• 보건행정학회지
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• 제21권1호
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• pp.77-92
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• 2011

Objectives : This study examined the health policy researchers' needs and their accessibility towards health insurance claim datasets according to their academic capacity. Methods : An online questionnaire to capture relevant proxy variables for academic needs, accessibility, and research capacity was constructed based on previous studies. The survey was delivered to active health policy researchers through three major scholarly associations in South Korea. Seven-hundred and one scholars responded while the survey as open for 12 days (starting on December 20th, 2010). Descriptive statistics and logistic regression analysis were carried out. Results : Regardless of the definition for operational needs, the prevalent needs of survey respondents were not met with the current provision of claim data. Greater research capacity was shown to be correlated with increased demand for claim data along with a positive correlation between attempts to obtain claim datasets and research capacity. A greater research capacity, however, was not necessarily correlated with better accessibility to the claim data. Conclusions : The substantial unmet need for claim data among the healthcare policy research community calls for establishing proactive institutions which could systematically prepare and make available public datasets and provide call-in services to facilitate proper handling of data.

• 한국정보과학회논문지:데이타베이스
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• 제31권1호
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• pp.1-12
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• 2004

최근 네트워크 구성이 복잡해짐에 따라 정책기반의 네트워크 관리기술에 대한 필요성이 증가하고 있으며, 특히 네트워크 보안관리를 위한 새로운 패러다임으로 정책기반의 네트워크 관리 기술이 도입되고 있다. 보안정책 서버는 새로운 정책을 입력하거나 기존의 정책을 수정, 삭제하는 기능과 보안정책 결정 요구 발생시 정책결정을 수행하여야 하는데 이를 위해서는 보안정책 실행시스템에서 보내온 경보 메시지에 대한 분석 및 관리가 필요하다. 따라서 이 논문에서는 정책기반 네트워크 보안관리 프레임워크의 구조 중에서 보안정책 서버의 효율적인 보안정책 수립 및 수행을 지원하기 위한 경보데이타 분석기를 설계하고 구현한다. 경보 데이타 저장과 분석을 위해서 데이타베이스 스키마를 설계하고 저장된 경보데이타를 분석하는 모듈을 구현하며 경보데이타 마이닝 엔진을 구현하여 경보데이타를 효율적으로 분석하고 이를 통해 경보들의 새로운 유사패턴그룹이나 공격시퀀스를 유추하여 능동적인 보안정책관리를 지원할 수 있도록 한다.

• 지능정보연구
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• 제6권1호
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• pp.73-82
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• 2000

This study examined the characteristicso f the knowledge discovery and data mining algorithms to demonstrate how they can be used to predict health outcomes and provide policy information for hypertension management using the Korea Medical Insurance Corporation database. Specifically this study validated the predictive power of data mining algorithms by comparing the performance of logistic regression and two decision tree algorithms CHAID (Chi-squared Automatic Interaction Detection) and C5.0 (a variant of C4.5) since logistic regression has assumed a major position in the healthcare field as a method for predicting or classifying health outcomes based on the specific characteristics of each individual case. This comparison was performed using the test set of 4,588 beneficiaries and the training set of 13,689 beneficiaries that were used to develop the models. On the contrary to the previous study CHAID algorithm performed better than logistic regression in predicting hypertension but C5.0 had the lowest predictive power. In addition CHAID algorithm and association rule also provided the segment characteristics for the risk factors that may be used in developing hypertension management programs. This showed that data mining approach can be a useful analytic tool for predicting and classifying health outcomes data.

• 산업경영시스템학회지
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• 제43권3호
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• pp.61-67
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• 2020

The fourth industrial revolution encourages manufacturing industry to pursue a new paradigm shift to meet customers' diverse demands by managing the production process efficiently. However, it is not easy to manage efficiently a variety of tasks of all the processes including materials management, production management, process control, sales management, and inventory management. Especially, to set up an efficient production schedule and maintain appropriate inventory is crucial for tailored response to customers' needs. This paper deals with the optimized inventory policy in a steel company that produces granule products under supply contracts of three targeted on-time delivery rates. For efficient inventory management, products are classified into three groups A, B and C, and three differentiated production cycles and safety factors are assumed for the targeted on-time delivery rates of the groups. To derive the optimized inventory policy, we experimented eight cases of combined safety stock and data analysis methods in terms of key performance metrics such as mean inventory level and sold-out rate. Through simulation experiments based on real data we find that the proposed optimized inventory policy reduces inventory level by about 9%, and increases surplus production capacity rate, which is usually used for the production of products in Group C, from 43.4% to 46.3%, compared with the existing inventory policy.

