• 디지털융복합연구
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• 제16권7호
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• pp.71-78
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• 2018

본 연구는 한국경제의 불공정 해소 방안으로 주목받고 있는 기업의 동반성장 활동이 기업의 경영성과에 미치는 영향을 실증적으로 분석함으로써 동반성장 활동이 기업 경영에 미치는 영향을 검증하고자 하였다. 연구기간은 2011년부터 2015년까지이며, 가설을 검증함에 있어 동반성장 활동기업의 표본구성의 특성을 고려하여 전체 상장기업을 대상으로 한 연구표본과 동반성장 활동기업만을 대상으로 한 연구표본으로 각각 구분하여 다중회귀분석을 통해 연구가설을 검증하였다. 분석결과, 기업의 동반성장 활동수준(W-W Index_N)과 경영성과(ROA, ROE, 매출액영업이익률)는 5% 유의수준에서 음(-)의 관련성을 나타냈다. 또한, 기업의 동반성장 활동수준(W-W Index_N)과 경영성과(매출액순이익률)는 10% 유의수준에서 음(-)의 관련성을 나타냈다. 이는 기업의 동반성장 활동이 기업의 비용 증가로 이어져 경영성과에는 부정적인 영향을 미치는 것으로 해석할 수 있다. 따라서 본 연구에 따르면 동반성장 활동의 촉진 및 장려를 위한 국가당국의 정책적 고려가 필요할 것으로 판단된다. 한편, 본 연구는 동반성장 활동의 초기 실증연구로, 향후 동반성장 활동이 더욱 활발해짐에 따라 이에 따른 추세변화 후속연구도 필요할 것으로 기대된다.

• 한국유통학회지:유통연구
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• 제2권1호
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• pp.59-85
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• 1997

The automobile industry in Korea has grown to the fifth in the world in terms of production capacity. In spite of the production growth, the marketing aspects such as distribution and customer service in the auto industry are still behind the world-class. Thus, the major purposes of this paper are as follows. The first is to analyze competitive structure of the industry and to compare distribution strategies of the major auto firms(Hyundai, Daewoo, and Kia). The second is to theoretically explain the transition from the vertical marketing system to the dealer system using transaction cost analysis. The third is to compare auto distribution channels in Korea with those in the U.S. and Japan. Finally, an optimal channel stucture in the auto industry is suggested after reviewing five alternative channel structures such as corporate-owned VMS, sales-specializing firm, multiplex system(VMS+limited dealer system), dual sales channel, and advanced dealer system. In the short-run, sales-specilizing firm was suggested as an optimal channel system to enhance customer satisfaction by integrating sales and customer service. In the long-run, advanced dealer system through regional differentiation was desirable for an optimal channel structure by organically integrating new car sales, used car sales, and after service to provide total marketing service to customers.

• 산업공학
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• 제5권1호
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• pp.61-74
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• 1992

Recognizing the lack of empirical studies on the returns to R & D investment in Korean firms, this paper analyzes the relationships between R & D investment and corporate performances measured by sales growth rate, profit rate and PER. The data used here are from 167 firms in 8 different industries covering the period from 1985 to 1989. The results show that the profit rate is strongly correlated with R & D investment. But unlike the results of most studies previously done in the U.S., R & D investment only weakly and insignificantly correlated with sales growth and PER.

• The Journal of Asian Finance, Economics and Business
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• 제8권12호
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• pp.117-127
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• 2021

This study was conducted to comprehensively identify factors that potentially influence corporate investment behavior, including micro, macro, and sectoral variables. Furthermore, investment behavior was studied across nations based on their participation in the global value chain (GVC), which was evaluated based on commodities, limited manufacturing, advanced manufacturing, and innovative activities. The study uses the dynamic panel data analysis and Generalized Method of Moment (GMM) estimation for a sample of 800 corporations, with data spanning over 2000-2019. The study result shows that in all types of countries, the coefficient lag indicator of capital expenditure statistically has a significant effect on capital expenditure. Sales growth, exchange rate, and GDP have a significant positive effect on corporate investment growth, while DER has a negative effect. In commodity countries, corporate investment is influenced by sales growth, exchange rate, and FCI. The variables that influence corporate investment in manufacturing countries are the FCI, exchange rate, sales growth, GDP, and DER. In innovative countries, variables that significantly affect capital expenditure are DER, GDP, and Tobin Q. In each type of country, the interaction terms between exchange rate and commodity price are positive and statistically significant.

• 한국산학기술학회논문지
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• 제20권2호
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• pp.458-468
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• 2019

본 연구는 2015년 6월부터 2018년 8월까지 인천국제공항 여객터미널에서 발생한 품목별 식음료 매출액(POS) 데이터를 기반으로 2020년 12월까지 식음료 매출액을 추정하고자 하였다. 이를 위해 연구자는 시계열 분석기법들 중 하나인 ARIMA-Intervention(개입모형)을 이용하여 인천국제공항 식음료 매출액에 영향을 미칠 것으로 판단되는 주요 시계열 영향변수들을 구분하고 그에 따른 변화폭을 추정하였고 그 결과를 토대로 향후 발생가능할 것으로 예측되는 식음료 월별 매출액을 추정하는 것을 목적으로 한 것이다. 개입변수는 국내 THAAD 배치에 따른 중국 정부의 2016년 7월부터 2017년 12월까지 한국 방문을 자제를 권고한 한한령으로 설정하였다. 정상 예측치의 경우에 비록 식사 매출 상승세가 둔화되었다 하더라도 하계 극성수기인 2019년 7월 203억, 2019년 8월 212억으로 월별 매출액이 200억을 돌파할 것으로 예측되며 2020년에는 각각 214억 및 221억으로 증가할 것으로 예측되었다. 음료 매출액은 2019년 7월에는 77억, 2019년 8월에는 81억으로 예측되며 2020년에는 79억 및 82억으로 증가할 것으로 전망되었다. 저비용항공사들은 정규항공사에 비해 식음료 서비스가 전무하거나 유료화 정책으로 운영하기 때문에 저비용항공사 이용객들은 여객터미널에서 출국 및 입국 시 식음료 서비스를 이용하는 빈도가 높을 수 밖에 없을 것이다. 앞서 예측자료에 제시된 것처럼 식음료 매출은 저비용항공사의 성장과 동반하여 증대될 가능성이 높을 것이다.

