• English Language & Literature Teaching
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• v.9 no.2
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• pp.213-241
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• 2003

As an attempt to characterize the English test section of CSAT (College Scholastic Ability Test) and to get some suggestions, this study raised the research questions, as 'What are the main factors that affect students' English test scores in CSAT, and how big influences do they have?' It has been hypothesized that among main factors are the L1 competence, represented by the Korean test scores in CSAT, background knowledge or intelligence, represented by the "total" scores in CSAT, and the two types of L2 knowledge (vocabulary and grammar on one hand and prosody m the other hand), measured by the test devised specially for this study. The individual effect of the L2 vocabulary and grammar (one kind of L2 knowledge) was 70%, that of background knowledge or intelligence 61%, that of the L1 competence 50%, and that of the L2 prosody knowledge (the other kind of L2 knowledge) 32%. According to the stepwise regression, the whole effect of these four factors was 74%. The findings suggest that first, although CSAT is based on the top-down model of comprehension, the bottom-up model of learning should be more emphasized in our English class. Also, since background knowledge or intelligence is the second most influential factor, the top-down model of learning that helps students learn to understand by activating their various schemata must also be very effective.

• Asia pacific journal of information systems
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• v.7 no.1
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• pp.85-97
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• 1997

This paper is concerned with knowledge representation schemes best suited for human resource management (HRM) problem domains including human resource planing, selection, placement, compensations, performance evaluation, training and labor-management relations. In order to suggest the scheme we consider two research gods. First, we evaluate and prioritize. The knowledge representation techniques of frames rules, semantic nets and predicate logic that hove been recommended to managerial domains. The combined Analytic Hierarchy Process technique is employed to combine individual judgments effectively between two different expert groups. As a result if we are to select a single knowledge representation technique, a frame representation is best for most HRM domains and to combine frames with others is another choice. Second as a strategy for knowledge representation schemes we show some examples for each damn in terms of labeled semantic nets and two types of rules derived from the semantic nets. We propose nine knowledge components as ontologies. The labeled semantic nets con provide some benefits compared with conventional one. More clearly definea node rode information maces it easy to find the ac information. In the rule sets, the variables are the node of the semantic nets. The consistency of rules is validated by the relationship of the knowledge components.

• Knowledge Management Research
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• v.21 no.1
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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 the Korean Society for information Management
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• v.24 no.1 s.63
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• pp.121-145
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• 2007

This study aims to identify copyright issues regarding the knowledge content currently circulated through knowledge exchange markets in the Republic of Korea. The content providers of knowledge exchange markets comprise government & public institutions, full-text database companies, publishers and individuals. It is worth noting that commercial trade of copyrighted content or material among academic journals, database companies and knowledge exchange markets essentially exclude individual authors who are the actual copyright holders. In principle, the original author owns the copyright whether it has an explicit notice or not. Unless the author/owner officially agrees to transfer the copyright including the right for so-called "derivative works", content-making based or derived from the copyrighted material, digitalization of the copyrighted work as well as its registration on full-text database and circulation through knowledge markets are illegal.

• International Journal of Contents
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• v.12 no.4
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• pp.31-44
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• 2016

Knowledge creation and management are regarded as critical success factors for an organization's survival in the knowledge era. As a process of knowledge acquisition and sharing, organizational learning mechanisms (OLMs) guide the learning function of organizations represented by its different learning activities. We examined a variety of learning processes that constitute OLMs. In this study, we aimed to capture the process and framework of OLMs and knowledge sharing and acquisition. Factors facilitating OLMs were investigated at three levels: individual, group, and organizational. The concept of an OLM has received some attention in the field of organizational learning, however, the relationship among the factors generating OLMs has not been empirically tested. As part of the ongoing discussion, we attempted a systemic approach for OLMs. OLMs can be represented by factors that are inherent to the organization's system; therefore, prior to empirically testing the OLM generating factor(s), evaluation of its organizational integration is required to determine effective treatment of each factor. Thus, we developed a framework to manage knowledge and proposed a method to numerically evaluate factors influencing the OLMs. Specifically, composite importance (CI) of the Decision-Making Trial and Evaluation Laboratory (DEMATEL) method was applied to explore the interaction effect of these factors based on systemic approach. The augmented matrix thus generated is expected to serve as a stochastic matrix of an absorbing Markov chain.

