• Journal of The Korean Association of Information Education
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• v.14 no.2
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• pp.241-251
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• 2010

In knowledge-based society, various forms of visible and invisible works are produced and published. As production and distribution of those works are increased, importance and value of copyright are gradually emerged. In the light of importance, students must learn and understand the concept and the right use of copyright as early as possible. Scales that students experience in the introduction stage of the class take the role of Advance Organizer. Through these scales, students can combine concept of copyright into their existing recognition structure and are interested in study contents. According to test results, it is concluded that the proposed system is very useful to enhance copyright consciousness for students.

• The Journal of the Korea Contents Association
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• v.18 no.2
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• pp.240-247
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• 2018

The purpose of this study was to identify the completion and related factors on Advance Directives (AD) in olde adults. A cross-sectional descriptive study design was used. Participants were 196 old adults, 65 and over aged in D metropolitan city. Collected data were analyzed using descriptive statistics, ${\chi}^2-test$, t-test, and logistic regression with SPSS 22.0 program. The rate of completion intention toward AD was 58.2% in the participants. There were different age, Living alone, subjective health status, awareness toward AD, and negative attitude toward death by completion intention toward AD. In the regression analysis results, the predictors of completion intention toward AD was awareness toward AD in old adults. The findings of the study reveal that positive awareness toward AD can predict completion of AD of healthy old adults in community.

• Journal of Hospice and Palliative Care
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• v.22 no.3
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• pp.134-143
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• 2019

Purpose: This methodological study was conducted to test the reliability and validity of an instrument that measures attitudes of advance directives (ADs) among nurses. Methods: 1) Sixteen items related to attitudes in the English version of the Knowledge, Attitudinal, and Experiential Survey on Advance Directives (KAESAD) were forward/backward translated into Korean. 2) The content was validated by an expert panel (three nursing professors and eight hospice nursing specialists). 3) The preliminary 12 items were selected as a tool to assess the Korean version of Nurses' Attitudes towards Advance Directives (NAAD-K). 4) The instrument was validated by a survey (n=216). 5) It was confirmed to use the 12 items for the final version of the instrument. Results: NAAD-K was shown to be valid in terms of factors, items and content. The three factors extracted from the factor analysis were named as follows: Caring for patients with an AD (factor 1), nurses' role in informing patients (factor 2) and patient right (factor 3). The three factors explained total variance 57.796%. Factor loadings of the 12 items ranged from 0.47 to 0.93. For the 12 items, Cronbach's alpha was 0.81, and Guttman split-half coefficient was 0.78. Conclusion: This instrument was identified to be applicable with satisfactory reliability and validity for further use in measuring nurses' attitudes towards ADs in hospice and palliative care.

• Asia pacific journal of information systems
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• v.18 no.4
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• pp.57-81
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• 2008

