• 제목/요약/키워드: Sales Size

검색결과 409건 처리시간 0.026초

계절형 ARIMA-Intervention 모형을 이용한 한국 편의점 최적 매출예측 (Optimal Forecasting for Sales at Convenience Stores in Korea Using a Seasonal ARIMA-Intervention Model)

  • 정동빈
    • 유통과학연구
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    • 제14권11호
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    • pp.83-90
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    • 2016
  • Purpose - During the last two years, convenient stores (CS) are emerging as one of the most fast-growing retail trades in Korea. The goal of this work is to forecast and to analyze sales at CS using ARIMA-Intervention model (IM) and exponential smoothing method (ESM), together with sales at supermarkets in South Korea. Considering that two retail trades above are homogeneous and comparable in size and purchasing items on off-line distribution channel, individual behavior and characteristic can be detected and also relative superiority of future growth can be forecasted. In particular, the rapid growth of sales at CS is regarded as an everlasting external event, or step intervention, so that IM with season variation can be examined. At the same time, Winters ESM can be investigated as an alternative to seasonal ARIMA-IM, on the assumption that the underlying series shows exponentially decreasing weights over time. In case of sales at supermarkets, the marked intervention could not be found over the underlying periods, so that only Winters ESM is considered. Research Design, Data, and Methodology - The dataset of this research is obtained from Korean Statistical Information Service (1/2010~7/2016) and Survey of Service Trend of Korea Statistics Administration. This work is exploited time series analyses such as IM, ESM and model-fitting statistics by using TSPLOT, TSMODEL, EXSMOOTH, ARIMA and MODELFIT procedures in SPSS 23.0. Results - By applying seasonal ARIMA-Intervention model to sales at CS, the steep and persisting increase can be expected over the next one year. On the other hand, we expect the rate of sales growth of supermarkets to be lagging and tied up constantly in the next 2016 year. Conclusions - Based on 2017 one-year sales forecasts for CS and supermarkets, we can yield the useful information for the development of CS and also for all retail trades. Future study is needed to analyze sales of popular items individually such as tobacco, banana milk, soju and so on and to get segmented results. Furthermore, we can expand sales forecasts to other retail trades such as department stores, hypermarkets, non-store retailing, so that comprehensive diagnostics can be delivered in the future.

Prediction of Sales on Some Large-Scale Retailing Types in South Korea

  • Jeong, Dong-Bin
    • Asian Journal of Business Environment
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    • 제7권4호
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    • pp.35-41
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    • 2017
  • Purpose - This paper aims to examine several time series models to predict sales of department stores and discount store markets in South Korea, while other previous trial has performed sales of convenience stores and supermarkets. In addition, optimal predicted values on the underlying model can be got and be applied to distribution industry. Research design, data, and methodology - Two retailing types, under investigation, are homogeneous and comparable in size based on 86 realizations sampled from January 2010 to February in 2017. To accomplish the purpose of this research, both ARIMA model and exponential smoothing methods are, simultaneously, utilized. Furthermore, model-fit measures may be exploited as important tools of the optimal model-building. Results - By applying Holt-Winters' additive seasonality method to sales of two large-scale retailing types, persisting increasing trend and fluctuation around the constant level with seasonal pattern, respectively, will be predicted from May in 2017 to February in 2018. Conclusions - Considering 2017-2018 forecasts for sales of two large-scale retailing types, it is important to predict future sales magnitude and to produce the useful information for reforming financial conditions and related policies, so that the impacts of any marketing or management scheme can be compared against the do-nothing scenario.

수출성과와 기업특성: 기술혁신요인을 중심으로 (Export Performance and Firm Characteristics: Special Reference to Innovation Factors)

  • 성태경;이종민
    • 기술혁신학회지
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    • 제8권1호
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    • pp.116-134
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    • 2005
  • This paper investigates the relationships between export and firm characteristics, focusing on technology factors. It is based on a longitudinal data covering listed firms in the Korean manufacturing industry. A regression model for the determinant of export/sales ratio including dynamic adjustment process is tested on a cross-section sample of the year 2001. Empirical findings suggest that there is no significant relationship between export/sales ratio and firm's technological level. The hypotheses concerning human capital intensity and physical capital intensity are also rejected. But we found a positive and inversely U-shaped relationship between firm size and export/sales for basic material and capital good industry. As a dynamic aspect, we found that the pattern of export/sales ratio changed unstably over the last decade. Finally, some policy implications are presented.

