• 한국농촌건축학회논문집
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• 제14권1호
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• pp.83-90
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• 2012

The purpose of this study was to set and analyze the standard model for prioritizing and deciding to take part in housing environment improvement project in the perspective of the public sector. The results of this study were as follows. The location competitiveness, potential demand, marketability and competitive price, etc were selected by assessment indicators. And Various indicators, including of the size of the area, public transportation, accessibility, convenience of living and the influx of the population, were used by weights indexes. The profit of local residents and the public promoter, variability of earnings, sensitivity analysis and the ratio of money in reserve, etc were also established as detailed indexes for the profitability and business risk analysis. To analyze the cash flow of the project process and review the necessary capital in advance, the payback, total working expenses, gearing ratio and sensitivity of a risk, etc were also set as additional detailed indexes. Lastly, considering it is quasi-public projects, the measure to protect tenants, necessity need of redevelopment and local government's will were additionally used by indexes. And Points were distributed on the importance of each index and scored out of 100. It will allow for the public project promoter to decide rationally whether to come in on the project. The public project promoter like the Korea Land and Housing Corporation will be able to make use of various indexes are based on this study to make decision whether joining the housing environment improvement project in depressed region.

• Journal of the Korean Data and Information Science Society
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• 제21권3호
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• pp.535-546
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• 2010

고객 정보를 활용하는 방법에는 고객의 구매액을 활용한 마일리지 방법과 구매 횟수에 따라 등급을 나누어 활용하는 방법 등이 있다. 본 연구에서는 회사 매출에 직결되는 고객의 재구매 여부에 초점을 맞추어 고객정보와 구매정보를 이용하여 로지스틱 회귀분석을 통한 재구매 예측 모형을 만들었다. 예측 모형 평가 측도로는 하이드게 점수를 사용하였으며 하이드게 점수를 최대로 하는 점수를 기준으로 분계점을 선택하였다. 재구매 예측모형을 이용하여 재구매 지수를 만들어 고객을 등급화하여 보다 효율적인 고객 관리가 가능하게 하였다.

• Journal of Electrical Engineering and Technology
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• 제5권3호
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• pp.389-399
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• 2010

Available transfer capability (ATC) is a measure of the transfer capability remaining in a transmission system. Application of unified power flow controllers (UPFCs) could have positive impacts on the ATC of some paths while it might have a negative impact on the ATC of other paths. This paper presents an approach to evaluate the impacts of UPFCs on the ATC from a cost/worth point of view. The UPFC application worth is considered as the maximum cost saving in enhancing the ATC of the paths due to the UPFC implementation. The cost saving is considered as the cost of optimal application of other system reinforcement alternatives (except for UPFC) to reach the same ATC level obtained by UPFC application. UPFC application costs include the maximum cost of alleviating the probable negative impact on the ATC of some paths caused by implementing UPFCs. Optimal system reinforcement is used for systems with UPFCs to determine the aforementioned cost. The proposed method is applied to the IEEERTS and the results are evaluated through a sensitivity analysis. The cost/worth of UPFC application is also used to develop an index for optimal UPFC location and the results are compared with those of other indices. A comparison is finally made with the results obtained using an existing ATC allocation profit-based approach to determine UPFC application worth.

• Fisheries and Aquatic Sciences
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• 제21권8호
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• pp.29.1-29.8
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• 2018

This study was conducted to evaluate the use of tuna by-product meal (TBM) as a substitute for fishmeal in juvenile Korean rockfish (Sebastes schlegeli) diets. Five isonitrogenous (52% crude protein) and isocaloric (4.9 kcal/g) diets were prepared. Control diet (Con) was formulated to contain brown fishmeal, whereas 25, 50, 75, and 100% of fishmeal was substituted with the same percentage of TBM in the TBM25, TBM50, TBM75, and TBM100 diets, respectively. Three replicate groups of fish (initial weight, $29.5{\pm}0.6g$) were fed one of the five diets for 12 weeks. The mean weight gain of fish fed the Con and TBM25 diets was significantly higher than that of fish fed the TBM100 diet (P < 0.05), but it was not significantly different from the weight gain of fish fed the TBM50 and TBM75 diets. The feed efficiency and protein efficiency ratios of fish fed the Con diet were significantly higher than those of fish fed the TBM100 diet (P < 0.05), but were not significantly different from those fed the TBM25, TBM50, and TBM75 diets. The TBM25, TBM50, TBM75, and TBM100 diets had significantly (P < 0.05) lower incidence cost and higher profit index than the Con diet. These results suggest that the tuna by-product meal used in this study could replace up to 75% of fishmeal protein in the diet without reducing growth and feed utilization in juvenile Korean rockfish weighing 29-53 g. By considering feed cost, the TBM 75 diet is recommendable for Korean rockfish farming.

