• Proceedings of the Korea Database Society Conference
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• 1999.10a
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• pp.191-201
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• 1999

데이터 웨어하우스와 데이터 품질에 관한 문헌연구를 통하여 데이터 웨어하우스 환경에서 데이터 품질의 향상을 위한 개념적 프레임워크를 개발하고자 하는 것이 본 연구의 목적이다. 데이터 웨어하우스 데이터 품질향상 활동을 지원하는 프레임워크를 개발하는 목적은 (1) 다양한 요구를 가진 사용자들이 웨어하우스 데이터에 접근하기 때문에, 사용자의 요구를 만족시키며 기업의 목적에 적합한 품질향상 활동을 지원하기 위해서이며, 다양한 기업활동을 가장 잘 지원할 수 있는 데이터 품질향상 지침을 관리자에게 제공하기 위해서 이다. (2) 웨어하우스 관리자의 데이터 품질향상 활동을 지원하기 위해서는 품질차원이나 데이터세트 등과같은 품질향상에 필요한 다양한 이슈를 관리자가 인식할 수 있도록 하기 위해서이다. (3) 데이터 웨어하우스 환경에서 데이터 품질 향상에 필요한 체계적이고 포괄적인 안목을 제공하기 위해서이다. 본 연구는 다음과 같은 단계로 수행하게 된다. 첫째, 데이터 웨어하우스의 개념과 데이터 웨어하우스의 구축단계 및 데이터 웨어하우스를 구성하는 프레임워크를 검토한다. 둘째, 데이터 웨어하우스 환경에서의 데이터 품질의 기준과 데이터 품질의 측정 및 데이터 품질의 향상 방안 등을 고찰한다. 셋째, 데이터 웨어하우스 환경에서 데이터 품질의 향상을 위한 개념적 프레임워크를 개발하기 위하여 데이터 웨어하우스 데이터 풀질 향상과 관련된 기업활동, 데이터 세트, 품질의 속성 및 차원 등을 정의한다. 마지막으로 데이터 웨어하우스 환경하에서 데이터 품질을 향상할 수 있는 3차원 구조의 개념적 프레임워크를 제안하며, 나아가 제안한 모형에 대하여 데이터 품질 향상을 위한 프로젝트 활동의 사례를 통하여 모형의 타당성을 개념적으로 설명한다.통하여 각각의 제품을 비교하였으며, 둘째 소프트웨어 종류별 평가로 제품을 응용소프트웨어, 응용개발도구, 시스템 소프트웨어로 분류하여 평균값으로 비교하였다. 셋째, 국내외 제품별 평가분석으로 전체 제품을 국내제품과 국외제품으로 분류하여 비교하였으며, 마지막으로 총괄분석을 통해 가중치를 적용하여 전 제품의 점수를 비교하였다. 여기에서는 각 제품의 평균점수에 대한 차이를 95%의 유의수준으로 T-Test를 실시하였다.uted to the society, and what the socioeconomic impacts are resulted from the program. It would be useful for the means of (ⅰ) fulfillment of public accountability to legitimate the program and to reveal the expenditure of pubic fund, and (ⅱ) managemental and strategical learning to give information necessary to improve the making. program and policy decision making, The objectives of the study are to develop the methodology of modeling the socioeconomic evaluation, and build up the practical socioeconomic evaluation model of the HAN projects including scientific and technological effects. Since the HAN projects cons

• Journal of the Korean Data Analysis Society
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• v.20 no.6
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• pp.2993-3002
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• 2018

This case study introduces the process of developing the technology rating evaluation model for investment. The technology evaluation rating model for investment is a project that the Financial Services Commission and the Ministry of Commerce, Industry and Energy collaborated to expand the scope of technology finance from loan to investment. The technology evaluation model for investment was developed with the aim of predicting high growth companies. The model consists of a statistical model and an expert model. Here, statistical models were modeled by using logistic regression analysis. Expert models gathered opinions of experts and identified the weight of each evaluation item and set the model. The rating system of the model is composed of 10 grades. The distribution of the model was consistent with KTRS grade distribution. Interestingly, the emphasis is on technology and marketability. In the technology valuation grade model for the goddess, there is a considerable difference from the emphasis on managerial competence or business performance.

