• Title/Summary/Keyword: The Number of Stores

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The Impact of SSM Market Entry on Changes in Market Shares among Retailing Types (기업형 슈퍼마켓(SSM)의 시장진입이 소매업태간 시장점유율 변화에 미친 영향)

  • Choi, Ji-Ho;Yonn, Min-Suk;Moon, Youn-Hee;Choi, Sung-Ho
    • Journal of Distribution Research
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    • v.17 no.3
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    • pp.115-132
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    • 2012
  • This study empirically examines the impact of SSM market entry on changes in market shares among retailing types. The data is monthly time-series data spanning over the period from January 2000 to December 2010, and the effect of SSM market entry on market shares of retailing types is analyzed by utilizing several key factors such as the number of new SSM monthly entrants, total number of SSMs, the proportion of new SSM entrant that is smaller than $165m^2$ to total new SSM entrants. According to the Korean Standard Industrial Classification codes, the retailing type is classified into 5 groups: department stores, retail sale in other non-specialized large stores(big marts), supermarkets, convenience stores, and retail sale in other non-specialized stores with food or beverages predominating (others). The market shares of retailing types are calculated by the ratio of each retailing type monthly sales to total monthly retailing sales in which total retailing sales is the sum of each retailing type sales. The empirical model controls for the size effects with the number of monthly employees for each retailing type and the macroeconomic effects with M2. The empirical model employed in this study is as follows; $$MS_i=f(NewSSM,\;CumSSM,\;employ_i,\;under165,\;M2)$$ where $MS_i$ is the market share of each retailing type (department stores, big marts), supermarkets, convenience stores, and others), NewSSM is the number of new SSM monthly entrants, CumSSM is total number of SSMs, $employ_i$ is the number of monthly employees for each retailing type, and under165 is the proportion of new SSM entrant that is smaller than $165m^2$ to total new SSM entrants. The correlation among these variables are reported in

    .
    shows the descriptive statistics of the sample. Sales is the total monthly revenue of each retailing type, employees is total number of monthly employees for each retailing type, area is total floor space of each retail type($m^2$), number of store is total number of monthly stores for each retailing type, market share is the ratio of each retailing type monthly sales to total monthly retailing sales in which total retailing sales is the sum of each retailing type sales, new monthly SSMs is total number of new monthly SSM entrants, and M2 is a money supply. The empirical results of the effect of new SSM market entry on changes in market shares among retailing types (department stores, retail sale in other non-specialized large stores, supermarkets, convenience stores, and retail sale in other non-specialized stores with food or beverages predominating) are reported in
    . The dependant variables are the market share of department stores, the market share of big marts, the market share of supermarkets, the market share of convenience stores, and the market share of others. The result shows that the impact of new SSM market entry on changes in market share of retail sale in other non-specialized large stores (big marts) is statistically significant. Total number of monthly SSM stores has a significant effect on market share, but the magnitude and sign of effect is different among retailing types. The increase in the number of SSM stores has a negative effect on the market share of retail sale in other non-specialized large stores(big marts) and convenience stores, but has a positive impact on the market share of department stores, supermarkets, and retail sale in other non-specialized stores with food or beverages predominating (others). This study offers the theoretical and practical implication to these findings and also suggests the direction for the further analysis.

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  • The Analyses of the Operational Efficiency and Efficiency Factors of Retail Stores Using DEA Model (DEA 모형을 활용한 소매점의 효율성 및 결정요인 분석)

    • Ko, Kyungwan;Kim, Daecheol
      • Korean Management Science Review
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      • v.31 no.4
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      • pp.135-150
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      • 2014
    • This paper analyzes the operational efficiency of 91 individual retail stores in Seoul by a two-step procedure. In the first step, a data envelopment analysis (DEA) model is used to identify the efficiency scores. Three inputs (store size, number of items, and number of employees) and two outputs (sales and number of customers) are used for the efficiency measurement. In the second step, a Tobit regression model is used to identify the drivers of efficiency. DEA efficiency scores are used to test hypotheses on the impact of five independent variables, namely store age, number of items per store size, number of items per employee, trade area index, and number of competitors. Results of the Tobit analysis show that number of items per store size, number of items per employee, and number of competitors play a significant role in influencing the operational efficiency of retail stores. Managerial implications of the study are discussed.

