한국형아유르베다 성격유형과 의류 구매만족과 어떤 관계가 있는지를 분석함으로써 성격특성을 고려한 마케팅 전략에 대해 논의하는 것이다. 본 연구의 자료는 수도권 여성 20대 이상을 대상으로 다음과 같은 통계 분석을 실시하였다. 첫째, 조사대상자의 일반적 특성을 파악하기 위해 빈 도분석을 실시하였고, 둘째, 측정도구의 타당성 분석을 위해 탐색적 요인 분석을 실시하였다. 또한 Cronbach's α 계수를 이용하여 요인을 구성 하는 항목들의 신뢰도를 분석하였다. 셋째, 한국형 아유르베다 기본심리 유형에 대해 알아보고, 조사대상자의 일반적 특성에 따라 차이가 있는지 파악하기 위해 교차분석을 실시하였다. 넷째, 한국형 아유르베다 기본심 리유형에 따라 고객만족에 차이가 있는지를 알아보기 위하여 일원변량분 석(one-way ANOVA) 및 Scheffe의 사후검정을 실시하였다. 본 연구는 한국형아유르베다 기본심리유형과 고객만족의 관계에서는, 전반적인 고 객만족과 하위요인별 서비스만족에 있어서도 카파형(K)이 상대적으로 높 은 것을 알 수 있었지만, 품질만족에 있어서는 통계적으로 유의미한 차 이가 나타나지 않았다는 것을 알 수 있었다.

본 연구는 한국 여성의류소비자의 한국형아유르베다 성격유형과 의류 구매후기의 관계연구를 하는 것이 목적이며, 이러한 연구 목적을 위해 연구대상은 수도권 거주하는 20대 이상 설문 대상자 542명이었으며, 이 중 최종적으로 불성실한 응답을 제외한 519부를 본연구의 자료로 사용 하였다. SPSS 26프로그램을 통해 주요변수의 타당성, 신뢰성을 확보하 기 위하여 탐색적 요인분석, 인구학적 특성을 확인하기 위해 빈도분석, 성격유형에 따른 구매후기 점수의 차이를 확인하기 위해 세 집단 이상의 평균차이를 확인할 수 있는 일원배치분산분석(One-way ANOVA)을 실 시한 분석결과는 여성소비자의 한국형아유르베다 기본심리유형 중 하나 인 카파형(K)이 피타형(P)에 비해 구매후기를 중요하게 본다는 것을 알 수 있다. 이는 피타형(P)이 카파형(K)에 비해 구매후기를 중시하는 경향 이 낮은 이유는 자기주장이 강하고 주도적이며, 강한신념을 지니고 믿음 이 확고한 성격을 갖고 있는 것과 관계가 있음을 확인할 수 있다. 연령 을 구분하여 분석한 결과, 20~30대에서 유의한 차이가 나타났으며, 사후 검정 결과 피타형(P)의 평균보다 카파형(K)의 평균이 높은 것으로 확인되 었고 다중회귀분석을 통해서도 유사한 결과가 도출되었다. 이는 기성세 대에 비해 20~30대에서 구매후기를 중요시하는 경향은 모바일을 사용한 온라인, 디지털 환경에 익숙하기 때문이라 분석된다. 따라서 본 연구는 여성소비자의 성격유형과 구매결정후기 관계를 분석함으로써 마케팅 및 경영적 기초자료로 활용할 수 있을 것으로 사료된다.

In this study, text mining was conducted on the product names of skirts, pants, shirts/ blouses, and dresses to analyze the characteristics of keywords appearing in online shopping product names. As a result of frequency analysis, the number of keywords that appeared 0.5% or more for each item was around 30, and the number of keywords that appeared 0.1% or more was around 150. The cumulative distribution rate of 150 terms was around 80%. Accordingly, information on 150 key terms was analyzed, from which item, clothing composition, and material information were the found to be the most important types of information (ranking in the top five of all items). In addition, fit and style information for skirts and pants and length information for skirts and dresses were also considered important information. Keywords representing clothing composition information were: banding, high waist, and split for skirts and pants; and V-neck, tie, long sleeves, and puff for shirts/blouses and dresses. It was possible to identify the current design characteristics preferred by consumers from this information. However, there were also problems with terminology that hindered the connection between sellers and consumers. The most common problems were the use of various terms with the same meaning and irregular use of Korean and English terms. However, as a result of using co-appearance frequency analysis, it can be interpreted that there is little intention for product exposure, so it is recommended to avoid it.

