• Title/Summary/Keyword: 매출액

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Analysis and Estimation of Food and Beverage Sales at Incheon Int'l Airport by ARIMA-Intervention Time Series Model (ARIMA-Intervention 시계열 모형을 이용한 인천국제공항 식음료 매출 분석 및 추정 연구)

  • Yoon, Han-Young;Park, Sung-Sik
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.20 no.2
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    • pp.458-468
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    • 2019
  • This research attempted to estimate monthly sales of food and beverage at the passenger terminal of Incheon int'l airport from June of 2015 to December 2020. This paper used ARIMA-Intervention model which can estimate the change of the sales amount suggesting the predicted monthly food and beverage sales revenue. The intervention variable was travel-ban policy against south Korea from P.R. China since July 2016 to December 2017 due to THAAD in south Korea. According to ARIMA, it was found normal predicted sales amount showed the slow growth increase rate until 2020 due to the effect of intervened variable. However, the monthly food sales in July and August 2019 was 20.3 and 21.2 billion KRW respectively. Each amount would increase even more in 2020 and the amount would increase to 21.4 and 22.1 billion KRW. The sales amount in 2019 would be 7.7 and 8.1 billion KRW and climb up 7.9 and 8.2 billion KRW in 2020. It was expected LCC passengers tend to spend more money for F&B at airport due to no meal or drink service of LCC or the paid-in meal and beverage service of LCC. The growth of sales of food and beverate will be accompanied with the growth of LCC according to estimated data.

The Effects of Prior Sales Change on Asymmetric Cost Behavior of R&D Costs (전기 매출액 변동이 연구개발비의 비대칭적 원가행태에 미치는 영향)

  • Noh, Gil-Kwan;Lee, Jeong-Eun
    • Journal of Digital Convergence
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    • v.17 no.12
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    • pp.109-115
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    • 2019
  • The purpose of this study is to analyze the effect of Prior Sales change on R&D Costs and each detail item, and to analyze what decision managers make when changing sales. In order to conduct a more in-depth analysis as well as a one-period model of Anderson et al. (2003), which was used in previous studies, the two-period model of Banker et al.(2014) And analyzed the detailed items. As a result of the analysis, it is possible to confirm cost stickiness behavior only in the depreciation cost and others due to the limit of the model in the one period model. For a more in-depth analysis, the analysis of two-period model showed that labor costs and other items showed cost stickiness behavior when prior sales increased, but total R&D costs showed a anti-cost stickiness behavior. When prior sales decline, consigned service costs showed a cost stickiness behavior. This study is meaningful because it analyzed the effect of prior sales change on R&D cost behavior which were not performed in previous studies. Furthermore, we expect to be able to conduct more detailed research by sales and industry in future studies.

미디어텍의 성장-ASSP 사업을 성장시킨 원동력

  • IT-SoC Association
    • IT SoC Magazine
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    • s.25
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    • pp.26-33
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    • 2008
  • 미디어텍의 2006년도 영업이익률은 팹리스업체로는 세계 최고의 매출액을 자랑하는 퀄컴을 넘어섰다. <그림 1>은 미디어텍과 퀄컴 이외에도 매출액으로는 세계 최고 수준인 반도체 제조업체 인텔, 일본 내 최대 업체 도시바, ASSP를 주요 사업으로 추진 중인 NEC 일렉트로닉스의 영업이익을 보여준다. 각사의 이름 아래에 있는 ( )안의 수치는 2006년 기준 연결매출액이다. 각사의 결산일은 퀄컴이 9월, 인텔과 미디어텍이 12월, 도시바와 NEC 일렉트로닉스가 3월이다.

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An Analysis of the Effects of Customer Characteristics on Sales of Alley Market Area Using Geographically Weighted Regression (지리가중회귀분석을 이용한 고객특성별 골목상권 매출액 영향 연구)

  • Kang, Hyun Mo;Lee, Sang-Kyeong
    • Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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    • v.36 no.6
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    • pp.611-620
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    • 2018
  • With the revitalization of alley market area becoming a major goal of the urban regeneration project, an understanding on customer characteristics that affect the sales of alley market areas is needed. As spatial heterogeneity appears to exist in alley market areas, the use of GWR (Geographically Weighted Regression) is required as an alternative to OLS (Ordinary Least Squares) regression. This study analyzes effects of customer characteristics on sales of 1007 alley market areas in Seoul. Comparing R squared and AICc, results show that GWR is better than OLS regression. According to OLS regression, the ratio of female, the ratio of 40's and 50's, the number of employees, the opening rate of establishment, the density of building and the size of alley market area have positive effects on sales, while the ratio of 20's and 30's, the distance of bus stop and that of subway station have negative effects. As a result of comparing local regression coefficients of geographically weighted regression analysis, the ratio of female customers has the greatest effect on the northwestern region, followed by the southwestern region, the central region and the northeastern region. The ratio of 20's and 30's and that of 40's and 50's effect on the southeastern and northeastern regions, and then the southwestern region. It is expected that this study will help to identify marketing target for each alley market area.