    Multi-Channel Behavior for Fashion Product Purchases and the Difference of Perceived Risk by Channel Type -The Case of College Men and Women- (패션 상품 구매 과정에서의 다중 경로 활용과 경로별 위험 지각 차이 -대학생 성별에 따른 비교-)

    • Chung, Ihn Hee
      • Journal of the Korean Society of Clothing and Textiles
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      • v.38 no.2
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      • pp.277-292
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      • 2014
    • This study investigated consumers' multi-channel behavior for fashion product purchases and compared perceived risks by channel type. A survey involving male and female college students was conducted in the Daegu and Gyungbuk area in December 2013. A total of 400 responses were analyzed using descriptive statistics, chi-square analysis, independent sample t-test, paired t-test, factor analysis, and reliability analysis. An internet shopping mall was the most frequently chosen retailer type for fashion product purchases and information searches. In addition, respondents also preferred independent branded stores, department stores, and non-branded stores. The number of retailer types for clothing item purchases ranged from 1 to 6 and the average was 3.06. The number of retailer types was significantly higher in women groups according to gender variables. Perceived risk had the highest evaluation score for internet shopping malls. Department stores were recognized as a reliable retailer type. The construct of perceived risk was shown as similar in off-line stores such as department stores, independent branded stores, and non-branded stores. Instead, the construct was differentiated from the case of internet shopping malls. Some insightful suggestions were suggested for future research and industrial marketing plans based on the results.

    Consumer Characteristics Influencing the Consideration Set of Stores in Purchasing Apparel Products (의류제품 구매 시 고려점포군 형성에 영향을 미치는 소비자 특성 연구)

    • Kim, Han-Na;Rhee, Eun-Young
      • Journal of the Korean Society of Clothing and Textiles
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      • v.32 no.2
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      • pp.201-211
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      • 2008
    • The purpose of this study was to clarify the concept of consideration set of stores and to contribute to the prediction of consumers' store behavior by finding out which consumer characteristics affect the formation of consideration set of stores. The data were collected from 553 female consumers. Factor analysis, K-cluster analysis, and ANOVA were used for data analysis. The results of this study were as follows: First, the respondents were classified into seven groups based on the number of stores and store types they considered. Second, there were significant differences among groups in consumer characteristics such as knowledge, motivation, and solubility; especially, the differences were related to the number of considering store rather than the types of considering store. In other words, the more involvement in clothing and the more experience and knowledge about apparel purchases a consumer had, the more stores the consumer considered. This study is meaningful in that it provides a systematic organization of the concept of consideration set of stores.

    A Geostatistical Analysis of Retail Coffee Store Distribution (위치정보를 활용한 커피 전문점의 입점 분석)

    • Lee, Dongyoup;Youn, Youngtae
      • Journal of Information Technology Services
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      • v.15 no.2
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      • pp.203-217
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      • 2016
    • This paper explores the distribution of the retail coffee franchise stores in Seoul using geostatistical analyses. The fact that lots of coffee stores are concentrated in the central area-Jongno and Jung-gu and commercial area-Gangnam and Seocho shows that the size of the floating population and potential customers is one of main drivers for making decisions on the locations of new stores. Except these 4 districts, the number of stores and population exhibit a positive correlation. By extracting the information on the 6 large coffee franchises store locations, we calculate the both haversine distances between stores of the same franchise and between stores of different franchises. We then empirically test the sitting and marketing strategies of Starbucks, Ediya, and Paik-Dabang using distance distributions. Significant pairs of Starbucks stores located within 100m confirm the sitting strategy of Starbucks which opens additional stores at crossways, stations, near shopping malls or other business zones though there already exist Starbucks stores. Meanwhile considerable portion of Ediya stores are found near Starbucks stores, which coincides with the sitting strategy of Ediya. We also find that Paik-Dabang that uses the low cost strategy has its stores open relatively farther than other franchises from Starbucks stores.

