• Journal of the Korean Society of Child Welfare
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• no.58
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• pp.47-76
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• 2017

This study aimed to examine how strictly child-related sexual crimes were sentenced in Korea. The target cases of the study included eight cases that were appealed to the Supreme Court between 2000 and 2015. The main findings of the assessment of the eight cases indicated that there were sentences with lower terms than laws regarding sexual crimes against children. While laws should be strictly applied to cases of sexual crimes against children, the level of penalty was found to be relatively generous compared to the applicable laws. In particular, the reason for the crimes, the lack of any history of sexual crimes by the perpetrator, the perpetrator's relationship with the child victim, forgiveness from the children, and regret of the perpetrator were found to reduce sentences. Comparatively, the exploitation of parent status, the accusation of the perpetrator, and the lack of mutual consent were factored in consideration of harsher sentences. The findings suggest that it is necessary to reexamine the levels of sentences related to sexual crimes against children.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2014.05a
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• pp.165-168
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• 2014

A Meta-analysis refers to a statistical literature synthesis method from the quantitative results of many known empirical studies. Recently, the convergence of knowledge-based society and information telecommunication technologies has a rapid impact on politics, economics and various fields. We conducted a meta-analysis and review of between perceived value, risk and behavioral intention on e-commerce researches. This study focused a total of 25 research papers that established causal relationships in between perceived value, risk and behavioral intention on e-commerce published in Korean academic journals during 2000 and 2014. The result of the meta-analysis might be summarized that the effect size in the path from the perceived value to the behavioral intention with the effect size 0.508. Also, it showed that the effect size in the path from perceived value to the behavioral intention with the effect size -0.251. Based on these findings, several theoretical and practical implications were suggested and discussed with the difference from previous researches.

• Journal of the Korean Society for Library and Information Science
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• v.56 no.1
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• pp.425-447
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• 2022

The purpose of this study is to introduce the Theory of Information Worlds which analyzes information behaviors in the social perspective. This study analyzed dissertations using the theory to provide the understanding of the theory and suggest theoretical implications. The theory was developed by Burnett and Jeager in 2008, and since then it was applied in 14 dissertations. Key concepts of the theory include social norms, social types, information value, information behavior, and boundaries. These concepts are intervened in the process of creation and control of behavior through interaction each other. Qualitative research was adopted in more research rather than quantitative research; especially interview and content analysis were applied. It is expected that the spectrum of information behavior research in Korea is broaden and deeper through this study.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.38B no.5
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• pp.368-376
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• 2013

The importance of application traffic identification is emphasized for the efficient network management with recent rapid development of internet. In this paper, we present the application traffic identification method using the behavior based signature to improve the previous limitations. The behavior based signature is made by combining the existing various traffic features, and uses the Inter-Flow unit that is combination of the first request packet of each flow. All signatures have 100% precision when measured the accuracy of 5 applications using at home and abroad to prove the feasibility of the proposed signature.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.8 no.5
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• pp.121-127
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• 2008

User needs in residential environment have very complicated and variety connection with others. u-home system for the near future is need to be combined acceptance of exist user needs as well as needs on new technology relating with u-Home. The study proposes a User Behavior Analysis Framework - UBAF for applying the user needs to the system more efficiently and developing the system by classifying patterns for the needs based on date of user behavior analysis. UBAF is a developing framework getting the basic idea of combining system modeling methods on SE and user modeling methods considering on HCI. It will be applicable to develop the system with core user behaviors by applying a standard way on u-Home. For example, the study transforms information into knowledge the system modeling and user modeling with analyzing a scenario for indoor temperature controlling on u-Home.

• Korean Security Journal
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• no.53
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• pp.37-59
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• 2017

This study aims to contribute to the early detection of occupational fraud in the Korean financial industry by analyzing fraud symptoms. Firstly, the definition, cause of occupational fraud, and fraud symptoms were discussed through literature review. Secondly, survey data were collected from the employees of the financial industry such as bank, insurance, and securities companies to conduct statistical analysis. The result of analysis showed that the symptoms of 'excessive stock investment' and 'unsettled life style' were statistically significant predictors of fraud detection experience. Plus, 'tips and complaints' were the most frequent method for detecting occupational fraud in the Korean financial industry. The financial institutions can minimize the loss of occupational fraud by early detection through educating their employees and vendors on these important symptoms of occupational fraud.

