• Knowledge Management Research
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• v.17 no.3
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• pp.45-64
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• 2016

As the digital retail environement becomes prevalent, consumers are given greater opportunities to make purchases across physical and digital boundaries. Prior research emphasizes that the attractiveness of the digital or online channel is relatively determined by spatial specifics of physical locations. The overall market trend combined with prior research suggests that understanding spatial specifics becomes a key to managing both offline and online sales performance together. In this study, we focus on geographic variation in sales performance through offline and online channels and aim to investigate the channel-level sales difference between central and subsidiary areas. To this end, we obtain sales data of skincare and makeup products from a leading cosmetic company. Next, we examine spatial autocorrelations in data and then employ the spatial error models to study the effects of spatial specifics. The empirical findings are as follows. First, there are significant differences in category-specific and channel-level sales between central and subsidiary areas. Second, Moran's I statistics demonstrate the spatial autocorrelations of each variable. Third, spatial error models outperform simple regression models with lower AIC values. Finally, spatial specifics play a greater role in understanding online sales in subsidiary areas whereas they exert greater influence on offline sales in central areas. We believe our study advances the related theory and knowledge of multi-channel retailing and also contributes practically to location-dependent multi-channel strategies and sales data analytics.

• Korea Trade Review
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• v.43 no.1
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• pp.131-152
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• 2018

This study evaluates the potential by Chines region for entry of Korean logistics companies and retailers. The variables affecting e-commerce business and retail sales concerning the Chinese omni-channel market were extracted from a thorough literature review. Empirical analyses for variables based on 31 regions in China were performed. Results show that e-commerce is affected by disposable income and internet traffic and that retail sales are affected by urban and rural population, GRDP and urbanization. In addition, we performed variance decomposition analysis in order to estimate responses of logistics GDP(transport, storage and communication) and the number of Chinese mobile users. Exogenous shocks to logistics GDP and the number of mobile phone users play a strong role in explaining the forecast error of express service variance over time. Based on our results, we suggest 7 potential regions(Guangdong, Jiangsu, Zhejiang, Beijing, Shanghai, Liaoning and Shandong) as well as managerial implications for entry into China for logistics companies and retailers.

• Journal of Internet Computing and Services
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• v.23 no.3
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• pp.125-135
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• 2022

This study aims to explore variables using machine learning and provide analysis techniques suitable for predicting pharmacy sales whether government statistical indicators built to create an industrial ecosystem based on data, network, and artificial intelligence affect pharmacy sales. Therefore, this study explored predictive variables and performance through machine learning techniques such as Random Forest, XGBoost, LightGBM, and CatBoost using analysis data from January 2016 to December 2021 for 28 government statistical indicators and pharmacies in the retail sector. As a result of the analysis, economic sentiment index, economic accompanying index circulation change, and consumer sentiment index, which are economic indicators, were found to be important variables affecting pharmacy sales. As a result of examining the indicators MAE, MSE, and RMSE for regression performance, random forests showed the best performance than XGBoost, LightGBM, and CatBoost. Therefore, this study presented variables and optimal machine learning techniques that affect pharmacy sales based on machine learning results, and proposed several implications and follow-up studies.

• Journal of Cadastre & Land InformatiX
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• v.44 no.1
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• pp.213-226
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• 2014

The objective of this paper is to investigate the factors determining the premium of coffee shops by using coffee-shop lease cases at main retail trade areas in Seoul. The focus is on analyzing that the coffee-shops' the sales, building, location and retail trade area characteristics affects the coffee shop's premium. The major findings are as follows. First, there is a high positive correlation between the premium and the sales, and the sales and the size of the shop are shown to be statistically significant variables in estimating the premium per $3.3m^2$. It means that the shop's sale is empirically important an independent variable in determining the premium and as the major costs in the process of starting the business. Second, the deposit money per $3.3m^2$ and public service officers in the retail areas are important in determining the premium. Third, the size of the shop have the effects on the premium per $3.3m^2$ negatively. In short, this study adopts the research hypothesis that retail trade area, location, building of the characteristics, which is located in the coffee shops have the effects on the premium.

• Korean Institute of Interior Design Journal
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• v.21 no.2
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• pp.174-185
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• 2012

The purpose of this study is to suggest planning strategy of tenant mix for UEC based on the final result of tenant mix analysis of five different research cases. The following is the comprehensive explanation about the result of tenant mix planning strategy for UEC currently in operation and when planning a new facility. First, overall research cases in this study show the tendency of following an old tradition, which stresses direct sales focusing on retail and dining adaptation. In order to compensate the defect, it is suggested to adopt new type of tenants with the functional mix of retail and dining with entertainment rather than decreasing the proportion of retail and dining tenant and increasing it of entertainment tenant. Second, the floorplan of UEC should adopt racetrack or circuit form that can stimulate shoppers' circular movement so to expose them to as much tenants as possible. Service consumption mode related tenants are required to place on the side or the edge of UEC, while retail consumption mode related tenants should be planned in the center. Among dining consumption mode related tenants, impulse dining tenants like a coffee shop should be placed at the turning point or at the end of the pathway, destination tenants like a restaurant and a food court, on the other hand, is needed to be placed in the center of the space. In case of Entertainment related tenants, destination tenants like bookstore or multiplex should also be placed at the end of the pathway, and on the way to those tenants, it is required to place general tenants that can share target customers with them. On the contrary, game center or record shop like tenants that can stimulate impulse sales should be placed on the visitor's main move or near the other destination tenants. Third, anchor tenants play an important role in gathering people to the UEC, and then induce them to visit the other tenants that are located near the anchors. Thus it is suggested to plan to place general tenants on the same floor as anchor tenants are placed so they can share the characteristics of target customers which create synergy effect.