• Korean Journal of Adult Nursing
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• v.28 no.1
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• pp.83-94
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• 2016

Purpose: The purpose of this study was to explore how knowledge management of hospital and nurses' beliefs and competences on evidence-based practice can affect evidence-based decision making. Methods: In this descriptive study, a total of 184 nurses who were working in the five general hospitals participated. The data were collected through a self-administered questionnaire in September, 2014. Data were analyzed using descriptive statistics, independent t-test, one-way ANOVA, Pearson correlation coefficient, and step-wise multiple regression with SPSS/WIN Statistics 21.0 program. Results: Evidence-based decision making was correlated with EBP beliefs (r=.55, p<.001), EBP competence (r=.57, p<.001), and knowledge management (r=.50, p<.001). Hierarchical regression analysis showed that EBP beliefs (${\beta}=.18$, p=.005), EBP competence (${\beta}=.37$, p<.001), organizational knowledge management (${\beta}=.27$, p<.001) explained 48.6% of evidence based decision making (p<.001). Conclusion: The study results indicated that evidence-based practice competences, organizational knowledge management, and evidence-based practice beliefs were important factors on evidence-based decision making. In order to improve evidence-based practice among nurses through organizational knowledge management, EBP beliefs and competence at individual level need to be considered and incorporated into any systemic training of EBP.

• Hwankyungkyoyuk
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• v.20 no.1
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• pp.62-72
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• 2007

In spite of the perceived importance of sustainable development in society, we still fails to reflect consistently our best understandings about the sustainable development and education for sustainable development. The purpose of this study is to inquire into the orientation of education for sustainable development in the 21st Century knowledge-based society. The results of this study can be summarized as follows. First, it is necessary to provide newly defined sustainable development which enables us to transform unsustainable way of life into environmentally sound and sustainable development. Education for sustainable development is defined as a basic education that have a mature understanding among the human, nature and wisdom of life. Second, we should emphasis on a system thinking, basic communication in order to encourage education for sustainable development as a learning strategy. Third, we should suggest both individual and community learning education for sustainable development. Finally, we develope knowledge system of sustainable development in accordance with the theories of knowledge management. In conclusion, it is necessary to approach education for sustainable development in the context of the knowledge-based society and the information age. It enables us enhance a new awareness and attitudes towards sustainable development. Furthermore, it is expected to develop an education program for the sustainable development of understanding.

• Journal of Technology Innovation
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• v.11 no.1
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• pp.125-145
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• 2003

In the knowledge-based economy, the accumulation of technological knowledge is undoubtedly the core competency to reinforce the competitiveness of individual firms and to raise the innovation capability of social and economic systems. Thus far, however, only single or fragmentary indicators, such as R&D expenditure, R&D stock, the number of researchers and the number of R&D employees have been adopted to measure the amount of technological knowledge. In this research, we suggest an approach for aggregating and structuring respective indicators. Applying correlation and factor analysis, we examine the relationship among nine conventional proxy measures for technological knowledge and present a new approach for gauging an aggregated measure.

• Journal of the Korean Operations Research and Management Science Society
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• v.23 no.2
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• pp.157-185
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• 1998

One of the essential issues in model systems is how to represent and manipulate mathematical modeling knowledge. As the bases of integrated modeling environments, current modeling frameworks have limitations: lack of facility to coordinate different users perpectives and lack of mechanism to reuse modeling knowledge. In this paper, multi-facetted modeling approach is proposed as a basis for the development of integrated modeling environment which provides facilities for (1) independent management of modeling knowledge from individual models； (2) object-oriented conceptual blackboard concept； (3) multi-facetted modeling； and (4) declarative representation of mathematical knowledge. The proposed multi-facetted approach is illustrated using multicommodity transportation models.

• Knowledge Management Research
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• v.18 no.4
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• pp.213-235
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• 2017

In the rapidly changing business and economic environment, environment-equipped appropriate capacities should be used to adapt to the changing environment and the smart environment. First of all, it is important for the company to understand what kind of acceptance attitude it shows according to the consumers' tendency toward the mobile convenient payment system that users are increasing and deal with it accordingly. In order to analyze the market according to the individual personality factors of consumers, a model based on the integrated technology(UTAUT) and the regulatory focus suitable for the mobile environment was constructed and analyzed with the structural equation through PLS. As a result of analysis, it was found that neuroticism, openness to experience, and conscientiousness among consumer personality factors had a significant influence on accommodating the mobile convenient payment system according to the tendency of promotional focus. This study provides a direction for establishing a mobile convenient payment system for smart environment through data analysis of the propensity and personality of consumers from the viewpoint of knowledge management.