The purpose of this study was to suggest torso patterns that fit the three main body shapes of elderly obese women. To reduce time, costs, and also the trial and error needed to make patterns, the CLO program for 3D test wear was employed. Three virtual models for aged obese women were use, with the YUKA system used to produce torso patterns. 3D simulation of test wear and corrections was done to design optimal torso patterns. The results were as follows: First, for the three models of obese women’s body shapes as realized by CLO 3D, Type 1 is lower-body obesity shapes, Type 2 is abdominal obesity shapes, and Type 3 is whole-body obesity shapes. Second, to design the study patterns, actual measurement values, back waist length and waist to hip length, were used. The armhole depth (B/4-1.5), front interscye (B/6+2.3), front neck width (B/12-0.5), front neck depth (B/12+0.5), front waist measurement (W/4+ 1.5+D), front hip measurement (H/4+2+0.5), and back hip measurement (H/4+3-0.5) were calculated using formulas. Third, according to the results of test-wearing the study patterns, reduced front neck width and depth improved the neck fit and reduced armhole depth bettered loose or plunging armhole girth and also reduced the sagging of bust c.. Also, tight sidesfrom aprotruded waist and abdomen improved with the increase of surpluses in the back waist and also back and front hip c. The exterior was enhanced by displacement of back and front darts, which distributed surpluses better.

The purpose of this study was to suggest torso patterns that fit the three main body shapes of elderly obese women. To reduce time, costs, and also the trial and error needed to make patterns, the CLO program for 3D test wear was employed. Three virtual models for aged obese women were use, with the YUKA system used to produce torso patterns. 3D simulation of test wear and corrections was done to design optimal torso patterns. The results were as follows: First, for the three models of obese women’s body shapes as realized by CLO 3D, Type 1 is lower-body obesity shapes, Type 2 is abdominal obesity shapes, and Type 3 is whole-body obesity shapes. Second, to design the study patterns, actual measurement values, back waist length and waist to hip length, were used. The armhole depth (B/4-1.5), front interscye (B/6+2.3), front neck width (B/12-0.5), front neck depth (B/12+0.5), front waist measurement (W/4+ 1.5+D), front hip measurement (H/4+2+0.5), and back hip measurement (H/4+3-0.5) were calculated using formulas. Third, according to the results of test-wearing the study patterns, reduced front neck width and depth improved the neck fit and reduced armhole depth bettered loose or plunging armhole girth and also reduced the sagging of bust c.. Also, tight sidesfrom aprotruded waist and abdomen improved with the increase of surpluses in the back waist and also back and front hip c. The exterior was enhanced by displacement of back and front darts, which distributed surpluses better.

The purpose of this study is to propose a specialized clothes-sizing system for elderly (aged 60~79) obese women satisfying the following conditions based on the data from the fifth Korean Agency for Technology and Standards (2004): a Rohrer's index of over 1.6, a BMI of over 25, and a WHR of over 0.85. The lower bodies of elderly obese women tends to be shorter and wider than average. Particularly, their torsos from the chest to the waist tend to be more obese than other areas. According to the KS standards, the clothes-sizing system sets up its size intervals as follows: 5cm in stature, 5cm and 3cm in bust, 3cm in waist, and 3cm in hip. Based on the dualistic distribution of each section, the names of the sections indicating high distribution are suggested. For suit tops, 11 sizes are selected as distributed in the 145-155cm stature section and 91-103cm bust section. For casual tops, nine sizes are selected as distributed in the 145-155cm stature section and 90-105cm bust section. For bottoms, 11 sizes are selected as distributed in the 82-97cm waist section and 91-97cm hip section. According to the KS standards, detailed sizes are suggested in the division of basic and reference areas.

Study objectives are: 1) to investigate the difference in consumer perceptions of the model’s image and physical attractiveness according to advertising model types; 2) to explore the effect of the difference between the model’s image and the consumer’s self image, the difference between the model’s image and the brand’s image, and the physical attractiveness of the model on attitude toward the advertising model; and 3) to explore the effect of attitude toward the advertising model on attitude toward the advertisement. A total of 306 female consumers over the age of 45 participated in experiments with advertisement stimuli for a senior apparel brand. Results showed a significant difference in the model’s images and physical attractiveness according to each model type. The consumer’s attitude toward the advertising model was determined by physical attractiveness of the model, not by the difference between model’s image and the consumers’ self-image, nor by the difference between the model’s image and brand image. Attitude toward advertisements was determined by attitude toward the advertising model. The findings imply that advertising models of a senior apparel brand can be selected based on the physical attractiveness of the model. Consumers do not consider whether the model’s image fits well with their self-images or the brand’s image when building an attitude toward the advertising model, and this precedes the consumer’s attitude toward the advertisement. These results can be used as guidelines to select appropriate models for advertisements of senior apparel brands.