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시판(市販) 브래지어 판매실태(販賣實態) 연구(硏究) -老年女性用(노년여성용) 브래지어 판매(販賣)를 중심(中心)으로- (A Study on the Sale Conditions of the Current Brassiere Products - Focusing on the Sale of Brassiere for the Elderly Women -)

  • 박은미;김영숙;손희순
    • 패션비즈니스
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    • 제1권3호
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    • pp.60-70
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    • 1997
  • The purpose of this study is to survey the sales of brassieres positively those of elderly women's (aged 50 or older) ones in particular through 72 sales outlets and thereby, in order to present the more comfortable brassiere models which can serve to reinstate elderly women's constitution and provide the useful basic data to brassiere makers and distributors for their business. The results of this survey and the suggestions therefrom can be summarized as follows; 1) Brassieres usually sell at 10,000-20,000 wons, which allows for 15% or more margin rate. Brassieres are disposed through bargain sales once or twice every year where their price are discount 10% or higher. Meanwhile, the majority of the brassieres distributors maintain more than 15% stock rate. The accumulated stocks are primarily disposed through return to makers or bargain sales. About 15% of the brassieres sold are returned by consumers to distributors to be replaced. 2) About a half of distributors operate some or other types of sales education programs. Most of these distributors feel that their educational program have been effective which suggests the effectiveness of sales educational program. On the other hand, 83.3% of the distributors operate in-house repair shops, while the absolute majority of them brief their customers on how to wear brassieres or clean them. 3) Because elderly women's understanding of brassieres sizes is very poor, they tend to ask help of the 'sales people about their sizes before purchasing and proper one personally. In other words, it has been disclosed that old women respond positively to seller's recommendation for their brassiere sizes. 4) It has been found that the brasseries sizes purchased by old women most are. 85A, 90A and 85B in their order, which suggests that the most popular size for under bust circumference is 85~90cm, while their primary cup size is "A". 5) The type of brasseries favored most by elderly women is the "full-cup" type, while their most favorite brassiere design is a soft and simple one. The colors preferred most by them are white, beige and pink in their order. 6) When being consulted by elderly women, sales people experience various difficulties due to their poor understanding of sizes and complaint about prices. Lastly, it has been found through this survey that elderly women want to see some sales promotion material featuring their brassiere sizes and their production arid ask the brasseries makers to produce more diverse brasseries sizes.

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철도역사 편의점 매출에 영향을 미치는 입지요인에 관한 연구 : 스토리웨이(Storyway)를 중심으로 (A Study on the Location Determinants for the Sales of Railroad Convenience Stores - With Focus on the Convenience Store "Storyway" -)

  • 김용래;백성준
    • 부동산연구
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    • 제28권1호
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    • pp.7-21
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    • 2018
  • 본 연구의 목적은 철도역사내에서 영업 중인 스토리웨이 편의점 매출에 영향을 미치는 입지요인에 대하여 분석하고자 함이다. 기존 선행연구는 주거 상업지역 또는 도로변에 위치한 편의점 위주로 이루어졌다. 본 연구는 철도교통로 인한 철도역사의 특성을 반영하여 기존 선행연구와의 차별성을 두었다. 연구의 대상 편의점은 전국 198개 역사 내에서 운영 중인 스토리웨이 301개이며 전국과 수도권으로 구분하여 더미변수와 헤도닉 가격 모형 함수를 활용한 다중회귀분석을 시행하였다. 연구결과 첫째, 철도이용인원과 점포 면적은 매출액에 정(+)의 영향을 미치고 있었으나, 다른 브랜드 경쟁 편의점은 부(-)의 영향을 미치고 있었다. 둘째, ktx정차역 등 국철역이나 전철역 등 철도역사 형태는 매출액에 별다른 영향을 주지 못하며, 환승여부에 따라 미 환승역이 다른 환승역보다 매출액이 더 감소하는 것으로 나타났다. 셋째, 점포 위치에 있어서도 승강장과 연결통로에 위치한 점포는 맞이방이나 광장에 위치한 점포보다 매출액이 감소하는 것으로 나타났다. 이와 같은 연구 결과는 현재 국내의 편의점은 과다 경쟁으로 인하여 쇠퇴기에 들어간 시점에서 향후 철도역사내 편의점 창업시에는 철도이용인원과 면적, 경쟁점, 환승여부, 그리고 맞이방이나 광장 등 고객이 가시성이 좋은 곳에서 창업을 해야 한다는 시사점을 지닌다.