• 한국조리학회지
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• 제14권4호
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• pp.93-105
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• 2008

This study was attempted to analyze causal relations among flexibility, growth, and profitability variables, which are the financial indexes of restaurant enterprises. The samples were 24 restaurant enterprises in total, and 102 financial statements between 2002 and 2006 were analyzed. As a result of the analysis, total asset growth rate influenced all profitability variables among growth variables. Also, the net sales growth influenced return on sales and return on assets, and the assets turnover influenced return on assets and return on equity. Among flexibility variables, current ratio and interest coverage ratio to operating profit influenced return on assets, and return on equity was influenced by current ratio and debt-to-equity ratio.

• 산업경영시스템학회지
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• 제40권4호
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• pp.38-45
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• 2017

As the competitiveness of SMEs (small and medium enterprises) is getting more and more improved and globalized, the government provides various consulting services to secure the competitiveness of small and medium firms and support stable growth. However, the assessment of the result from the government's support is generally focused on non-financial factors, such as customer satisfaction and analysis of improvement effect. This paper is in regards to the statistical analysis of how much the government's support in the form of providing consulting services contributes to financial outcomes in terms of profitability and growth. ROA (return on asset) and ROS (return on sales), which are investment profitability and sales profitability respectively, are chosen as an indicator of profitability. For analysis of growth, sales revenue and total asset growth are used. The samples are 44 corporations which are supported by government, and 150 corporations which are selected for comparison, with corporate growth support center program by the Ministry of Trade, Industry, and Energy chosen as the consulting model. After gathering the yearly balance sheets and income statements of the samples from CRETOP, Korea Enterprise Data, the analysis is conducted in the way of identifying the statistical significance of financial difference in the same period between corporates taking consulting services and corporates which have not, and the difference of financial outcomes from the corporates taking consulting services before and after consulting services. As a result, in terms of business growth, it is turned out to have positive difference both in growth ratio and profitability compared to the compared corporations at the significant level. Therefore, it is obvious that the consulting program which government provides to SMEs have direct influence practically to the corporates' management performance.

• 한국경영과학회지
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• 제16권1호
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• pp.45-58
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• 1991

The importance of marketing mix variables, replacement demand, and competition in a new product growth model has been cited by many researchers. In this paper, these factors are integrated with an aim to model company sales of competing durables. Based on the most popular new product growth model, numerous extensions and incorporations of contributions from related research fields are tried. Model parameters are estimated by the Kalman filter. And, the proposed model is applied to the sales of four consumer durable goods. Empirical applications show the benefits, as well as the limitations of the proposed model.

• 무역학회지
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• 제44권2호
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• pp.173-188
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• 2019

The purpose of this study is to investigate the causal relationship between the logistics industry and the economic growth in Korea, and to provide implications for the contribution of the logistics industry to economic growth. Unlike Previous Related Studies, we derive short-term and long-term effects through dynamic panel analysis such as panel Granger causality test and impulse response function estimation using panel vector error correction model. The results of the empirical analysis are as follows: Labor input of the logistics industry has the greatest positive impact on economic growth. And capital input and total sales of the logistics industry have a negative effect on economic growth. This means that Korea's logistics industry features labor-intensive growth. In addition, We have also found that the growth (sales) and capital input of the logistics industry have not yet had a direct positive impact on economic growth. Therefore, the results of this analysis provide implications for the direction of logistics industry policy to enhance contribution of the logistics industry to economic growth.

• Industrial Engineering and Management Systems
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• 제13권3호
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• pp.289-296
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• 2014

With society becoming more advanced and complex, the required management engineering makes essential the development of human resources that can propose solutions for problems of new phenomena from a different perspective. As an example of such phenomena, we note a consumer electronics 'Eco-point' system campaign in this study. To mitigate global warming, revitalize the economy, and encourage the adoption of terrestrial digital compatible TVs, the consumer electronics Eco-point system campaign was implemented in May 2009 in Japan. In this study, we note a model which is constant term with exponential curve with notion of the growth phenomenon (Nakagiri and Kurita, Journal of the Operations Research Society of Japan, 2002). In our study, we call this model the 'differential equation model of the growth phenomenon.' This model represents a phenomenon with a hierarchical structure for capturing the properties of n species. In this study, we propose a new model which can represent not only the impact of largescale campaigns but also seasonal factors. Accordingly, we understand the phenomenon of fluctuation of sales of some products caused by large-scale campaigns and predict the fluctuation of sales. The final goal of this study is to develop human resources that can propose provision and solution for pre-consumption and reactionary decline in demand by understanding the impact of large-scale campaigns. As the first step of this goal, our objective is to propose a new regression method with different conventional perspective that can describe the fluctuation of sales caused by large-scale campaigns and show the possibility of new management engineering education.