• 한국산학기술학회논문지
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• 제18권2호
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• pp.600-608
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• 2017

본 연구는 한국채택 국제회계기준(K-IFRS)이 본격 도입된 2011년 이후 금융감독원에 전자공시시스템(DART)에 공시된 공신력 있는 회계보고서를 바탕으로 축산업 농업법인의 경영지표 및 부채비율과 경영성과에 관하여 분석하였다. 첫째, 주요 경영지표를 분석한 결과, 안전성 지표는 유동비율, 부채비율, 유동부채비율이 낮아지고, 자기자본비율은 높아진 것으로 나타났다. 수익성 지표는 총자산순이익율, 자기자본순이익율, 매출액순이익율이 모두 2013년에 비해 2014년에 약간 증가한 것으로 나타났고, 성장성 지표는 전체적인 성장성 및 외형적인 성장성 모두 증가하지 않은 것으로 나타났다. 둘째, 부채비율과 경영성과를 분석한 결과, 부채비율은 경영성과 변수인 총자산순이익률(ROA)과 매출액순이익률(ROS)에 모두 부(-)의 영향을 미치는 것으로 나타났다. 이는 우리나라 축산업 농업법인의 부채사용이 외형적인 성장에는 기여하였으나 경영성과로는 이어지지 않고 오히려 무리한 부채사용이 경영성과에 부정적인 영향을 미친 것으로 해석할 수 있다. 분석결과를 종합해보면 축산업 농업법인의 수익성 및 성장성 개선을 위하여 원가절감과 같은 경영개선을 통한 매출액 증대 방안이 모색되어야 할 것으로 보인다. 또한 부채사용이 외형적인 성장에는 기여하였으나 경영성과로는 이어지지 않는 만큼 무리한 부채사용을 줄이고 기술개발 보급 등에 의한 농업경영비 절감으로 매출 및 수익 증대 방안이 모색되어야 할 것이다.

• 산경연구논집
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• 제10권11호
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• pp.49-56
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• 2019

Purpose: Corporate social responsibility is a self-regulating business model that helps a firm be socially accountable to the public. By practicing corporate social responsibility, firms can be conscious of the kind of impact they are having on all aspects of society, including economic, social, and environmental. Corporate social responsibility activities are not directly linked to increasing corporate performance and corporate value, but rather involve spending expenses. Based on these facts, this study verifies whether the effects of corporate social responsibility activities differ depending on the firm's situation. Research design, data and methodology: This study analyzed the effect of market competition on corporate social responsibility activities using logistic regression analysis on listed companies in the KOSPI and KOSDAQ for fiscal years 2014 through 2016. In this study, market competition was measured using the Herfindahl-Herschman Index(HHI). Higher HHI value can be interpreted as a lower degree of market competition. We also measured corporate social responsibility activities using the KEJI Index published by the Korea Economic Justice Institute (KEJI). If a firm-year is included in the top 200 companies of the KEJI Index, it is classified as a good corporate social responsibility activity firm. Results: We find that companies in less competitive market were not included in the KEJI Index. This result indicates that firms in the market with lower market competition perform less corporate social responsibility activities that incur costs. An additional analysis showed that there was a significant negative relationship between the market competition and the corporate social responsibility activity scores published by the KEJI Index. These result adds robustness to the result of the hypothesis that firms that have a monopolistic place in the market practice passive corporate social responsibility activities. Conclusions: The results show that managers of a firm in the lower market competition have a lower incentive to use limited resources for projects that are not directly related to revenue. The results of this study imply that corporate social responsibility activities vary according to the position of the business. Therefore, this study suggests that market investors should consider the degree of competition in the market when they evaluate corporate social responsibility activities.

• 환경정책연구
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• 제7권2호
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• pp.1-32
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• 2008

본 연구는 에너지부문 환경세 도입방안의 소득분배 파급효과를 "도시가계조사" 및 "가계조사" 자료를 이용하여 Kakwani지수에 적용하여 살펴보았다. 분석결과, 첫째 비수송용 에너지 사용에 대한 조세는 누진적, 수송용 연료에 대한 조세는 역진적인 성격을 가지는 것으로 나타났고, 둘째 시나리오별 누진성 측정지표는 현행 에너지 가격구조와 비교하면, 환경세가 역진적이라고 추정한 기존 연구들과 달리 시나리오 I은 교통혼잡세를 제외하고는 누진성을 강화시키는 것으로 나타났다. 시나리오 II의 전체 세부담액에 의한 지표는 누진성을 약간 강화시켰고, 시나리오 III은 부가가치세와 세수 총계에서 약간 역진적인 성격을 보이나 환경세, 열량세, 환경세 교통혼잡세 열량세의 합계로 각각 측정한 지표는 누진성을 전반적으로 강화시키는 것으로 추정되었다. 셋째, 환경세도입으로 인해 조세수입이 증가(시나리오 III)하는 것을 절대빈곤계층에게 환급해 줄 경우 예상대로 누진성을 강화시켰고 또한 환급수준이 클수록 누진성 강화 정도 역시 커졌다. 결과적으로 환경세 도입이 소득분배 측면에서 부정적인 영향을 주지 않을 뿐만 아니라 환경세 도입으로 인해 발생한 세수 증가분을 빈곤계층에게 일부 환급할 경우, 누진성이 더 강화되는 결과를 보여주어 소득계층간 불공평성도 상당부분 해소될 수 있다고 결론내릴 수 있다.

