• Korean Journal of Human Ecology
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• 제22권6호
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• pp.659-672
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• 2013

Nowadays, sports and outdoor market has been popular and expanding since the implementation of the five-day workweek and change of lifestyle. Outdoor clothing considered exclusive property of the middle-aged individuals in the past. Recently there is a drift towards having outdoor looking at the age of 10-20. The purpose of this study was to analyze the features of purchasing behaviors and demographics by each groups targeting middle school and high school students. The study was conducted with questionnaires towards people who live in the city of Busan and who have experiences of buying outdoor clothing. Data analysis was conducted via SPSS 18.0 with factor analysis, cluster analysis, ANOVA, cross tabulation, frequency analysis and Duncan's multiple range test. The results showed that there were five factors sought for outdoor wear benefits: Individuality/Fashion, Brand, Attractive appearance, Economic value, Comfort/Functional. Cluster analysis showed that there were four groups of outdoor wear benefits sought. Overall, the four groups were different in regard to purchasing behaviors and demographics. Based upon the results mentioned above, this study summarizes the key features of each group and can provide applicable suggestion for conducting strategic marketing activities.

• The Research Journal of the Costume Culture
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• 제25권6호
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• pp.893-912
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• 2017

Crowdsourcing models in which organizaions obtain needed product ideas and services from a crowd in a network-based society are rising as a global industry trend. The purpose of this study was to figure out the types and characteristics of crowdsourcing design shown in the domestic fashion brands, and to provide implications for design strategies using crowdsourcing. This study was based on qualitative research which was brand case studies on crowdsourcing design in the fashion industry from January 2006 to July 2017. Also, quantitative analysis using frequency and percentage was applied. The results were as follows: First, crowdsourcing design was used in almost all types of fashion brands, such as sports and outdoor wear, men's wear, women's wear, men's and women's casual wear, shoes, bags, school uniforms, jeans, accessories, etc. Crowdsourcing design in the fashion industry was classified into three types: crowdsourcing graphics and artwork; crowdsourcing customized designs; and crowdsourcing product designs. Of the three types, crowdsourcing graphics and artwork was used most. There were four methods to choose the best crowsourced design: review only by experts, voting by crowd and review by experts, crowdvoting, and crowdfunding. Second, the characteristics of crowdsourcing design were openness, participation, reward and acknowledgement, sharing and interaction, and individualized collective intelligence. Crowdsourcing design could be used as an open innovation strategy in the fashion industry, which could collect new and creative design ideas for product development, resulting in the satisfaction of consumers and benefitting the company.

• Fashion & Textile Research Journal
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• 제8권1호
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• pp.71-79
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• 2006

The study of young people's attitudes towards appearance management has special significance for understanding young people's living, thought and attitudes. It was handed out 600 questionnaires in the three cities and look 573 questionnaires back, out of which 552 were used as the basic material for the analysis. These 522 questionnaires included 178 in Beijing, 200 in Shanghai, 175 in Dalian. 154 questions in four aspects were raised in the questionnaires. The purpose of this study were to identify the Chinese generation' lifestyle and fashion attitudes. Questionnaires developed by researcher were distributed and collected from 552 chinese new generation of the three cities(178 in Beijing, 200 in Shanghai, 175 in Dalian). 1) Life attitudes of new generation men and women in China were classified into five factors, which were extravagant pleasure-seeking, sports-oriented, marriage-oriented, appearance-oriented and study-oriented attitudes. 2) Fashion attitudes of new generation men and women in China were classified into eight factors, which were fashion attitude of being conscious of others, others-dependent fashion attitude, rational fashion attitude, brand-pursuing fashion attitude, active appearance management fashion attitude, unique fashion attitude, fashion attitude of being conscious of sex role and individuality-oriented fashion attitude.

• Journal of Fashion Business
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• 제11권3호
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• pp.87-96
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• 2007

The purpose of this study is to analyse the characteristics of style, color and items of street fashion in Harbin. This kind of study will contribute to the understanding the preference of fashion in northeastern area, thereby, affording a fundamental resources for the strategic establishments of design and marketing in Korean brand launching into China. The results of this study are as follows. The preferred fashion style is casual one, rather than formal one. The order of preference in casual wear is character, jean and sports casual. In the view of color, preference in top color is, white, black, brown and pink. In the bottom, it is blue, white, black and brown. In one-piece, it is white, blue and brown. Throughout all items, the most frequently founded color is white, which might be ascribed to the seasonal influence of summer. The Chinese specific preference of color could not be observed. In aspect of items, the one-piece takes the proportions of more than half of the all the items. The typical details of one-piece dress are irregular hemline and asymmetrical line. While knee length takes proportion of 70%, in item of skirt, the full length is 46.8% in frequency for pants. In one-piece, knee length is 80% amounted as first rank, followed by midi and mini.

• Fashion & Textile Research Journal
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• 제23권4호
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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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• 제44권6호
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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.