• Journal of Korea Society of Industrial Information Systems
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• v.14 no.4
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• pp.163-182
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• 2009

The BSC(Balanced Scorecard), a strategic performance evaluation system, has drawn attention as an innovative tool for improving an organization's performance. Recently, the Korean government has recognized the advantages of the BSC and encouraged public enterprises to implement the BSC. However, it has been pointed out that many public enterprises have faced difficulties in constructing and operating the BSC due to lack of clear understanding, a complex environment of performance evaluation, and inherent features of organizational culture. Therefore, this study analyzed a project case of a public enterprise, Korea Southern Power (KSP), which has ever been assessed as an excellent organization in implementing BSC and managing performance. This paper provides procedures, activities, resources (manpower and time), and decision-making issues and criteria required for implementing BSC, along with real project outcomes of the company. Such project details are expected to be used as helpful guidelines for public or non-profit organizations's BSC implementation. Furthermore, the KSP's efforts to cope with its problems and implications derived from the efforts are also expected to help other organizations construct and operate the BSC effectively.

• Environmental and Resource Economics Review
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• v.23 no.4
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• pp.643-665
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• 2014

We study the optimal policy of the contracual arrangement in raising the debt-to-equity ratio for oil, gas and mining project finance deals. We investigate the impact of the optimal contractual relationship between counterparties on the soundness of projects, differing in output price volatility and country risk. Key findings are: first, the existence of EPC sponsors and off-takers generally raises the debt-to-equity ratio. In particular, EPC sponsors and off-taking sponsors jointly mitigate the credit risk caused by counntry risk. Seocond, off-taking and EPC contracts jointly help mitigate the credit risk caused by the country risk, rather than the price volatility. Indeed, the contractual structure raises the debt-to-equity ratio.

• Korean Journal of Construction Engineering and Management
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• v.11 no.2
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• pp.94-105
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• 2010

Recently, resettlement problems of low income groups in the urban regeneration area have been issued in Korea because they have no capability to purchase (or lease) redeveloped housing (or apartment). There are several approaches for supplying affordable housing and one of these is the bidding system which can reduce construction cost. However, the lowest bidding system has many problems such as dumping and substandard quality. In this context, this study proposed bidding system based on technical proposal applying the concept of the lowest total combined bid price for optimization of bid price, reduction of construction cost and period, and maintenance of suitable quality. This bidding system embraces the best value and cost plus time concept on the basis of an improved lowest price bidding system. It consists of the following components: work unit based, project unit based, and period reducing technical proposals. The proposed bidding system for determining bidders are designed to evaluate the adequacy of each technical proposal in the order of the combined minimum price in an effort to effectively optimize bid prices and reduce the construction periods, as well as to maintain a minimum appropriate quality.

• Korean Journal of Construction Engineering and Management
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• v.11 no.6
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• pp.100-110
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• 2010

The main roots of CM service contracts include existing customer repurchases and those made by new customers by existing ones. The study on customers and loyalty can be factors to strengthen CM's competitiveness. However, there have been little attempt to study customer satisfaction and customer loyalty. Construction Management (CM), the advanced construction management method, was introduced 15 years ago in the mid 1990's in the domestic market. The aim of this research is to build a model that can predict customer loyalty based on how much customers are satisfied with CM service. To measure customer satisfaction and loyalty, this research surveyed 135 decision-makers who have experienced CM services. Customer satisfaction was tested and analyzed according to different phases: planning, designing, procurement, construction, and post construction. Referral intention was tested based on NPS theory. Customer types were divided into detractors, passively satisfied and promoters according to the tested measurement and multinomial logistic regression between the satisfaction by construction phases and customer types. This research resulted to a model that can predict customer types: detractors, passively satisfied and promoters, which were determined according to satisfaction level. The initial planning phase also revealed which factor is most influential for a customer to become promoter. These results can be used to acquire customer loyalty by managing the satisfaction of customers through a project under an Internet-based environment. Such can provide the needed information in quickly exploring positive and negative word-of-mouth feedbacks.

