• Journal of the Korea Fashion and Costume Design Association
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• v.25 no.4
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• pp.133-145
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• 2023

Competition is intensifying as the golfwear market grows and expands rapidly due to the influx of MZ generation golfers, so it is necessary to plan knit golfwear products suitable to consumer needs The purpose of this study is to contribute to product planning by analyzing knit design factors according to the brand image of golfwear. First, the top five sales brands surveyed by Apparel News were selected. The selected brands were G-Fore, PXG, Malbon Golf, Titleist, and Mark & Lona. Knit products sold by the selected golfwear brands were investigated based on design factors, such as image, item, stich, yarn, color, and pattern to analyze knit design factors according to brand image. G-Fore's modern classical image was influenced by pullovers, vest items, 100% wool, color contrast, intasha stich, and monotone colors. PXG's sporty modern image was due to a mixture of rayon and polyester in jumper items, while Malbon Golf's American casual image applied character patterns and intasha knitwear. Line points, plain knitwear, and monotone colors were analyzed as design factors for Titleist's modern minimal image, while Mark & Lona's classic casual was analyzed as knit design factors, such as check patterns and jacquard knitwear. Differences in knit design factors according to brand image can be identified.

• Journal of the Korean Society of Clothing and Textiles
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• v.47 no.5
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• pp.891-906
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• 2023

The essence of fashion brands' marketing with metaverse-based virtual spaces is to capture more potential consumers and boost the sales of companies' virtual and physical products. However, existing research has not fully addressed customer responses and behavioral outcomes regarding fashion virtual brand spaces. This study uses flow theory to address this gap and explores the factors that lead to the flow experience in virtual brand spaces. It also establishes the causal relationships between the flow experience, satisfaction with virtual spaces, the intention to purchase virtual products, and the intention to purchase actual products. We chose "Ralph Lauren World" of Ralph Lauren on Zepeto as the virtual brand space for this study and analyzed 239 valid data sets. We tested the hypotheses using structural equation modeling and bootstrapping for the mediation analyses. The findings indicate that the flow experience in virtual brand spaces positively and indirectly affects the purchase intention of virtual products via satisfaction with virtual brand spaces. In addition, virtual space satisfaction had an indirect, positive effect on actual product purchase intention through virtual product purchase intention. The research emphasizes that the purchase intention of virtual and actual products has a positive causal relationship.

• The Journal of the Convergence on Culture Technology
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• v.3 no.4
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• pp.137-144
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• 2017

The purpose of this study is to examine the effectiveness of Customer Relationship Management (CRM) factors in the Supply Chain Management (SCM) context focusing on ashion apparel company. Especially, this study reveals whether a long term relationship is beneficial for all businesses regardless of negotiation power leverage. To this end, the mixed research methods that combined qualitative and quantitative approaches were conducted. The findings of this study are as follows: First, the research model which is CRMs for interactive relationship building were developed. Second, cause-and-effect relationships in the proposed model were partially supported depending on CRMs. The most effective CRMs offered are a guarantee of sales and a special discount. Customized products and quality, convenience, competitive pricing, and development of a product/system/service were effective to ultimately increase a switching cost.

• Journal of Fashion Business
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• v.18 no.3
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• pp.1-13
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• 2014

This study investigated the store switching behavior of fashion stores targeting college students. A random sample of college students completed a questionnaire that contained measurements of store property, relationship quality, switching intent of store, preference of on/offline store, purchase of brand/non-brand product and monthly clothing expenses. The factors extracted as switching behavior of on/offline fashion store are store property, relationship quality and switching intent of store. Dimensions of store switching behavior in online shopping mall is revealed to be composed of diversity/ easy to search, store reliability, home page layout, sales promotion, reliability, commitment and switching intent of store. Also those of offline store is revealed to be composed of store comfort/salespeople service, product diversity, store location, product price, reliability, commitment and switching intent of store. The significant differences were found between store switching behavior of college students by preference of on/offline store and purchase of national brand/non brand. It is expected that this results can be used as a basic material for further study and setting up the fashion retailing strategies in fashion store for selling non brand products.

• The Korean Fashion and Textile Research Journal
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• v.9 no.1
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• pp.41-48
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• 2007

Marketing strategists believe that the best way to satisfy customers is through satisfied employees. In fashion retail businesses, salespersons play a pivotal role for the success of business, since fashion products have emotional properties and customers' emotion is largely affected by personal selling at the point of purchases. The present study aims to examine relationships among internal service quality, job satisfaction, and organizational performance in fashion retail businesses. Specifically, the study will test the validity of applying service quality concept to the internal service targeting the sales person of fashion retailers and identify dimensions of internal service quality. Data were collected from salespersons of women's wear and imported brand stores at four major department stores. 205 survey responses were used for the final analysis. The factor analysis extracted empathy/tangibility, assurance, responsiveness and reliability factors. The structural path analysis and effect analysis indicated that the importance of assurance and responsiveness of internal service quality had significant direct effects on job satisfaction and significant indirect effects on organizational performance. Reliability dimension of internal service quality had a significant direct effect on job satisfaction. The importance of empathy/tangibility dimension, however, was relatively weak in the model.