• Journal of Korea Game Society
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• v.15 no.4
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• pp.69-78
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• 2015

As the online game industry has been growing rapidly, more and more malicious activities to gain economic benefits have been reported as well. Game bot is one of the biggest problems in the online game industry. So we proposed a bot detection method based on the ERG theory of motivation for the first time. Most of the previous studies focused on behavior-based detection by monitoring patterns of the specific actions. In this paper, we applied the motivation theory to analyze user behaviors on a real game dataset. The result shows that normal users in the game followed the ERG theory of motivation in the same way as it works in real world. But in the case of game bots, the theory could not be applied because the game bot has specific reasons, unlike normal game users. We applied the ERG theory to users to distinguish game bot users from normal users. We detected the game bot with high accuracy of 99.78% by applying the theory.

• Knowledge Management Research
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• v.21 no.3
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• pp.67-87
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• 2020

Maintaining active users who repeatedly share high-quality knowledge is critical for the success of online Q&A sites. This study suggests two paths that lead to active users' continuous knowledge sharing: 1) elaborated decision process, represented by continuance intention, and 2) automated cognitive process, represented by past behavior. The direct and moderating effects of continuance intention and past behavior were verified by analyzing subjective intention data and objective behavior data of 333 active users of Naver Knowledge-iN. Using Cox proportional hazards regression and negative binomial regression, the influences of continuance intention and past behavior on two types of continuous knowledge sharing were examined. The results showed that only past behavior was significantly influential on knowledge sharing continuance and as to the frequency of knowledge sharing, both continuance intention and past behavior's influences were significant. It was also confirmed that past behavior negatively moderates continuance intention's effect on the frequency of knowledge sharing. In order to maintain active users' continuous knowledge sharing, it is important to habituate knowledge sharing through repetitive knowledge sharing behavior. And in order to increase the frequency of knowledge sharing, in addition to the habituation, appropriate benefits that can increase the continuance intention should be provided.

• Korean Journal of Social Welfare
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• v.63 no.1
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• pp.187-215
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• 2011

This study examined the longitudinal relationship between depressive symptoms and alcohol use based on the tension reduction hypothesis and the intoxication hypothesis considering for path of depressive symptoms on alcohol use and vice versa simultaneously. And this study examined the effect of psychosocial behavior factors (i.e. smoking level, self-esteem, satisfaction with family relationships, and satisfaction with social relationships) on depressive symptoms and alcohol use. Using the data on the Korea Welfare Panel Study for the 1st, 2nd, and 3rd years, this study were estimated using the Latent Growth Curve Model which is helpful for examining differences between the two. The results are as follows: the initial level of alcohol use had a positive impact on the rate of change in depressive symptoms, thereby supporting the intoxication hypothesis. Second, self-esteem and satisfaction with family relationships act as variables with the biggest effect on the initial level and the rate of change in depressive symptoms, whereas other psychosocial behavior factors such as smoking level and satisfaction with social relationship exert the largest influence over the initial level and the rate of change in alcohol use. This study has implications in that it clarified the confused relationship mechanism between alcohol use and depressive symptoms the two. Based on the finding of the study, political and practical implications were discussed.

• Journal of The Korean Association For Science Education
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• v.39 no.1
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• pp.101-113
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• 2019

This study aims to explore which aspects of student agency have previously been studied and the ways agent practices have been investigated in learning communities in research on science education. Results reveal five aspects of agency related to students' actions in a learning community: epistemic agency, transformative agency, educated action in science, disciplinary agency, and material agency. We delineated how agency is captured in epistemic practices, as described in the literature on each of the aforementioned aspects. We also probed into the three approaches by which previous research has examined the practices of students as agents that construct learning communities. These approaches are (a) the investigation of students' actions as representative of the agency of an entire learning community, (b) the exploration of the effects of focused student action on the structure of activity, and (c) the investigation of interactions between students as agents. We discussed the implications of previous research on the basis of each approach to understanding the diverse features of student-centered learning communities. The present work contributes to the exploration and support of students' practices as agents in the learning communities in science classrooms.