• Journal of Digital Convergence
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• v.11 no.2
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• pp.127-135
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• 2013

For the successful implementation of IT projects, individual consultant's competency in the project is very important. Especially, 3 key factors which are 1) Learning-by-Doing, 2) Learning-from-Others, and 3) Learning-by-Investment with individual consultant's competency, are required for solving various critical issues which can be occurred during implementing IT project. The objective of this research is to examine the effects of these learning processes on decision performance of consultants. Prior to setup the research model, we conducted 3 times in-depth interviews with IT consultants who have over 20 years IT project experiences. Through interviews with IT project expert, we tried to validate our research model and develop survey questionnaires. Over 100 consultants, who are working at SI companies those of Samsung SDS, LG CNS, SK C&C and other small SI companies, were participated to survey. In the contrary of our thoughts before conducted experiment, we got the interesting result from pilot experiment. Most influenced learning process was Learning-by-Doing and less influenced learning process was Learning-from-Others.

• The Journal of Information Systems
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• v.15 no.3
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• pp.175-186
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• 2006

최근 정보기술(IT; Information Technology) 및 네트워크 기술의 발달은 기업사회의 의사결정 패턴에 큰 변화를 주고 있다. 특히 글로벌 정치경제 환경이 급변함에 따라 기업들의 의사결정은 보다 빠른 피드백(feedback loop)을 요구하고 있어 과거의 정확성을 중심의 패턴에 변화된 정보의 시기적 절성(timely information)이 크게 강조되고 있다. 본 논문에서는 이러한 첨단기술사회에서 빠르게 의견수렴을 할 수 있는 기술적인 프레임워크를 구축하였다. 본 시스템은 현대사회의 주요한 경제 및 재무의사결정 구조(infrastructure)인 신용평가(credit rating)제도를 웹 기반 시스템으로 구현함으로서 정보의 시기적절성과 현재성을 높이는 의사결정지원시스템을 시현하였다.

• Journal of the Korea Computer Industry Society
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• v.2 no.8
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• pp.1025-1034
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• 2001

We suggest how to use DSS(Decision Support System) as one alternative way of taking advantage of IT in order to develop and maintain Knowledge-Intensive Organization. As organizations support decision making by structuring decision making process, each organization should share implicit knowledge with each member and convert it into explicit one through structuring and synthesizing. Also we show that knowledge management system, which has not been efficiently applied to organization until now, could be used by DSS. Though there are not many cases of successful use of KMS benifits to provide such functions as share, synthesize and solve with organization, it is expected to use DSS frequently by adopting these If methods for achieving and maintaining Knowledge-Intensive Organization.

• Journal of Intelligence and Information Systems
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• v.12 no.4
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• pp.73-90
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• 2006

When a consumer intends to purchase products through Internet stores, many difficulties are met because of limitations of the current search engines and the current web structure, and lack of tools supporting decision-makings. This paper raises an Internet shopping problem and proposes a framework of decision making process to settle it with an intelligent agent based on Semantic Web and Finite Domain Constraint. The agent uses finite domain constraint programming as modeling and solution methods for the decision problem under the Semantic Web environment.

• Journal of Information Management
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• v.19 no.1
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• pp.1-29
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• 1988

The purpose of this study is to investigate a decision making support system for the effective information management. Decision making theory is reviewed and problems are discussed. A model is suggested through the computing of expected monetary value in decision tree technique. The expected monetary value is computed by 1 inking the probability theory with chance node. The selection of right expected monetary value and expected value of perfect information will make great advance the present system. It is concluded that expected monetary value and expected value of perfect information in decision tree techniques will make great aids to advance information management system.

• 한국IT서비스학회:학술대회논문집
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• 2005.05a
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• pp.215-221
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• 2005

최근 RFID가 비즈니스의 여러 분야에서 추적시스템을 중심으로 도입되기 시작하고 있으며, 이러한 시스템들이 기업에 괄목할만한 효율성의 중가와 비용의 감소를 가져올 것으로 기대되고 있다. 한편, 기업의 대용량 정보저장고로 사용되어 온 데이터 웨어하우스는 생태적으로 과거의 정적인 데이터를 분석하도록 디자인 되었으며, 온라인 분석도구인 OLAP은 데이터 웨어하우스에 저장된 정적 데이터를 분석하는 도구로 사용됨으로 의사결정 지원의 역할을 하고 있다. 그렇다면 RFID를 통하여 실시간으로 수집되는 정보가 OLAP과 결합할 경우 그 정보는 추적과 같은 단순한 정보분석이 아니라 실시간 기반의 보다 중요한 의사결정을 위하여 사용될 수 있을 것이다. 본 연구에서는 데이터 웨어하우스의 정보소스를 확장하기 위한 노력의 일환으로 RFID와 데이터 웨어하우스의 통합모델을 제안한다. 그와 함께 RFID 기기를 통하여 수집된 실시간 기반의 동적인 정보를 분석할 수 있는 OLAP을 제시하고 있다. 그리고 이러한 개념을 프로토타입으로 구현함으로서 유비쿼터스 컴퓨팅 기술의 핵심을 이루고 있는 RFID가 데이터 웨어하우스에 정보소스를 제공할 수 있으며 온라인 분석도구와 결합될 경우 보다 강력한 의사결정 지원도구가 될 수 있음을 보여 준다.