• Journal of Korean Institute of Industrial Engineers
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• v.32 no.4
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• pp.382-392
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• 2006

Vendor-managed inventory policy(VMIP) is a supply-chain initiative where the supplier is authorized to manage inventories of items at retail locations. In VMIP, the supplier monitors sales and stock information at retail locations and makes decisions of inventory replenishment and transportation simultaneously. VMIP has been known as an effective supply chain strategy that can realize many of benefits obtainable only in a fully integrated supply chain. However, VMIP does not always lead to lower the supply chain cost. It sometimes generates the total supply chain cost higher than the traditional retailer-managed inventory policy (RMIP). In this paper, we perform a comparison study on RMIP and VMIP in the retail supply chain which consists of a single supplier and a number of retailers. We formulate mixed integer programming models for both RMIP and VMIP with vehicle routing problems and perform computational experiments on various test problems. Furthermore, we derive the conditions which guarantee the dominant position for VMIP with respect to total supply chain cost in the simple retail supply chain.

• Journal of Distribution Science
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• v.19 no.3
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• pp.49-60
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• 2021

Purpose: This study aims to utilize geographic data to analyze how various retail formats of large-scale stores around the traditional market affect the performance of the traditional market in Seoul, Korea. Research design, data, and methodology: The two types of catchment areas were demarcated (circle of 1km radius and Thiessen polygon) for each traditional market, and the large-scale stores located within each catchment area were identified for 153 traditional markets in Seoul, Korea. Additionally, multiple regression analysis was utilized. Results: The results revealed that the influence on the performance of the traditional markets were different depending on the retail format of the large-scale stores. Large discount stores were found to have a negative effect on the sales and the visitors of traditional markets, whereas complex shopping malls and department stores had a positive effect on the traditional markets. Conclusions: As a result of the differences in the retail format such as product categories and leisure functions, the impact of some large-scale stores on the traditional market may have a greater agglomeration effect than the consumer churn effect. Therefore, it is suggested that in the regulation of these large-scale stores, the differences in retail format should be considered for the future.

• The Journal of Economics, Marketing and Management
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• v.5 no.3
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• pp.12-20
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• 2017

The study examined effects of psychological change of distribution environment upon commercial areas to investigate consumers' experience and theory and to suggest power of new management strategy for growth of retailers A The study investigated actual conditions of business transaction of hyper market by blind interview. In April, 2016, the author visited 6 manufacturers to do depth interview. The questionnaire between food manufacturers and hyper market investigated the Association of Food Industries in Korea, NH Nonghyup and large manufacturers in July 2012. Questionnaires of 25 companies were used after excluding questionnaire having poor and inadequate answers. The sales commission with large scaled distribution business decreased (0.3 ~ 0.7) to increase additional expenses such as number of salesmen, interior expenses and economic costs (0.7 ~ 40%). (source: Fair Trade Commission). Fair Trade Commission released types and notice of unfair trade of large scaled retail business based on monopoly regulation and fair trade (hereinafter called 'notice of large scaled retail) to prevent large scaled distribution business from doing unfair trade. The notice controled unfair trade at different position between large scaled distribution business and small vendors.

• Journal of Global Scholars of Marketing Science
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• v.16 no.1
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• pp.117-141
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• 2006

Daily sales volume in retailers seems to be changed because of five-days-work in a week resulting in growth of leisure time in Korea recently. The day of the week effect of sales volume that can not be theoretically explained, which sales pattern varies depending on days systematically and consistently, is so important. Especially the day of the week effect of sales volume exists in which retail branch and the extents of the day of the week effect from the perspective of marketing in retailing is very important. Thus, the purpose of this study was to investigate whether the day of the week effect of sales volume exists in men's clothing retailers and if so, there is difference in daily sales volume. There was insufficient researches in the field of anomaly such as the day of the week effect of sales volume in marketing. For this reason, this study has drawn upon research findings of finance, general demand theory, and previous studies of the day of the week effect in stock markets. In doing so, these works are referenced in theoretical background and applicability in retailing market of this study. This study empirically investigated the day of the week effect of sales volume through the revenues of a men's clothing retailers (P company) in past five years. As the result of this study, the day of the week effect of sales volume existed in men's clothing retailers and the day of the week effect showed positive from Monday to Sunday, which means Sunday, the biggest. Also, the day of the week effect by season was different. The result of this study is expected to provide some helpful evidence that offers effective operational strategies to retailers.

• The Research Journal of the Costume Culture
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• v.29 no.6
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• pp.865-880
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• 2021

The purpose of this study was to examine job competencies for sales training program development to maximize profits in fashion retailing. An empirical online survey was conducted from September to December 2019, and data was collected from 200 salespeople and store managers working in fashion stores. Results were analyzed using frequency analysis, factor analysis, variance analysis, and regression analysis with SPSS 25.0. The major findings of this study were as follows. First, the most important job competencies identified by fashion store managers were: sales sense know-how, customer service skills, and sales person's fashion style sense, product knowledge, fashion marketing and customer management. The job competency factors for sales training programs included empathy with the customer, product knowledge, communications and networking, basic job requirement, and sales skills. These five factors positively influenced the employment intentions and expectations of work performance of graduates. These factors also had a positive influence on the need of sales training program and intention to participate in retraining. Store managers in fashion retail thought the most appropriate period for on-the-job training was either 2-4 days or more than 1 week. The results of this study can be used as a base to develop training programs for job efficiency for salespeople in fashion retailing.