• 경영정보학연구
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• 제8권1호
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• pp.287-303
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• 2006

기업에서 인적자원에 대한 투자의 중요성이 증가하고 실질적인 금전적 지출이 커지고 있는 상황에서 교육의 실질적인 성과 향상을 기할 수 있는 방안으로서 액션러닝에 대한 관심이 최근에 커지고 있다. 본 연구는 새로운 교육방법으로서 액션러닝을 소개함과 동시에 액션러닝 방식을 활용한 교육프로그램의 구체적인 개발 및 운영과정을 분석하여 액션러닝 운영상의 시사점을 도출하려 한다. 본 논문은 2005년 9월부터 2006년 1월까지 진행된 (주) 효성의 과장승격후보자과정에 대한 액션러닝을 적용한 사례를 심층 분석하였다. 그 결과는 다음과 같다. 첫째, 액션러닝은 관리자들이 직무 수행하는데 문제가 되는 불필요한 과정을 개선하는데 도움을 주었다. 둘째, 액션러닝을 적용하는데 있어, 내부/외부 Facilitator들의 통합적 활용이 교육효과 극대화에 기여하였다. 셋째, 최고경영자 및 경영층의 지원과 인재개발팀장의 액션러닝에 대한 적극적 추진이 주요한 성공요인으로 판단된다.

• 터널과지하공간
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• 제29권1호
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• pp.1-11
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• 2019

본 연구에서는 국내 의료, 제조, 금융, 자동차, 도시 분야와 해외 광업 분야에서 머신러닝 기술이 활용된 사례를 조사하였다. 문헌 조사를 통해 머신러닝 기술이 의학영상 정보시스템 개발, 실시간 모니터링 및 이상 진단 시스템 개발, 정보시스템의 보안 수준 개선, 자율주행차 개발, 도시 통합관리 시스템 개발 등에 광범위하게 활용되어왔음을 알 수 있었다. 현재까지 국내 광업 분야에서는 머신러닝 기술의 활용사례를 찾을 수 없었으나, 해외에서는 광상 탐사나 광산 개발의 생산성 및 안전성을 개선을 위해 머신러닝 기술을 도입한 프로젝트들을 찾을 수 있었다. 향후 머신러닝 기술의 광업 분야 도입은 점차 확산될 것으로 예상된다.

• 한국융합학회논문지
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• 제9권11호
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• pp.245-252
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• 2018

평생학습사회와 학령인구의 감소로 인해 대학의 구조적인 변화가 성인친화적인 대학의 체제 개편으로 이어지고 있다. 2008년 이후로 평생학습중심대학 육성사업, 평생학습 단과대학사업 등의 대학 중심의 평생교육 활성화사업이 2015년 양대 사업을 통합한 대학의 평생교육체제 지원사업으로 가속화되고 있다. 이 연구에서는 평생학습사회에서 고등교육에 대한 성인의 학습욕구를 기반으로 성인친화적 교육과정, 성인학습자 지원시스템, 다양한 학습성과의 평가, 성인학습자의 임파워먼트와 같은 네 가지 분석 틀에 의해 대학 평생교육체제 지원사업의 운영 실태를 분석하였다. 대학의 평생교육 체제 개편은 세대간 문화적응 및 통합과정을 통해 스스로 지위와 역할을 부여하는 임파워먼트된 성인학습자의 촉진을 지향할 것을 제시하고 있다.

• International Journal of Quality Innovation
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• 제9권2호
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• pp.99-117
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• 2008

High-tech industry has been the principal economic source for Taiwan in recent years. The characteristics of high-tech industries in Taiwan are changeable product markets, short product life cycles and high company attrition rate. In the globalization trend, the high-tech industry has gradually increased corporate competitiveness and reached the goal of sustainable operations through knowledge management, knowledge sharing and new product research and development. Firms have aggressively strengthened and integrated their internal and external resources and enhanced knowledge sharing to increase industry operational performance. Effectively strengthening the knowledge management operation and performance evaluation of knowledge sharing in Taiwan's high-tech industry has become a critical issue. In the selection of knowledge sharing Key Performance Indicators (KPI), this research divided the knowledge sharing indicators into representative strategic indicators such as organizational knowledge learning, organizational knowledge resources, organizational information capacity and organizational knowledge performance through screening using Factor Analysis. The characteristics of the constructs were interdependent. This research calculated and adjusted the correlation among the key performance knowledge sharing indicators using ANP and determined the relative weight of knowledge sharing.

