• 한국컴퓨터정보학회논문지
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• 제24권6호
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• pp.211-216
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• 2019

Knowledge sharing is safe to say that we have already embarked on knowledge-based global economy where knowledge is a decisive factor in global competition for corporations. So in the age of knowledge-based management, it is how we use knowledge that decides success or failure for corporations and the competitiveness of their countries at large as well. We did this research with the help of those who were working in ICT industry including manufacturing, tourism, and others. In this research, we looked into how project participants, organizational characteristic, and relational characteristic affect knowledge sharing and utilization, and what are the factors that have positive effects on corporate success. And all the factors presented in the research are found to have positive effects on the knowledge sharing and utilization. The factors appeared to have positive effects starting with project at first and then on corporate success at large.

• 동서간호학연구지
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• 제18권1호
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• pp.1-8
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• 2012

Purpose: The purpose of this study was to examine the effect of an individual education program on breast cancer patients who received chemotherapy. Methods: The quasi-experimental design was employed with a nonequivalent control group pre-post test. The study was performed from January 1 to July 30, 2010 for the patients who were firstly treated by A C (Adriamycin, Cyclophosphamide) chemotherapy in a university hospital. Control group was recruited first to prevent treatment diffusion. The experimental group was recruited and received an individual education during 30 minutes. The collected data were analyzed using SPSS 16.0 version. ${\chi}^2$-test, t-test, and the Pearson correlation were implemented in order to examine the effect of the individual education among the patients who are treated by chemotherapy. Results: The experimental group had a greater improvement in self-care knowledge (t=-5.236, p=.001), and self-care performance (t=-6.543, p=.004) than did control group. Moreover, the experimental group had significantly positive correlation between self-care knowledge and self-care performance (r=.494, p=.006) as compared to the control group. Conclusion: The individual education program on cancer patients who were treated by chemotherapy could be utilized as an effective nursing intervention.

• 대한산업공학회지
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• 제23권1호
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• pp.197-213
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• 1997

It is not easy to find a good production schedule which can be used in practice. Therefore, production scheduling simulation with a simple dispatching rule or a set of dispatching rules is used. However, a simple dispatching rule may not create a robust schedule, for the same rule is blindly applied to all internal production processes. The presumption is that there might be a specific combination of appropriate rules that can improve the efficiency of a total production system for a certain type of orders. In order to acquire a better set of dispatching rules, simulation is used to examine the performance of various combinations of dispatching rule sets. There are innumerable combination of rule sets. Hence it takes too much computer simulation time to find a robust set of dispatching rule for a specific production system. Therefore, we propose a concept of the knowledge based simulation to circumvent the problem. The knowledge based simulation consists of knowledge bases, an inference engine and a simulator. The knowledge base is made of rule sets that is extracted from both simulation and human intuition obtained by the simulation studies. For a certain type of orders, the proposed system provides several sets of dispatching rules that are expected to generate better results. Then the scheduler tries to find the best by simulating all proposed set of rules with the simulator. The knowledge-based simulator armed with the acquired knowledge has produced improved solutions in terms of time and scheduling performance.

• Perspectives in Nursing Science
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• 제11권2호
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• pp.153-161
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• 2014

Purpose: This study was aimed to compare and contrast the evaluation scores on students OSCE performance between the instructors and students according to the Bloom's taxonomy. Methods: A total of sixty six students in a nursing college in Seoul, Korea and four instructors were recruited in the study. The 28 sophomore students were assigned to an OSCE on intravenous injection, whereas 38 junior students on tracheostomy care. Knowledge levels were measured by the students using the researcher developed knowledge questionnaires, and the attitudes and skills by the students and instructors by the modified clinical performance checklists. The data were analyzed by SPSS 22.0 program. Results: For knowledge, the higher GPA of the previous semester was only significant factor of higher knowledge scores. There were statistically significant differences in scores of total (t=-2.740, p=.008) and skill (t=-2.528, p=0.014), but not in attitude between the instructors and students' evaluations. The students evaluated their skill scores significantly higher than those of the instructors. For knowledge, the higher GPA of the previous semester was the only significant factor of higher knowledge scores. In attitude scores, the students in higher grade significantly overestimated themselves (t=3.076, p=.003). Conclusion: Clinical performance assessment requires methodological validity and reliability for student to attain necessary clinical skills properly and efficiently. The findings of this study mandate various assessment methods for nursing simulation evaluations to be valid.

• 한국산학기술학회논문지
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• 제19권12호
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• pp.374-382
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• 2018

본 연구는 간호대학생을 대상으로 정보매체를 통한 환자안전사고 노출 정도와 학생들의 환자안전관련 지식, 인식, 수행자신감의 관계를 알아보기 위해 시행되었다. 연구의 대상자는 일개 여대의 간호학과에 재학 중인 대학생으로 서면동의서를 작성한 학생 348명 중 불충분한 설문지를 제외하고 337부를 자료 분석에 활용하였다. 자료수집은 2018년 6월 4일에서 12일까지 이루어졌으며 수집된 자료는 SPSS 21.0프로그램을 활용하여 기술 통계, t-test, one-way ANOVA, Pearson's correlation coefficient 방법으로 분석되었다. 연구결과 대상자의 환자안전에 대한 지식은 평균 6.43점, 인식은 평균 41.02점, 수행자신감은 평균 39.61점이었으며 TV와 인터넷 매체를 통해 환자안전사고에 노출된 정도는 각 1.25점과 1.35점으로 나타났다. 환자안전 지식은 연령, 학년, 환자안전 교육 경험에 따라 통계적으로 유의한 차이를 보였으며, 환자안전 인식은 전공만족도에 따라, 환자안전 수행자신감은 학년, 환자안전 교육 경험, 전공만족도에 따라 통계적으로 유의한 차이를 보였다. TV를 통한 환자안전사고 정보매체의 노출 정도는 지식(r=.32, p<.000), 수행자신감(r=.21, p<.000)과, 인터넷을 통한 정보매체의 노출 정도는 지식(r=.34, p<.000), 인식(r=.12, p=.028), 수행자신감(r=.24, p<.000)과 유의한 순상관관계를 보였다. 본 연구 결과를 바탕으로 임상실습 전부터 학생들에게 환자안전에 대한 체계적인 교육을 제공할 뿐 아니라 정보매체를 통해 전달되는 환자안전사고와 같은 이슈에 비판적 사고를 가지고 접근할 수 있는 환자안전 교육프로그램을 개발, 적용하고 그 효과를 평가하는 추후 연구를 제언하는 바이다.