This study analyzed the body-type characteristics of 340 old-aged obese women that had been on the rise as a part of efforts to activate the silver clothing industry. The subjects were in the age range of 60-79 and met some obesity requirements, including a Rohrer Index of 1.6 or higher, a BMI of 25 or higher, and a WHR of 0.85 or higher. Old-aged obese women showed increased thickness of the torso with age, which suggests that they revealed the characteristics of regardless of gender. In other words, they became bigger in the waist and abdomen, shorter in height, slimmer in the lower body, and thicker in the torso. There are three types of obesity: Type 1 is lower-body obesity with a higher degree of obesity in the abdomen than the upper body. Type 2 is abdominal obesity with a higher degree of obesity in the upper body than in the lower body. Type 3 is whole-body obesity with balanced obesity of the whole body. As for changes to the types of obesity according to age, those who are in their sixties usually fall into the categories of upper-body and whole-body obesity, and those who are in their seventies are much more concentrated in the categories of abdominal obesity and upper-body obesity with a decreased percentage of whole-body obesity. It is apparent that the percentage of abdominal and upper-body obesity rises with age due to fat accumulation in the abdomen.

The purposes of this study were to identify awareness of pollution and attitudes toward eco-friendly clothing according to women's LOHAS lifestyle. Over 60% of women were not aware of severity of environment pollution by clothing wastes and 37.2% kept their not-wearing clothing in dead storage. 26.7% of women disposed notwearing clothing into clothing collecting box separately and 20.9% sent them to neighbors or friends. 39.4% of women were willing to pay 10% more for eco-friendly clothing and 84.6% were not willing to buy clothing produced by unethical companies. Factors of LOHAS lifestyle were healthy food, environmental protection, family life, healthy clothing, healthy housing, and community service, and were segmented into using leisure group, family centered group, LOHAS group, and LOHAS stagnated group. Using leisure group were university women with low incomes, well aware of environmental pollution by clothing wastes and eco-friendly clothing, kept their not-wearing clothing into dead storage, and low intention to buy clothing produced by unethical companies. Family centered group were women of 30’s with average income and higher educationl, unaware of environmental pollution by clothing wastes and eco-friendly clothing, but low intention to buying them, disposed not-wearing clothing into clothing collecting box. LOHAS group were the over forties home makers with higher income and education, well aware of severity of environmental pollution, sent not-wearing clothing to others or remodeled, intended to buy eco-friendly clothing, and not to buy clothing produced by unethical companies. LOHAS stagnated group were university students, unaware of severity of environmental pollution by clothing wastes and threw not-wearing clothing into trash box, no experience of eco-friendly clothing, could buy clothing produced by unethical companies if needed.

의류상품의 전자상거래 시장이 확대됨에 따라 인터넷쇼핑에서 의류를 구매할 때 선택한 의류를 착용한 자신의 모습을 확인하는 도구로 가상피팅모델이 제공되고 있다. 본 연구에서는 가상피팅모델 구축 시 사용자의 주관적인 체형인식을 반영할 필요가 있는지 알아보기 위하여 여성의 신체 치수나 체형에 대한 인식이 어떻게 다른지 연구하였다. 의류학 전공 여자대학원 50명을 대상으로 실험한 본 연구의 결과는 인체부위에 대한 개인의 치수인식이 체형에 따라 다름을 보여준다. 연구자들은 인터넷 의류 쇼핑용 가상피팅모델을 구축하기 위해서는 사용자 신체치수뿐만 아니라 사용자가 인지하는 자신의 체형특성을 반영할 필요가 있다고 결론지었다 특히 배가 많이 나온 체형도 자신이 실제보다 배가 나오지 않은 체형으로 생각하는 경향이 있으므로 여성이용자에게 거부되지 않는 가상피팅모델을 구축하기 위해서는 지나치게 극단적인 체형의 가상피팅모델의 구축은 신중하게 고려해야함을 시사하였다.