• Journal of the Korean Society for information Management
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• v.37 no.2
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• pp.71-93
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• 2020

Today, in order to more effectively cope with the emergence of various diseases and the rapidly-changing medical environment, several medical departments are conducting treatment collaborations within the university hospital. This collaborative care is very important and is already common in the medical field. Nevertheless, there is no research on this, especially how the departments are collaborating. Therefore, the purpose of this study is to investigate how the characteristics of the treatment collaboration networks vary by year and season by exploring the relationship between the medical departments within the university hospital. This study analyzed the collaboration networks of 29 medical departments of 'A' university in Korea by dividing the collaborative care by year and season. Directed networks were constructed in response to departments requesting and departments requested for collaborative care. Betweenness centrality, eigenvector centrality, closeness centrality analysis, ego network analysis, and faction analysis were also conducted. This study performed the first treatment collaboration network analysis among medical departments, and is expected to present new insights into the location and spatial composition of medical departments in consideration of the knowledge transfer paths within medical institutions.

• Journal of Families and Better Life
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• v.28 no.5
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• pp.209-223
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• 2010

This research how self-esteem and consumption behavior for adolescent consumers are differentiated different psychological home environment and how the psychological home environment during adolescence self-esteem and consumption behavior. The result of the research as follows. First, when the psychological home environment categorized in 4 subgroups, accomplishment-non-accomplishment zone had average 3 points sense of non-accomplishment. Setting the aspiration level and striving to achieve such level were reviewed to be low. In autonomous-heteronomous, it is thought that with more allowance more responsible for actions and autonomous actions such as respecting personal opinions. Secondly, all 5 sub-groups of the self-esteem level for adolescent consumers showed average of approximately 3 points, a normal standard self-esteem When the overall school score is high self-esteem was also given high points. It can be thought that the school scores provide positive or negative effect on pride, future and surrounding situations. When psychological home environment was deemed positive in the relationship between psychological home environment and self-esteem, evaluation and the faith how other people recognize one were also thought positively. Thirdly, 4 subgroups of the consuming behavior for adolescent consumers had under 3 points for trend pursuit, showing a less severe trend pursuit by adolescents then expected. Consumer behavior for different psychological home environment and self-esteem showed that consumers selected a utility, while trendy and unique consumer behavior was found with middle level of open-closeness when a sense of accomplishment was significant among the psychological home environment.

• Journal of KIISE:Computing Practices and Letters
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• v.16 no.3
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• pp.361-365
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• 2010

In recent years, social networks come into the spotlight as the important ways to find people or share information. Especially, existing social network services based on the Internet, such as Facebook.com and Cyworld.com, are now extended into the mobile environment. A mobile phone easily collects the personal information since it is carried by the user at all times, and various types of data can be gathered together with the advance of sensor technologies. These features differentiate the mobile social network services from the previous Internet-based services. In this paper, we estimate the user's mobile social contexts like closeness and relationship between the user and surrounding people using Bayesian networks. The mobile social contexts can be employed as important information for providing mobile social network services, and experimental results on real world data have verified their possibilities.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.21 no.10
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• pp.471-479
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• 2020

In this paper, we analyze features of radical innovative businesses using their patents. Although patents have been used to evaluate outcomes of businesses from the 1980s, it is challenging to use patents for radical innovations. We examined the possibility of taking advantage of patents for an indicator that represents a radical innovation in pharmaceutical industry. To this end, we collected FDA approval data from the U.S. Food and Drug Administration and patent data of 18 pharmaceutical companies. For analysis, we utilized the network centrality analysis and Wilcoxon signed ranked test, which is a non-parametric statistical hypothesis test used to compare two related samples. We observed that a radical innovative company typically cooperates with other research groups, such as universities and companies, and acts as a hub for connectivity in pharmaceuticals. Also, we found that there are differences in centrality between radical firms and non-radical firms. Thus, we expect that the results of this study will help in developing strategies for research and development of pharmaceutical companies and identifying factors affecting radical innovation in the future.

• Proceedings of the Korean Operations and Management Science Society Conference
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• 2002.05a
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• pp.449-455
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• 2002

This paper considers that advanced planning and scheduling (APS) in manufacturing and the efficient purchasing where each customer order has its due date and multi-suppliers exit We present a Make-To­Order Supply Chan (MTOSC) model of efficient purchasing process from multi-suppliers and APS with outsourcing in a supply chain, which requires the absolute due date and minimized total cost. Our research has included two states. One is for efficient purchasing from suppliers: (a) selection of suppliers for required parts; (b) optimum part lead­time of selected suppliers. Supplier selection process has received considerable attention in the business­management literature. Determining suitable suppliers in the supply chain has become a key strategic consideration. However, the nature of these decisions usually is complex and unstructured. These influence factors can be divided into quantitative and qualitative factors. In the first level, linguistic values are used to assess the ratings for the qualitative factors such as profitability, relationship closeness and quality. In the second level a MTOSC model determines the solutions (supplier selection and order quantity) by considering quantitative factors such as part unit price, supplier's lead-time, and storage cost, etc. The other is for APS: (a) selection of the best machine for each operation; (b) deciding sequence of operations; (c) picking out the operations to be outsourcing; and (d) minimizing makespan under the due date of each customer's order. To solve the model, a genetic algorithm (GA)-based heuristic approach is developed. From the numerical experiments, GA­based approach could efficiently solve the proposed model, and show the best process plan and schedule for all customers' orders.