• International Journal of Internet, Broadcasting and Communication
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• 제14권4호
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• pp.181-188
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• 2022

The purpose of this study is to identify selection attributes, functional benefits, psychological benefits, and values according to crossover shopping patterns (showrooming and webrooming). To achieve objectives of this study, a survey was designed based on the means-end chain theory, using the in-depth laddering technique and APT laddering technique which understanding the linkage of A(attributes)-FB(functional benefits)-PB(psychological benefit)-V(value). These two laddering techniques were used to construct a hierarchical value map (HVM) by linking selection attributes, functional benefits, psychological benefits, and value levels. The selection attribute items that showrooming shoppers consider important are 'price conformity', 'product information', 'product variety', and 'delivery service'. Functional benefit items were 'free purchase', 'economic benefit', 'communication', 'safety', and 'accurate Information', and psychological benefit items were 'convenience', 'relaxation', 'pleasure', 'rational consumption', and 'stability'. Finally, the value items were 'self-satisfaction', 'abundant life', 'achievement', 'happiness', and 'reasonable life'. Next, the selection attribute items that webrooming shoppers consider important are 'price conformity', 'product information', 'product variety', 'AS', 'shopping atmosphere', and 'seller service'. Functional benefit items were 'free purchase', 'economic profit', 'expression opinion', 'safety', and 'accurate information', and psychological benefit items were 'convenience', 'relaxation', 'rational consumption', and 'stability'. Finally, the value items were 'self-satisfaction', 'abundant life', 'happiness', and 'reasonable life'.

• International Journal of Internet, Broadcasting and Communication
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• 제15권1호
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• pp.164-170
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• 2023

The purpose of this study is to analyze the big data of Adidas brand participating in the Qatar World Cup in 2022 as a FIFA partner to understand useful information, semantic connection and context from unstructured data. Therefore, this study collected big data generated during the World Cup from Adidas participating in sponsorship as a FIFA partner for the 2022 Qatar World Cup and collected data from major portal sites to understand its meaning. According to text mining analysis, 'Adidas' was used the most 3,340 times based on the frequency of keyword appearance, followed by 'World Cup', 'Qatar World Cup', 'Soccer', 'Lionel Messi', 'Qatar', 'FIFA', 'Korea', and 'Uniform'. In addition, the TF-IDF rankings were 'Qatar World Cup', 'Soccer', 'Lionel Messi', 'World Cup', 'Uniform', 'Qatar', 'FIFA', 'Ronaldo', 'Korea', and 'Nike'. As a result of semantic network analysis and CONCOR analysis, four groups were formed. First, Cluster A named it 'Qatar World Cup Sponsor' as words such as 'Adidas', 'Nike', 'Qatar World Cup', 'Sponsor', 'Sponsor Company', 'Marketing', 'Nation', 'Launch', 'Official', 'Commemoration' and 'National Team' were formed into groups. Second, B Cluster named it 'Group stage' as words such as 'Qatar', 'Uruguay', 'FIFA' and 'group stage' were formed into groups. Third, C Cluster named it 'Winning' as words such as 'World Cup Winning', 'Champion', 'France', 'Argentina', 'Lionel Messi', 'Advertising' and 'Photograph' formed a group. Fourth, D Cluster named it 'Official Ball' as words such as 'Official Ball', 'World Cup Official Ball', 'Soccer Ball', 'All Times', 'Al Rihla', 'Public', 'Technology' was formed into groups.

• Journal of Sport and Applied Science
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• 제6권2호
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• pp.9-18
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• 2022

Purpose: This research aims to analyze the relationship marketing between football club organizations, players, and the fans club community. Research design, data, and methodology: An ethnographic approach was used to observe for eight months in the community, interviews, and documents analysis in Bonek Mania community fans club and Persebaya, a football club management in Surabaya, Indonesia. Results: The results show that the management of the football club has maintained the football high-end brand image in the national league. Stakeholders have endeavored to build the values and shared meaning with the public and cohesively with Bonek Mania. The struggles and achievements are intended to maintain the local collective memory of Surabaya's patriotism as the "city of heroes." Sustainable relationships were built by professional football club managers, players, and the fans club to foster the spirit, economic resources, and sustainable development. Conclusions: This research implies that it can provide direction for the management of football clubs by paying attention to relationship marketing, developing unique local values to build the customers' loyalty. Further implications were discussed.

• Korea Trade Review
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• 제46권4호
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• pp.1-16
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• 2021

This study suggests improvements in the management performance of the five largest exhibition and convention centers in Korea through financial ratio analysis. For this research, the financial ratios of each center were compared to the average of the centers as well as to the overall industry average during the past five years. According to the analysis results, the stability and growth ratios of the centers were excellent, but the profitability and activity ratios were poor. In particular, the ratios of profitability were in state of urgent need for improvement because they were at the level of severe deficits. It was analyzed that sales increase can be the key factor to improve centers' operation income and net profit to improve profitability. This study recommends measures to increase sales by using centers' facilities and their functions. The first is to actively host large-scale international meetings and conventions that only exhibition and convention centers can accommodate. The second is to attract brand exhibitions through strategic alliances with global Professional Exhibition Organizers (PEOs). Lastly, it is to organize sports and cultural events that are appropriate for incentive tours of associations and corporations.