• 패션비즈니스
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• 제14권4호
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• pp.10-22
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• 2010

To survive competitive global market, textile and fashion business incorporated Supply Chain Management strategy to make product and information flows fast and correct. Especially textile and fashion industry involves many complicated channels from up stream, middle stream, to down stream for delivering their production. Evaluating SCM performance is very critical to make better business profit model. Representative Scor model and BSC method are well fitted into textile and fashion business because of distributional complexity, non-financial factors to be considered, and innovative product characteristics. But there was little study to compare these two methods for textile and fashion business. Therefore, the purpose of this study was to investigate the Scor model and BSC method based upon review of literatures. The results of this study were as follows: Scor model had some strengths which were availability to apply for various industries due to standardized process, operation process emphasized, various customizable factors to compose for the company, and premise on SCM strategic execution. BSC method had some strengths which were the balance including financial and non-financial factors, qualitative analysis, and considering the goal and vision to convey organically from top to bottom of organization. The main differences between them were different scope to deal with performance estimating index from qualitative to quantitative analysis, the scope of human resources to manage, and possibility of performance comparison among companies.

• 기술혁신연구
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• 제10권1호
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• pp.98-123
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• 2002

This study develops a Korean R&D Scoreboard which has originated from the R&D Scoreboard in United Kingdom. The Scoreboard contains details of the R&D investment, sales, growth, profits and employee numbers for Korean companies which are extracted from company annual reports and key ratios calculated, with some movements over time. Companies are classified by the Korea Standard Industrial Classification. The Scoreboard contains 190 companies which consist of 100 largest companies and 30 middle-or small-sized firms listed in Korea Stock Exchange (KSE), and 30 ventures and 30 other firms listed in KOSDAQ. The overall company R&D intensity (R&D as a percentage of sales) is 2.1% compared to the international average of 4.2%. Korea has an unusually large R&D percentage of sales in IT hardware (4.9%) and telecommunication (3.7%). R&D intensity is positively correlated with company performance measures such as profitability, sales growth, productivity and market value. For largest companies listed in KSE and ventures listed in KOSDAQ, the ratio of operating profit to sales is greater for high R&D intensity companies. Sales growth is in proportion to R&D intensity for all companies. Plots of value added per employee or sales per employee vs R&D per employee rise together for the sectors studied, especially for the chemical sectors and automobile sectors, demonstrating a correlation with productivity. The average market value of high R&D companies in the KSE has risen more than 1.6 times that of the KOSPI 200 index. Given the correlation between R&D intensity and company performance and given that R&D is a smaller percentage of surplus (profits plus R&D) than international level (both overall and in several sectors), the challenges facing Korean companies are to maintain the leading position in IT hardware and telecommunication, and to increase the intensity of R&D in many medium-intensive R&D sectors where Korea has an average intensity well below international or US levels.

• 한국콘텐츠학회논문지
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• 제3권4호
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• pp.63-68
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• 2003

본 논문은 통신 네트워크 운용관련 민감도 측정에 관한 연구를 위해 네트워크 운용 적정비용 산출 및 효율화 방안을 제안하였다. 통신 네트워크 운용효율화를 위해 네트워크 운용 효율성 측정을 위한 모형을 개발하였다. 전반적/포괄적 관점에서 산출된 네트워크 운용의 적정비용에 대해 품질수준 개선을 위한 요소, 고객만족도 관련 요소 등과의 연계성을 중심으로 재평가하고 개선하는 것이 본 논문의 가장 핵심적인 연구이다. 이러한 과정은 네트워크 운용의 가장 큰 부분을 차지하는 것이 품질관련 활동이고 품질관련 활동은 결국 고객만족도로 나타나게 되는 것이기 때문에, 각 요소별 개별적인 변화가 상호간에 미치는 영향을 중심으로 상관관계를 정립하여 민감도 측정을 바탕으로 네트워크운용비용을 산출하는 것이 진정한 의미의 적정수준 분석이라 할 수 있다. 따라서, 본 논문에서는 네트워크 운용에 대한 체계적인 모형의 구축 및 효율성 측정을 위한 다양한 시나리오에 따른 민감도 측정을 위한 시스템을 개발하였다.

