• Journal of Internet Computing and Services
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• v.15 no.2
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• pp.73-85
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• 2014

This study analyzed the profile of a Facebook account to examine how personal information is revealed and what kinds of factors influence personal information revelation. Categories of user's profile on Facebook were analyzed and two dimensions were developed; the degree that how much personal information is revealed and the network limits that personal information is accessed. Main variables to determine personal information revelation are Facebook privacy concern and uses for social relationships along with gender, the duration of Facebook use, and average time of use. Data were collected from college students. Factor analysis produced two factors of Facebook privacy concern, Facebook privacy concern with users and Facebook privacy concern with the Facebook system. Regression analyses were performed to identify significant determinants of the degree of information revelation and the network limits of personal information. The results found out that the degree of personal information revelation is explained by gender, the duration of use, and use for social relationships while the network limit is explained by the duration of use and Facebook privacy concern with users. Worthy of notice is that use for social relationships and Facebook privacy concern with the Facebook system offset each other. The implications of the results are discussed. Additionally and finally the categories of profiles are graphically re-grouped to show how personal information revelation is associated with social relationship generation and maintenance.

• Korea Journal of Hospital Management
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• v.17 no.3
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• pp.1-22
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• 2012

The purpose of this study is to analyze the mediating effect of informatization level between characteristics of introducing information system and organizational performance in hospital settings, and to provide suggestions to improve the performance level of strategic information system of hospitals. In order to achieve study purpose, a causal path model was developed and empirically tested. Data were collected from 746 managers of 92 hospitals keeping information system in Busan, Ulsan and Kyungnam Province using self-administered structured questionnaire. Major results of this study were as follows; The results of the path analysis showed that organizational characteristics variables except informatization strength within health industry had significant effects on informatization level, and had indirect effects on organizational performance mediated by informatization level. On the other hand, informatization level, especially revelation capability among informatization level variables, was found to have significant direct effect on organizational performance. These results of empirical test imply that informatization level variables are both important affecting factors on organizational performance and mediating factors between organizational characteristics and organizational performance. Therefore, in order to increase organizational performance, measures improving informatization level should be developed and carried out continuously. And, especially, focusing on building and strengthening revelation capability is crucial to those efforts.

• The Journal of the Korea Contents Association
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• v.12 no.7
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• pp.156-168
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• 2012

As the increase of violent crimes such as robbery, murder, and rape has become a social problem, the government is considering institutionalizing the identification of criminals to prevent crime and to guarantee people's right to know. Such an atmosphere led to the approval of the revision of 'Special Law On the Punishment of Specific violent Crimes' in the National Assembly in April 2010. The revision allows the revelation of the profiles of crime suspects including the pictures of their faces at the investigation stage. However, whether the revision had been effective in preventing crime has not been demonstrated empirically. Moreover, identity revelation is a grave intrusion into privacy and an abuse of human rights such as personal rights and the right to a fair trial, since personal information of criminal suspects would be released to the media prior to the court's final judgements. Also it violates the principle of presumption of innocence, the principles of due process, the principle of double jeopardy, the principle of prohibition against excessive, the principles of clarity, and the principle of liability.

• Proceedings of the Korean Information Science Society Conference
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• 2005.07a
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• pp.517-519
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• 2005

정부는 최근 IT839전략에서 RFID/USN(Ubiquitous Sensor Network)를 기반으로 한 정보화 추진 개념을 정립하였으며, 기술개발 및 시범사업 등을 통하여 이를 확산시키기 위한 기본계획을 발표함과 동시에 RFID/USN 시스템 도입이 적극적으로 추진되고 있다. 본 논문에는 RFID를 기반으로 한 세가지 USN서비스를 도출하고 구현한다. RFID 개념을 계승, 확장한 USN 서비스로 관리물품 도난방지 서비스, 무단 침입 경보 서비스, 사용자 인식 공간 서비스를 도출한다. 또한 본 논문에서는 스마트 단말기에 대한 소개를 하고 위 서비스들의 구현상의 설계 쟁점들을 고려한 서비스 시스템을 구현한다.