A Study on the Influencing Factors of the Sales and Surplus Companies of the Townbuses in Seoul (서울시 마을버스 매출액 및 흑자업체의 영향요인에 대한 연구)

  • Jang, Jae-min;Shin, Sung-il;YI, Yong-ju
    • The Journal of The Korea Institute of Intelligent Transport Systems
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    • v.21 no.4
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    • pp.115-124
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    • 2022
  • Unlike the semi-public system of city buses, Seoul's townbus are operated on a private operating system, which is poor condition to the changes in the environment. Sales decreased due to a decrease in the number of passengers due to COVID-19 and a demand for conversion due to the advent of competitive transportation methods, and the financial support of Seoul Metropolitan Government is continuously increasing. In this study, to analyze the characteristics of townbus operated by a private operating system, the townbus sales and surplus companies were analyzed by what factors were affected. For the analysis data, townbus financial statements of Seoul in 2018 were used, and townbus sales and surplus companies were applied as dependent variables, and townbus operation system, satisfaction survey, humanities and social variables, and subway and public bicycle characteristics were applied as independent variables. As a result of the analysis, the sales is affected by operating hours per vehicle, in-vehicle safety, the number of households, the number of elderly people, and public bicycle variables, and surplus companies are affected by in-vehicle safety, reliability, and public bicycle variables. In particular, public bicycles, a competitive means of transportation, had an impact on industry sales, and the townbus business environment is expected to become more difficult as time goes by. The industry is seeking self-rescue measures, and Seoul is required to strengthen financial support so that townbus can operate stably.

The Exploration of Intersectoral Convergence of Spatial Information Industry and Forecast of its Market Size (공간정보산업 융·복합부문 탐색 및 시장규모 전망 연구)

  • Kwon, Young-Hyun
    • Journal of Cadastre & Land InformatiX
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    • v.52 no.2
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    • pp.121-135
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    • 2022
  • The purpose of this study is to explore the convergence sector of the spatial information industry based on the business transaction data of spatial information companies and to predict the market size of the industry using the Seemingly Unrelated Regression(SUR) model. The convergence part of spatial information industry, which cannot be identified in the Spatial Data Industry Survey, was analyzed by exploring keywords related to spatial information using the business DB of Korea Enterprise Data (2010-2019). The convergence of spatial information businesses mainly appeared in the business relationship between the value chain between Seoul and Gyeonggi Province. The convergence business has the largest sales in the value chain 2 (utilization, service) & 3 (convergence), and also the convergence in the value chain 1 (production, construction) & 2, 2 & 3 stages has doubled in 2019 compared to 2010. In 2019, the total sales of the spatial information industry based on the Statistical Korea were announced at about 8 trillion won, but in this study, the total sales of the spatial information industry were estimated at 28 trillion won considering convergence activities. Finally, when scenario 1 (0.38% population growth, 2020-2024) and 0.07% (2026-2030) were applied using the SUR model to predict the expected market size of the industry, sales decreased by -0.37% to 0.069% in 2025 and 2030 by respectively. When scenario 2 (average wage growth 1.2%) was applied during the same period, sales in the industry increased by 2.326% to 12.185%. In other words, the sales in the spatial information industry depends on Labor, Total Factor Productivity, and Capital Productivity so it is necessary to additional research on policy development and alternatives of enhancing each productivity.

An Exploratory Study on the Industry/Market Characteristics of the 'Hyper-Growing Companies' and the Firm Strategies: A Focus on Firms with more than Annual Revenue of 100 Million dollars from 'Inc. the 5,000 Fastest-Growing Private Companies in America' (초고성장 기업의 산업/시장 특성과 전략 선택에 대한 탐색적 연구: 'Inc. the 5,000 Fastest-Growing Private Companies in America' 기업 중 연간 매출액 1억 달러 이상 기업을 중심으로)

