• The Journal of Asian Finance, Economics and Business
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• v.8 no.11
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• pp.133-143
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• 2021

This study investigates the relationship between social capital and enterprise performance with knowledge sharing as the mediator. By employing the data of 677 respondents collected from delivering questionnaires to small and medium-size firms in Vietnam in 2020, this study suggests a two-step approach that combines exploration factor analysis (EFA), confirmatory factor analysis (CFA), and path analysis (SEM). The empirical findings significantly support our proposed model by demonstrating that knowledge sharing mediates the connection between all three elements of social capital and enterprise performance. At the same time, the results emphasize the importance of knowledge sharing as a major benefit of social capital and a substantial driving element of both operational and financial performance. The results show that all three social capital qualities (structural, relational, and cognitive) significantly impact both tacit and explicit knowledge sharing, while knowledge is one of the main routes connecting social capital to enterprise performance. Hence, our research model may be used in future studies to evaluate social capital, knowledge sharing, and firm performance as a new theoretical model. Our results offer a plausible explanation for how social capital improves knowledge sharing and enterprise performance.

• Journal of Digital Convergence
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• v.17 no.1
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• pp.219-227
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• 2019

The purpose of this study was to investigate the knowledge on patient safety and performance confidence for the subject of health-related major students. Participants were 349 Health-related majors. Data were analyzed using SPSS 21.0. According to the study results, correct answer rate for patients' knowledge on safety was 65.7% in average. Average point of performance confidence was $7.11{\pm}1.74$. Considering in terms of question, patient identification was high, while effective communication was shown to be low. Patient identification, communication, surgery procedure, fall, patient's safety accident report as the lower domain for patients' knowledge on safety and performance confidence had a positive correlation, while knowledge and infection management, facility environment had a negative correlation for health-related major students, development of patients' safety education program is needed to enhance importance of patients' safety before clinical practice and to allow implementation of safe clinical practice.

• Journal of Digital Convergence
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• v.11 no.1
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• pp.181-190
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• 2013

The recent advance of information and communication technologies has made the identity of public libraries ambiguous. Few literatures have dealt with a local community public library from knowledge creation perspective. In this article we extend the applicability of the concepts such as knowledge management and knowledge city to local public libraries whose major role needs to change from the traditional book rental to knowledge and social capital creating entity. Based on the concepts, we propose a framework for analyzing the public library as a center of knowledge creation. Using the framework, we analyze the Ridgewood Public Library in New Jersey to test the validity of the framework.

• Journal of Korea Port Economic Association
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• v.26 no.3
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• pp.75-91
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• 2010

The aim of this study is to analyze current level of knowledge management(KM) performance in major container terminals. To achieve this aim, the evaluation criteria and KM performance index from pervious research were adopted. and current levels of KM performance of four leading container terminal operators which is located in Busan port were measured. The results firstly showed that average of KM level of these terminal operators was 67.7. And also, from the results of data analysis, it revealed that the weak point of KM in Korean leading terminal operators is official system and programs such as incentive policies, learning programs, and IT support systems for organizational knowledge sharing and knowledge codification.

• Journal of Korea Technology Innovation Society
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• v.10 no.3
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• pp.531-554
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• 2007

This paper suggests a new model connecting various knowledge activities through classification systems such as classifications of research, technology, industry, major and job. Although research activities are linked to technology and industry areas or to education and job areas, there is no effort to link these kinds of activities. There are a few studies to link research and technology or research and education respectively. But, there have been no studies to connect technology-industry linkage and education-job linkage. This paper suggests that research area can be a basis of link between technology-industry linkage and education-job linkage. The methods building the links are not simple, but easy; 1) setting up new science/research classification system having two dimensions of research and application, 2) building electronic systems and databases allowing fields for several classification systems, and 3) making rules using multi-dimensional classification systems following the purpose of the programs. The model is designed to meet the needs of nationwide R&D and human resources policies, and for the preparation of knowledge society to grasp the relationship between sequential activities using knowledge. If we know the interactive relationships between various areas, we can trace related phenomena in different activities with restricted information.

• Proceedings of the Korean Institute Of Construction Engineering and Management
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• 2004.11a
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• pp.153-159
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• 2004

This Paper describes a Practical case study of Knowledge Management for- construction business, focusing on 1) knowledge definition as material knowledge assets and human knowledge assets. 2) adaptation of Knowledge Management to a business organization by combining with construction management process, and 3) relation between Knowledge Management and Information System, based on operating experience at a major Korean construction company, Samsung Engineering and Construction Co..

• Journal of Families and Better Life
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• v.15 no.4
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• pp.41-54
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• 1997

The purpose of this study is to analyze information search according to consumer's prior knowledge and degree of importance of products. Questionnare survey method was used in this research. The sample was taken from 548 university students in Seoul from 19th of June to 26th of June in 1997. Statistical methods used in this study were Frequency, Percentage, Regression and path Analysis. The major findings are summarized as follows; 1) The level of Consumer's prior knowledge showed somewhat middle. 2) Degree of importance of products showed in order of quality, A/S extension exchange price reliance of a manufacturing company a design etc. 3) Information search for the consumer's prior knowledge and importance showed high on the whole. The more prior knowledge consumer have the better they recognize for the importance of products. Therefore consumers are more likely to search information.

• Knowledge Management Research
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• v.9 no.3
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• pp.141-158
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• 2008

This study introduces the construct of group efficacy and combines the construct with the Adaptive Structuration Theory(AST) and user satisfaction framework. Job efficacy and IT efficacy identified as the dimensions of group efficacy are hypothesized to influence faithfulness of appropriation and consensus on appropriation. and then the user satisfaction of knowledge management systems(KMS). Data were collected through a survey of respondents who have the experience of using KMS, and analyzed by using structural equations modelling. The major findings of this study are as follows: First, job efficacy was found to have a positive influence on consensus on appropriation and user satisfaction. Second, IT efficacy was found to have a positive effect on faithfulness of appropriation and consensus on appropriation. Third, faithfulness of appropriation was found to have a positive influence on consensus on appropriation and user satisfaction. Implications of these findings are discussed for researchers and practitioners.

• The Journal of the Convergence on Culture Technology
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• v.6 no.1
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• pp.185-190
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• 2020

The programming education of non-computer major undergraduates aims to increase the their problem-solving and coding skills so that the skills can be applied to various fields and motivate them to continuously study computer or programming. However, it difficult for them to recognize the necessity of programming knowledge and to find out how it can be used in their major. Therefore, the professor needs to give students a full explanation of their roles to play. In this paper, we revisit the necessity of programming knowledge for non-computer major undergraduates by looking at the convergence cases of ICT technology and the humanities and social arts fields. And we propose an instruction direction of programming learning for them.

• Asia pacific journal of information systems
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• v.6 no.2
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• pp.77-105
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• 1996

The accuracy of knowledge is a major concern for expert system developers and users. Machine learning approaches have recently been found to be useful in knowledge acquisition for expert systems. However, the accuracy of concept acquired from machine learning could not be analyzed in most cases. In this paper we develop a comprehensive knowledge error analysis methodology for practical use of expert systems. Decision tree induction is an important type of machine learning method for business expert systems. Here we start to analyze with knowledge acquired from decision tree induction method, and extend the results to develop error analysis methodology for general machine learning methods. We give several examples and illustrations for these results. We also discuss the applicability of these results to multistrategy learning approaches.