• Journal of the Korean Society of Clothing and Textiles
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• v.38 no.6
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• pp.942-952
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• 2014

Winter outerwear includes various clothes such as classical jackets/coats, padded jackets/coats, wind breakers, leather and fur jackets/coats. This research surveyed care-label instructions attached to 100 jackets/coats dropped off at five drycleaners in the Gyungin area. University students' perception and attitudes towards care labels and management of winter outerwear were examined using a questionnaire. Data collected from 230 respondents were analyzed by frequency analyses, t-tests, ANOVAs and Duncan tests with PASW 20.0. Half of the padding jackets/coats were labelled to be dry cleaned and dry cleaning was more excessively labelled than necessary. University students confirmed more care symbols than fiber compositions such as more at time of cleaning than at purchasing. Clothing-related major students understood care label symbols better than non-clothing major students. Consumers laundered some winter outerwear at home, even though they thought dry cleaning was a proper cleaning method. The appropriate cleaning method for padded jackets/coats is laundering; however, consumers who answered dry cleaning as an appropriate method were three times as those who answered washing, and those performed dry cleaning were two times as those who performed washing. Winter outerwear manufacturers should provide adequate and more specified care-information to consumers in order to maintain initial appearance and performance over longer periods.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.15 no.4
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• pp.1232-1245
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• 2021

In this study, prediction of product sales as they relate to changes in temperature is proposed. This model uses long short-term memory (LSTM), which has shown excellent performance for time series predictions. For verification of the proposed sales prediction model, the sales of short pants, flip-flop sandals, and winter outerwear are predicted based on changes in temperature and time series sales data for clothing products collected from 2015 to 2019 (a total of 1,865 days). The sales predictions using the proposed model show increases in the sale of shorts and flip-flops as the temperature rises (a pattern similar to actual sales), while the sale of winter outerwear increases as the temperature decreases.

• Journal of Fashion Business
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• v.17 no.2
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• pp.82-94
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• 2013

This study aims to investigate purchase attitude towards uniforms, wear condition and their requirements for functional school uniforms for high school boy students, and to help to present basic data for the development of functional school uniforms by reflecting requirements from high school students. First, research on school uniform brands purchased in Busan, Ulsan, and Kyungnam regions showed 2 brands were preferred, and the school uniform purchase expenses are primarily between two hundred thousand won and three hundred thousand won. Second, in terms of differences among fabrics of summer and winter uniforms, many students answered that 'they are similar' or 'there is no difference'. As for complaints about winter uniforms, thermal insulation accounts for the highest rate. As a result of research on underwear worn primarily in the winter, boy students tend to wear underwear to keep their lower bodies warm rather than their upper bodies. They tend to keep their upper bodies warm with outerwear such as vests, cardigans, and padding jumper. According to a survey on experience and satisfaction of functional uniforms, students showed satisfaction with more than three points to all questions except for two, which means their satisfaction about the functions of uniforms that they wear currently is above the average. Third, many boy students complains about the thermokeeping of winter uniforms, especially thigh parts of pants. It is required to make research for the improvement of functional pants for boy students.

• Journal of Fashion Business
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• v.15 no.6
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• pp.176-203
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• 2011

In today's intensifying global competition, Korean fashion industry is relying on only qualitative data for feasibility study of future projects and developmental plan. This study was conducted in order to support establishment of a scientific and rational management system that reflects market demand. First, fashion market size was limited to the total amount of expenditure for fashion clothing products directly purchased by Koreans for wear during 6 months in spring and summer and 6 months in autumn and winter. Fashion market forecasting model was developed using statistical forecasting method proposed by previous research. Specifically, time series model was selected, which is a verified statistical forecasting method that can predict future demand when data from the past is available. The time series for empirical analysis was fashion market sizes for 8 segmented markets at 22 time points, obtained twice each year by the author from 1998 to 2008. Targets of the demand forecasting model were 21 research models: total of 7 markets (excluding outerwear market which is sensitive to seasonal index), including 6 segmented markets (men's formal wear, women's formal wear, casual wear, sportswear, underwear, and children's wear) and the total market, and these markets were divided in time into the first half, the second half, and the whole year. To develop demand forecasting model, time series of the 21 research targets were used to develop univariate time series models using 9 types of exponential smoothing methods. The forecasting models predicted the demands in most fashion markets to grow, but demand for women's formal wear market was forecasted to decrease. Decrease in demand for women's formal wear market has been pronounced since 2002 when casualization of fashion market intensified, and this trend was analyzed to continue affecting the demand in the future.