• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.12 no.6
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• pp.89-98
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• 2017

The dynamic entrepreneurial activities of small businesses or individual entrepreneurs seeking to enter the global market based on innovative ideas and challenging spirit in the modern society, which is trending in entrepreneurial capitalism according to the times, Leading to new growth engines. In order to promote the establishment of universities in Korea, the government has been working on 'Five-Year Plan for University Entrepreneurship Education(2013-2017)', 'Efficiency of Government Start-up Support in 2015', and 'Five-Year Basic Plan for Activation of Industry-University Cooperation(2016-2020)'. However, there are still practical limitations in spite of the efforts made by universities and research institutes to revitalize start-ups. As a way to overcome these limitations, this study aims to systematize the entrepreneurship education of the university, and examines the role of changing universities and theory of clusters and the entrepreneurship education. In addition, we will look at the factors of creative university culture centering on the representative cases of the Innovation University in US, and present a conceptual framework for cluster-based entrepreneurship education for the purpose of 'successful entrepreneurship' which is different from 'start-up success'. The conceptual framework of cluster-based entrepreneurship education is based on the establishment of 'Integrated Entrepreneurship Education Platform' to revitalize start-ups centered on university technology. At the same time, this framework focuses on the three factors of talent, technology, and culture based on the relevant theories and examples, and emphasizes the clustering of entrepreneurial resources, entrepreneurial policies and leadership that should be involved in entrepreneurship education.

• Journal of Environmental Impact Assessment
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• v.25 no.4
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• pp.296-306
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• 2016

There is a growing interest in establishing a regional climate change adaptation policy as the climate change impact in the region and local scale increases. This study focused on the analysis of 32 regions on its characteristics of local climate change adaptation plans. First, statistic program R was used for conducting cluster analysis based on the frequency and budgets of adaptation plan. Further, we analyzed damage frequency from newspapers regarding climate change impacts in eight categories which were caused by extreme weather events on 2,565 cases for 24 years. Lastly, the characteristics of climate change adaptation plan was compared with damage frequency patterns for evaluating the adequacy of climate change adaptation plan on each cluster. Four different clusters were created by cluster analysis. Most clusters clearly have their own characteristics on certain sectors. There was a high frequency of damage in 'disaster' and 'health' sectors. Climate change adaptation plan and budget also invested a lot on those sectors. However, when comparing the relative rate among regional governments, there was a difference between types of damage and climate change adaptation plan. We assumed that the difference could come from that each region established their adaptation plans based on not only the frequency of damage, but vulnerability assessment, and expert opinions as well. The result of study could contribute to policy making of climate change adaptation plan.

• The Journal of the Convergence on Culture Technology
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• v.9 no.3
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• pp.715-720
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• 2023

The military is driving innovative changes such as AI, cloud computing, and drone operation through the Fourth Industrial Revolution. It is expected that such changes will lead to a rapid increase in the demand for information exchange requirements, reaching all lower-ranking soldiers, as networking based on IoT occurs. The flow of such information must ensure efficient information distribution through various infrastructures such as ground networks, stationary satellites, and low-earth orbit small communication satellites, and the demand for information exchange that is distributed through them must be appropriately dispersed. In this study, we redefined the DSCP, which is closely related to QoS (Quality of Service) in information dissemination, into 11 categories and performed research to map each cluster group identified by cluster analysis to the defense "information exchange requirement list" on a one-to-one basis. The purpose of the research is to ensure efficient information dissemination within a multi-layer integrated network (ground network, stationary satellite network, low-earth orbit small communication satellite network) with limited bandwidth by re-establishing QoS policies that prioritize important information exchange requirements so that they are routed in priority. In this paper, we evaluated how well the information exchange requirement lists classified by cluster analysis were assigned to DSCP through M&S, and confirmed that reclassifying DSCP can lead to more efficient information distribution in a network environment with limited bandwidth.

