• The Research Journal of the Costume Culture
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• v.27 no.1
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• pp.33-45
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• 2019

This study identified types of online retail internationalization in the fast-fashion context and proposed driving factors of retailers' choices in online-based market entry following the logic of the Uppsala model and the eclectic theory. In particular, this study proposes three types of online-based internationalization: 1) entering a host market with a physical store first, and then expanding with an online store, 2) entering a foreign market with an online store, then expanding to physical stores, and 3) entering only with an online business. In addition, this study investigated the causal factors, ownership-specific and location advantages, that influence the choice of the type of developmental process of online-based internationalization. To develop theoretical and managerial insights into the issue researched, this study employed a qualitative research design involving case studies of three European fast-fashion retailers, H&M, TOPSHOP, and ASOS. This study suggested that fast-fashion retailers that enter a host market with high ownership-specific advantages are likely to choose to enter the market with physical stores and then expand with online stores. On the other hand, when faced with uncertainties attributable to low ownership-specific or location advantages, fast-fashion retailers are likely to choose to enter with an online store first and then expand with physical stores as conditions change. Consequently, this study provides a better understanding for fast-fashion retailers who are willing to expand their businesses to foreign markets via online stores.

• 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.

• The Journal of Asian Finance, Economics and Business
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• v.9 no.2
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• pp.229-242
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• 2022

Creating a new retailing environment to meet the seamless experience requirements of consumers is a challenge for Omnichannel-related businesses. Based on the "appraisal-emotion-response" chain, the purpose of this research is to explore the psychological mechanism of omnichannel integration influencing customer retention and the moderating effect of customer showrooming experience. This research uses a structural equation model in partial least square software to analyze a two-stage survey (Study 1: n = 210; Study 2: n = 342) conducted in China. The results show that channel control experience has three dimensions: perceived channel attribute familiarity, channel type matching, and cross-channel access convenience; consistent interactive experience has two dimensions: information cross-channel consistency and cross-channel service support. Furthermore, both channel control experience and consistent interactive experience are favorable for customer retention through increased customer satisfaction (transactional and retailer satisfaction). Finally, customer showrooming experience positively moderates the relationship between consistent interactive experience and customer satisfaction. This research proposes a self-regulation process model to explain how omnichannel integration enhances consumers' experience, finally leading to consumer retention. The findings contribute to the omnichannel retail business literature and provide management implications for Asian retailers to implement an omnichannel business strategy.

• Fashion & Textile Research Journal
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• v.24 no.6
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• pp.756-765
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• 2022

The purchase-related responses of MZ generation consumers may vary depending on the environmental factors of the fitting room. Therefore, this study extracted and systematized fitting room characteristics in the retail fashion environment. In-depth interviews were conducted with a total of 50 informants to collect data on the experience of using the fitting room. Then, a qualitative analysis was performed. First, results confirmed that the environmental factors of the fitting room include physical (spatiality, functionality, comfort, and convenience) and human (interactivity and congestion) aspects. Next, additional analysis was performed on functionality and interactivity to clarify the influence of environmental characteristics of the fitting room. These factors were classified into qualitative categories. The study results confirmed that, in the case of functionality, preferred lighting and mirror factors vary depending on the clothing product type, the place and situation for wearing, and individual characteristics. Furthermore, regarding interactivity, the preference for the presence of sales staff or companions differed according to personal traits and the need for additional information and evaluation. The study provides valuable information for effective fitting room space planning for offline fashion stores to meet the needs of MZ generation consumers.

• The Journal of the Korea Contents Association
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• v.16 no.3
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• pp.553-562
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• 2016

Then, it investigated the investment preference through the previous studies to analyze the influence factor of investment satisfaction and demonstrated the effects through the PLS (Partial Least Squares) regression. In addition, it separated the target type to institutional investors and retail investors and carried out the survey for comparing the investment preference of investor type. The result of analysis found out that institutional investors emphasis on investment preference such as the Inflation hedge, Early payback, Financial stability, Leverage risk and etc. Then, general investors emphasis on investment preference such as the Rental income, Facilities and Equipment, Business area and population, Ease of use, Leverage risk, Early payback and etc. In addition, common investment preferences are the Leverage risk, Early payback and Facility accessibility.

