• Fashion Information and Technology
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• v.3
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• pp.48-54
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• 2006

• Journal of Fashion Business
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• v.26 no.5
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• pp.36-48
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• 2022

This study aims to analyze the patterns made with knitted jacquard and intarsia techniques to provide essential data to help plan different knitwear designs using the techniques and patterns. Based on approximately 3,000 jacquard and intarsia knitwear published in the four significant womenswear collections over the past decade, eight main pattern types were classified, and each characteristic was analyzed. Firstly, it is a logo and symbol type pattern that appears mainly as a means of emphasizing a brand. Secondly, it is a traditional pattern with settled patterns from the past to the present. Third, it is a geometric pattern that appears both typically and atypically in various forms. Fourth, an abstract pattern type does not show a precise form or motif. Fifth, it is a colorful and diverse flower and plant pattern. Sixth, it is a landscape pattern that expresses nature and living space. Seventhly, it is an animal pattern type that expresses the appearance of an animal or the shape of the. Finally, it is a caricature pattern type using characters and various cartoonish motifs. Based on the analysis results of this study, creative and diverse design development of Jacquard and Intarsia knitwear and development of the knitwear market will take place.

• The Research Journal of the Costume Culture
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• v.21 no.4
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• pp.511-520
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• 2013

This study examines the development of knitwear design using environmentally friendly Hanji (Korean traditional handmade paper) yarn. While its environmentally friendly features make Hanji yarn suitable for eco-fashion design, Hanji products, generally produced in limited quantities, are highly unlikely to become a commercial success due to their high prices. Therefore, a new technology allowing the production of low-cost Hanji yarn is in high demand, as is its application across multiple products in addition to knitwear. The significance of this study lies in that it suggests ways to design knitwear which reflect the versatility of modern eco-fashion to meet the needs of consumers. This study presents knitwear designs, specifically party wear and everyday fashion, that utilize the advantages of Hanji yarn and represent 2013 S/S color trends. Two outfits will be featured - one for women in their 20s and 30s and the other for women in their 30s and 40s. Also, this paper includes a literature review and an accounting of online research on Hanji yarn and eco-fashion designs.

• The Research Journal of the Costume Culture
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• v.29 no.6
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• pp.763-778
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• 2021

The study aims to analyze the mixed characteristics of knit fashion design as demonstrated in Sacai's collection, which promotes hybrid and mesh-up fusion and proposes various knit design ideas. Standards for categorizing mixed phenomena of Sacai's knit design were established through a review of literature and data analysis. The study's data collection period was from 2012 to 2021, and a total of 174 items were analyzed. The following are the results. First is the fusion of traditional knit and contemporary styles expressed through de-constructive design; traditional knit styles are combined with contemporary styles through color, material, and knitting structure mixtures, such as mixing Northern European Aran, Fair Isle, Nordic, and Ropy knit. Second, the Sakai knit design combines male and female styles by mixing materials and details. A deconstructed knit cardigan was matched with androcentric pin-striped shirts worn over layered shirring skirts embellished with chiffon and lace. Third, everyday street fashion style is blended with a formal, elegant fashion style. For example, the front view has a typical everyday appearance, whereas the back view contains florid and decorated details. The style is expressed as a 360-degrees appellation, with one thing in the front and another in the back. Sacai's distinctive expressional characteristics include a mixed and de-constructive style characterized by unexpected design.

• Journal of the Korea Fashion and Costume Design Association
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• v.24 no.3
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• pp.17-31
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• 2022

The purpose of this research is to suggest diverse directions for eco-friendly knit designing through analyzing the characteristics of Stella McCartney's knit designs. The first stage of the research was to explore the characteristics of eco-friendly fashion design based on literature review. The next stage was to categorize the characteristics of eco-friendly design found in Stella McCartney' knit fashion based on the precedent analysis. The data collected showed 274 examples from 40 Stella McCartney collections, including Spring, Resort, Pre-Fall, and Fall Ready-to-wear collections between 2013 and 2022. All information was collected using www.vogue.com. As a result, the characteristics of Stella McCartney's knit design were classified into four directopms: 1) Perpetual Naturalism, 2) Cultural Complexity, 3) Practical Functionality, and 4) Subcultural Reproducibility. The first characteristic, 'Perpetual Naturalism' values the continuous symbiosis between animals and human beings, thereby protecting global environmental value. Stella McCartney's knit design continuously showed a longing for nature's beauty through fashion design, which allowed people to enjoy the meaning of symbiosis between human beings and animals. Second, 'Cultural Complexity' is the characteristic that appears in Stella McCartney's knit fashion design when collaborating with various artists and/or mixing traditional knit motives inspired by traditional cultures and retro moods. Third, 'Practical Functionality' is the design characterisitic that allows items to be worn for a long time as it is comfortable, simple, and practical. Stella McCartney's knit designs pursue easy-to-wear designs that are comfortable and have practical designs with simple details. Lastly, 'Subcultural Reproducibility' showed in Stella McCartney's knit designs reflect Hippie culture, which pursued a rejection of conventional values, and promoted sustainable energy. This culture peaked in the 1960s and 1970s, when 'Beatles' were mainly working. Additionally, retro styled knit designs inspired by other various music genres from the 1980s and 1990s appeared in this category as well.