Knowledge is an essential strategic weapon for sustaining competitive advantage and is the key determinant for organizational growth. When knowledge is shared and disseminated throughout the organization, it increases an organization's value by providing the ability to respond to new and unusual situations. The growing importance of knowledge as a critical resource has forced executives to pay attention to their organizational knowledge. Organizations are increasingly undertaking knowledge management initiatives and making significant investments. Knowledge sourcing is considered as the first important step in effective knowledge management. Most firms continue to make an effort to realize the benefits of knowledge management by using various knowledge sources effectively. Appropriate knowledge sourcing strategies enable organizations to create, acquire, and access knowledge in a timely manner by reducing search and transfer costs, which result in better firm performance. In response, the knowledge management literature has devoted substantial attention to the analysis of knowledge sourcing strategies. Many studies have categorized knowledge sourcing strategies into intemal- and external-oriented. Internal-oriented sourcing strategy attempts to increase firm performance by integrating knowledge within the boundary of the firm. On the contrary, external-oriented strategy attempts to bring knowledge in from outside sources via either acquisition or imitation, and then to transfer that knowledge across to the organization. However, the extant literature on knowledge sourcing strategies focuses primarily on large organizations. Although many studies have clearly highlighted major differences between large and small firms and the need to adopt different strategies for different firm sizes, scant attention has been given to analyzing how knowledge sourcing strategies affect firm performance in small firms and what are the differences between small and large firms in the patterns of knowledge sourcing strategies adoption. This study attempts to advance the current literature by examining the impact of knowledge sourcing strategies on small firm performance from a holistic perspective. By drawing on knowledge based theory from organization science and complementarity theory from the economics literature, this paper is motivated by the following questions: (1) what are the adoption patterns of different knowledge sourcing strategies in small firms (i,e., what sourcing strategies should be adopted and which sourcing strategies work well together in small firms)?; and (2) what are the performance implications of these adoption patterns? In order to answer the questions, this study developed three hypotheses. First hypothesis based on knowledge based theory is that internal-oriented knowledge sourcing is positively associated with small firm performance. Second hypothesis developed on the basis of knowledge based theory is that external-oriented knowledge sourcing is positively associated with small firm performance. The third one based on complementarity theory is that pursuing both internal- and external-oriented knowledge sourcing simultaneously is negatively or less positively associated with small firm performance. As a sampling frame, 700 firms were identified from the Annual Corporation Report in Korea. Survey questionnaires were mailed to owners or executives who were most erudite about the firm s knowledge sourcing strategies and performance. A total of 188 companies replied, yielding a response rate of 26.8%. Due to incomplete data, 12 responses were eliminated, leaving 176 responses for the final analysis. Since all independent variables were measured using continuous variables, supermodularity function was used to test the hypotheses based on the cross partial derivative of payoff function. The results indicated no significant impact of internal-oriented sourcing strategies while positive impact of external-oriented sourcing strategy on small firm performance. This intriguing result could be explained on the basis of various resource and capital constraints of small firms. Small firms typically have restricted financial and human resources. They do not have enough assets to always develop knowledge internally. Another possible explanation is competency traps or core rigidities. Building up a knowledge base based on internal knowledge creates core competences, but at the same time, excessive internal focused knowledge exploration leads to behaviors blind to other knowledge. Interestingly, this study found that Internal- and external-oriented knowledge sourcing strategies had a substitutive relationship, which was inconsistent with previous studies that suggested complementary relationship between them. This result might be explained using organizational identification theory. Internal organizational members may perceive external knowledge as a threat, and tend to ignore knowledge from external sources because they prefer to maintain their own knowledge, legitimacy, and homogeneous attitudes. Therefore, integrating knowledge from internal and external sources might not be effective, resulting in failure of improvements of firm performance. Another possible explanation is small firms resource and capital constraints and lack of management expertise and absorptive capacity. Although the integration of different knowledge sources is critical, high levels of knowledge sourcing in many areas are quite expensive and so are often unrealistic for small enterprises. This study provides several implications for research as well as practice. First this study extends the existing knowledge by examining the substitutability (and complementarity) of knowledge sourcing strategies. Most prior studies have tended to investigate the independent effects of these strategies on performance without considering their combined impacts. Furthermore, this study tests complementarity based on the productivity approach that has been considered as a definitive test method for complementarity. Second, this study sheds new light on knowledge management research by identifying the relationship between knowledge sourcing strategies and small firm performance. Most current literature has insisted complementary relationship between knowledge sourcing strategies on the basis of data from large firms. Contrary to the conventional wisdom, this study identifies substitutive relationship between knowledge sourcing strategies using data from small firms. Third, implications for practice highlight that managers of small firms should focus on knowledge sourcing from external-oriented strategies. Moreover, adoption of both sourcing strategies simultaneousiy impedes small firm performance.

