• Journal of Intelligence and Information Systems
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• v.19 no.4
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• pp.21-37
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• 2013

Recently, as the advent of the knowledge-based society, there are more people getting interested in the intellectual property. Especially, the ICT companies leading the high-tech industry are working hard to strive for systematic management of intellectual property. As we know, the patent information represents the intellectual capital of the company. Also now the quantitative analysis on the continuously accumulated patent information becomes possible. The analysis at various levels becomes also possible by utilizing the patent information, ranging from the patent level to the enterprise level, industrial level and country level. Through the patent information, we can identify the technology status and analyze the impact of the performance. We are also able to find out the flow of the knowledge through the network analysis. By that, we can not only identify the changes in technology, but also predict the direction of the future research. In the field using the network analysis there are two important analyses which utilize the patent citation information; citation indicator analysis utilizing the frequency of the citation and network analysis based on the citation relationships. Furthermore, this study analyzes whether there are any impacts between the size of the company and patent citation relationships. 74 S&P 500 registered companies that provide IT and communication services are selected for this study. In order to determine the relationship of patent citation between the companies, the patent citation in 2009 and 2010 is collected and sociomatrices which show the patent citation relationship between the companies are created. In addition, the companies' total assets are collected as an index of company size. The distance between companies is defined as the absolute value of the difference between the total assets. And simple differences are considered to be described as the hierarchy of the company. The QAP Correlation analysis and MR-QAP analysis is carried out by using the distance and hierarchy between companies, and also the sociomatrices that shows the patent citation in 2009 and 2010. Through the result of QAP Correlation analysis, the patent citation relationship between companies in the 2009's company's patent citation network and the 2010's company's patent citation network shows the highest correlation. In addition, positive correlation is shown in the patent citation relationships between companies and the distance between companies. This is because the patent citation relationship is increased when there is a difference of size between companies. Not only that, negative correlation is found through the analysis using the patent citation relationship between companies and the hierarchy between companies. Relatively it is indicated that there is a high evaluation about the patent of the higher tier companies influenced toward the lower tier companies. MR-QAP analysis is carried out as follow. The sociomatrix that is generated by using the year 2010 patent citation relationship is used as the dependent variable. Additionally the 2009's company's patent citation network and the distance and hierarchy networks between the companies are used as the independent variables. This study performed MR-QAP analysis to find the main factors influencing the patent citation relationship between the companies in 2010. The analysis results show that all independent variables have positively influenced the 2010's patent citation relationship between the companies. In particular, the 2009's patent citation relationship between the companies has the most significant impact on the 2010's, which means that there is consecutiveness regarding the patent citation relationships. Through the result of QAP correlation analysis and MR-QAP analysis, the patent citation relationship between companies is affected by the size of the companies. But the most significant impact is the patent citation relationships that had been done in the past. The reason why we need to maintain the patent citation relationship between companies is it might be important in the use of strategic aspect of the companies to look into relationships to share intellectual property between each other, also seen as an important auxiliary of the partner companies to cooperate with.

• Knowledge Management Research
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• v.24 no.4
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• pp.177-193
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• 2023

This study explores the role of organizational culture, job characteristics, and work values and orientation in shaping the competitiveness of a multinational company (MNC) based in Korea. The purpose of the study was to examine the impact of these variables on the competitiveness attributes of the organizational culture profile through MR-QAP analysis. Data were collected from 161 employees in 15 different teams at a Korean automotive company headquartered in Seoul. The results of the study revealed the impact of network characteristics associated with competitive organizational culture on competitiveness. 'found to have a negative effect on competitiveness. Among the organizational culture profiles, social responsibility, supportiveness, innovation, and performance orientation have a significant positive effect on competitive organizational culture, while emphasis on rewards and stability have no significant effect. These findings provide practical implications for understanding the complex dynamics of organizational culture and promoting strategic approaches to enhance organizational competitiveness.