    Determinants of the Consumer's Search for Information -Focusing on durables Goods Purchases by American Consumers- (소비자 정보탐색의 결정요인-미국소비자들의 내구재구매행동을 중심으로-)

    • 여정성
      • Journal of Families and Better Life
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      • v.7 no.1
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      • pp.15-25
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      • 1989
    • The purpose of this study is to examine the factors affecting the consumer's search for information and the relationship between the amount of search and the final price paid. The model indicates the demand for search is affected by the market price of each durable good purchased, the tim available for search, family income, direct cost of search, the initial stock of information, effectiveness of search, and shopping attitudes. The final price savings are a function of search, price of dispersion in the market, the initial stock of information, and effectiveness of search. Data from the Pane Study on Consumer Decisions and Asset Management were used for the empirical testing of the theoretical model. The amount of information search as dependent variable is represented by two different measures, the level of discussion with others and the number of stores visited. The amount of discussion with others depends mainly on the respondent's shopping attitude. The higher the wife's desire to search, the higher the degree of husband's comparison shopping, the less the husband's perception of price-quality relationship, the higher the level of discussions with others. The number of stores visited depends on the average market price of product purchased and the level of family income. The higher the average market price and he higher the level of family income, the greater the number of stores visited. The final savings depend upon the level of information search. The greater the number of store visited, but the less the purchase is discussed with stores, the higher the final savings are.

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    Management Efficiency Analysis of Local Food Stores in Jeonbuk (전북지역 로컬푸드 직매장의 경영효율성 분석)

    • Jang, Dong-Heon
      • Journal of Korean Society of Rural Planning
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      • v.26 no.2
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      • pp.13-24
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      • 2020
    • This study analyzed the management efficiency of local food stores that are increasing recently. The analysis targeted 25 local food outlets in Jeonbuk area, and the analysis method analyzed the efficiency by CCR model. The input variables used to analyze the input-oriented efficiency of local food stores are business expenses, employees, organizational number of participating farms, and number of items, and sales are used as output variables. The main contents of the analysis are as follows. First, local food outlets increased due to support projects such as the government, local governments, and agricultural cooperatives, but their dependence was high. Second, the management efficiency of 25 local food stores in Jeonbuk is 28.0% when the efficiency is 1.000, and 72.0% of inefficient local food stores. Third, considering the projection point and the reference group, there was room for improvement in input variables. Therefore, it was determined that improvement efforts are needed to secure the continuity of local food outlets in the future. However, this study will require review of variable selection and analysis methods for further analysis.

    A Study on The Conditions of The Department Stores in Seoul -Emphasis on the Layout of the Fashion Zone and Brands- (국내 백화점의 패션매장 구성과 브랜드 전개현황 분석)

    • 유지헌
      • The Research Journal of the Costume Culture
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      • v.9 no.3
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      • pp.357-374
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      • 2001
    • This study analyzed the trends of fashion market in 15 branch stores of 3 major department stores in Seoul. The purposes of this study were to classify fashion zone and brands in each floor of the department stores, and to analyze the rate which a fashion brand was located department store. The results were as follows : 1. There were sundry goods on main floor, women\`s clothings on 2-4th floor, sports & golf wears and infants & children\`s clothings from 6th floor to the top in most department stores. 2. Lotte Chamshil branch had the largest number of fashion brands in it, the nest was Lotte Main store and followed by Hyundai Chunhoe branch, Shinsegae Gangnam branch, Hunndai Shinchun branch, Lotte Gangnam branch, Hyundai Main store, Hyundai Muyeuk-Center branch, and Lotte Youngdeungpo branch, etc. 3. The fashion categories of the Lotte Department stores were segmented as the Casuals (character, young, young basic, career, town, jean, city), Young worlds, Imported beautique, Madams, Designers(beautique), Intelligences, Unisex, Ladies formal wears, the Seasonables, and the Formals, Missy Careers. This was the most various fashion market segments among 3 major department stores. This store had 667 Women\`s fashion and Casual brands. The Chamshil branch and Main store were intensified the Casual & sundry goods on 5th floor. 4. The fashion categories of the Hundai Department stores were segmented as Women\`s wears, Women\`s casuals, Young-Adult, Young live, Women\`s former wears, Royal beautique and Young characters. It was less segmented than other Department stores. Total number of Women\`s fashion and casual brands were 471 brands. The market segmentation of fashion zone was well done at Chunho branch and Shinchun branch. It was intensified that Fashion sundry goods at Muyeuk-Center branch and The Women and Young fashion zone at Chunho branch. 5. The fashion categories of the Shinsaegae Department stores were segmented as Casuals (young, young character, X-, missy, career, character), Imported beautique, Designer\`s characters, Young basics, Elegance, Missy, Young weave, Original brands. This store had 304 Women\`s fashion and Casual brands. Shinsaegae has also developed it\`s own brand(PB items) and classified as the Original zone which differentiated it from other Departments. 6. The Deco was the most popular brand in the department stores, the next were Micha/Botticelli, and followed by Darks/System/lzzat Baba, Givy/Obzee/Lee won jae/Kim yeon Joo, and so on. The target of 6 out of 10 brands which were included in here were career women of age 20 to 30 ages. The price rate were from 200,000 won to 300,000 won.

