• 한국의류학회지
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• 제35권12호
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• pp.1440-1453
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• 2011

Proper consumer segmentation is receiving more attention from industry professionals as markets become more diverse and consumer-centered. Researchers have recognized the limitations of the traditional cluster analysis technique and this research study analyzes market segmentation using Mixture-model or latent-class segmentation. This study used a questionnaire to determine the characteristics of clothing shoppers using a new technique that proved its superiority over traditional techniques. Questions included items measuring fashion shopping behavior, store choice criteria, apparel consumption styles, price perception by product type, and demographic characteristics. Data were collected from 1074 males and females in their 20s and 30s through an online survey. SPSS 16.0 and Latent GOLD 4.0 were used to analyze the data. The ideal typology of clothing shoppers using the Mixture-model were: 'brand loyalty orientated group', 'group of conservative late 30s', 'group of pleasure-emotion early 20s', 'value oriented consumer product with high-income group', 'group of eco/symbol oriented consumer', and 'group of utility/goal oriented male consumer'. This study showed differences in fashion product purchasing behavior by conducting market segmentation for clothing shoppers using the Mixture-model.

• 한국의류학회지
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• 제32권7호
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• pp.1023-1033
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• 2008

The purpose of this study was to segment home-shopper market by using the demographic characteristics. This study enables a better unders landing of home-shoppers and improving the strategy of marketing. The specific objects of this study are as follow: First, it was to exam market segmentations by demographic factors using mixture model. Second, it was to exam shopping orientations of fashion merchandise according to segmentation groups. The data was collected from 637 subjects who had used the home shopping more than one time in a year. The data was analysised through frequencies, factor analysis, ANOVA, Duncan's mutiple range tests with SPSS 12.0 and Mixture model. The results of data are as follows: 1. The result of market segmentation as demographic factor using Mixture model was extracted to 4 market segments called 20's/ unmarried stage, 30's/ children bearing & rearing stage, 40's/ families with children's education stage, 50's/ aging stage. 2. Shopping orientations were extracted to 5 factors called a pleasure oriented, convenience oriented, off-line oriented, human oriented, thrift oriented.

• 패션비즈니스
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• 제9권4호
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• pp.127-144
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• 2005

The aim of this study is to find out the symbol of clothing decorations in Elsa Schiaparalli's design works and there are four major points due to the aim of this study. Firstly, a fantasy is represented through Surrealistic Arts which creates mysterious, secrete, and surprising spirits. In Surrealistic Arts, the fashion of schiaparelli demonstrates a fantasy spirit by using the methods like metaphor, transformation, and re-positioning. Secondly, In Surrealistic paintings, normally double image or different image from symbol immanent were expressed. However, Elsa Schiaparelli used double and multi-image decorations instead that has well-organized formative effect. The mixture of double images can be separated as symbolic mixture, design mixture and expressive mixture. Thirdly, the body parts has represented symbolism and sensuality in Surrealism Arts. Elsa Schiaparelli has demonstrated the expression of modern clothing as passionate, desirable, and powerful. This is the reason why her designs were absolutely different from the previous sihouette-focused clothing. Fourth, there are lots of intentional decoration that are different from actual images, such as transformation, exaggeration, minimization and repettion, as well as, re-location, re-arrangement, line-up arrangement, collage and odd materials.

• 한국의류학회지
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• 제29권7호
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• pp.997-1007
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• 2005