• 동아시아식생활학회지
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• 제20권5호
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• pp.823-835
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• 2010

The research aimed to measure the efficiency of using multi stores in a foodservice company using by DEA (data envelopment analysis) which is a new management science technique. The study also attempted to identify relevant variables affecting DEA efficiency in order to suggest methods for improving efficiency. The data were collected from 148 contract foodservice operations, which were operated in similar fashion in October 2009. The DEA efficiency was calculated as an output-oriented BCC Model. Sales, and CSI (customer satisfaction index) were used as output variables whereas food cost, labor cost, and management expense were used as input variables to calculate the DEA efficiency. Operation process variables of the unit consisted of the were consist of ratio of regular employee, ratio of housekeeper, meal counts, meal price, food cost per meal, contract period, number of menu items, forecasting accuracy, order accuracy, inventory turnover, use of processed food, deviation of food cost, number of new menus, and number of events. According to the BCC score and profitability, units were classified into four groups: High efficiency-high profitability (HEHP), High efficiency-low profitability (HELP), Low efficiency-high profitability (LEHP), and Low efficiency-low profitability (LELP). The HEHP group contained 54 units, which mostly contracted management fee type and had a high meal price. The units were also very large and, served three meals. Twenty of the units were operated with high labor cost: most of these were factories and hospitals. The LEHP group contained 20 units, that were mainly office stores of large scale and medium price. Fifty-four LELP group had a low meal price. A high performance group must have high efficiency, profitability, and satisfaction. The BCC score was over 0.969, the meal price was over 4,116 won, the food cost was over 2,077 won, and meal counts per month were over 10,212 meals.

• 한국콘텐츠학회논문지
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• 제21권11호
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• pp.361-374
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• 2021

본 연구의 목적은 혁신형제약기업 인증 기업을 대상으로, 기술혁신활동에 대한 효율성과 생산성을 분석하여 경쟁력을 진단하고 강화 방안을 도출하는 것이다. 이를 위해 38개 혁신형제약기업에 대한 2017~2019년 동안의 투입(연구개발비, 종업원 수) 및 산출(매출, 영업이익, 특허) 데이터를 수집하여, DEA, Tobit 및 MPI를 실시하였다. 그 결과 첫째, 혁신형제약기업의 DEA 결과는 규모의 효율성을 보여주는 CCR 모형 값과 내부 운영 효율성을 나타내는 BCC 모형 값 간에 차이가 있었다. 둘째, 효율성은 기업의 특성에 따라 다르지 않았다. 셋째, Tobit 모형은 보유특허수가 효율성에 긍정적인 영향을 미치는 것으로 나타났다. 넷째, 전체 MPI는 0.89로, 이는 TECI가 3%p 감소하고 TCI가 4%p 증가한 것으로 해석할 수 있다. 본 연구의 결과는 비효율의 원인을 규명하고 목표값을 제시하여 효율성 향상을 위한 대응전략을 위한 의사결정 자료로 활용할 수 있다.

• 무역학회지
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• 제45권2호
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• pp.229-262
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• 2020

The price-to-earnings ratio (PER) is an important indicator to measure the stock price and profitability of a firm; it is also the most used valuation indicator among investors. When using the PER to compare the investment values of different stocks, these stocks must come from the same sector. This study mainly focuses on the China's listed manufacturing firms. By learning from previous research results and analyzing the current situation, we studied the correlation between the manufacturing sector's PER and its influencing factors from both macro and micro perspectives, the combination of which eventually sheds light on such correlation. Analyzing GDP growth rate data, Manufacturing Purchasing Managers' Index, and other macroeconomic variables from 2008 to 2018, we conclude that these variables jointly have a certain impact on the average PER of the manufacturing sector. We then form panel data based on relevant (2014-2018) data gathered from 317 of China's A-listed manufacturing firms to study the impact of micro-variables on PER. By using Stata and other software to analyze the panel data, we reach the conclusion that the Debt to Asset Ratio, Return on Equity, EPS growth rate, Operating Profit Ratio, Dividend Payout Ratio, and firm size have a significant impact on PER. The Current Ratio, Treasury Stock ratio and Ownership Concentration have no distinct effect on PER. Based on our empirical findings, we design a theoretical model that affects the PER.