• 한국유통학회지:유통연구
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• 제1권2호
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• pp.221-251
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• 1996

The retail industry of Korea has, owing to the increase of purchasing power of her people and the changing pattern of consumption appetite, marked a considerable development. Nevertheless the retail industry of Korea is still in primitive stage with its smallness of size, density of stores and inefficiency of management compared to those in the developed countries. It is a high time for Korean distribution market to boost its competitive power in the wake of the opening of distribution industry since January of 1996. Accordingly, it should be the goal of these markets to maximize its positive aspects while trying their best to minimize the negative aspect in this transition time for globalization.

• International journal of advanced smart convergence
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• 제1권2호
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• pp.12-15
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• 2012

Energy costs for operating and cooling computing resources in Cloud infrastructure have increased significantly up to the point where they would surpass the hardware purchasing costs. Thus, reducing the energy consumption can save a significant amount of management cost. One of major approach is removing hardware over-provisioning. In this paper, we propose a technique that facilitates power saving through reducing resource over provisioning based on virtualization technology. To this end, we use dynamic workload shaping to reschedule and redistribute job requests considering overall power consumption. In this paper, we present our approach to shape workloads dynamically and distribute them on virtual machines and physical machines through virtualization technology. We generated synthetic workload data and evaluated it in simulating and real implementation. Our simulated results demonstrate our approach outperforms to when not using no workload shaping methodology.

• 산업경영시스템학회지
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• 제33권3호
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• pp.10-21
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• 2010

Promotion system can be used as strategical management weapon to enhance the sales power. Planned order system has some similarities with promotion system to create purchasing power and to supply the service parts with low price on purpose. The only difference is whether it is prearranged event or not. The effectiveness of forecasting has increased with normal state of ordering process. However, the accuracy of forecasting has diminished with irregular state of ordering, such as demand occurrences by unexpected climate change or intended planned order by the company. A planned order system is examined through the process of computing the effectiveness on the basis of forecasting in this paper. And it is suggested that how to increase the accuracy of forecasting capability under the planned order system.

• 대한안전경영과학회지
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• 제11권1호
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• pp.93-101
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• 2009

The use of the gas turbine for power supply is increasing recently. Accordingly, the operation and maintenance cost of the gas turbine is gradually increasing and the various efforts to cut the cost are needed. For an operation and maintenance cost saving of the gas turbine, reductions of the new purchasing charge and the reproduction repair cost of the hot gas parts are required through more effective operation and life management methods for the hot gas parts. The hot gas parts are the main parts of the gas turbine and they are replaced with the periodic. In this research, efficient operation and life management methods for the hot gas parts were presented with the cases. The methods were analyzed and verified based on real data and the cases for improving a lifetime were utilized in the field.

• 산업경영시스템학회지
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• 제28권3호
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• pp.58-64
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• 2005

Customer sensibility based recommendation agent system was developed to tailor to the customer the suggestion of goods and the description of store catalog in on-line shopping mall. The recommendation agent system composed of five modules and seven services including specialized algorithm. This study was to investigate the effectiveness of the customer sensibility based recommendation agent system in on-line shopping mall. This study asked 30 male and female students to perform the task in on-line shopping mall and facilitated them questionnaires. The questionnaires were administered to subjects to measure quality precision, ease of use, support of buying, purchasing power, future intention of the system. The study revealed that good part of the subjects positively evaluated the customer sensibility based recommendation system except for ease of use. The study on usability of the recommendation agent system has need to be performed in next. This paper shows that the satisfaction and the buying power of customers may be improved by presenting customer sensibility based recommendation in on-line shopping mall.

• 한국실내디자인학회:학술대회논문집
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• 한국실내디자인학회 2007년도 추계학술발표대회 논문집
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• pp.26-29
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• 2007

By changing housing market, housing cultural center furnishes information, value added, image of housing. For publicity their unique house, construction companies provide not only concrete and substantial material but also sensible and capacity service through the community space of housing cultural center. The consumer's experience of housing cultural center have an effect on purchase power apartment. The image of enterprise is important to select commodities to consumers. Though main clients are women, housing cultural center has not space concept and aim to concern for them. According to begin women a group of consumers, they have purchasing power in family. Apartment is no exception. Housing cultural center is used as continuous culture space that provide various experiential chance for consumer, especially women by systematize and distinct design detail and feature component. Accordingly, the purpose of this study is an analysis about community space of housing cultural center with the woman marketing based on experience.

• 한국농업기계학회:학술대회논문집
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• 한국농업기계학회 1996년도 International Conference on Agricultural Machinery Engineering Proceedings
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• pp.2-5
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• 1996

Orissa is one of the major rice growing states of India. The state covers an area of 15.54 mha with 6.00mha cultivable holding is 1.46 ha. The power input is much below the national average of 0.87 hp/ha. Recently, the Government of Orissa has accorded equal status to Agriculture as given to the Industry with determination to increase the power input for agricultural production to2.54 hp/ha so as to obtain an average rice productivity of 3.0t/ha. Appropriate power units so as to be available with in the purchasing power of the small size farm owners in lieu of a pair of bullocks appear to be the right approach and is found to be in line with the highly successful Japanese and Korean model of small farm mechanization . The state needs 0.25m units of small tillers and tractors per year. The present population of tractors and power tillers in the state is about 11000nos. In India, two manufactures in collaboration with Japanese firms started manufacturing of power tiller sin 197 . The present production of power tillers in the country is about 1000 unit per year which is inadequate to meet the demands of all the stats. To meet the demands of the Orissa state, three Chinese model power tillers imported by local agencies are being supplied to the farmers during the past two years. Encouraged by the demand of power tillers in the state, three local manufacturing units located at Bhubanewar have come up with their own model of light weight power tillers(1.5 to 3.0 hp) during the past one year. These machine have been evaluated in the farms of the university and have been found to be promising . There is a target of supplying during 1996-97. The local manufacturers are in need of international collaboration for technical knowhow to manufacture these machine economically to meet the requirement of the farmers.