• 한국컴퓨터정보학회논문지
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• 제7권4호
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• pp.141-149
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• 2002

최근 네트워크 구성이 복잡해짐에 따라 정책기반의 네트워크 관리기술에 대한 필요성이 증가하고 있으며, 특히 네트워크 보안관리를 위한 새로운 패러다임으로 정책기반의 네트워크 관리 기술이 도입되고 있다. 보안정책 서버는 새로운 정책을 입력하거나 기존의 정책을 수정, 삭제하는 기능과 보안정책 결정 요구 발생시 정책결정을 수행하여야 하는데 이를 위해서는 보안정책 실행시스템에서 보내온 경보 메시지에 대한 분석 및 관리가 필요하다. 따라서 이 논문에서는 정책기반 네트워크 보안관리 프레임워크의 구조 중에서 보안정책 서버의 효율적인 보안정책 수립 및 수행을 지원하기 위한 경보데이터 관리기를 설계하고 구현한다. 경보 데이터 관리기는 데이터 마이닝 기법을 적용하여 경보 관리기나 고수준 분석기가 효율적으로 경보데이터를 분석하고 능동적인 보안정책관리를 지원할 수 있도록 한다.

• 융합경영연구
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• 제11권3호
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• pp.1-10
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• 2023

Purpose: The purpose of this study is to explore how to apply socially responsible corporate management and public policy to perceive awareness and adoption of electric vehicles for global sustainability. This study examined i) how perceived factors such as economic, environment, convenience, uncertainty, and efficiency factors differ based on experiences of electric vehicles, ii) how actual and potential customers perceive management and policy issues on electric vehicles differently, iii) how proposed factors including policy planning for the management of electric vehicle, prospect of electric vehicles, and socially responsible corporate activities affect overall attitudes toward electric vehicles? iv) how overall attitudes affect growth of electric vehicle industry and development of automobile industry? Research design, data and methodology: This study conducted an online survey and applied t-test, ANOVA, factor and regression analysis. Results: This study found that policy planning for the management of electric vehicles, prospect of electric vehicles, and corporate activities affect overall attitudes toward electric vehicles and actual and potential customers showed mean differences on management and policy on electric vehicles. Conclusions: This study provides managerial and policy implications. This study suggests promoting policies for better adoption of electric vehicles and regulatory policies to enhance global sustainability and prospect of electric vehicles.

• 대한산업공학회지
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• 제43권1호
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• pp.19-29
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• 2017

Nowadays, the policy of open data disclosure has become one of the globally used tools for public innovation. For this reason, this study investigates whether the policy has eventually created the achievement of public innovation in Korea. To this end, this study evaluates qualities of the fourteen thousand open data in Korea that is disclosed to the public and compares it with indexes such as the usage of data, transparency index, and Government 3.0 Excellency Index, which are regarded as the outcome of the disclosure. Based on the result, this study aims to suggest future orientation for the policy.

• The Journal of Asian Finance, Economics and Business
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• 제7권10호
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• pp.35-42
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• 2020

This study aims to investigate the relationship between the variables of Current Ratio (CR), Return-on-Equity (ROE), Return-on-Assets (ROA), Debt-to-Equity Ratio (DER), and Firm Size (FS) on Dividend Policy (DP) in real estate and property companies listed on the Indonesia Stock Exchange in the period 2016-2019, looking at nine real estate companies in Indonesia. The research methodology uses an explanatory analysis approach and linear regression. Based on the eligibility and homogeneity of the data, the number of sample companies selected was nine companies. The company's financial statement data derived from primary data obtained on the Indonesia Stock Exchange, such as current ratio (CR), return-on-equity (ROE), return-on-assets (ROA), debt-to-equity ratio (DER) and firm size and dividend policy variables. The data analysis procedure is first to transform financial data from the original ratio data into interval data and, then, transform it to ordinal data. Furthermore, the validity and reliability process are ignored because the data is primary. Finally, regression testing is part of the hypothesis testing stage. The results of this study showed that the CR, ROE, and firm size had no positive and significant effect on dividend policy. In contrast, DER and ROA have a positive and significant impact on dividend policy.

• Asian Journal of Innovation and Policy
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• 제5권3호
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• pp.315-329
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• 2016

Public R&D investment information has diverse implications for researching R&D trends. Also, as it is important for the establishment of R&D policy to grasp the current situation and trends of R&D to improve science and technology level, science and technology information service system, such as NTIS (National Science & Technology Information Service), is operated at a national level in most countries. However, since the data forms provided by current NTIS are raw data, it is necessary to develop the R&D performance indicator or to use additional scientometric methods by analyzing scientific papers or scientific R&D project information for grasping R&D trends or analyzing R&D task results. Thus, this study applied public R&D investment information to investigate and monitor R&D trends in the field of information & communication technology (ICT) of meteorology and climatology by using NTIS data of Korea and NSF (National Science Foundation) data of USA.

• 대한안전경영과학회지
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• 제11권1호
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• pp.213-222
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• 2009

Two functions are considerable in the record management of policy management system operation. The first one is to prove that shows the conforming status of the management system requirements. The second one is to prove that shows the performing status whether the policy management system is operating effectively to the company. However, the second function requires the high level data analysis techniques, and it is more important for the decision making of the company operations. That is, the second function is more closer than the first function to the top manager's policy management tool. This paper is prepared to offer a study on the desirable record management which is necessary to the scientific decision making process. The scientific decision making requires the analysis of data derived from the reliable records. It is also aimed to enlighten the relations between the reliability of records and the adoption of the results of analysis in associated with the top manager's decision making.