• The Research Journal of the Costume Culture
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• v.25 no.5
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• pp.543-560
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• 2017

The aim of this paper is to find which types of pop-up store positively influence consumers and to analyze the factors that affect brand attitude and behavioral intention across different fashion pop-up store formats. The data was collected from 217 respondents in their 20s and 30s and then subjected to descriptive statistical analysis, oneway ANOVA and regression analysis using SPSS Statistics. The results of the oneway ANOVA test indicated that the 'Pop-up store of alliance with different kinds of industries' is the most effective type for increasing brand preference and brand recognition amongst consumers. Some further insights can be made from the regression analysis results. There are differences between pop-up store formats in terms of the cognitive factors influencing brand attitude and behavioral intention. Moreover, there are differences between pop-up store formats in terms of brand attitude factors influencing behavioral intention. Through the results of this study, fashion companies can determine the best type of pop-up store to open depending on their aims. In conclusion, this study provides valuable insights to fashion marketers, helping them to determine the appropriate factors to consider when planning fashion pop-up stores. Academically, this paper contributes to expanding the range of research on fashion pop-up retail by studying consumer experiences of different pop-up store types.

• Journal of Distribution Research
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• v.13 no.3
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• pp.127-154
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• 2008

For the large scale retailers such as chain discount stores and specialty stores, having measurement tool to maintain service quality can be very crucial to sustain high and same level of service qualities around multiple stores. This study aims to develop service quality scales of large-scale stores using Korean discount store cases. We have studied the previous service quality measures including RSQS(Retail Service Quality Scale) and have modified and developed our own scale model called KD-SQS(Korea Discount Service Quality Scale). The following six components have been revealed as the basic dimensions of service quality of Korean discount stores: basic benefits, promotion, personal interactions, physical aspects, policy and additional convenience. Our scales have been verified through various validity and reliability tests.

• The Journal of Korea Institute of Information, Electronics, and Communication Technology
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• v.14 no.1
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• pp.70-77
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• 2021

This paper was reclassified industries related to the 4th industrial revolution into manufacturing, information and communication services, finance and insurance services, and science and technology services by comparing the industry association table with the Korean standard industry classification. And the economic ripple effect was analyzed by exogenizing the four sectors of the industry using a demand-driven model. The wholesale and retail and product brokerage services were measured to be large in the manufacturing, information communication services, and science technology service sector according as a result of analysis of the production inducement effect, added value inducement effect, and employment inducement effect. And the financial and insurance services were analyzed to be large in the financial and insurance services sector. The import inducement effect was analyzed to be the largest in all sectors of the fourth industry. As a result of the forward and backward linkage effect, it was confirmed that the manufacturing and the information communication services sector were the intermediate primary production type sensitive to economic fluctuations. Also it was confirmed that the financial and insurance services and the science technology services sector were the final primary production type.

• Journal of Distribution Science
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• v.7 no.3
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• pp.5-24
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• 2009

In the retail management, store location has an important influence like business skills. The reason for failure to selecting location is that the market analysis model is not popular in business field. It gets worse in supermarket industry. Currently, store developers are relying on simple statistics and the sixth sense as market analysis techniques. lt proves that the market analysis model is not distributed well in the field. This market analysis model can apply to medium and small business market using an existing market analysis model, broad market model. And its study outcome can be theorized as a result. Converse's new retail model can be used as to analyze junction market. Pareto_Huff model can also be used to compute shopping probability. To do so, this study can be divided into walking distance market and driving distance market as a model market. Also it examines industry type such as SM and SSM. By taking consumer survey, condition of consumers to select store will be counted in shopping probability so that it improves the objectivity and reliability. Through this process, derived study outcome can be a new estimated revenue model for practical application of selecting store location in large and medium-sized supermarket.

• Journal of Distribution Research
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• v.12 no.2
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• pp.79-102
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• 2007

Consumers evaluate stores by comparing stores that we, in their minds, similar and are competitive with one another; and in this way, the term "consideration set of stores" is defined as those store alternatives the consumer is aware of and evaluates positively. The purpose of this study is to aid in understanding the consideration set of stores in store choice processes in apparel product purchases. More specifically, this study aims to clarify the relation between consideration set of stores and importance of store image. As a result, the respondents of quantitative study were classified into seven groups by the number of stores and store types they considered: 1) "small-road shop sets group" ; 2) "small-market sets group" ; 3) "small- department store sets group" ; 4) "small-department store/outlet sets group" ; 5) "large-department store/market sets group" ; 6) "large-department store/road shop sets group" ; and 7) "large-department store sets group". Further, significant differences among the groups in the importance of store image were observed. For example, low prices were an important factor in both the small-market considering group and large-department store/market considering group when choosing a retail store, there were also differences in the considering groups in that for the small-department store considering group, store mileage-discount cards were important whereas ample space for relaxation around the stores were important retail store selection factors for the large-department store/road shop considering group. This study may provide a useful direction to retailers in finding out who the target customers and competitive stores are and allow retailers to make proper marketing strategies.