• 경영정보학연구
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• 제10권2호
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• pp.137-158
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• 2008

기업 경쟁력 강화의 중요한 이슈인 대량 개별화(mass-customization)의 실행을 위하여 통합 고객관계 관리 프로세스로서의 CRM(customer relationship management)에 대한 관심과 활용에 대한 필요성은 점점 더 높아지고 있다. 특히, 기존 고객들의 구매 정보를 기반으로 고객의 구매 패턴을 파악하고 의도를 예측하는 것은 오늘날 실질적인 판매 전략을 수립하는 마케팅 분야에서 상당히 큰 비중을 차지하고 있다. 고객의 구매의도 예측에는 대량의 데이터로부터 과거에 인지하지 못했던 의미 있고, 근거 있는 정보를 추출하는 데이터마이닝(datamining)이 주로 사용되고 있다. 기존의 구매의도 예측에 사용된 데이터마이닝 기법들은 주로 신경망(neural networks)과 로지스틱 회귀분석(logistic regression analysis)이었는데, 예측 정확성 및 모형 구축의 어려움으로 인한 다양한 문제점들이 제기되고 있는 실정이다. 따라서, 본 논문에서는 기존의 기법들이 가지고 있는 단점들을 개선하기 위하여 신경망과 로지스틱 회귀분석 외에 연관규칙(association rule), 연관성 매트릭스(association matrix), 의사결정 나무(decision tree), 베이지안 망(bayesian network), SVM(support vector machine) 기법들을 추가로 제안하였다. 본 연구의 목적은 고객의 특정 상품에 대한 구매의도 예측을 위하여 새로운 알고리즘을 제시하기보다는 기존의 다양한 데이터마이닝 기법들을 적용시켜 봄으로써, 가장 우수한 예측성과를 나타내는 기법을 발견하는 것이다. 연구에 사용된 자료는 기존의 연구에서는 적용되지 않았던 편의점의 영수증 데이터이다. 예측 목표상품은 카테고리화 된 '우유'와 '냉동식품'이며, 제안된 기법들의 신뢰성을 위하여 전체 데이터를 10개의 training과 test 셋으로 중복되지 않게 구분함과 동시에 10번의 교차 검증(cross validation)을 실시하였다. 실험 결과 SVM이 영수증 데이터를 이용한 고객의 특정 상품에 대한 구매의도 예측에서 가장 우수한 성과를 나타내는 것을 확인하였다.

• 농업과학연구
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• 제33권1호
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• pp.43-56
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• 2006

In this thesis we aim at analyzing international competitive power of Chinese ginseng in comparison with Korean ginseng and searching policy direction for Korea to compete Chinese ginseng industry. We summarized the research results as follows; First, we examine the structural change of ginseng industry of China. Second, we review the theories for international competitiveness and apply the method of analyzing competitiveness to ginseng industry. Third, we compared the international competitive power of the ginseng industry between China and Korea and found that Chinese ginseng, estimated by Revealed Comparative Advantage(RCA) at about 15, still remains high competitiveness in terms of cost and price but lowering price competitiveness recently. Based on the research results, we suggest export promotion strategies of the Korean ginseng as follows; 1) Korean government should enforce trade cooperation with China so as to register Korean root ginseng an importable medicine. 2) Korean ginseng producer should develop various products such as capsules, powders and etc. according to China's consumer purchasing power and taste. 3) Korean ginseng should be sold as an differentiated commodity so that it will contribute to building consumer loyalty to Korean ginseng, makes market share superior to other cheaper ginseng products in China. 4) In order to be effective brand marketing and product advertisement, there should be established reliable networks to process and distribute Korean ginseng products exclusively.

• 마케팅과학연구
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• 제7권
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• pp.209-238
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• 2001

최근까지 대형소매점 구매담당자들의 직무내용에 대한 외국논문들은 계속 연구되어 오고 있지만 국내에서는 이들 구매담당자의 직무내용 분석을 다룬 연구는 거의 없었다. 따라서 본 연구에서는 소때점 구매담당자의 직무내용분석기법 중에서 PAQ차원을 중심으로 대형소매점인 백화점과 할인접 구매담당자의 직무내용을 분석하고. PAQ차원별 변수 중 에서 어떠한 변수가 업무성과와 점포성과에 가장 큰 영향을 미치는지를 실증분석하였다. 이를 위해 소매점 구매담당자의 역할과 PAQ차원의 직무내용, 업무성과, 점포성과의 선행 연구를 토대로 연구모형과 가설을 설정하였고 설문지의 측정문항을 바탕으로 백화점과 할 인점 구매담당자을 대상으로 설문조사를 실시하고 그 결과를 실증 분석하였다.