• International Area Studies Review
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• v.12 no.3
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• pp.25-47
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• 2008

This paper tries to explore the impact of economic globalization on social capital accumulation. To investigate direct effect, we build a model and derive a proposition which can explain the relative decline in social capital brought about by market expansion. Besides direct effect, we also explore channel effect through democracy, government size, education attainment, and inequality. We estimate direct and channel effect of globalization using cross section of 65 countries data time period 1980-1999 using three-stage least squares(3SLS). Results are in line with predictions and clearly support that globalization significantly and negatively affects social capital accumulation. Channel effect also shows that globalization has a negative effect through aggravating income inequality while it has a positive effect through higher education attainment, higher level of democracy and larger government spending. Such a net negative channel effect reinforces our prediction. As a robustness check we estimate other sets of data and the result strongly supports our theory.

• Convergence Security Journal
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• v.21 no.1
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• pp.73-78
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• 2021

Big data is a key driver of the fourth industrial revolution, represented by ultra-connected, ultra-intelligence, and ultra-convergence, and it is important to create innovation and share, link, and utilize data to discover business models. However, it is difficult to secure and utilize high-quality and abundant data when big data platforms are built in a regular manner without considering shared-linked. Therefore, this paper presents the development direction of big data platform infrastructure by comparing and analyzing various cases of big data platforms to enable data production, construction, linkage, and distribution.

• Patent21
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• s.62
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• pp.8-15
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• 2005

본 보고서는 일본의 경제연구소(RIETI)에서 발간한 보고서로서 특허인용문에 쓰이는 일반적인 과학저널의 데이터를 대상으로 분석을 실시한 것이다.

• KAPE Magazine
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• s.246
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• pp.21-23
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• 2017

• Ingenium
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• v.23 no.1
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• pp.18-21
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• 2016

• Journal of Information Management
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• v.18 no.1
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• pp.94-100
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• 1985

• Journal of Information Management
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• v.17 no.2
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• pp.28-48
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• 1984

• The Journal of the Korea Contents Association
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• v.18 no.2
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• pp.262-268
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• 2018

It is essential to build a integrated database (DB) to grasp the present status and various analysis of the economic, social and cultural sectors of local governments and to provide various inquiries on the status data of the local governments according to the purpose of analysis. This study proposed a design method of the integrated DB which can support the inquiry and analysis of the data by the local government. The integrated DB should cover a wide range of heterogeneous data on the economic, social and cultural activities of local governments, and it is necessary to design a schema that can integrate the entire data considering differences between local governments and data elements. The data should be structured in accordance with the characteristics, and it should be possible to inquire related data comprehensively through the search through the keywords. In addition, data retrieval and downloading functions are indispensable for the researcher to easily retrieve data necessary for research purpose and to download and modify data for analysis.

• Journal of the Korean Data and Information Science Society
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• v.26 no.1
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• pp.89-99
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• 2015

The World Economic Forum and the Korean Ministry of Knowledge Economy have selected big data as one of the top 10 in core information technology. The key of big data is to analyze effectively the properties that do have data. Clustering analysis method of big data techniques is a method of assigning a set of objects into the clusters so that the objects in the same cluster are more similar to each other clusters. Similarity measures being used in the cluster analysis may be classified into various types depending on the nature of the data. In this paper, we studied upper and lower bounds for binary similarity measures with negative matches such as Russel and Rao measure, simple matching measure by Sokal and Michener, Rogers and Tanimoto measure, Sokal and Sneath measure, Hamann measure, and Baroni-Urbani and Buser mesures I, II. And the comparative studies with these measures were shown by real data and simulated experiment.

• Informatization Policy
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• v.26 no.1
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• pp.25-45
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• 2019

With the advent of the data economy, interest in using big data has increased, but conflicts with protecting personal information have been also steadily raised. In this regard, major countries are accelerating use of big data by exempting de-identified, pseudonymous personal information from protection. However, these policies have been made without the understanding that the economic value of personal information has been actually changing slowly. This paper presents the concept of 'collected information' and defines it as having public interest and therefore, not the exclusive property of the collector of such information. The paper shows the collected information has public interest in terms of personal information protection, connectivity, and universal service and public goods. It also specifies that the 'data governance' cannot be applied to the current data utilization framework that depends upon the holder's consent; rather, it raises the need to improve the practices of information provision consent or provide the beneficiary right of information use to the information holder in order to ensure the proper 'data governance' that will turn market failure into success.