  • Lee, Young-Dall;Oh, Soyoung
    • Asia-Pacific Journal of Business Venturing and Entrepreneurship
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    • v.16 no.2
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    • pp.51-78
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    • 2021
  • Followed by 'start-up', the theme of 'scale-up' has been considered as an important agenda in both corporate and policy spheres. In particular, although it is a term commonly used in industry and policy fields, even a conceptual definition has not been achieved from the academic perspective. "Corporate Growth" in the academic aspect and "Business Growth" in the practical management field have different understandings (Achtenhagen et al., 2010). Previous research on corporate growth has not departed from Penrose(1959)'s "Firm as a bundle of resources" and "the role of managers". Based on the theory and background of economics, existing research has mainly examined factors that contribute to firms' growth and their growth patterns. Comparatively, we lack knowledge on the firms' growth with a focus on 'annual revenue growth rate'. In the early stage of the firms, they tend to exhibit a high growth rate as it started with a lower level of annual revenue. However, when the firms reach annual revenue of more than 100 billion KRW, a threshold to be classified as a 'middle-standing enterprise' by Korean standards, they are unlikely to reach a high level of revenue growth rate. In our study, we used our sample of 333 companies (6.7% out of 5,000 'fastest-growing' companies) which reached 15% of the compound annual growth rate in the last three years with more than USD 100 million. It shows that sustaining 'high-growth' above a certain firm size is difficult. The study focuses on firms with annual revenue of more than $100 billion (approximately 120 billion KRW) from the 'Inc. 2020 fast-growing companies 5,000' list. The companies have been categorized into 1) Fast-growing companies (revenue CAGR 15%~40% between 2016 and 2019), 2) Hyper-growing companies (40%~99.9%), and 3) Super-growing (100% or more) with in-depth analysis of each group's characteristics. Also, the relationship between the revenue growth rate, individual company's strategy choice (market orientation, generic strategy, growth strategy, pioneer strategy), industry/market environment, and firm age is investigated with a quantitative approach. Through conducting the study, it aims to provide a reference to the 'Hyper-Growing Model' that combines the paths and factors of growth strategies. For policymakers, our study intends to provide a reference to which factors or environmental variables should be considered for 'optimal effective combinations' to promote firms' growth.

Innovation and Industrial Concentration (R&D 지출과 경제적 성과에 관한 실증분석 - 16개 광역지역을 대상으로 -)

  • Lee, Dong-Soo;Cho, Taek-Hee
    • The Journal of the Korea Contents Association
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    • v.21 no.3
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    • pp.184-193
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    • 2021
  • This paper investigates the performance of technology innovation activities performed by firms in 16 major regions in Korea using 2002-2010 survey data by STEPI. The theoretical and empirical analysis is carried out via the 2 models which are the simple R&D - total revenue model and Cobb-Douglas model based on the simple model adding labor variable. The main results shows that for simple model, the R&D elasticity for total revenue is 0.42 for all areas and Ul-San shows the highest elasticity level, 0.66 and Bu-San the lowest level, 0.2. In case of Cobb Douglas model the R&D elasticities are not statistically significant for many regions. To overcome the low statistical significance, we grouped the 15 regions for 3 wider regions using ANOVA based on the R&D intensity for the homogeneity of R&D activities. By grouping, each region has more observations to analyze and the results from the empirical analysis shows higher statistical significance level and data explanation capability. In this case, Group 3 which shows larger firm size and slightly higher export share shows the highest level of R&D elasticity, 0.088 and Group 1 which has the smallest firm size and the lowest revenue growth rate shows the lowest level, 0.31. For the labor elasticity, Group 1 shows the higest level, 1.16 and Group2 the lowest level, 1.096. These results show that the regions which have many middle and small firms reveal low R&D-revenue elasticity and high labor-revenue elasticity.

세계 주요고무제품제조업체의 영업실적

  • Kim, Min
    • The tire
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    • s.114
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    • pp.14-29
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    • 1984
  • 본자료는 세계 11개 주요 고무제품제조업체 (그 중 10개사는 82년도 매출액이 각각 10억 달러 이상임)의 재무상황과 최근의 영업실적을 분석한 것이다. 조사편의상 기업체들을 미국ㆍ유럽ㆍ일본의 3개 그룹으로 나누어 자료비교가 가능한 지난 82년도를 기준으로 분석했는데, 동년 총매출액 370억달러 중 미국이 53%, 유럽이 36%, 일본이 11%를 점하였다. 11개 업체는 Goodyear, Michelin,Pirelli, Firestone,Bridgestone, BF Goodrich, Dunlop, General Tire, Uniroyal, Continental, Yokohama 등인데, 이들이 모두 고무산업만을 하는 것은 아니다. 일본의 Sumitomo 사는 1983년에 Dunlop의 영국공장과 서독의 타이어공장을 사들이고, 84년에도 프랑스의 공장을 매입했지만 82년도 매출액이 7억 5,000만 달러에 불과하여 이번 분석대상에서 제외되었다. 각기업체 자료는 가급적 동일한 조건으로 취급하려 했지만, 각사의 정책상비밀로 하는 정보 때문에 제한을 받았다. 비교하기 쉽도록 하기 위하여 모든 금약은 미화 달러 기준으로 하였고, 자료는 대부분 각사의 결산보고서에 따른 것이다.

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