• 경영과학
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• 제18권1호
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• pp.135-145
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• 2001

In recent environment of dynamic management, there is growing recognition that information and knowledge management systems are essential for efficient/effective decision making by CEO. To cope with this situation, we suggest the Data-Miming scheme as a key component of integrated information and knowledge management system. The proposed system measures business performance by considering both VA(Value-Added), which represents stakeholder’s point of view and EVA (Economic Value-Added), which represents shareholder’s point of view. To mine the new information & Knowledge discovery, we applied the improved genetic algorithms that consider predictability, understandability (lucidity) and reasonability factors simultaneously, we use a linear combination model for GAs learning structure. Although this model’s predictability will be more decreased than non-linear model, this model can increase the knowledge’s understandability that is meaning of induced values. Moreover, we introduce a random variable scheme based on normal distribution for initial chromosomes in GAs, so we can expect to increase the knowledge’s reasonability that is degree of expert’s acceptability. the random variable scheme based on normal distribution uses statistical correlation/determination coefficient that is calculated with training data. To demonstrate the performance of the system, we conducted a case study using financial data of Korean automobile industry over 16 years from 1981 to 1996, which is taken from database of KISFAS (Korea Investors Services Financial Analysis System).

• 국제학술발표논문집
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• The 9th International Conference on Construction Engineering and Project Management
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• pp.230-237
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• 2022

It is difficult to predict industrial accidents in the construction industry because many accident factors, such as human-related factors and environment-related factors, affect the accidents. Many studies have analyzed the severity of injuries and types of accidents; however, there were few studies on the prediction of injured body parts. This study aims to develop a classification model to predict the part of the injured body based on accident-related factors. Construction accident cases from June 2018 to July 2021 provided by the Korea Construction Safety Management Integrated Information were collected through web crawling and then preprocessed. A naïve Bayes classifier, one of the supervised learning algorithms, was employed to construct a classification model of the injured body part, which has four categories: 1) torso, 2) upper extremity, 3) head, and 4) lower extremity. The predictor variables are accident type, type of work, facility type, injury source, and activity type. As a result, the average accuracy for each injured body part was 50.4%. The accuracy of the upper extremity and lower extremity was relatively higher than the cases of the torso and head. Unlike the other classifications, such as spam mail filtering, a naïve Bayes classifier does not provide a good classification performance in construction accidents. The reasons are discussed in the study. Based on the results of this study, more detailed guidelines for construction safety management can be provided, which help establish safety measures at the construction site.

• 한국간호교육학회지
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• 제29권2호
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• pp.138-147
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• 2023

Purpose: This study aimed to identify the concrete educational needs of visiting nurses working in a community health setting in Korea. Methods: We conducted four focus group interviews from October 7 to October 18, 2021. Twenty-five visiting nurses who worked in public health centers were recruited through purposive sampling. A qualitative content analysis was used to analyze the interview data. Results: The demands of educational contents for visiting nurse safety management practical training were: (1) coping with physical and verbal violence, (2) coping with sexual violence, (3) infection control for infectious diseases with a high prevalence in the community, and (4) preventing and coping with animal bites during home visits. In addition, visiting nurses suggested training programs that comprised: (1) case-based learning, (2) short video clips, and (3) recurrent integrated education. Conclusion: Safety management training programs for visiting nurses should be implemented to the extent that they add no burden on their workload and are easily accessible at any time. In addition, training programs should be based on actual cases and be focused on contents that can be applied in home visit situations. A practical safety management training program should be developed based on the educational needs of visiting nurses, as identified through this study.

