• Journal of the Economic Geographical Society of Korea
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• v.27 no.3
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• pp.192-207
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• 2024

This study aims to identify the mechanism of the dark side of social capital in traditional markets in rural areas and explain its impact on market members and commercial districts. As a result of qualitative analysis of interview data for merchants and visitors, the dark side of social capital in the traditional market appears in the form of exclusion, organized corruption, and in-group bonds. The dark side of social capital destroys trust and disconnects communication among the merchants and the members of merchant associations, which in turn changes the thoughts and behaviors of members and negatively affects the members and the commercial district. This study interprets the effects on the attitudes and behaviors of members through the framework of the dark side of social capital. It provides a new perspective on the impact of social capital on changes in rural areas, such as urban-to-rural migration and population decline, by attempting to interpret the attitudes and behaviors of members through the dark side of social capital.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.22 no.3
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• pp.565-573
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• 2012

To investigate the business corruption, the obtainments of the business data such as personnel, manufacture, accounting and distribution etc., is absolutely necessary. Futhermore, the investigator should have the systematic extraction solution from the business data of the enterprise database, because most company manage each business data through the distributed database system, In the general business environment, the database exists in the system with upper layer application and big size file server. Besides, original resource data which input by user are distributed and stored in one or more table following the normalized rule. The earlier researches of the database structure analysis mainly handled the table relation for database's optimization and visualization. But, in the point of the digital forensic, the data, itself analysis is more important than the table relation. This paper suggests the extraction technique from the table relation which already defined in the database. Moreover, by the systematic analysis process based on the domain knowledge, analyzes the original business data structure stored in the database and proposes the solution to extract table which is related incident.