• 대한공업교육학회지
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• v.38 no.2
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• pp.1-26
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• 2013

This study inquired following research questions by a narrative research method : What was the job of an engineer in mechanical design field? How did he fulfill his job-related learning in his workplace? What were the context and the characteristic of the job-related learning in the workplace? And some implications of the job-related learning on engineering education were discussed. We identified that the research participant's career as a mechanical engineer has developed through three stages. At first, he engaged on conceptual design of a semi-conductor test machine through self-initiated learning from basic to whole system of the machine. At second stage, he leaded a design group for the concrete design of a ball type semi-conductor test machine. In this stage he learned the meaning of cooperation and cooperative learning. At third stage, he initiated to found an entrepreneur company that was specified to design a semi-conductor test machine. He became CEO of the company. He learned the R & D policy making through contacts with global company, visiting exhibition in abroad. Eventually his main task as a mechanical engineer was the problem solving in the process of machine design. He had experienced and learned through his works : project management, independent fulfilling of tasks, functional analysis and reverse engineering, conceptualizing and test, cohesive cooperation, dialogue and discussion, mediation of conflict, human relationship, leadership. The implication of the narrative analysis on engineering education is, proposed, to give the students more chances to experience and to learn such activities.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.13 no.4
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• pp.169-181
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• 2018

Under the constantly intensifying global competition environment, many companies are exploring new business opportunities in the field of social innovation using creating shared value. In seeking social innovation, it is a key starting point of social innovation to clarify the problem to be solved and to grasp the cause of the problem. Among the many problem solving methodologies, design thinking is getting the most attention recently in various fields. Design Thinking is a creative problem solving method which is used as a business innovation tool to empathize with human needs and find out the potential desires that the public does not know, and is actively used as a tool for social innovation to solve social problems. However, one of the difficulties experienced by many of the design thinking project participants is that it is difficult to analyze the observed data efficiently. When analyzing data only offline, it takes a long time to analyze a large amount of data, and it has a limit in processing unstructured data. This makes it difficult to find fundamental problems from the data collected through observation while performing design thinking. The purpose of this study is to integrate qualitative data analysis and quantitative data analysis methods in order to make the data analysis collected at the observation stage of the design thinking project for social innovation more scientific to complement the limit of the design thinking process. The integrated methodology presented in this study is expected to contribute to innovation performance through design thinking by providing practical guidelines and implications for design thinking implementers as a valuable tool for social innovation.

• Journal of the Korean Regional Science Association
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• v.36 no.3
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• pp.53-65
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• 2020

This study attempted to seek policy directions for development of sustainable urban industrial space through reviewing recent policies and projects of US cities that experienced urban industrial land replacement and industrial suburbanization. The policies and regulations for the urban industrial space preservation include the New York City's Industrial Business Zone, Chicago's Planned Manufacturing District, the no-net-loss framework in San Jose, and the subdivided and the state of the art in zoning systems in Philadelphia and Seattle. These policies and zoning systems have been effective for preventing the conversion of urban industrial lands to other uses, promoting business activities, and creating jobs for urban residents. In addition, the updated and innovative zoning systems allow for a wide variety of urban industrial spaces to meet newly emerging industrial demands. On the other hand, we suggested several policy implications through reviewing the cases of urban regeneration projects in Portland's Willamette Industrial Urban Renewal Area, Atlanta's BeltLine, and Milwaukee's Menomone Valley as follows: 1) updating and reinforcing spatial planning and policies for preservation and revitalization of urban industrial land; 2) considering existing businesses and local workers first; 3) setting up a participatory planning for local workers and residents; 4) preparing policies for brownfield cleanups.

• Journal of the Economic Geographical Society of Korea
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• v.20 no.4
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• pp.453-485
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• 2017

One of the oldest chestnuts in economic geography is this: Cultural and creative industries strongly gather in large cities and this geographic concentration of economic activities leads to regional development. Of course, depending on the circumstances, such a proposition still holds good. But, under the current paradigm shift to knowledge-based economy, it may be open to question. This study aims to investigate financing and knowledge accumulation in the film industry through an alternative framework for explaining their spatial distributions, "formation mechanism of economic space." From the fact that their production organizations are formed on a project basis, project-based financing structure in the investment stage and knowledge accumulation process in the production stage form both axes of it. Film industry as the most mature industry among the cultural and creative industries does not always concentrate in a certain place (industrial agglomeration) or show metropolis-oriented preference. This allows us to reconsider our long brooding theory.