• Journal of the Korean Society for Library and Information Science
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• v.54 no.2
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• pp.299-322
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• 2020

The purpose of this study is to suggest reading education plan by exploring the characteristics of peer-relationship networks of elementary school students, and grasping the effects of those characteristics on the reading competencies. Social network analysis method was used, and centrality analysis, QAP correlation and QAP multiple regression analyses were conducted to examine the relationship between peers and reading competencies. The findings show that the help relationship rather than peer characteristics and friend relationship was related to reading competencies. However, since the friend relationship has an effect on the help relationship, it is also found that the relationship between the friend and the help relationship network should be considered in order to improve the reading competencies. This network analysis results are meaningful in reading education plan in the sense that they suggest a useful guideline for the formation of members ranging from individuals, small groups, to a whole class, and for periodical activities considering situation and learning purposes such as before, during, and after reading activities.

• The Journal of Bigdata
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• v.6 no.2
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• pp.109-124
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• 2021

In this paper, the structural characteristics of Industry-University cooperation networks are analyzed using network analysis. Recent studies have shown that technological cooperation and joint research has a positive effect on R&D performance. In order to boost innovation performance, various types of cooperative activities and governmental policy supports for major R&D stakeholders(i.e. universities, laboratories, etc.) are provided. However, despite these efforts, the outcome is still insufficient, so it is time to prepare for a plan to build an innovative network to strengthen university-centered Industry-University cooperation activities. Specifically, this study builds the networks according to the form of Industry-University cooperations(i.e. patent, paper, joint research, and technology transfer), and different types of Industry-University cooperation networks are analyzed from a statistical viewpoint by using QAP correlation and regression analyses. The analysis results show that joint research network is closely related to paper network, and is related to other Industry-University cooperation networks. This study is expected to shed a light on supporting innovation activities such as establishing Industry-University cooperation strategies and discovering cooperative partners necessary for creating new growth engines for universities.

• Journal of Information Technology Applications and Management
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• v.26 no.1
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• pp.95-102
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• 2019

Public transportation systems play key roles in supporting dynamic activities and interaction between urban places. Especially, high efficient public transportation systems are required in order to support large traffic demands in urban areas. In this paper, we define a new metric, structural activation level (SAL), to replace the conventional transportation share ratio (TSR) measuring efficiency of public transportation systems. First of all, we access the Korea Transport Database (KTDB) and download origin-destination data by transport types to construct traffic networks with respect to transport types for each city. Then, we calculate the QAP (Quadratic Assignment Procedure) correlation between each traffic network and the total traffic network for each city to investigate SAL by comparing cities one another. The results of our investigation reveal inconsistency between TSR and SAL. In Daegu, TSR of public transportation systems is relatively low while SAL is high. In Deajeon, however, SAL is low while TSR is high. Therefore, we suggest to take into consideration SAL as well as TSR in order to investigate the degree of activation of public transportation.

• Journal of the Korean Society of Clothing and Textiles
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• v.46 no.5
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• pp.772-788
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• 2022

This study investigates whether the image of the casual Hanbok brand is being communicated to consumers successfully. We conducted a semantic network analysis to identify ways of revitalizing communication between casual Hanbok brands and consumers; in addition, we quantitatively evaluated the effectiveness of communication marketing through Quadratic Assignment Procedure (QAP) analysis. Unstructured data from 2014-2021 were collected through portal sites and then refined and networked. Our analysis showed that casual Hanbok brands generally target younger people and that different brands employ similar methods to promote and popularize the casual Hanbok style. Consumers tended to recognize and show interest in casual Hanbok, suggesting the potential to expand the market to Blue Ocean. However, some of our findings revealed the potential factors of style coordination risk and prejudice against existing Hanbok, which could potentially hinder casual Hanbok's uptake and adoption. We conclude that increasing the demand for casual Hanbok depends not only on delivering an accurate brand image to consumers but also on balancing fashion with traditional images when planning products and providing styling information.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.21 no.9
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• pp.509-517
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• 2020