데이터기반의 신규 사업 매출추정방법 연구: 지능형 사업평가 시스템을 중심으로 (A Data-based Sales Forecasting Support System for New Businesses)

  • 전승표;성태응;최산
    • 지능정보연구
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    • 제23권1호
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    • pp.1-22
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    • 2017
  • 사업타당성 분석이나 기업 기술가치평가 등 미래의 사업에 대한 진입이나 투자 타당성을 분석하기 위해서는 새로운 사업과 관련한 시장을 추정하고 그 안에서 확보 가능한 매출을 객관적으로 추정하는 과정이 필수 불가결하다. 이런 신규 매출이나 시장규모의 추정 방법은 다양한 방법으로 구분이 가능한데 크게 정량적인 방법과 정성적인 방법으로 구분할 수 있다. 그러나 두 가지 방법 모두 많은 자원과 시간을 필요로 한다. 그래서 우리는 신규 사업의 평가지원을 위한 데이터 기반의 지능형 매출 예측 시스템을 제안하고자 한다. 본 연구는 사업타당성 분석이나 기술가치평가를 위한 신규 사업의 매출 추정 시스템을 개발하는데, 알고리즘 기반으로 전통적인 정량 예측방법 중 하나인 유추방법에 주목했다. 동일한 국내 산업에서 최근 창업한 기업의 매출 실적을 국내 신규 사업의 매출액을 추정하는 유추 대상 변수로 활용할 수 있는지 검토한다. 여기서 유추예측 대상은 최초 매출액과 초기 성장률이며, 주요 비교 차원은 산업분류, 창업시기 등이 고려된다. 특히 본 연구는 우리나라 창업 기업이 가지는 매출 성장률의 평균회귀 현상을 활용하는 지능형 정보 지원 시스템을 제안하다. 본 연구에서는 신규 매출 추정을 위해서 역사적 자료인 창업 매출 실적을 활용하는 방법이 적절한지 판단하기 위해서 잠재성장모형 등을 활용해 산업분류에 따른 신규 사업의 초기 매출액과 연도별 성장률이 산업분류별로 차이가 있는지 분석한다. 기존 기업의 창업 후 4년간 매출 성과의 종단자료를 잠재성장모형으로 분석하는데, 특정 산업분류에서 차이를 보여주는지 분석해 산업분류가 유추 예측에서 고려해야할 유의미한 변수인지 분석하는 것이다. 본 연구의 결과는 신속하고 객관적인 신규 사업 매출 추정을 가능하게 하는 지능형 정보시스템을 개발하게 해서 사업성타당성 분석이나 기술가치평가 과정의 효율성을 개선시켜 줄 것으로 기대된다.

위탁급식 전문업체의 운영 현황 조사 및 현안과제 분석 (Analysis of Current Operational Practices and Issues of Contract-Managed Foodservice Companies in Republic of Korea)

  • 엄영람;류은순
    • 대한영양사협회학술지
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    • 제9권3호
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    • pp.197-208
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    • 2003
  • This study was surveyed to provide the information on current operational practices and issues of contract-managed foodservice companies. Questionnaires were distributed to 79 contract-managed foodservice companies (eight large-size, 48 mid-size, 23 small-size companies) from March to May in 2002. The contract-managed foodservice companies provided averages of 269,184 (range 140,036-503,500), 14,837 (range 450-75,269), and 4,065 (range 930-8,050) meals daily from large, medium, and small-size companies, respectively. The companies managed to averages of 268.2 (160-619) foodservice contracts at large-size companies, 21.9 (5-63) contracts at mid-size companies, and 4.7 (1-10) contracts at small-size companies. The average numbers of dietitians were 298.6 (range 104-671) in large-size companies, 22.2(6-86) in mid-size companies, and 3.8(1-9) in small-size companies. The averages of sales were 156.5 billion at large-size companies, 6.7 billion at mid-size companies, and 1.7 billion at small-size companies in 2001. The contract was two types including management fee contract(5%), and profit and loss contract(95%). The cost ratios for office foodservice were 59.5% at food cost, 24.2% at labor cost, 6.3% at profit, and 10.1% at other cost. For hospital foodservice, the ratios were 54.0% at the food cost, 34.6% at labor cost, 3.0% at profit, and 11.8% at other cost. For high school foodservice, the ratios were 62.2% at the food cost, 21.5% at labor cost, 5.4% at profit, and 11.2% at other cost. When the contractors managed to the foodservice, the most important matters were the sanitation management and customer satisfaction. Also, the difficult problems were excess investment of equipments and low meal prices.