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    The Effects of Traditional Market Support Projects and Competition Intensity of Stores on Store Sales and Number of Visitors (전통시장 지원사업과 경쟁 강도가 점포매출액과 방문고객 수에 미치는 영향)

    • Lee, Chul-Sung
      • Journal of Distribution Science
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      • v.17 no.3
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      • pp.97-105
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      • 2019
    • Purpose - The purpose of this study is to investigate the effect of the government support project on traditional market and the interaction effect between the government support project and the competition intensity. Therefore, this study focuses on the competition intensity of individual stores in traditional markets, unlike the traditional research flow, which is beyond the competitive structure of traditional markets and large retailers. Research design, data, and methodology - This study is based on the data of 'Statistics of Traditional Market in 2017'. In this study, a multiple regression equation was constructed using the number of government support projects as an independent variable, competition intensity as an interaction, and sales per store, number of customers per store as a dependent variable for analysis. A multiple regression equation was constructed for the main effect analysis. To investigate the effect of the interaction, cohen(1980)'s regression equation and two-way ANOVA were used. Results - First, according to this study, the traditional market participated in the government support project showed that the sales and the number of visitors per store in the traditional market were higher than those in the non-participation market. Second, the impact of government support projects on sales per store(also number of visiting customers per store) can be different depending on the competition intensity. More specifically, if the market is politically supported by a market with a high level of competition, it may be more effective than the market with no support. Conclusions - Based on the results of the study, we suggested academic and practical implications and suggested that competition intensity of stores in the traditional market should be considered in the future. The implications of this study are as follows. First, the effects of the government's traditional market support project were analyzed empirically. Second, this study is different from the previous studies in that it examined the competitive strengths and the effects of individual stores in traditional markets, away from competition between traditional market and large retailers. Third, it provided practical implications for the operation of government support projects.

    A qualitative research on the nail shop's store attributes - Focused on independent stores - (네일샵의 점포속성에 관한 질적연구 - 단독 매장을 중심으로 -)

    • Lim, Yun-Kyoung;Kwak, Tai-Gi
      • Journal of the Korea Fashion and Costume Design Association
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      • v.21 no.3
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      • pp.67-80
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      • 2019
    • The purpose of this study was to clarify store attributes for nail stores (focusing on independent stores) by qualitative research. Even though the nail market is showing a steady increase in terms of sales amounts, and the number of stores, related studies were very rare. Meanwhile, as long as the nail market is growing, many stores are suffering from bad business performance because of new nail stores are relatively easier to open than beauty or hair stores, but the nail stores don't have a discriminated marketing strategy. As nail the market is rapidly increasing, finding factors that led to success for nail stores is very meaningful, both for academics and business. The reason that qualitative research should be done before the quantitative research is due to scant theoretical background concerning this matter. For this qualitative research, 8 experts who are operating nail stores as an owner or a manager or a professor at a university who had over 5 years of related working experience were included. The attributes for nail stores were derived using one-to-one in-depth interviews conducted from March 3 to May 31, 2019. As a result of the qualitative studon the attributes for nail stores, it turned out that there were 5 factors-physical environment, product, speed, profitability, and reliability. Physical environment, product, and profitability were mentioned in most related surveys, but some details showed that and speed and reliability have been newly highlighted. Many unknown issues that were not easy to acquire from common academic research are included. After this study, I hope that many marketers may get basic conditions to apply to real businesses and that they can use it as effective data for the following quantitative research.


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