• Journal of Distribution Science
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• v.19 no.4
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• pp.5-13
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• 2021

Purpose: The sporting field is one of the most lucrative industries that most producers would want to share and drive-in sales towards its direction. The purpose of the present study is to evaluate how sports psychology has become a useful discipline in enhancing consumer purchase intentions. Research design, data, and methodology: This study employs a qualitative coding method to analyze and interpret the data obtained with a PRISMA declaration for analytical purposes. Using Web QDA (Qualitative Data Analysis) online tools, the current study coded the data obtained. Results: According to the prior studies, marketers should go the extra mile of looking for what sports customers are looking for. They understand that one way to increase the customers' willingness to purchase their products is by looking into the specific things that the customers look for and enjoy in sports. Conclusions: After all, the present study concludes that most marketers need to apply the concepts of sports psychology to understand consumer purchase intentions in particular retail stores. Consumers are likely to be influenced by their peers or groups to make decisions driven towards purchasing given sports apparel and the retail store to purchase a product.

• Journal of Intelligence and Information Systems
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• v.23 no.4
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• pp.77-110
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• 2017

Recently, the diversification and individualization of consumption patterns through the web and mobile devices based on the Internet have been rapid. As this happens, the efficient operation of the offline store, which is a traditional distribution channel, has become more important. In order to raise both the sales and profits of stores, stores need to supply and sell the most attractive products to consumers in a timely manner. However, there is a lack of research on which SKUs, out of many products, can increase sales probability and reduce inventory costs. In particular, if a company sells products through multiple in-store stores across multiple locations, it would be helpful to increase sales and profitability of stores if SKUs appealing to customers are recommended. In this study, the recommender system (recommender system such as collaborative filtering and hybrid filtering), which has been used for personalization recommendation, is suggested by SKU recommendation method of a store unit of a distribution company that handles a homogeneous brand through a plurality of sales stores by country and region. We calculated the similarity of each store by using the purchase data of each store's handling items, filtering the collaboration according to the sales history of each store by each SKU, and finally recommending the individual SKU to the store. In addition, the store is classified into four clusters through PCA (Principal Component Analysis) and cluster analysis (Clustering) using the store profile data. The recommendation system is implemented by the hybrid filtering method that applies the collaborative filtering in each cluster and measured the performance of both methods based on actual sales data. Most of the existing recommendation systems have been studied by recommending items such as movies and music to the users. In practice, industrial applications have also become popular. In the meantime, there has been little research on recommending SKUs for each store by applying these recommendation systems, which have been mainly dealt with in the field of personalization services, to the store units of distributors handling similar brands. If the recommendation method of the existing recommendation methodology was 'the individual field', this study expanded the scope of the store beyond the individual domain through a plurality of sales stores by country and region and dealt with the store unit of the distribution company handling the same brand SKU while suggesting a recommendation method. In addition, if the existing recommendation system is limited to online, it is recommended to apply the data mining technique to develop an algorithm suitable for expanding to the store area rather than expanding the utilization range offline and analyzing based on the existing individual. The significance of the results of this study is that the personalization recommendation algorithm is applied to a plurality of sales outlets handling the same brand. A meaningful result is derived and a concrete methodology that can be constructed and used as a system for actual companies is proposed. It is also meaningful that this is the first attempt to expand the research area of the academic field related to the existing recommendation system, which was focused on the personalization domain, to a sales store of a company handling the same brand. From 05 to 03 in 2014, the number of stores' sales volume of the top 100 SKUs are limited to 52 SKUs by collaborative filtering and the hybrid filtering method SKU recommended. We compared the performance of the two recommendation methods by totaling the sales results. The reason for comparing the two recommendation methods is that the recommendation method of this study is defined as the reference model in which offline collaborative filtering is applied to demonstrate higher performance than the existing recommendation method. The results of this model are compared with the Hybrid filtering method, which is a model that reflects the characteristics of the offline store view. The proposed method showed a higher performance than the existing recommendation method. The proposed method was proved by using actual sales data of large Korean apparel companies. In this study, we propose a method to extend the recommendation system of the individual level to the group level and to efficiently approach it. In addition to the theoretical framework, which is of great value.

