 large discount store customers, who have experienced buying PB apparel products at large discount stores. The results were as follows. First, purchased PB items and image, improvement of PB apparel products showed differences by gender. Second, the dimensions for store attributes were categorized as convenient of shopping environment, product quality, customer service, advertising reach, convenient location, and reasonable prices. The PB apparel product attributes were categorized as material handling management, quality, fashion ability, and brand power. Third, generally, both store and PB apparel product attributes at large discount stores are significantly related to PB apparel satisfaction and repurchase intention. PB satisfaction and repurchase intention of males were partly affected by store attributes and PB apparel product attributes. PB satisfaction and repurchasing intention of females, however, were partly affected by only PB apparel product attributes, not store attributes.

본 연구의 목적은 유연 광섬유의 스마트 의류용 로고 디자인을 개발하기 위한 디자인 지침을 도출하는 것이다. 로고 디자인을 위한 지침 도출의 기준은, 첫째 광섬유 전면에 걸쳐 적절한 밝기 정도를 나타내는지의 여부, 둘째 광섬유 전면에 걸쳐 비교적 균일한 밝기 특성을 나타내는가 등이었다. 이를 위하여, 실험 1에서는 광섬유사의 각도 변화와 길이에 따른 유연 광섬유의 밝기 특성을 분석하였으며, 실험 2에서는 실제 의류용 로고 디자인을 위한 지침을 도출하기 위해, 알파벳 대문자의 주요 형태소 등의 유연 광섬유 밝기 특성을 분석하였다. 두 개의 실험 결과를 토대로 하여, 유연 광섬유로 구성된 의류용 로고 디자인을 위한 지침과 제한점을 도출하였다.

As directly imported apparel brands are actively entering the domestic market, studies of the marketing aspects of these imported apparel products and their overall consumption trend have been done. However, studies of whether are not the directly imported apparel products provide Korean consumers with an appropriate fit are not as common. Therefore, this study investigates the satisfaction with and problems associated with the fit along with the recognition of and preference for directly imported US apparel brands. 100 female college students who purchased directly imported US apparel brands participated in a survey. The results of this survey showed that their recognition of, preference for, possession rate of and satisfaction with the directly imported US apparel brands tend to be high. The major purchasing motivations were the excellent ‘design’ and ‘color’ of the products. The subjects reported that they were satisfied with the quality of ‘materials’ and ‘sewing condition’. However, they were not satisfied with the ‘comfort’ or the ‘size’. Their level of satisfaction with the fit of these products differed depending on the specific item. Their level of satisfaction with the fit of T-shirts and knits was high, whereas the level for pants was relatively low. They complained mostly about the sleeve length and garment length of upper-body garments and coats. They were not satisfied with how the pants fit. The areas of dissatisfaction regarding the pants were the waist girth, the crotch length and the pants length.

The purpose of this study was to examine the post-purchasing behavior focusing on dissatisfaction and complaint behavior. There were some studies concerning dissatisfaction in on-line shopping related to satisfaction and intention to re-buying, but did not focus the relationship with complaint behavior, or identified the factors specifically related to consumer's dissatisfaction. In this study, it was examined to minimize the consumer's dissatisfaction and complaint behavior by investigating the detailed factors relating dissatisfactions and complaint behaviors after shopping apparel goods on the internet. Two hundred fifty five customers who had purchased fashion products in internet shopping had participated in this study. The data was analyzed by factor analysis, regression analysis using SPSS program. As the result, first, product, delivery, returning and price factor were extracted as factors of dissatisfaction, and as factors of complaint behavior, legal action, private action, remedial action were investigated. Second, dissatisfaction was significantly effected on complaint behavior. Specially, returning factor and price factor had effect on legal action, product, delivery factor had on private action and returning factor had affected remedial action. Third, more purchasing frequency, less dissatisfaction. Also, female had more dissatisfaction than male. Finally, more dissatisfaction and compliant behavior, less repurchasing intention. Based on these results, internet shopping fashion marketing strategies were suggested.