• Asian Pacific Journal of Cancer Prevention
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• v.13 no.4
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• pp.1687-1692
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• 2012

Background: Few studies have examined theoretically informed constructs related to hepatitis B (HBV) testing, and comparisons across studies are challenging due to lack of uniformity in constructs assessed. The present analysis examined relationships among Health Behavior Framework factors across four Asian American groups to advance the development of theory-based interventions for HBV testing in at-risk populations. Methods: Data were collected from 2007-2010 as part of baseline surveys during four intervention trials promoting HBV testing among Vietnamese-, Hmong-, Korean- and Cambodian-Americans (n = 1,735). Health Behavior Framework constructs assessed included: awareness of HBV, knowledge of transmission routes, perceived susceptibility, perceived severity, doctor recommendation, stigma of HBV infection, and perceived efficacy of testing. Within each group we assessed associations between our intermediate outcome of knowledge of HBV transmission and other constructs, to assess the concurrent validity of our model and instruments. Results: While the absolute levels for Health Behavior Framework factors varied across groups, relationships between knowledge and other factors were generally consistent. This suggests similarities rather than differences with respect to posited drivers of HBV-related behavior. Discussion: Our findings indicate that Health Behavior Framework constructs are applicable to diverse ethnic groups and provide preliminary evidence for the construct validity of the Health Behavior Framework.

• KIISE Transactions on Computing Practices
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• v.23 no.1
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• pp.1-12
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• 2017

Preventive maintenance is required for best performance of facilities in large scale industry. Ultimately, the efficiency of production is maximized by preventing the failure of facilities in advance. Typically, regular maintenance is conducted manually; however, it is hard to prevent repeated failures. Also, since measures to prevent failure depend on proactive problem-solving by the facility expert, they have limitations when the expert is absent or diagnosis error is made by an unskilled expert. Alarm system is used to aid manual facility diagnosis and early detection. However, it is not efficient in practice, since it is designed to simply collect information and is activated even with small problems. In this study, we designed and developed an automated preventive maintenance system based on expert's experience in detecting failure, determining the cause, and predicting future system failure. We also discussed the system structure designed to reuse the expert's knowledge and its applications.

• Journal of the Korean Geographical Society
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• v.42 no.1 s.118
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• pp.96-120
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• 2007

The purpose of this study is to look into practical knowledge of geography teacher that lead the teacher's conduct in performance assessment situation. In Classroom all activity of teachers is their unique creature and the behavior which express teacher's knowledge and competency as expert. Practical knowledge can be seen as a system of understanding that guides the teacher s decision, which involves the construction of contents to teach, methods of instruction, resources to use etc. Therefore if we fully read the teacher's instruction, we have to understand the practical knowledge of teacher. As an ordinary activity of teaming and teaching, performance assessment is conducted on active learning and teaching situation and has intention to advance learning. Thus All evaluating behavior conducted by teacher can be understood through the practical knowledge of teacher. For this purpose a series of performance assessment scenes conducted by teacher were selected observed and captured the imagery, principles and rules of practical knowledge through the qualitative research method. The result supposed that practical knowledge influence the whole process of geography teacher's performance assessment activity.

• Journal of Intelligence and Information Systems
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• v.25 no.1
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• pp.43-61
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• 2019