• Journal of the Ergonomics Society of Korea
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• v.26 no.3
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• pp.81-89
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• 2007

The purpose of this study is to develop data base and interface for sofa consumers and sofa designers. The human sensibility ergonomics method was used to find the consumer needs and Quality Function Deployment (QFD) method was used to extract the designing characteristics required for sofa production. About 200 words and 100 images were gathered from sofa and furniture related catalogs and internet sites to find the best emotional words and images that can express the various sofa aspect. Among the collected words and images, 34 emotional words were selected for sensibility experiment according to the opinions of experts, relations of closeness and frequency of use, and 50 images were selected for the experiment by the diversity. Selected words and images were used for the semantic differential method with 94 subjects, and sensibility characteristics of sofas were defined through various statistical analysis methods including basic statistical analysis, factor analysis and multi-dimensional scale. In reflecting design characteristics of sofas, design factors of sofas were divided into backrest, seat, armrest, neck support and leg, and relative importance of each factor for design was determined with analytic hierarchy process (AHP) by utilizing the experts' opinions. Based on the results above, relationship analysis between emotional evaluation results and design factors was performed. Also, as various sofa images are presented diagrammatically through multidimensional scaling method, it can be used as an important tool for the development of sofa design. This study will contribute improving the product quality of sofas as it enables applying consumer needs into the sofa design.

• Korean Journal of Childcare and Education
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• v.3 no.2
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• pp.108-122
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• 2007

The objective of this study was to examine factors that affect service linkage and Satisfaction of Comprehensive child care services through Community resources linkage. The subjects were 370 child care center workers providing child care services in Busan. The results showed that: First, in personal factors, maintenance of service interchange for maintenance of relationship with other facilities had significant effect on the satisfaction level, Second, in the case of organizational factors, closeness with linkage facility, sufficient business capital, positiveness for linkage, and preparedness of internal provisions for linkage had significant effect on the satisfaction level. Third, in the case of environmental factors, proximity with linkage agencies, level of environment fostering, and level of cooperation with linkage agencies had significant influence.

• Journal of Digital Convergence
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• v.11 no.11
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• pp.209-217
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• 2013

This study focuses on the analysis of purchased items' relationship occurred by consumers' purchasing behavior observed in on-line shopping mall based on social network analysis. In order to find relational characteristics of each item for establishing marketing strategy, we apply three definitions of centrality in network, which are degree centrality, betweenness centrality, and closeness centrality in the purchased items' network. Thus, the research results provide the criteria for selection of market segmentation variables. Furthermore, the details of case has been introduced to validate the analyzed results in terms of marketing strategy, and supporting evidences are provided accordingly.

• Korea Real Estate Review
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• v.27 no.3
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• pp.51-70
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• 2017

This study aimed to measure street centralities with the street width, and to analyze their effects on the residential and non-residential land prices in Seoul, South Korea. Most of the studies on urban economics and policy focusing on the urban spatial structure have evolved in terms of their perspective from monocentric to polycentric models. Recently, their themes shifted to measuring street centralities and capturing their effects on urban phenomena. To expand the existing studies and discussion, this study analyzed the street centralities with the street width, and how they changed the land prices. Multilevel regression models generated a few key findings relevant to the relationship between street centralities and land prices. While a higher detour volume and closeness to wider streets commanded premium residential land prices, higher visibility and detour volume to wider streets were associated with higher non-residential land prices. These findings suggest a robust connection between street configuration and near-land prices. Thus, the results of this study suggest a few insightful policy implications for urban planners, urban designers, real estate developers, and appraisers.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.15 no.10
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• pp.3571-3587
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• 2021

For accurately analysing and forecasting the social networks of China's political, economic and social power elites, it is necessary to develop a database that collates their information. The development of such a database involves three stages: data definition, data collection and data quality maintenance. The present study recommends distinctive solutions in overcoming the challenges that occur in existing comparable databases. We used organizational and event factors to identify the Chinese power elites to be included in the database, and used their memberships, social relations and interactions in combination with flows data collection methodologies to determine the associations between them. The system can be used to determine the optimal relationship path (i.e., the shortest path) to reach a target elite and to identify of the most important power elite in a social network (e.g., degree, closeness and eigenvector centrality) or a community (e.g., a clique or a cluster). We have used three social network analysis tools (i.e., R, UCINET and NetMiner) in order to find the important nodes in the network. We compared the results of centrality rankings of each tool. We found that all three tools are providing slightly different results of centrality. This is because different tools use different algorithms and even within the same tool there are various libraries which provide the same functionality (i.e., ggraph, igraph and sna in R that provide the different function to calculate centrality). As there are chances that the results may not be the same (i.e. centrality rankings indicating the most important nodes can be varied), we recommend a comparison test using different tools to get accurate results.