This study examined Sino-globalization through the network analysis of Chinese immigrants, international students, and travelers. The data were collected from the United Nations for immigrants, UNESCO for international students, and Ministry of Culture and Tourism of China for travelers. Consequently, Chinese immigrants and international students' favorite destinations were advanced Western countries, and Chinese travelers showed a high preference for Asian regions. Specifically, Thailand was the most popular destination for traveling, while the U.S. appeared to be the main destination for Chinese immigrants and students. The QAP analysis results showed a statistically significant correlation between the immigrant network and international student network. MR-QAP analysis found a causal relationship between the two networks. These findings may serve as empirical evidence for the Chinese government to review potential opportunities and problems related to Sino-globalization and provide the basis for preparing policy measures for other countries. Subsequent studies should compensate for research limitations by analyzing specific factors affecting national choice of Chinese immigrants, students, and travelers. The economic, social, and cultural impacts of China's globalization on other countries need to be discussed using qualitative research.

• Journal of Korean Dental Hygiene Science
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• v.6 no.2
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• pp.101-114
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• 2023

Background: This study aimed to explore the overall perception of pit and fissure sealants and suggest methods to revitalize their current stagnation. Methods: To determine the social perception of the change in coverage policy for pit and fissure sealants, we categorized them into five time periods. The first period (December 1, 2009 to November 30, 2010), the second period (December 1, 2010 to September 30, 2012), the third period (October 1, 2012 to May 5, 2013), the fourth period (May 6, 2013 to September 30, 2017), and the fifth period (October 1, 2017 to December 31, 2022). We utilized text mining, an unstructured big data analysis method. Keywords were collected and analyzed using Textom, and the frequency analysis of the top 30 keywords, structural features of the semantic network, centrality analysis, QAP correlation analysis, and co-occurrence analysis were conducted. Results: The frequency analysis showed that the top keywords for each time period were 'Cavities', 'Treatment', and 'Children'. In the structural features of the semantic network of pit and fissure sealants by time period, the density index was found to be around 1.00 for all time periods. The QAP correlation analysis showed the highest correlation between the first and second periods and the fourth and fifth periods with a correlation coefficient of 0.834. The co-occurrence analysis showed that 'cavities' and 'prevention were the top two words across all time periods. Conclusion: This study showed that pit and fissure sealants are well accepted by the society as a preventive treatment for caries. However, the awareness of health education related to these sealants was found to be low. Efforts to revitalize stagnant pit and fissure sealants need to be strengthened with effective education.

• Journal of the Economic Geographical Society of Korea
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• v.24 no.3
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• pp.259-282
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• 2021

This study analyzes actor networks in regional innovation processes with a focus on actors' activities and finds the determinants of the networks, thereby aiming to provide information useful for regional innovation policy makers. To this end, the study conducted a social network analysis of the national R&D projects data and identified the activities of innovation actors. Finding out the network determinants was QAP analysis. The study suggests three main findings as follows. First, a meaningful difference exists in characteristics of innovation activity by region. Second, the network of innovation actors meaningfully differs from region to region. The centrality of the network was found to be high in universities and businesses in Seoul and Gyeonggi, and in public research institutes in Daejeon. There are regions where all the networks of innovative actors are composed of one component, while some regions are not yet established with the network. Finally, although the networks of innovation actors are influenced by the geographical proximity and the size of the R&D fund, it is notable that the previous continuous relationship forms a strong research network.

• The Journal of the Korea Contents Association
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• v.19 no.11
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• pp.153-167
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• 2019

This study aims to identify the media agenda and to compare each media agenda by media and by time period, analyzing the news about 2019 Gangwon-do's wild fire reported by 37 Korean news media. Using the topic modeling algorithm and semantic network analysis, this study inspected the configuration of the network media agenda and examined the intermedia agenda setting effect by using QAP correlation analysis. Results showed that the sensational media agenda with the attributes such as victim aid and political conflict and the similarity of each media agenda for this disaster reporting.