• 산업공학
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• 제13권1호
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• pp.17-28
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• 2000

As knowledge has been recognized as a new resource in gaining organizational competitiveness, Knowledge Management (KM) is suggested as a method to manage and apply knowledge for business management. KM research, however, has focused on identifying, storing, and distributing the transaction-related knowledge in an organization. There has been little research on applying the knowledge to decision-making or strategy development that is the main task of business management. The application of knowledge to decision making has higher impact on organizational performance rather than just the knowledge management for process transaction. In this research, we suggest System Dynamics (SD) for the knowledge-based decision-making. Based on the modeling method of SD, we can translate partial and implicit knowledge resident in individual's mental model into organized explicit knowledge. The simulation test of the organized knowledge model enables decision-makers to understand the structure of the target problem and its behavior mechanism, which facilitates effective decision-making. We will compare the proposed method and other KM methods and discuss this research based on the application case to a real telecommunication company.

• 한국간호교육학회지
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• 제22권3호
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• pp.264-273
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• 2016

Purpose: The purpose of this study was to investigate humanistic knowledge, emotional intelligence, and communication skills among nurses and to identify factors influencing the communication skills of nurses in five hospitals. Methods: Data were collected from 248 nurses in hospitals from August 25 to September 9, 2015. Data were analyzed with descriptive statistics, t-test, ANOVA, Pearson's correlations and enter method regression analysis using the SPSS/Win 22.0 program. Results: There were significant differences in humanistic knowledge according to religion, education, work department, number of night duty, pay level satisfaction, job satisfaction, and job performance. There were significant differences in emotional intelligence according to all general characteristics. There were significant differences in communication skills according to education, position, number of night duty, and job performance. Communication skills showed positive correlations with humanistic knowledge and emotional intelligence. Emotional intelligence correlated positively with humanistic knowledge. Emotional intelligence was a significant predictor and accounted for 32% of variance in the communication skills. Conclusion: To strengthen communication skills, programs need to be complemented in order to promote humanistic knowledge and emotional intelligence for nurses.

• 지식경영연구
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• 제21권1호
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• pp.117-136
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• 2020

In the studies for the recommender systems which solve the information overload problem of users, the use of transactional data has been continuously tried. Especially, because the firms can easily obtain transactional data along with the development of IoT technologies, transaction-based recommender systems are recently used in various areas. However, the use of transactional data has limitations that it is hard to reflect domain knowledge and they do not directly show user preferences for individual items. Therefore, in this study, we propose a method applying the word embedding in the transaction-based recommender system to reflect preference differences among users and domain knowledge. Our approach is based on SAR, which shows high performance in the recommender systems, and we improved its components by using FastText, one of the word embedding techniques. Experimental results show that the reflection of domain knowledge and preference difference has a significant effect on the performance of recommender systems. Therefore, we expect our study to contribute to the improvement of the transaction-based recommender systems and to suggest the expansion of data used in the recommender system.

• Journal of Information Technology Applications and Management
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• 제16권3호
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• pp.113-124
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• 2009

How can action learning program promote organizational learning performance and especially project based team performance in Web-based small and medium-sized enterprises (SMEs)? This article discusses the association between project based team in action learning program and the performance of Web-based SME to be learning organization. In the case of ALPACO, action learning program that promote employee communication behavior, knowledge sharing, and organizational learning are found to be positively associated with the project based team performance and organizational learning, The results indicate that action learning program in SMEs indeed associated with greater knowledge sharing, learning communication skills and changing organizational culture. Learning organization can be, in turn, positively developed by project based team through action learning program for creating competitive advantage, Also, this study offers further support for the practical perspective on learning organization performance. The evidence from this case study suggests that the project team in action learning program playa significant role in team performance and the development of learning organization of the firm. Therefore, in the future, Web-based SMEs should consider making investments in action learning program that encourage project team's effective management in decision making, knowledge sharing, and organizational learning.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제17권11호
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• pp.2903-2923
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• 2023

Knowledge recommendation is a type of recommendation system that recommends knowledge content to users in order to satisfy their needs. Although using graph neural networks to extract data features is an effective method for solving the recommendation problem, there is information loss when modeling real-world problems because an edge in a graph structure can only be associated with two nodes. Because one super-edge in the hypergraph structure can be connected with several nodes and the effectiveness of knowledge graph for knowledge expression, a dual-channel hypergraph convolutional neural network model (DCHC) based on hypergraph structure and knowledge graph is proposed. The model divides user data and knowledge data into user subhypergraph and knowledge subhypergraph, respectively, and extracts user data features by dual-channel hypergraph convolution and knowledge data features by combining with knowledge graph technology, and finally generates recommendation results based on the obtained user embedding and knowledge embedding. The performance of DCHC model is higher than the comparative model under AUC and F1 evaluation indicators, comparative experiments with the baseline also demonstrate the validity of DCHC model.