The purpose of this study is to understand factors of risk perception and purchase obstruction by consumer characteristics and purchase experience of clothing in online. The collection of the research materials was progressed by online and offline. Out of 374 usable questionnaires used for examining this study, 278 questionnaires were collected from offline and 107 questionnaires were collected from online. Frequency analysis, factor analysis, reliability analysis, t-test, One-way ANOVA and multiple regression analysis using SPSS WIN 12.0 were conducted. Three factors of perceived risk were extracted: harmonic/image, quality/shopping process, payments. Based on these dimensions, ANOVA was conducted. The results indicated that the more purchasing experience people had, the less the extent of perceived risk they got, and quality/shopping process risk mostly among them. As the factors which obstruct purchasing decision, a security obstruction, a reliability obstruction, a convenient obstruction and an information insufficient obstruction are extracted. Also, the factors have got the result of same aspects as the perceived risk recognized by the Internet shopping experience. Meaningful differences between groups appear at security obstruction, reliability obstruction, and convenient obstruction. Perceived risk almost influenced on purchase obstruction when purchasing clothes in Internet shopping mall. When consumers perceiving harmony/image risk highly make decisions, they usually hesitate or abandon due to reliability obstruction, convenient obstruction. All the factors: including security obstruction, reliability obstruction, convenient obstruction and information insufficient obstruction made consumers perceiving quality/shopping process risk highly obstruct purchase decision.

Clothing exports of Korea have been steadily declining since 1990, but its international competitiveness will be continued in the future because of its history and technology. The purpose of this study is to find out the characteristics of knitted clothing exports of Korea compared to China. Statistical data of knitted clothing articles(HS 61) 2000～2008 were used for analyses. The results of the study were as follows: First, the proportion of knitted clothing export out of the total clothing export has been consistently increased in Korea and China both, it is similar now. Second, export articles of large proportion are different between Korea and China. Socks, gloves and fancy goods became major export articles in Korea and men's and women's clothing in China in late 2000's. Third, the unit price of Korean export clothing is higher than that of Chinese from two to ten times. Generally the growth rate of unit prices of Korea outpaced that of China. The results of this study will help Korean export firms to develop competitive export articles and make out export strategy.

본 연구에서는 TAM을 적용하여 혁신적인 의류 제품인 스마트 의류에 대한 소비자의 태도와 수용의도를 설명하고자 하였다. 이를 위해 상용화된 스마트 의류 제품을 대상으로 소비자들의 수용도에 대한 연구모형을 수립하였고, 선행연구들을 근거로 각 구성 요인 간의 관계에 대해 연구가설을 설정하였으며, 그 경로가설을 검증하였다. 이를 위해 확인적 요인분석, 상관관계분석과 스마트 의류 수용과정의 경로를 검증하기 위한 공분산 구조모형을 구성하였고, AMOS 5.0 package를 사용하여, 온라인 설문을 통해 얻은 557부의 유효 표본을 분석하였다. Davis(1989)가 제안한 TAM에, 스마트 의류 제품들의 판매 가격을 고려한 지각된 가치 변수를 적용하여 스마트 의류의 수용과정을 설명한 결과 모형의 적합성을 입증하였으며, 8개의 경로가설 중 6개의 경로가 통계적으로 유의함이 밝혀져 채택되었다. 그 결과는 다음과 같다. 첫째, 지각된 사용용이성은 유용성을 거쳐 태도에 간접적으로 영향을 주었고, 태도는 다시 수용의도에 영향을 주는 것으로 나타났다. 둘째, 지각된 유용성은 지각된 가치에 대한 태도에 영향을 주는 것으로 나타났으나, 스마트 의류의 수용의도에는 영향을 미치지 않는 것으로 분석되었다. 셋째, 지각된 가치가 스마트 의류에 대한 태도와 수용의도에 둘 다 영향을 미치는 것으로 나타났다. 넷째, 스마트 의류에 대한 태도는 구매의도에 영향을 미치는 것으로 나타났다.