Development of technologies in artificial intelligence has been rapidly increasing with the Fourth Industrial Revolution, and researches related to AI have been actively conducted in a variety of fields such as autonomous vehicles, natural language processing, and robotics. These researches have been focused on solving cognitive problems such as learning and problem solving related to human intelligence from the 1950s. The field of artificial intelligence has achieved more technological advance than ever, due to recent interest in technology and research on various algorithms. The knowledge-based system is a sub-domain of artificial intelligence, and it aims to enable artificial intelligence agents to make decisions by using machine-readable and processible knowledge constructed from complex and informal human knowledge and rules in various fields. A knowledge base is used to optimize information collection, organization, and retrieval, and recently it is used with statistical artificial intelligence such as machine learning. Recently, the purpose of the knowledge base is to express, publish, and share knowledge on the web by describing and connecting web resources such as pages and data. These knowledge bases are used for intelligent processing in various fields of artificial intelligence such as question answering system of the smart speaker. However, building a useful knowledge base is a time-consuming task and still requires a lot of effort of the experts. In recent years, many kinds of research and technologies of knowledge based artificial intelligence use DBpedia that is one of the biggest knowledge base aiming to extract structured content from the various information of Wikipedia. DBpedia contains various information extracted from Wikipedia such as a title, categories, and links, but the most useful knowledge is from infobox of Wikipedia that presents a summary of some unifying aspect created by users. These knowledge are created by the mapping rule between infobox structures and DBpedia ontology schema defined in DBpedia Extraction Framework. In this way, DBpedia can expect high reliability in terms of accuracy of knowledge by using the method of generating knowledge from semi-structured infobox data created by users. However, since only about 50% of all wiki pages contain infobox in Korean Wikipedia, DBpedia has limitations in term of knowledge scalability. This paper proposes a method to extract knowledge from text documents according to the ontology schema using machine learning. In order to demonstrate the appropriateness of this method, we explain a knowledge extraction model according to the DBpedia ontology schema by learning Wikipedia infoboxes. Our knowledge extraction model consists of three steps, document classification as ontology classes, proper sentence classification to extract triples, and value selection and transformation into RDF triple structure. The structure of Wikipedia infobox are defined as infobox templates that provide standardized information across related articles, and DBpedia ontology schema can be mapped these infobox templates. Based on these mapping relations, we classify the input document according to infobox categories which means ontology classes. After determining the classification of the input document, we classify the appropriate sentence according to attributes belonging to the classification. Finally, we extract knowledge from sentences that are classified as appropriate, and we convert knowledge into a form of triples. In order to train models, we generated training data set from Wikipedia dump using a method to add BIO tags to sentences, so we trained about 200 classes and about 2,500 relations for extracting knowledge. Furthermore, we evaluated comparative experiments of CRF and Bi-LSTM-CRF for the knowledge extraction process. Through this proposed process, it is possible to utilize structured knowledge by extracting knowledge according to the ontology schema from text documents. In addition, this methodology can significantly reduce the effort of the experts to construct instances according to the ontology schema.

• Journal of the Korean Society of Systems Engineering
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• v.14 no.1
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• pp.83-88
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• 2018

Engineering is a sector with more than three times the industrial effectiveness of manufacturing. In the domestic engineering life cycle, the Operations & Maintenance (O&M) phase is a relatively high level of technology. Based on accumulated knowledge of O&M phase, it is necessary to advance operating technology and expand overseas O&M market expenditure. This study is the early stage of knowledge-based power plant O&M service framework reference model. In this study, we propose a conceptual model of architecture framework for power plant O&M. We survey the architecture framework and reference model and propose conceptual model of architecture framework for power plant O&M. The conceptual model of architecture framework for power plant O&M consists of stakeholder, O&M scenario, O&M technology. In particular, the O&M technology is defined as the fourth industrial revolution intelligence information technology. We defined a meta model from the conceptual model to define the power plant O&M architecture framework. In the future, we intend to development an architecture framework from the conceptual model and meta model.

• Hwankyungkyoyuk
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• v.24 no.2
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• pp.21-34
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• 2011

Recently, project activity on environmental education has been overwhelmingly presented that is considered as a key learning & teaching strategy in Korea. This Study finds that Environmental project activity requires consideration of project-based Learning for sustainable development. The purpose of this study is to conduct project-based learning for eco-campus which is focused on sustainable development and to find out the learner's understanding sustainable development. The results of this study can be summarized as follows. First, project-based learning for sustainable development is concerned about enhancing learner's understanding sustainable development. It can be emphasized a viewpoint of sustainable way, a way of educational approach, and a possibility of expanding learner's experience in dealing with sustainable development. Second, this study showed also a results of application about project-based learning for eco-campus. Twenty three pre-service teachers conducted six different eco-campus projects. It is considered to make the student be able to catch up core knowledge and apply it during the project activity. In conclusion, this research asserts that project-based learning on sustainable development is needed to make students see the knowledge and value of sustainable development. It is considered to advance education for sustainable development as a new teaching & learning strategy.