The textile finishing methods utilizing chitosan have been mostly focused on the applications in the improvement of the dyeing of cotton fabrics, or the improvement of hand of the cotton or wool fabrics. On the other hand, it Is difficult to find the application examples in the synthetic fiber fabrics including polyester and nylon fabrics. The aim of this study is to improve the stiffness and the poor wash fastness of the fabrics treated only with chitosan. We tried to improve the softness by employing chitosan and polyurethane mixture solution and to prevent the detachment of the chitosan from the fabric. The treatment was applied to cotton, polyester, and nylon fabrics. The change of the properties of the treated fabrics were investigated. The optimum finishing condition was sought by changing the mixture ratio of the chitosan/PU(polyurethane) solutions. The adjusted ratios of the chitosan/PU solutions were 1 : 0, 1 : 0.25, 1 : 0.5, and 1 : 2 during the mixture solution preparation. Using the KES(Kawabata Evaluation System), the physical and mechanical properties of the finished fabric specimens were analyzed, and hand values of the specimens were calculated through the use of translational formulas. According to the chemical composition of the fibers, chitosan solution or chitosan/PU mixture exhibited wide range of coating effect. Since the chitosan acid solution has high polarity, the bonding force with the cotton fibers is high. By the appropriate addition of PU in the chitosan treatment of cotton, KOSHI and HARI values of the fabric improved. The air permeability of the chitosan/PU treated cotton fabric specimen improved, resulting in the highest value at the mixture of chitosan : PU=1:0.25.

• 한국의류학회지
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• 제33권4호
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• pp.644-654
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• 2009

The purpose of this study is to analyze the characteristics of current fashion illustrations within the framework of Multi-space method. Multi-space means being piled up one moment & space on others, and being amassed in a scene. This method is related with Dadaism, Surrealism and Postmodernism, and also influences on the current fashion illustration. In this study, the types of Multi-space method could be classified into 4 types; Repetitive Time Mixture in Multi-space, Juxtaposed Time Mixture in Multi-space, Reiterated Space Mixture in Multi-space, Projected Space Mixture in Multi-space. The characteristics of Multi-space were analyzed and the results are as followed. The distinctive methods for Time Mixture in Multi-space are repetition and juxtaposition in a scene. Time Mixture in Multi-space can make the nonlinear narration and unreal illusory space in fashion illustrations more effectively. Reiterated Space Mixture in Multi-space can be related with the heterogeneous, surrealistic illusions in current fashion illustrations. Projected Space Mixture in Multi-space can be characterized into inter-penetration. It can derive spectators to mix the projected & transparent images in a scene for their own imaginary stories. The final imagination can be made differently according to the personal experiences of spectators.

• 한국의류학회지
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• 제37권7호
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• pp.962-971
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• 2013

We compared the effectiveness of amidase (amano acylase, AA) and an endopeptidase, (trypsin, TR) in modifying the hydrophobicity of polyamide fabric. We evaluated the number of amino groups released into the reaction mixture in order to optimize the treatment conditions. We found that a large number of amino groups were released into the reaction mixture due to the cleavage of amide bonds by AA hydrolysis; however, the TR hydrolysis exhibited a relatively lower activity compared to AA hydrolysis. In AA and TR hydrolysis, significant differences were observed in the K/S values and moisture regain. Amide bonds in polyamide fabric were hydrolyzed by AA hydrolysis effectively. Compared to TR, AA formed more hydrolysis product (amino groups) on the fabric surface. Thus, the hydrophobicity of polyamide fabric was modified using AA hydrolysis (as verified by the wettability test) without any deterioration of fiber strength.

• 한국의류학회지
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• 제33권12호
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• pp.1924-1934
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• 2009