• Journal of Information Technology Applications and Management
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• 제22권3호
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• pp.65-81
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• 2015

This study reports a preliminary finding of the types and numbers of graphs being presented in the annual reports of about thirty top listed companies trading publicly in the stock markets of three countries-Thailand (SET), Malaysia (BM), and Singapore (SGX)-that were chosen based on their inclusion in the ASEAN Stars Index under the ASEAN Trading Link project. A total of 6,753 graphs from nineteen sectors were extracted and examined. Banking, real estate, and telecommunications are ranked the three most condense sectors, accounting for 50.2% of the total number of graphs observed. The three most used graphs are the Conservative Bar, Donut graph and Stack Bar. Less than one percent of Infographic type graphs were used. The five most depicted graphed variables are Asset, Revenue, Net profit, Liability, and Dividend. Using rudimentary framework to detect distorted or misleading statistical graphs, the study found 60.6% of the graphs distorted across the three markets, SET, BM, and SGX. BM ranked first in percentages of graphs being distortedly presented (73%). The other two markets, SET and SGX, have about the same proportions, 53.88% and 53.03%, respectively. Likewise, the proportions of Well-designed versus Inappropriate-designed graphs of the latter two markets are a little over one time (SET = 1 : 1.17; SGX = 1 : 1.13), whereas the proportion is almost triple for the BM market (BM = 1 : 2.70). In addition, the trend of distorted graphs found is slightly increasing as the longevity of the ASEAN Stars Index increases. One possible explanation for the relatively equal proportion of inappropriate graphs found is that SET is the smallest market and SGX, though the largest, is the most regulated market. BM, on the other hand, may want to present their financial data in the most attractive manner to prospective investors, thus, regulatory constraints and governance structure are still lenient.

• 한국철도학회:학술대회논문집
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• 한국철도학회 2010년도 춘계학술대회 논문집
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• pp.359-370
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• 2010

2004년 4월에 경부고속철도 1단계 구간이 개통되어 국민들에게 새로운 고속열차 서비스를 제공하여 고객 만족도 향상 및 수익증대에 기여하고 있다. 이와 더불어 오는 2010년 말에 대구~부산간 경부고속철도 2단계 구간이 개통되면 서울~부산간 이동시간이 단축되고 신설되는 경주, 울산지역에도 고속철도 서비스를 제공하게 된다. 이에 본 연구에서는 경부고속철도 2단계 개통시 신설되는 경주, 울산역에 대하여 시내와의 연계 서비스 운영방안에 대하여 살펴보고 연계 수요의 분석을 통한 연계 서비스 전후 효과를 분석하고 아울러 경제적 효과에 대한 분석을 시행하였다. 이를 통하여 신설되는 경주, 울산역에 대한 효과적인 연계 서비스 방안을 통한 고객 만족도 향상 및 철도의 수익 증대 방안에도 기여할 것으로 기대된다.

• 상하수도학회지
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• 제24권5호
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• pp.495-508
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• 2010

The aim of this study is to develop a quantified water loss Index to evaluate and manage leakage scientifically for the reduction of non-revenue water in water distribution systems. For the purpose, unavoidable background leakage suggested from UK water industry and IWA, and allowable water leakage in accord with the concept of allowable water loss are proposed by analyzing the inflow into two study water districts and the short-term water use of each customer in the districts. The study distribution areas are selected among the metered districts with good maintenance of leakage after improvement activities in Nonsan, medium sized city in Korea. Estimation models of allowable leakage are developed by metering and analyzing the minimum night flow at residential and commercial areas in the city. In the results of the investigation, it is estimated that background night flow in residential area was larger than that of commercial area where the types of business shows small water use characteristics. Meanwhile, night flow and background water loss on internal plumbing systems show great differences for each district which is influenced much by the water use characteristics and facilities scale. Based on metering water use data in various districts, leakage management criteria can be established under the consideration of domestic conditions in Korea by analyzing separated real water use and background leakage and it is possible to apply into presentation of optimal leakage level and reasonable time for working activities for leakage reduction.

