• Informatization Policy
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• v.20 no.3
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• pp.18-42
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• 2013

Policy-related knowledge refers to a body of knowledge that bureaucrats and policy makers use when making decisions. In this study we conceptualize policy knowledge as intellectual infrastructure which helps to maximize efficiency with the viewpoint of policy ecosystem. The policy knowledge ecosystem covers people and organizations that participate in the production, distribution, and consumption process of the policy-related knowledge plus interactions between participants. We build the conceptual policy ecosystem model of comparative analysis, and analyze characters of e-government policy between Korea and U.S.A. The results suggest theoretical and policy implications focusing on the relevant policy knowledge is crucial for the sustainable development and growth.

• Structural Engineering and Mechanics
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• v.37 no.4
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• pp.427-442
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• 2011

In fatigue life design of mechanical components, uncertainties arising from materials and manufacturing processes should be taken into account for ensuring reliability. A common practice is to apply a safety factor in conjunction with a physics model for evaluating the lifecycle, which most likely relies on the designer's experience. Due to conservative design, predictions are often in disagreement with field observations, which makes it difficult to schedule maintenance. In this paper, the Bayesian technique, which incorporates the field failure data into prior knowledge, is used to obtain a more dependable prediction of fatigue life. The effects of prior knowledge, noise in data, and bias in measurements on the distribution of fatigue life are discussed in detail. By assuming a distribution type of fatigue life, its parameters are identified first, followed by estimating the distribution of fatigue life, which represents the degree of belief of the fatigue life conditional to the observed data. As more data are provided, the values will be updated to reduce the credible interval. The results can be used in various needs such as a risk analysis, reliability based design optimization, maintenance scheduling, or validation of reliability analysis codes. In order to obtain the posterior distribution, the Markov Chain Monte Carlo technique is employed, which is a modern statistical computational method which effectively draws the samples of the given distribution. Field data of turbine components are exploited to illustrate our approach, which counts as a regular inspection of the number of failed blades in a turbine disk.

• The Journal of Asian Finance, Economics and Business
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• v.8 no.9
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• pp.249-260
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• 2021

This research explores the effects of intellectual capital on knowledge management processes (creation of information, knowledge sharing, and use of knowledge) and innovation performance. The data was gathered from 224 fashion accessories in Thailand using a questionnaire. The population was collected on December 16, 2019 (https:/www.ditp.go.th) from a list database of the Department of International Trade Promotion, Ministry of Commerce of Thailand (2019). A questionnaire mail survey technique was used to collect data. Executives or managers were the key participants in this study. The statistical technique used to analyze is the ordinary least square regression. The findings show that intellectual capital has a significant positive effect on information management systems. Likewise, information management techniques have a significant positive effect on innovation performance. Moreover, increasing the use of information tends to make staff willing to use the knowledge to improve the quality and quantity of the service. This tendency contributes to productivity gain. Through the interaction of processes of information use, self-reflection, and input from customers, employees tend to increase the production of knowledge that eventually develops the results of the innovation. Hence, organizations should value knowledge management process elements to improve efficiency, and thus innovation.

• Journal of Preventive Medicine and Public Health
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• v.21 no.2 s.24
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• pp.251-266
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• 1988

This study was planned in order to investigate coal miners' recognition and attitude toward pneumoconiosis, and its realtionship with related behavior for prevention of pneumoconiosis. Study object was coal miners in Kangneung area, sampled by multistage random proportional sampling. Sample size was 13% of total coal miners in Kangneung area. The results were devided into three parts: (1) descriptive results presented percent distribution, (2) reclassification of knowledge, experiences, and attitude by factor analysis, (3) prediction of health behavior for prevention of pneumoconiosis by discriminant analysis. Knowledge, experiences, and attitude toward pneumoconiosis were classified into nine factors. Knowledge about pneumoconiosis were broken down to two factors and attitude to four factors, and valence, perceived severity were classified into each one factor. According to demographic, socioeconomic characteristics, and factors of knowledge, experiences, attitude about pneumoconiosis, about 62% of behavior of wearing respiratory protector was correctly discriminated. And by the same methods, about 81% of behavior of hospital visit at respiratory symptoms; cough, sputum, chest pain etc. was discriminated correctly.