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온라인 맞춤 드레스셔츠 업체 현황조사 및 치수체계 분석 (Survey on the Brand of Online Custom Dress Shirts and Analysis of the Sizing System)

  • 안동주;이정임
    • 한국의류산업학회지
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    • 제20권5호
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    • pp.556-568
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    • 2018
  • In this study, we surveyed the current status and sizing system of the custom dress shirts sold through online shopping, compared with the sizing system of the ready-made dress shirts. We tried to collect the information needed to make the well fitted dress shirts for middle-aged men from this study. The 17 online custom dress shirt brands were selected and the sales type, sales price, design options and size options of each brand were analyzed. The sizing systems of online custom dress shirt brands were compared with the sizing system of the 10 ready made dress shirt brands. The result showed that online custom dress shirts brands offered a variety of design options and size options to meet the consumers' individuality, taste and demand for good fit. In the ready-made brands, all 10 brands were using the same size notation system. In the same size designation, the difference in product size among the ready-made brands showed a tendency to be smaller than the online custom brands. The online custom brands had the different size notation system among brands. The size notation, the number of size designation and the size interval were different for each brand. Also, in the online custom brands, the product size among brands differed from each other in the same size designation. Therefore, the standardized size information and sizing system for middle-aged men that could be used as criteria when making the product size and pattern design in online custom brands were needed.

서울시 1,000세대 이상 대규모 아파트단지의 아파트가격 결정요인에 관한 연구 (Determinant Factors for the Apartment Unit Prices of Large Scale Apartment Complexes over 1,000 Households in Seoul Metropolitan Area)

  • 김광영;안정근
    • 한국주거학회논문집
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    • 제21권6호
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    • pp.81-90
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    • 2010
  • The existing most studies on the apartment sales prices have been limited to relatively small size apartment complexes and have not categorized the apartment complexes based on the number of households. Some of them uses the apartment-related indices such as regional value estimates, sales unit price, and view right values. In the case of Seoul Metropolitan Area, the size of apartment complex has been growing to the level of large complex over more than 1,000 households through new town development, redevelopment and reconstruction. People prefers to choose a large scale complex instead of small complex based on their perception that a large scale apartment complex provides more conveniences in living. The result of this analysis revealed that the variables chosen as important determinants of the hedonic price model for large scale apartment complexes were square meters of apartment unit, rent/price ratio, number of bays, distance to the nearest subway station, and heating system method. This means that the sales price of apartment unit will be higher as the square meters of apartment unit increase, as the rent/price ratio decreases, as the distance to the nearest subway station increases, and as the number of bays increase.

상업공간 실내조경이 경영적 효과에 미치는 영향 (Influence of Interiorlandscape in Commercial Spaces on the Management Benefits)

  • 김수연;이종석
    • 한국조경학회지
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    • 제28권2호
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    • pp.1-9
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    • 2000
  • The purpose of this study is to examine influence of interior landscape in commercial spaces on the management benefit. In the course of this study, objects of survey were selected from interior landscaping specialist, manager and consumer who had experiences to visit to the hotel, bank, department store and restaurant. The main method of data collection was interview, questions and gathering materials. The cronbach's alphas program was used to measure the reliability of likert scales. The analysis program was applied a statistical methods. The results of this study can be summarized as follows: The factors considered by consumer who visits to the commercial space are design, interior landscape, traffic, parking capacity, cleanness, price, kindness of employee and event. Factors concerned with the product include branch size, traffic, parking capacity, kindness of employee. Factors concerned with facilities include branch size, traffic, parking capacity, kindness of employee. Major factors of those effects to management benefit are accessibility, time of stay, sales, efficiency of space, attractiveness and difference. In conclusion, overlap style gets the highest degree of satisfaction among total factors. Results of the survey show that factors which improve sales are overlap style and planter type. Among four commercial spaces, hotel is most effected by interior landscape. To enhance the sales of hotel, further study of interior landscape about hotel necessary. For bank and restaurant, further study of economic planter type and style is necessary. For department store, optimal use of spaces and case of maintenance are necessary.

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