• Asia pacific journal of information systems
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• v.18 no.3
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• pp.45-65
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• 2008

The rapid growth of the Internet has increased the amount of transmission of personally identifiable information. At the same time, with new Internet related technologies, organizations are trying to collect and access more personal information than before, which in turn makes individuals concern more about their information privacy. For their successful businesses, organizations have tried to alleviate these concerns in two ways: (1) by offering privacy policies that promise certain level of privacy protection; (2) by offering benefits such as financial gains or convenience. In this paper, we interpret these actions in the context of the information processing theory of motivation. This paper follows Hann et al.(2007)'s methods to analyze Internet users privacy concerns in Korea and tries to compare the findings. Our research objectives are as follows: First, we analyze privacy concern mitigation strategies in the framework of the expectancy theory of motivation. Subsequently, we show how the expectancy theory based framework is linked o the conjoint analysis. We empirically validate the predictions that the means to mitigate privacy concerns are associated with positive valences resulting in an increase in motivational score. In order to accommodate real-life contexts, we investigate these means in trade-off situation, where an organization may only be able to offer partially complete privacy protection and/or promotions and/or convenience, While privacy protection (secondary use, improper access) are associated with positive valences, we also find that financial gains can significantly increase the individuals' motivational score of a website in Korea. One important implication of this empirical analysis is that organizations may possess means to actively manage the privacy concerns of Internet users. Our findings show that privacy policies are valued by users in Korea just as in the US or Singapore. Hence, organizations can capitalize on this, by stating their privacy policy more prominently. Also organizations would better think of strategies or means that may increase online users' willingness to provide personal information. Since financial incentives also significantly increase the individuals' motivational score of website participation, we can quantify the value of website privacy protection in terms of monetary gains. We find that Korean Internet users value the total privacy protection (protection against errors, improper access, and secondary use of personal information) as worthy as KW 25,550, which is about US 28. Having done this conjoint analysis, we next adopt cluster analysis methodology. We identify two distinct segments of Korea's internet users-privacy guardians and information sellers, and convenience seekers. The immediate implication of our study is that firms with online presence must differentiate their services to serve these distinct segments to best meet the needs of segments with differing trade-offs between money and privacy concerns. Information sellers are distinguished from privacy guardians by prior experience of information provision, To the extent that businesses cannot observe an individual's prior experience, they must use indirect methods to induce segmentation by self-selection as suggested in classic economics literature of price discrimination, Businesses could use monetary rewards to attract information sellers to provide personal information. One step forward from the societal trends that emphasize the need of legal protection of information privacy, our study wants to encourage organizations and related authorities to have the viewpoints to consider both importance of privacy protection and the necessity of information trade for the growth of e-commerce.

• Journal of the Economic Geographical Society of Korea
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• v.19 no.4
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• pp.597-615
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• 2016

Since 1997 the United Kingdom has pursued creative industry and creative city development in accordance with the New Labor Party policy, strengthening its cluster policy by assigning creative city policies to traditional manufacturing-oriented regions. Tech City in London, one of the most successful examples of digital clusters, is an area in which diverse ecosystems for venture business integration have been established, as the once barren space began to spontaneously develop. For this region, systematic linkages including universities, private companies, start-ups, and accelerators have been added, along with the UK government's active support system. As a result of this opportunity, the scale of the UK start-up ecosystem has significantly grown, the number of local companies has surged, and brand effect has greatly improved. Tech City is an example of a well-balanced combination of public effort and private governance, based on the region's historical background and its potential for growth. It is an effective coordination of public policy and private active investment, services, research, and education. The market platform for institutional technology and commercialization, and aggressive investment shares in the risk, have lead to its growth as a start-up and an innovative city. Britain's efforts to expand the nationwide cluster for the future-oriented digital economy is most noteworthy.

• Tuberculosis and Respiratory Diseases
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• v.60 no.3
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• pp.290-296
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• 2006

Background : IS6110 DNA fingerprint is a very useful tool for investigating the transmission of tuberculosis. The aim of this study was to identify the epidemiological situations within a given area (one province). Methods : The 681 Mycbobacterium tuberculosis isolates from patients, who were registered at health centers in Gyeonggi Province from May to December in 2004, were subjected to IS6110 DNA fingerprinting. Patients belonging to clusters were interviewed by health-workers to determine their previous contacts or household TB history. Results : The number of IS6110 copies of the 681 isolates showed diverse fingerprint patterns from 0 to 21 of which the most prevalent copy number was 10 from 120 isolates (17.6%). Thirty-three isolates (4.8%) belonged to the K strain, and 128 isolates (18.8%) belonged to the K family. There were 180 (26.4%) isolates belonged belonging to fifty clusters, of which two clusters were within household transmission. Forty-three (23.9%) out of 180 patients resided in an area under the same health center control. The rate of clusters in those aged 60-70 was higher than in any other age group ( 95% CI of RR : 1.072 ~ 1.988). Conclusion : This is the first report of an epidemiological survey based on a whole province using a DNA fingerprinting technique for M. tuberculosis. These results will be helpful in developing a program or policies to prevent the transmission of TB.