• Information Systems Review
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• v.23 no.4
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• pp.147-163
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• 2021

We investigate the effect of comment history disclosure on portal news comments. Specifically, based on the scraped news comments from Naver and Daum (two leading Korean news portals), we employ the difference-in-differences estimator to empirically tease out the impact of the comment history disclosure policy implemented in Naver on its news comments. Our result shows that the policy implementation significantly increased the length and the positiveness of online news comments but did not affect their quality.

• Korea Trade Review
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• v.46 no.2
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• pp.107-119
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• 2021

Using a trade policy, government can shift profits from foreign firms to domestic firms. This paper will reexamine how asymmetric information can affect the equivalence of tariff and quota in a duopoly, where one domestic firm competes with one foreign firm. It can happen that the domestic firm has informational advantage against the government. Within this framework, the domestic firm has private information about own marginal cost as well as the foreign firm's. The domestic firm would exploit the advantage to draw a favorable policy from the government. When the government is misled, social welfare would decline. This paper will guide how the government can extract information from the domestic firm by offering a menu of tariff or quota. Previous studies showed that quota demands information more than tariff. With the principle of revealed information, the domestic firm chooses tariff (quota) if the marginal cost of foreign firm is low (high). The quota level will be high (low) if the marginal cost of domestic firm is high (low). To prevent misrepresentation, the domestic firm should be charged when quota is implemented. When the quota level is low, the domestic firm is charged additionally. This paper can contribute to the literature of trade policy and information.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.16 no.3
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• pp.813-829
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• 2022

In multi-view subspace clustering, how to integrate the complementary information between perspectives to construct a unified representation is a critical problem. In the existing works, the unified representation is usually constructed in the original data space. However, when the data representation in each view is very diverse, the unified representation derived directly in the original data domain may lead to a huge information loss. To address this issue, different to the existing works, inspired by the latest revelation that the data across all perspectives have a very similar or close spectral block structure, we try to construct the unified representation in the spectral embedding domain. In this way, the complementary information across all perspectives can be fused into a unified representation with little information loss, since the spectral block structure from all views shares high consistency. In addition, to capture the global structure of data on each view with high accuracy and robustness both, we propose a novel low-rank approximation via the tight lower bound on the rank function. Finally, experimental results prove that, the proposed method has the effectiveness and robustness at the same time, compared with the state-of-art approaches.

• Journal of the HCI Society of Korea
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• v.7 no.1
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• pp.11-17
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• 2012

A number of context information is shared through social network service(SNS). Among them, we focused on the information which is rarely shared for various reasons. The result indicated that users prefer to avoid certain types of context information because of： 1)containing socially unacceptable content, 2)laking of desire for disclosure, and 3)potential risk of privacy. Concerning privacy concern, it was found that users developed their own management strategy to control context information rather than employing existing system features. Drawing on Communication Privacy Management(CPM) theory, we analyzed findings and suggested guidelines for system design.

• Knowledge Management Research
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• v.14 no.5
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• pp.137-149
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• 2013

Although business Intelligence system is introduced to many companies over the past decade, The result of business benefits from BI investment are not so significant than expected. But still successful BI system can provide the ability to analyse business information in order to support and improve management decision making across a broad range of business activities. In recently, Business Analytics System(BA) is emerging as advanced alternative of outdated and inefficient BI System. This study is focus on constructing procedure of BA system in KB card company, which is major credit card company in South Korea. In practice there were just few works that mentioned well-designed environment of KMS system, and other contribution of this study is to make a platform which invoke revelation of collective intelligence in data analytic professional users group.

• Journal of the Korean Society of Clothing and Textiles
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• v.29 no.6
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• pp.868-876
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• 2005

Silk fabrics were dyed with yellow natural materials. Gardenia, turmeric, amur cork tree, safflower, Japanese pagoda tree, and onion were used as natural materials. Color image of natural dyed silk fabrics was classified by 4 factors(Cheerfulness, Comfortness, Pastrol, Revealation). Cheerfulness factor affected significantly with color image. Amur cork tree or turmeric dyed fabrics were shown as light and cute, safflower or gardenia dyed fabric shown as comfort, and onion dyed fabrics shown as mature and simple. Color image with specialty was significant difference in Preference and Revelation factor. Preference was appeared as amur cork tree>turmeric>gardenia>safflower>Japanese pagoda tree>onion.