• The Korean Fashion and Textile Research Journal
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• v.17 no.3
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• pp.405-420
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• 2015

The purpose of this study is to identify the differences between clothing size satisfaction and clothing sizing systems of Korean and foreign SPA (specialty retailer of private label apparel) brands according to height group, and provide foundation material that can be used to establish product strategy from the perspective of Korean SPA brand clothing sizes in order to secure competitiveness in the international market. Satisfaction of tall women in their twenties with the clothing sizes of SPA brands was researched, and t-test was conducted to examine differences between clothing size satisfaction of Korean and foreign SPA brands between the two height groups. Then, differences in the size minimum and maximum values, size ranges, size intervals and size numbers between clothing sizing systems of Korean and foreign SPA brands were researched and comparatively analyzed. Existing clothing sizes need to make improvements considering the lengths and shoulder width of tall consumers. And Korean SPA brands need to diversify the range and number of sizes in the clothing sizing system, and set a separate tall-size group, or apply the relationship between vertical and horizontal sizes of clothing to establish a clothing sizing system. A product strategy that applies the results of this study will solve the clothing size dissatisfaction of tall female consumers and stimulate sales of Korean SPA brand clothing products. The study has value in that it extracted realistic problems by researching clothing sizing systems of products that are actually sold.

• Journal of the Korean Home Economics Association
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• v.44 no.5 s.219
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• pp.21-33
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• 2006

The purpose of this study were 1) to analyze customer relationship management(CRM) based on the online customer experiences by product types (i.e., men's, women's, casual, sports wear), 2) to analyze CRM based on the off-line customer experiences by product type, and 3) to examine customer purchase behavior of fashion products and internet usage behavior by product types. Survey and 1:1 interview were conducted from January 13th to May 16th, 2005. Six consumers from each brand (i.e., 3 loyal customers and 3 general customers) in a total of 24 customers were selected from each product type. For the data analysis, content analysis and descriptive statistics (i.e. frequency) were used. Among the key study findings first, as a result of the on-line CRM experience, the customers of men's wear preferred receiving customized information through e-mail or SMS service. The customers of sports wear preferred receiving a different level of information and participating in customized product service. Second, as a result of the off-line CRM experience, the customers of men's wear need to be encouraged to join a membership at a sales encounter and the customers of women's wear preferred receiving quick information of new products and participating in a design development planning of the merchandising process. Third, the purchasing behavior of the customers of women's wear are influenced mostly by the salesperson and the store atmosphere when they purchase clothes and the customers of men's wear are price-sensitive. The results of this study can be used when fashion brands perform strategic planning and decision making on CRM.

• The Journal of Industrial Distribution & Business
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• v.2 no.2
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• pp.25-38
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• 2011

After the financial crisis, what has been the rapidly growth of large supermarkets, stores, and restaurants linked to concerns that have already reached saturation point, but the new opening large supermarkets is expected to continue into the future. The major supermarkets are continue to grow outward but growth slowed. And that is expected to continue differentiation of the product, acceptance the customer needs, acquiring high margin of sales products. Then the ongoing development of PB brand is to be positioned effective marketing strategy for overcoming the period of slow growth. In addition, big three local supermarkets continue to launch a clothing PB brand, expansion and operation strategy for the situation and based on this study and the success of the domestic large-Mart's PB and PB identifying problem and the need for differentiation and profit for the successful strategy is to discuss in this study. This research looks at the concept of major market's private brand, the strategy, the success example and the prospects, and views the globally rapid-growing private brands, not only having the limited role of distributing the products as retailers, but also having a control of the distribution channel as a manufacturing company. World's major advanced distribution companies, to differentiate their companies' products and increase the profitability, are putting a lot of efforts into private brand products, and there are many good examples that are globalizing, externally expanding, and creating high financial results. In this research, we presented three major domestic discount stores as examples to show that there is a need for a differentiated private brand management strategy in the saturated discount store industry in Korea. Also, we aim to provide a new product strategy for the future that has been saturated with discount stores to the limit, by providing suggestions that private brand products can be used as weapons with the strongest competiveness in the retail industry through pursuing store differentiations from thorough market analysis and product researches, meeting the customers' needs, and obtaining high margins. PB products, particularly clothing design, a thorough market analysis and product development trends and customer needs to reflect the acquisition of High margin differentiated powerful products and sustainable growth through the stores, large supermarkets, congested, a new breakthrough that can give a good opportunity to provide implications discount stores, new product strategy based on ways to limit proposed. This study discount the major three companies studied, the less strain is a generalization. In the future, domestic and local discount store brand PB, SPA brand that the multinational comparative analysis of the value of the PB expansion strategy centered on clothing, additional studies will be needed.