• 한국IT서비스학회:학술대회논문집
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• 2008.11a
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• pp.204-207
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• 2008

본 논문에서는 효율적인 의사결정 지원을 위해 SHADE 기반의 공유 데이터 접근 활동들에 대한 절차를 제안한다. 먼저 SHADE에 대한 개념 및 기술구조를 제시하고 공유 데이터 접근을 위해 요구되는 핵심 기술, 즉 데이터 디렉토리 서비스 기술, 데이터 미디에이션, 복제 기술에 대한 개념과 특징을 분석한다. 그런 다음 SHADE 기술구조 하에 효율적으로 공유 데이터에 접근할 수 있도록 4개 활동 각각에 대해 절차를 제안한다. 제안한 절차에는 5단계의 디렉토리 서비스 및 4단계의 검색 절차, 데이터 미디에이션을 이용한 5단계의 데이터 중개 절차, 미들웨어를 이용한 7단계의 실시간 데이터 교환 및 4단계의 데이터 복제절차가 각각 포함된다. 향후 제안한 공유 데이터 접근 절차를 통해 정보체계 간 데이터 연결 능력이 향상될 뿐만 아니라 이를 통해 정확하고, 신속한 의사결정 지원에 도움을 줄 것으로 기대한다.

• The Journal of the Korea Contents Association
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• v.21 no.2
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• pp.236-247
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• 2021

The purpose of the study was to investigate the influencing factors of autonomy preference on decision-making among chronic disease patients. Data were collected from 522 chronic disease patient and it was analyzed by descriptive statistics, t-test, ANOVA, Pearson's correlation coefficients, and multiple linear regression, using SPSS 26.0 ver. program. Significant factor influencing decision-making preference was health concern (β=-.17, p<.001), and factors influencing information-seeking preference were gender (β=-.20, p<.001) and number of questions during the treatment (β=.09, p=.030). Healthcare providers should take into account the characteristics of patients and establishment of a strategy to improve the quality of communication.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.19 no.7
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• pp.463-473
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• 2018

This investigation was a descriptive study that examined the relationship among factors including professional autonomy, role conflict, and clinical decision-making ability of nurses on comprehensive nursing service wards. To accomplish this, a survey of 234 nurses working at D city and G city who were selected based on convenience sampling was conducted. Data were collected using a self-reported questionnaire completed by 234 nurses at four clinical hospitals from October 12, 2017 to November 30, 2017. The collected data were evaluated by t-tests, ANOVA, Pearson's correlation and stepwise multiple regression analysis. The mean clinical decision-making ability score was $3.38{\pm}0.78$, which corresponded to an intermediate level of clinical decision-making ability. Clinical decision making ability was positively correlated with professional autonomy, but role conflict showed a negative correlation. The factors having the greatest impact on clinical decision-making ability were found to be, in order, length of work, education level, professional autonomy and role conflict, which together accounted for 38.7% of the total impact. To improve clinical decision making ability, it is important to improve autonomy and role conflict. Additionally, to improve clinical decision-making ability, it is necessary to improve clinical decision-making ability to determine nurses tasks through professional autonomy and role conflict. Overall, the results of this study can be utilized as baseline data when developing a program to enhance nurses' clinical decision making ability. Moreover, it is suggested that an interventional study analyzing validity and effectiveness of developed education programs be conducted.

• Journal of Digital Convergence
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• v.10 no.10
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• pp.97-106
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• 2012

In the past, executive managers made a decision based on personal experience and knowledge due to lack of the appropriate and timely information. With the development of information systems and technologies, efficiency and productivity of business operation has been enhanced. In this study, we propose a system design and architecture blue-print related to strategic decision making support system. The proposed system consists of 3 key parts; individual business feasibility test, business portfolio feasibility test, business portfolio management. The three key parts are comprised of 11 components to generate information and knowledge based on various data input from inside and outside of firm. This system is expected to provide objective and reliable output to users. In addition, the proposed strategic decision support system would help respond to a rapidly changing business environment.