• The Journal of Korean Institute for Practical Engineering Education
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• v.2 no.2
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• pp.105-112
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• 2010

For efficient and effective university-industry linked training programs, it is critical to design customized educational systems including various curriculums for specific needs from industries. To do that, we need to understand that the quality of collaboration between large companies and their vendors. Therefore, in this study, we provided SCQM(Supply Chain Quality Management) and QCI-SCM(Quality Collaboration Index for Supply Chain Management) to evaluate the quality levels of collaboration between large sized companies and their sub-vendors. And we tried to find the critical factors for successful SCQM and global quality management competitiveness.

• Journal of Korean Society for Quality Management
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• v.44 no.2
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• pp.297-308
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• 2016

Purpose: This paper treats a defense-supply chain quality management model for analyzing the Korea defense industry. Methods: Various literature, the quality collaboration index for supply chain management model proposed by Korean Standards Association and shared growth index presented by Korea Commission for Corporate Partnership are reviewed to develop the defense supply chain quality management index and model based on the method presented by Hafeez et al.(2006). In addition, based on the proposed model, we survey the supply chain quality management efficiency including focused group interviews in the defense industry. Results: We propose a defense-supply chain quality management index and model for analyzing the quality level between the parent companies and its partners. In addition, the results of applying the model are proposed to improve the quality of military items. Conclusion: A model is developed for improving the quality of military items. This proposed model will be adopted to enhance the quality of military items.

• Journal of Digestive Cancer Research
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• v.10 no.2
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• pp.99-106
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• 2022

Clinical research ultimately aimed to promptly diagnose and prevent diseases through precise biomarker development. Finding the optimal cut-off point of a regularly measured biomarker can help its interpretation and ultimately help in disease investigation and diagnosis, more specifically in determining the presence of diseases. Therefore, this study aimed to use the characteristics of outcome variables in clinical research to explain how to determine the optimal cutoff point. The outcome variables can be divided into dichotomous, ordinal, and survival types. The optimal cut-off point can be determined by finding points that maximize the Youden index, extended Youden index, and log-rank statistics. This study will enable clinical researchers to accurately determine the optimal cut-off points for regularly measured biomarkers, thereby enabling prompt disease diagnosis for effective treatment.

• Research in Community and Public Health Nursing
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• v.19 no.1
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• pp.13-26
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• 2008

Purpose: The purpose of this paper was to investigate community health status and related factors using community health and social indicators. Method: Data sources were reviewed and data for 10 categories, 75 indicators were collected. Community health status and health-related factors were categorized, and the means and standard deviation of individual indicators were obtained and standardized scores were calculated. In addition, through factor analysis of individual indicators by category using the scores and using the resultant factor coefficients as weights, indexes were calculated by area. Correlation and regression were analyzed. Result: Each indicator was highly correlated with each index, and the indexes were highly correlated with one another. Correlation coefficients were above 0.8 between community health index and population, education, housing, and economy, between population and education, housing and economy, between education and housing and economy, and between housing and economy, environment and industry. But multicollinearity was not found in the result. Significant factors on community health index were population, health personnel and facilities, education, housing and economy, and R-square were 92.4%. Conclusion: Health determinants such as population, health personnel and facilities, education, housing and economy could be influencing factors on community health in community level. These results showed the importance of intersectoral collaboration within a local government. Overall community health can be enhanced by intersectoral collaboration.

• Journal of the Korean Association of Geographic Information Studies
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• v.25 no.2
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• pp.59-71
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• 2022

This study considered regional differences in the university-industry collaboration of Korean universities and performed cluster analysis to identify the spatial range with high university-industry collaboration connectivity. By university establishment type, it was found that the university-industry collaboration capacity of the major national university was superior overall, especially in the technology transfer & commercialization sector and the infrastructure sector, compared to private universities and general national universities. The spatial pattern of university-industry collaboration capacity showed relatively clear differences by city and province. In terms of university-industry collaboration capacity by sector, it was confirmed that the regional gap was not large in the talent training sector and the infrastructure sector, but the regional gap was relatively large in the technology transfer & commercialization sector and the start-up sector. As a result of the cluster analysis to identify a spatial range with high connectivity in terms of similarity and spatial proximity of university-industry collaboration patterns, it is divided into 15 clusters. It is found that most of major national universities are included in one of 15 clusters where all sectors of university-industry collaboration are strong. Therefore, as a policy measure to achieve regional innovative growth through enhancing the effectiveness of university-industry collaboration, we propose the establishment of a hub & spoke network-type collaboration system in which a major national university acts as a hub and nearby local universities play a spoke role.