• Proceedings of the Korea Society of Costume Conference
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• 2005.10a
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• pp.172-173
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• 2005

• The Journal of the Korea Contents Association
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• v.20 no.1
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• pp.630-643
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• 2020

Recently, consumers have changed their role to consumers and producers who make what they want. The way clothes are produced is also needed to change according to modern consumption methods. Knitting Machine was one of them, and although it was a mass-produced device, it developed a device that could make clothes anywhere on a small production craze. Knit-making requires more consideration than other clothing designs, which requires consideration of users' web usability. Therefore, this study proposes an assessment tool that can evaluate web usability of clothing-making sites using knitting machines. To this end, the examples of the Knitting Machine program and custom product production websites and the each UI were investigated and analyzed. Based on these prior surveys, the draft evaluation items were drawn, and three Delphi surveys were conducted on the basis of the draft to produce assessment tools after classifying, modifying and deleting items. Through this study, we look forward to improving the usability of the customized product-making website of Knitting Machine in the future and popularizing the Knitting Machine.

• Journal of the Korea Fashion and Costume Design Association
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• v.14 no.1
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• pp.43-59
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• 2012

The purpose of this study was to compare knitwear design preferences and purchase behaviors of university students by sex. The subjects were 493 university students in Daejeon and Gongju provinces. The research method was a survey and measurement instruments were 16 stimuli which were manipulated of knitwear shape and self-administrated questionnaire (knitwear design preference items, knitwear favorite image items, purchase behavior items and subject' demographic attributions). Data were analyzed by factor analysis, frequency analysis, t-test, Cronbach' ${\alpha}$ using SPSS program. The results of the study were as follows. First, as for pullover designs according to pullover shape factors, male preferred classic design with normal round neck, set-in sleeves and normal length, whereas female preferred various designs with normal round, normal V or deep V neck, set-in sleeves and normal or long length. Second, there was significant difference by sex in knitwear patterns and materials. Male preferred geometric patterns and 100% cotton, whereas female preferred natural patterns and blended cotton. Third, 4 factors were emerged on knitwear favorite images(casual image, modem classic image, active image and characteristic image). Especially, there was significant difference by sex in active image. Male preferred active image, whereas female did not. Fourth, as for knitwear purchases, male considered fitting as important purchase criteria, whereas female considered design or style. Male used department stores for purchasing, whereas female used Bosejeom for independent fashion. Male preferred high quality knitwear to female.

• The Research Journal of the Costume Culture
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• v.24 no.2
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• pp.180-197
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• 2016

The purpose of this study is to create knit ruffles that represent the aesthetic and artistic values of painted works of art that rhythmically express flower petals and add an artistic impression on the knit ruffle designs. This study is based on the artistic life of Georgia O'Keeffe and changes in her artistic background, and the world of paintings. The relevant data was gathered from domestic and foreign references, academic journals, and the internet. The characteristics of Georgia O'Keeffe paintings were examined. Her paintings typically include a series of various motifs, symmetry, balance, and harmony of detailed realistic expressions and abstract elements, repetition, and the principles of contrast and emphasis in shaping. The decoration techniques used on fabrics were applied using the knitting machine which controls the tension to develop a variety of textures, apart from the previous standardized knit textures, through various knitting techniques. A gradation effect was then applied by piece-dyeing the knitted materials in various colors to express asimilarity to the original colors in O'Keeffe's works with delicate color expressions. After the piece-dyeing, the decorative knitted materials were trimmed on a model to re-create the natural curves of flower petals. This study aims to converge works of art with fashion designs to develop various creative knitted fashion and to impart an artistic sense in the fashion design industry.

• The Research Journal of the Costume Culture
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• v.18 no.6
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• pp.1274-1290
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• 2010

This study analyzed the design elements and fashion images of women's knitwear in collections of Paris, Milan, London and New York between 2003 and 2008, and examined knitwear trends in an effort to verify whether knitwear trends are repeated in certain cycles, whether they show complicated patterns in cycles and yet occur in quasi cycles, or whether they occur non-periodically in complicated forms of chaotic cycles. Trend cycle analysis results are deemed to identify the time series attribute of knit fashions. It also sought to categorize the attribute of various factors influencing knitwear trends with a view to determining relevancy between design elements, and to present the direction of predicting knitwear fashion trends and the progression of short-term knitwear trends. This study reached the following conclusion. According to design elements or fashion images, knitwear fashion trends occur in cycles, quasi cycles, non-periodical cycles. These cyclic characteristics can be used as scientific data for planning knitwear products. The study confirmed close relevancy between fashion images and fashion elements. It identified close relevancy between designs with similar fashion elements and images through coordinates by year and season, and it is possible to make short-term prediction of trend direction through the flow of coordinates. Time series data were insufficient, thereby making it difficult to perfectly verify chaos indices and giving limitations to this study. A study with more time series data will produce a more effective method of predicting and using knitwear fashion trends.