• Fashion & Textile Research Journal
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• v.23 no.4
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• pp.480-490
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• 2021

Sales forecasting is crucial for many retail operations. For apparel retailers, accurate sales forecast for the next season is critical to properly manage inventory and plan their supply chains. The challenge in this increases because apparel products are always new for the next season, have numerous variations, short life cycles, long lead times, and seasonal trends. In this study, a sales forecasting model is proposed for apparel products using machine learning techniques. The sales data pertaining to outerwear items for four years were collected from a Korean sports brand and filtered with outliers. Subsequently, the data were standardized by removing the effects of exogenous variables. The sales patterns of outerwear items were clustered by applying K-means clustering, and outerwear attributes associated with the specific sales-pattern type were determined by using a decision tree classifier. Six types of sales pattern clusters were derived and classified using a hybrid model of clustering and decision tree algorithm, and finally, the relationship between outerwear attributes and sales patterns was revealed. Each sales pattern can be used to predict stock-keeping-unit-level sales based on item attributes.

• Journal of the Korean Society of Clothing and Textiles
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• v.44 no.6
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• pp.1053-1069
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• 2020

This study examined the sales pattern relationship with respect to product attributes to propose sales forecasting for fashion products. We analyzed 537 SKU sales data of T-shirts in the domestic sports brand using SAS program. The sales pattern of fashion products fluctuated and were influenced by exogenous factors; therefore, we removed the influence of exogenous factors found to be price discounts and holiday effects as a result of regression analysis. In addition, it was difficult to predict sales using the sales patterns of the same product since fashion products were released as new products every year. Therefore, the forecasting model was proposed using sales patterns of related product attributes when attributes were considered descriptive variables. We classified sales patterns using K-means clustering in order to explain the relationship between sales patterns and product attributes along with creating a decision tree classifier using attributes as input and sales patterns as output. As a result, the sales patterns of T-shirts were clustered into six types that featured the characteristic shape of peak and slope. It was also associated with the combination of product attributes and their values in regards to the proposed sales pattern prediction model.

• Journal of Fashion Business
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• v.25 no.1
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• pp.65-79
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• 2021

Apparel fairs are business platforms specializing in selling fashion products. As the largest apparel fair in the United States and with the highest number of animated buyers in the entire world, the Las Vegas Magic Show utilizes this distribution platform to the greatest extent by sustaining over 90,000 buyers annually. In accordance, the exhibiting companies also participate in commercial functions by striving to promote brand awareness to consumers as they carefully plan to increase actual sales and secure new customers. Domestically, numerous organizations such as the Trade Promotion Administration, the Korean Apparel Association, and KOTRA(Korea Trade-Investment Promotion Agency) present similar international apparel fairs to strongly encourage domestic companies to exhibit at international apparel fairs. However, many companies fail to succeed in achieving actual results, which frequently causes them to attend the shows for the short term only. This may occur due to the lack of research on apparel order-writing exhibitions by academia and proactive workers. This research study was based on the careful observation and analysis of the three most recent years of Magic exhibitor attendees' operations and changes to accomplish the final objective of presenting a basic guideline to attend an international apparel exhibition.

• The Research Journal of the Costume Culture
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• v.29 no.4
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• pp.538-553
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• 2021

As interest in the sustainable fashion industry continues to increase along with climate issues, it is necessary to identify research trends in sustainable fashion and seek new development directions. Therefore, this study aims to analyze research trends on sustainable fashion. For this purpose, related papers were collected from the KCI (Korean Citation Index) and Scopus, and 340 articles were used for the study. The collected data went through data transformation, data preprocessing, topic modeling analysis, core topic derivation, and visualization through a Python algorithm. A total of eight topics were obtained from the comprehensive analysis: consumer clothing consumption behavior and environment, upcycle product development, product types by environmental approach, ESG business activities, materials and material development, process-based approach, lifestyle and consumer experience, and brand strategy. Topics were related to consumption, production, and education of sustainable fashion, respectively. KCI analysis results and Scopus analysis results derived eight topics but showed differences from the comprehensive analysis results. This study provides primary data for exploring various themes of sustainable fashion. It is significant in that the data were analyzed based on probability using a research method that excluded the subjective value of the researcher. It is recommended that follow-up studies be conducted to examine social trends.

• Journal of Distribution Science
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• v.20 no.8
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• pp.59-67
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• 2022

Purpose: This study identifies how twelve key success factors of distribution strategies for community enterprises in Thailand achieve higher performances. Research design, data, and methodology: The samples in this study were 400 entrepreneurs throughout the country. The instrument for data elicitation was a questionnaire. The descriptive and inferential statistics for data analysis were percentage, mean, standard deviation, T-Test, F-Test, multiple regression, and multiple correlations. Results: The results revealed that, overall, the samples showed high opinions on online distribution strategies in all aspects. In detail, the three highest factors were as follows: 1) electronic satisfaction, 2) product characteristics and electronic trust, and 3) the quality and success in online distribution. In detail, the three highest aspects of online distribution success were customer loyalty, financial performance, and work management, respectively. The online distribution strategies influencing community enterprises' success were electronic trust, electronic loyalty, social information, electronic satisfaction, and online distribution tools, which had a statistical significance of 71. Conclusions: This research has made an essential contribution to community enterprise entrepreneurs should focus on and adopt these 8P+4ODS concepts to increase sales, maintain brand loyalty of existing customers, get new customers, develop learning, and improve the working potentials of community enterprise entrepreneurs.