• Journal of Science and Technology Studies
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• v.12 no.2
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• pp.1-31
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• 2012

Rapid globalization process is applying to Science field in Korea. Until now, most researches and government's announcement used to examine the scientific level of Korea by using the number of publications in the SCI Journals. I investigate other aspects of the scientific globalization: a scientific collaboration trend, participations of foreign researchers, and the national level of collaboration networks. There are increasing patterns in collaboration and foreign researchers' participation, and the Impact Factors of the Journals were preceded by inflating trend in the participations of foreign researchers. Also, the breadth and the density are different from each science fields in the national level of collaboration networks. These findings are related to the process of globalization in the Korean science journals and the science fields.

• The Journal of the Korea institute of electronic communication sciences
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• v.7 no.6
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• pp.1353-1362
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• 2012

Many studies have demonstrated that articles from international collaborations are more cited than articles from domestic collaborations. However, difference between the citation impact of international and domestic co-authored papers is supposed to be widened due to the collaboration strategy adopted by individual institute. In short, each institute will show the significantly different citation impact between international and domestic co-authored papers. In this paper, we applied the index of Incremental Ciation Impact(ICI) to identify the different value of citation impact between international and domestic co-authored papers for research institutes of KRCF, results of which will be understood under the strategy of international research collaboration.

• Asian Journal for Public Opinion Research
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• v.2 no.1
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• pp.32-51
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• 2014

Quality of Life in Pakistan is an understudied and rather unexplored domain. With various definitions and challenges to explaining quality of life, a public opinion poll and scientific surveys have been conducted in order to find out more about the quality of life in Pakistan. Using a nationally representative sample, this paper seeks to identify quality of life measures, find results, and analyze them to see what they mean, specifically in the context of Pakistan.

• Journal of Korean Society for Quality Management
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• v.39 no.4
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• pp.464-479
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• 2011

The purpose of this study is that analyzing the causal relationship between Infra, Process and Performance of companies which are executing the Supply Chain Quality Management(SCQM) with their subcontractors and partners. Korean Standards Association(KSA) provides the Supply Chain Quality Management Model and Quality Collaboration Index for 4 years, but a few study has investigated the critical variables and their causal relationship to organizational performance. Therefore we examine the SCQM model and related index and choose the quality, human resource and risk management processes for identifying the path to organizational performance. In addition, exploratory factor analysis is conducted for figuring out the major factors among the 3 processes. Structural Equation Model are successively used for determining which characteristics of the infra and processes are the most critical variables to performance. The data was collected from KSA and composed of 52 companies and 346 their partners. The result shows that risk management process has no significant effect on the organizational performance and pre-production process collaboration.

• Journal of the Korean Society for Library and Information Science
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• v.49 no.3
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• pp.273-289
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• 2015

This study examined changes in citation index scores and rankings of thirty-five chemistry faculty members at Seoul National University using different co-authorship credit allocation models. Using 1,436 Web of Science papers published between 2007 and 2013, we applied the inflated, fractional, harmonic, network-based allocation, and harmonic+ models to calculate faculty's h-, R-, and normalization of h- and R- index scores and rankings. The harmonic+ model, which is based on our belief that contribution of primary authors should be the same regardless of collaboration, is designed to minimize the penalty for research collaboration imposed by harmonic and NBA models by boosting the contribution of collaborating primary authors to be on the equal footing with single authors. Although citation rankings by different models are correlated with each other within the same type of citation indicator, rankings of many faculty members changed across models, suggesting the importance of an accurate and relevant authorship credit allocation model in the citation assessment of researchers. The study also found that authorship patterns in conjunction with citation counts are important factors for robust authorship models such as harmonic and NBA, and harmonic+ model may be beneficial for collaborating primary authors. Future research that reexamines the models with updated empirical data would provide further insights into the robustness of the models.