• 지식경영연구
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• 제17권2호
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• pp.27-50
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• 2016

Korean manufacturing industry have recently faced the catch-up of China in the mass commodity product, such as automotive, display, and smart phone in terms of market as well as technology. Accordingly, discussion on the importance of achieving catch-up in complex product systems (CoPS) has been increasing as a new innovation engine for the industry. In order to achieve successful catch-up of CoPS, we explored emerging technologies of CoPS, which are featured by the characteristics of radical novelty, relatively fast growth and self-sustaining, through the study of emerging technologies of gas turbine for power generation. We found that emerging technologies of the gas turbine are technologies for combustion nozzle and composition of electrical machine for increasing power efficiency, washing technology for particulate matter, cast and material processing technology for enhancing durability from fatigue, cooling technologies from extremely high temperature, interconnection operation technology between renewable energy and the gas turbine for flexibility in power generation, and big data technology for remote monitoring and diagnosis of the gas turbine. We also found that those emerging technologies resulted in technological progress of the gas turbine by converging with other conventional technologies in the gas turbine. It indicates that emerging technologies in CoPS can be appeared on various technological knowledge fields and have complementary relationship with conventional technologies for technology progress of CoPS. It also implies that latecomers need to pursue integrated learning that includes emerging technologies as well as conventional technologies rather than independent learning related to emerging technologies for successful catch-up of CoPS. Our findings provide an important initial theoretical ground for investigating the emerging technologies and their characteristics in CoPS as well as recognizing knowledge management strategy for successful catch-up of latecomers. Our findings also contribute to the policy development of the CoPS from the perspective of innovation strategy and knowledge management.

• 유통과학연구
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• 제10권6호
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• pp.39-53
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• 2012

기업에 경쟁우위를 가져다주는 많은 자원들 중에서 특히 지식(knowledge)은 생산 활동을 위해 다른 자원을 변화시키거나 확보할 수 있도록 만드는 중요한 자원으로 알려져 있다. 이러한 조직 내 지식은 다양한 형태로 존재하고, 다양한 장소나 개인에게 산재해 있기 때문에, 이를 통합하고 체계적으로 활용하기 위한 기업의 전사적 관리 활동이 필요하다. 특히 지식관리시스템(KMS: knowledge management systems)은 조직 내 지식을 창조하고, 공유하고, 적절히 사용함으로써 지식관리 프로세스를 지원하고 조직이 가진 지식자원의 가치를 극대화하여 기업의 학습조직화와 성과 증진을 이끌 수 있다. 이에 본 연구는 국내 대표적인 프랜차이즈 기업인 파리바게뜨의 성공적인 지식관리시스템운영 사례를 분석하여 프랜차이즈 기업들의 지식경영을 강화 및 지식관리시스템(KMS) 구축과 개선을 위한 구체적인 시사점을 제안하고자 하였다. 결과적으로 최고경영층의 관심과 지원, 능동적인 지식 공유와 활용을 위한 학습조직 문화, 네트워크 활성화를 통한 지식의 변환, 정보기술, 지식경영의 내재화를 위한 촉진제도와 보상이라는 5가지 주요 요인이 프랜차이즈 기업의 지식관리시스템의 성공적 운영을 위해 반드시 고려되어야 하는 요인임을 밝혀낼 수 있었다.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제14권5호
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• pp.2022-2042
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• 2020

This research aims to contribute to the discipline of knowledge management (KM) in Higher Education (HE), and is conducted using the case of the study programme (SP) for Integrated Academic Studies (IAS) of Technics and Informatics (TI). A deduction-induction methodology is applied, using a Plan-Do-Check-Act (PDCA) approach to design a suitable KM concept for making improvements to the SP IAS TI on the standardisation platform. Based on the application of the International Classification of Standards (ICS), the research analyses the correlations and competences acquired during the courses within the accredited TI study programme of two-course studies. On the basis of the results of a comparative analysis of the developmental learning process and educational goals, it is shown that knowledge management in correlation with standardisation leads to the improvement of study programmes in the upcoming accreditation cycle on the standardisation platform. Frequent innovations within standardised thematic fields (daily, weekly, monthly, etc.) indicate the need for appropriate changes to the SP. The contribution to KM is through an original analysis of annual samples of more than 90,000 standardised sources in correlation with the TI study programme. Expert System (ES) modelling and the original results enable an analogous contribution to the future KM of other SPs.