• Journal of Distribution Science
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• v.20 no.5
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• pp.105-117
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• 2022

Purpose: This research investigates ready-to-drink (RTD) coffee. Although the RTD coffee market is growing competitively, few studies have examined behavioral re-intention or repurchase intention in the context of this industry. Therefore, the objective of this study was to explore factors affecting the behavioral re-intention to purchase RTD coffee. Research design, data and methodology: Using the theory of planned behavior (TPB) as the underpinning theoretical framework, this study hypothesized that behavioral re-intention to purchase RTD coffee is influenced by the variables of the TPB and additional variables. A mixed-method research design was applied, starting with qualitative in-depth interviews and followed by a quantitative method. Data were collected using an online survey of coffee lovers. Multiple linear regression (MLR) was used to assess the hypothesized relationships in the proposed conceptual framework. Results: The results reveal that content sensory attribute beliefs are the strongest positive predictor of behavioral re-intention in Thailand, followed by perceived utilitarian value. In contrast, price signaling was negatively related to behavioral re-intention. Conclusions: The findings can help food and beverage companies to develop new coffee product lines to gain more market share, create integrated marketing communications to build brand awareness, and manage distribution channels and the supply chain.

• Journal of Fashion Business
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• v.26 no.4
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• pp.18-31
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• 2022

Fashion is one of the main environmental pollution industries. To reduce pollution, much of the deadstock clothes are given a new value by being redesigning based on the designer's competency. This study aims to promote the revitalization of redesigning by analyzing and presenting hybrid design characteristics of the Sacai design collection, as a redesigning brand, and formative element characteristics of redesigning. A theoretical study using previous research on redesigning and related books and an empirical study analyzing the Sacai Collection were conducted. Based on the study results, there are four types of redesigning processes; recombination of heterogeneous clothing structure, reorganization by reversed function and position, reorganized composition by material processing, and mixing of heterogeneous materials. In the recombination of heterogeneous clothing structures, heterogeneous materials and structures coexist by combining the clothing components with other clothing elements. The second is the reconstruction by subversion. The third is reconstruction by material processing. The fourth is a mixture of disparate materials. This study has innovative redesign features from Sacai designs, and there are plans for a follow-up study that will analyze the work of another designer who is recognized for the excellence in redesigning.

• Journal of Fashion Business
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• v.26 no.5
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• pp.49-61
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• 2022

Advancements in technology and the proliferation of digital services have highlighted the importance of luxury brands in service environments. Based on the social exchange theory, this study investigated the interaction between customers and luxury brands in a traditional offline service encounter and a digital online service encounter. The interaction area was classified into three parts: human-human, human-digital, and human-physical environments. We qualitatively investigated the practitioners' working experiences with luxury brands. The study determined that both online and offline service encounter interactions between luxury brands and customers have become diverse. First, forming a special relationship with customers and frontline employees in traditional service encounters is important. Second, luxury brands should focus on the interaction among customers. Third, various digital tools should be considered to provide information about the brand to customers. Fourth, the exclusive benefits of offline service encounters should be maximized to stimulate positive experiences. The findings provide valuable insight to scholars and marketers on the new interaction phase between customers and luxury brands in the digital age.

• The Research Journal of the Costume Culture
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• v.30 no.5
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• pp.689-702
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• 2022

Global fashion houses have recently incorporated traditional Korean motifs within their inspiration. This trend is an opportunity to showcase the colors of traditional Korean culture by investing in the new design content. Products specifically based on traditional Korean culture are lacking in brand awareness despite the success of Korean content. Accordingly, this study designs cultural products based on Korean folk painting that captures Korean people's satirical sense of humor. Korean folk painting theories are analyzed, from which different types of folk paintings are classified based on research of bibliographies and online documents. Following classification, the results are dataized as different types of folk paintings and their meanings. Furthermore, images of folk paintings are categorized and scanned digitally. The digitized images of the folk paintings are processed through Adobe Photoshop CS for overall layout and Adobe Illustrator CS for detailed designs. Traditional categories of Korean folk paintings are used, including flowers and birds, letters, and study stationery. Using the main elements of the flower and birds category, designs with cultural products such as images of flowers, birds, animals, and fish are produced. The final designs are used to create fashion items that can easily be used for embellishment or self-presentation: a scarf and a necktie. The scarf and the necktie are not only merchandise; they also symbolize the story, humor, and hope that Korean folk paintings once symbolized.

• International Journal of Advanced Culture Technology
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• v.11 no.3
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• pp.39-44
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• 2023

As the number of companion animals reaches 15 million in 2022, the pet wear market is expected to grow at an average annual rate of about 14.5% from KRW 1.5684 trillion in 2014 to a market size of over KRW 6 trillion in 2027. However, most of the pet clothing and various supplies currently in circulation are either cheap, low-quality products imported from China or other countries, or expensive products released by overseas luxury brands. Therefore, it is urgent to develop a brand that can compete with luxury products coming from overseas by developing premium pet fashion products using high-end functional fabrics produced domestically. This study seeks to propose ways to revitalize the domestic pet fashion market by examining the current status of global pet fashion, the domestic textile industry, and the current status of the pet fashion market. The suggestions and expected effects are as follows. First, active support is needed for the development of products using domestically produced fabrics, such as raising awareness through various subsidy projects and contests. Second, it is expected that small and medium-sized businesses will be revitalized through the production of pet fashion products using high-quality functional knit fabrics produced in northern Gyeonggi Province. Third, it is necessary to produce high-quality premium products through continuous and intensive support from the government and collaboration between large corporations and small and medium-sized enterprises. Fourth, there is an urgent need to provide opportunities to train experts for the expected effects of starting businesses and creating new jobs.