현대사회의 혼합화 현상과 니트웨어의 수요 증가에 따른 독특한 질감이 요구되어지고 있어 이에 따른 전략적인 방안들이 절실히 요구되고 있다. 본 연구는 세계 4대 컬렉션의 2000~2008년의 여성컬렉션의 횡편 니트 3~8게이지의 자료를 선정, 현대 니트패션에 나타난 혼합현상을 출현 빈도와 표현특성으로 분석하였다. 혼합현상은 상 하위문화의 혼합, 남 여 성의 혼합, 스타일의 혼합, 공간의 혼합, 타소재의 혼합, 기능의 혼합의 순으로 나타났으며, 2004년에 가장 높은 빈도수를 나타냈다. 혼합현상의 표현특성에서 가장 높은 빈도수를 나타낸 상 하위문화의 혼합은 고급스러운 소재, 고상한 무늬와 색상의 상 하위개념의 경계성의 모호와 남 여 성의 혼합은 기능성과 편리성의 추구와 양성성의 공유로 특성을 나타냈다. 스타일의 혼합은 니트패션의 전통적인 형태에서 정형과 비정형의 스타일의 혼합으로 특성을 나타냈고, 공간의 혼합은 니트의 역사가 깊은 북유럽의 전통적 니트문양이 현대적인 요소와 혼합된 특성을 나타내고 있었다. 타소재의 혼합은 장식적인 소재와 본래의 기능적인 용도를 초월하여 부분적으로 혼합되었고, 기능의 혼합은 두 가지 아이템의 용도로 활용 가능한 특성을 나타냈다. 이와 같이 현대 니트패션에 나타난 혼합 현상은 타영역의 혼합으로 상상력이 더해져 그 표현 가능성의 범위가 점차 확대되어 가고 있다.

• 한국의류산업학회지
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• 제6권4호
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• pp.433-439
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• 2004

Hanji costumes has four aspects that allow the creator or artist to create many variations. The pictorial effects of Hanji costumes are produced through variations in the dyes and brushes used for its application. The amount of water and texture of the Hanji mixture also influences the Hanji clothing. This effect was expressed using a dry brush technique, a dripping technique, India inks, and fragments from other Hanji works. A second aspect of Hanji clothing is the coloring effect in the Hanji costumes. The coloring is due to the fibers in the preparation mixture and the uniqueness of the dyes. The Hanji clothing was dyed various colors and patterns by dip dyeing, block dyeing, silk screens, digital printing. The third aspect of Hanji imagination in clothing is the decorative details. The details in Hanji clothing can be seen using frills, pleats, tucks and ribbons. The last variation of Hanji clothing can be expressed through crafting techniques. These techniques are the quality of paper string, cuts in the paper and paste ingredients. With Hanji cloth, it is possible to plait, roll, and crample into other flexible & useful materials.

• 한국의류산업학회지
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• 제10권5호
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• pp.589-600
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• 2008

The purpose of the study was to segment home-shoppers by the Mixture model and to examine the characteristics of the segmented markets. Total 700 copies of questionnaires were distributed to home-shoppers more than 19 years old in Seoul and Busan and analyzed 638 copies with the Mixture model using LatentGold Program. The results of the study were as follows: In the segmented market 1, women in forties and housewives with a lowly educated person purchased for the most part from 10 A.M. to 5 P.M and the study named them as the average home shopping purchaser group. In the segmented market 2, men in twenties and students with a highly educated person often purchased with a small amount of money at 6, 7, 12 P.M and the study named them as the high-satisfaction frequent group purchasing a few goods. In the segmented market 3, professional men in forties with a highly educated person rarely purchased with a lot of amount of money from 8 P.M to 11 P.M and the study named them as low-satisfaction rare group purchasing not a few goods. Marketing strategies and discussion were suggested in detail.

• 한국의류학회지
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• 제26권11호
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• pp.1605-1614
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• 2002

The purpose of this study was to identify the consumers who use the level of price as the indicator of the product quality. In order to implement the purpose of this study, Jeans market had been segmented by the mixture regression model, and price response function was calibrated for each segment. Based on the types of price response function, segments were allocated into one of two groups; the group using the level of price as the quality indicator or the group not using the level of price as that. Then, characteristics of both groups were compared in terms of product attributes and demographic variables. Data were co]looted from the sample of the 23o undergraduate and graduate students in Seoul. For the data analysis, mixture regression model, conjoint analysis, and t-test were used. As a result, jeans market was divided into 5 segments. Segment 1,2,3 were allocated into the group not using the level of price as the quality indicator while segment 4,5 were done into the other group. Significant differences existed between two groups in product attributes, not in demographic variables. Mixture model and conjoint analysis were proved to be an effective set of tools in market segmentation.