• KIPS Transactions on Computer and Communication Systems
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• v.4 no.9
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• pp.283-288
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• 2015

Scientists gain benefits from on-demand scalable resource provisioning, and various computing environments by using cloud computing resources for their applications. However, many cloud computing service providers offer their cloud resources according to their own policies. The descriptions of resource specification are diverse among vendors. Subsequently, it becomes difficult to find suitable cloud resources according to the characteristics of an application. Due to limited understanding of resource availability, scientists tend to choose resources used in previous experiments or over-performed resources without considering the characteristics of their applications. The need for standardized notations on diverse cloud resources without the constraints of complicated specification given by providers leads to active studies on intercloud to support interoperability in hybrid cloud environments. However, projects related to intercloud studies are limited as they are short of expertise in application characteristics. We define an intercloud resource classification and propose semantic resource recommendation based on statistical analysis to provide semantic cloud resource services for an application in hybrid cloud computing environments. The scheme proves benefits on resource availability and cost-efficiency with choosing semantically similar cloud resources using cluster analysis while considering application characteristics.

• Journal of the Korean Academic Society of Industrial Cluster
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• v.1 no.1
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• pp.47-66
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• 2007

The progress of digital revolution leads to technology and industry infusion which make new products and new commodity markets in the existing industries. Under the circumstance of new innovation patterns in industries and globalization of the world, innovation firms adapt different evolution processes for different business situations. Technological innovation enhances the competitiveness of fins in the business world. This paper shows the researches on technological innovation which make constant economy growth in the knowledge based economy. And this paper also suggests the policy on technological innovation for the future growth of society. Main focus of this paper are as follows. First, the theoretical survey on technological innovation is reviewed. Second, the program and the supporting system for technological innovation in the USA and Europe are investigated. Third, the situation and problems of Korea is analysed. Fourth, strategy and suggestions on the development of technological innovation in the 21st century knowledge based economy is suggested through the window of cluster and regional economy development.

• Journal of the Korea Society of Computer and Information
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• v.10 no.5 s.37
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• pp.301-312
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• 2005

In this paper, as the culture industry rises as the new scale of the nation's competivity. it is moving from the national standard to regional standard, and the demands of the regions and People for the culture industry, also known as the entertainment industry, are increasing. Also, the study executed an empirical analysis on region리 approaches and efficiency of the approaches for the development of culture industry in Korea. The followings show the summarized results of the study. The culture is changed by the social and economical conditions, and the culture industry is changed by changes in culture consumers and introduction of cultural policies. Under the social conditions, the rise of mass culture in big cities appear as the influencive factors and the rise of mass culture in small ton also work as the influencive factors but the people of the small towns emphasize the culture lifestyles. The shows that the big cities emphasize the masses but on the other hand, the small towns emphasize the lifestyles. Under the economical conditions, the diversification of culture distributions, culture commercialization, and culture cluster show to be the influencive factors in the big cities. Even in the small towns, the diversification of culture distributions and culture commercialization work as the influencive factors but the culture cluster could not have any influences.

• Journal of the Korean housing association
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• v.26 no.6
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• pp.43-52
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• 2015

The purpose of this study was to explore housing value clusters of young renters in South Korea and their relationships to household and housing characteristics reflected in the 2012 Korea Housing Survey (KHS). The 2012 KHS microdata was used as secondary data. Among the households included in the microdata, 1,196,144 young renter households (between 20 and 34 years of age) in private rental units were analyzed. The main findings are as follows. Ten rating scale items measured housing values. Eight of them were grouped into three value factors: Investment, Affordability and Cost Increase. Using these three value factors and perception of homeownership, households were classified into four clusters: Prospective Home Investor, Settled Renter, Homeowner Wannabe, and Support Needed. The current tenure types, income and expectation for next tenure types of four housing value clusters of young renters reflected Korea's tenure ladder which has home ownership at top followed by Jeon-se rental, monthly rental with deposit and monthly rental without deposit. The households in Prospective Home Investor and Homeowner Wannabe clusters would consider home purchase in the near future. Finally, households in Support Needed Cluster would be the main target to consider in development and implementation of housing welfare policies and programs to resolve housing problems of young renters, including beginning-stage professionals.