• 한국병원경영학회지
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• 제4권2호
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• pp.85-105
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• 1999

The main purpose of this article is to analyze the managerial performance of small and medium-size hospitals that are specialized in certain areas of medical services. Data of 189 hospitals were obtained from the data file of Korea Institute of Health Services Management The items include general characteristics of the hospitals, fianancial reports, and utilization records. Degree of specialization is measured by concentration(Herfindahl) index, and the sample hospitals are accordingly classified into specialized and unspecialized groups, by means of cluster analysis. These groups are compared in terms of various measures of managerial performance, which include several profitability indices such as operating margin, return on assets(ROA), and return on equity(ROE). To examine the relationship between specialization and managerial performance, we estimate the regression model, where the profitability indices are used as the dependent variables and the concentration index as the independent variable, controlling for the hospital characteristics such as size, type and location. Also, we perform 'Du Pont' analysis, to investigate the basic elements that can explain the differences in profitability between specialized and unspecialized hospitals. Major findings are as follows: 1. Managerial performance is better for the specilized hospitals than the unspecilized, in all aspects of profitability(operating margin, ROA, ROE). 2. Regression analysis suggests that there is a positive, statistically significant relationship beween the degree of specialization(i.e. concentration) and hospital profitability. 3. Main reason for the higher profitability of specialized hospitals lies in lower expenses rather than higher revenue. 4. In particular, personnel and material expenses are significantly smaller for the specialized hospitals, and this result seems to stem from the efficiency of operating fewer lines of business.(some kind of 'economies of scale') 5. Specialized hospitals also have fewer employees compared with the unspecialized, especially in administrative departments, which implies their efficient personnel management.

• Journal of Korea Trade
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• 제26권7호
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• pp.127-144
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• 2022

Purpose - This study aimed to analyze the dynamic effects of progress in globalization on firm performance by employing individual companies' financial statement datasets. Design/methodology - The analysis leveraged the variables of operating revenue (OPRE) and pre-tax profit and loss (PLBT) as measurement variables for firm performance over 2011-2019. As a proxy variable for globalization, the trade index, a subordinate indicator of the KOF Globalization Index, was used. Through panel regression analysis, the relationship among those variables was ascertained, and the local projection (LP) method was subsequently utilized to identify dynamic effects. A subsample analysis was further performed by classifying companies based on their sizes and industries to determine the differential effects of globalization on each group. Findings - The panel regression analysis derived positive effects of an increasing degree of globalization on OPRE of Korea maritime and fishery firms. However, the impulse response functions, obtained from the LP, showed that in the short run, globalization affects PLBT negatively but in the long run, it gradually converted into a positive effect. In addition, according to the subsample analysis based on company size, the effects of globalization on OPRE became greater as each company became larger. Moreover, the industry-based analysis showed heterogeneous effects, depending on the industries in which the maritime and fishery companies operated. Originality/value - The analysis of the dynamic effects of globalization on firm performance, which revealed that the effects vary depending on the time points, is the important contribution of this study. The results also suggest that the effects of globalization vary depending on the company size and industry.

• 한국경영과학회지
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• 제41권2호
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• pp.129-139
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• 2016

This paper presented a robust ship scheduling model using the quadratic programming problem. Given a set of available carriers under control and a set of cargoes to be transported from origin to destination, a robust ship scheduling that can minimize the mean-variance objective function with the required level of profit can be modeled. Computational experiments concerning relevant maritime transportation problems are performed on randomly generated configurations of tanker scheduling in bulk trade. In the first stage, the optimal transportation problem to achieve maximum revenue is solved through the traditional set-packing model that includes all feasible schedules for each carrier. In the second stage, the robust ship scheduling problem is formulated as mentioned in the quadratic programming. Single index model is used to efficiently calculate the variance-covariance matrix of objective function. Significant results are reported to validate that the proposed model can be utilized in the decision problem of ship scheduling after considering robustness and the required level of profit.

• Industrial Engineering and Management Systems
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• 제7권3호
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• pp.214-227
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• 2008

Today's dynamic competitiveness requires an organization to improve its performance measurement and management. Quality Management Systems (QMS) abound, the main ones being: ISO series, Malcolm Baldridge National Quality Award (MBNQA), European Forum for Quality Management (EFQM), Six Sigma Business Scorecard and the Balanced Scorecard. Based on the literature, the IPMMM (Integrated Performance Measurement and Management Model) identified 7 key synthesized factors: leadership, strategy management and policy, customer and market, learning and growth, partnership and resources, internal processes and business results that are employed to investigate the key performance indicators of a car assembler using the Delphi methodology. In the 2 rounds of Delphi panels consisting of 20 senior management personnel, the $1^{st}$ round of 198 indicators in the IPMMM yielded 90 indicators. The $2^{nd}$ round yielded 43 performance indicators with 18 rated as critical based on the % assigned in the $1^{st}$ and $2^{nd}$ priority rating of "very important factor" and "key performance indicator" that must be ranked high on both of the priorities. The very critical indicators appeared to be: defect percentage and first time capability (tie in $1^{st}$ place) and revenue, goal setting, customer satisfaction index, on-time delivery, brand image, return on investment, Claim Occurrence Ratio, and debt being ranked from $3^{rd}$ to $10^{th}$. It can be surmised that an organization can identify and develop an appropriate set of performance indicators through the Delphi methodology and implement and manage them based on the Balanced Scorecard.