• The Journal of Asian Finance, Economics and Business
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• v.8 no.12
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• pp.421-429
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• 2021

The aim of the study is to explore the impact of intellectual capital and knowledge management on public sector innovation and also role knowledge management as the mediator variable. The study applied a descriptive quantitative method and by using a simple random sampling approach to 200 civil workers in Indonesian government entities. The data was gathered using an online questionnaire technique and analyzed using the AMOS program for structural equation modeling (SEM). According to the findings of the research, intellectual capital has a substantial influence on knowledge management. As a result, intellectual capital and knowledge management have a significant impact on public sector innovation, with knowledge management serving as a mediator between intellectual capital and public sector innovation. Besides that, the findings of this study suggest that organizations can increase innovation by choosing the right intellectual capital and utilizing good knowledge management. This work addresses a vacuum in the literature on applying knowledge management in the public sector, and so adds substantially to the theoretical progress of the area. Moreover, this is the first study to test the mediating role of knowledge management in the relationship between intellectual capital and innovation in the public sector of a developed country.

• Journal of the Korean Society of School Health
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• v.28 no.3
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• pp.158-167
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• 2015

Purpose: This study compares the differences in health-related factors, nutrition knowledge and dietary habits between nursing and allied health college students. Methods: Nursing students(n=499) and allied health college students(n=402) were surveyed on their health-related factors, nutrition knowledge and dietary habits. Data were collected from two universities in A city, Korea. Data were analyzed through descriptive statistics, $x^2$ distribution and t-test, $x^2$-test and Pearson correlation coefficient using SPSS 21.0. Results: The level of nutrition knowledge was higher among nursing students than students majoring in other fields. Scores regarding dietary habits were not significantly different between nursing students and other students. Conclusion: Nutritional education for college students is needed in order to improve their health. Nutritional education programs should be tailored to meet various needs of these students.

• The Journal of Asian Finance, Economics and Business
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• v.5 no.4
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• pp.187-199
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• 2018

This study examined the effects of startup firm's knowledge assets on the effectiveness of their sales strategies, efficiency of sales activities, and management performance, after categorizing these assets into customer knowledge assets and technology knowledge assets. Furthermore, the moderating effects of promotion focus by CEOs and sales managers of startup firms were analyzed. For the analysis, dyadic questionnaire surveys were conducted targeting the CEOs and sales managers of startup firms established at the Gyeongnam Technopark and the KAIST Technology Business Incubation Center in Korea. Hypotheses were verified through structural equation modeling, and moderating effects were identified through ANOVA. CEO's customer knowledge asset strengthened their effectiveness of sales strategies, and sales manager's technology knowledge asset strengthened the efficiency of their sales activities. Also, CEO's effectiveness of sales strategies and sales manager's efficiency of sales activities have been found to enhance startup firm's management performance. Meanwhile, the moderating effect of promotion focus strengthened CEO's effectiveness of sales strategies through CEO's customer knowledge asset and interaction as CEO's promotion focus level increased, but promotion focus of sales managers did not have any significant interaction effect. This study provides implications by offering empirical evidence on startup firms with regard to knowledge assets.

• Knowledge Management Research
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• v.10 no.2
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• pp.1-14
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• 2009

This study has investigated the effects of promoting and inhibiting factors on information sharing between buyers and sellers in Korean distribution industry. Based on intensive literature reviews, eight promoting factors(satisfaction, relational norms, trust, commitment, fairness, formalization, participation, transaction specific investment) and five inhibiting factors(opportunism, environmental uncertainty, conflict, concentration, monitoring) were included in the research model. For the purpose of empirical testing, 320 respondents of retailers in Korea were surveyed and the analysis utilizing structural equation model indicated that satisfaction, relational norms, trust, commitment, fairness, formalization, and participation had positive effects on information sharing. And concentration and monitoring had negative effects on it. However transaction specific investment, opportunism, conflict, and environmental uncertainty had no significant effects.

• The Korea Journal of Herbology
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• v.34 no.6
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• pp.33-44
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• 2019

Objectives : This study aims to record and conserve oral traditional knowledge of medicinal animals from the indigenous people living in the local communities of Songnisan National Park, Korea. Methods : Data was collected by participatory observations and in-depth interviews with semi-structured questionnaires. Quantitative comparative analyses were accomplished through data received from the following three methods: informant consensus factor (ICF), fidelity level (FL), and network analysis. Results : The investigation reveals that the indigenous people have used 49 species of medicinal animals distributed within 45 genera, belonging to 39 families with 336 different usages. According to the distribution of recorded families, the most representative families were Scolpendridae and Phasianidae, which were utilized 36 times each (10.71 % each). The category with the highest degree of consensus from informants was disorders related to the nervous system (0.97). 16 species were classified with a fidelity level of 100 %. The network analysis revealed that a lack of vigor was related to 23 species, including Agkistrodon blomhoffii, Gallus domesticus, and Canis familiaris, among the total 49 species investigated. Conclusions : This documentation can help preserve the traditional knowledge and local health traditions of Korea that are disappearing due to rapid industrialization, urbanization, and death of the elderly with traditional knowledge. Additionally, the animals investigated in this study can be developed into medicinal food and drug for treating specific health conditions through further research.

• 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.