• Informatization Policy
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• v.28 no.3
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• pp.23-48
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• 2021

ICT technology development has led to a breakthrough change in government decision making by improving mutual communication between various stakeholders. The formation of ICT-based cooperation network between public organizations and civic tech developers to solve the problem of masks in the COVID-19 pandemic serves as a milestone. The purpose of this study is to examine the properties of e-Governance and analyze the dynamic network structure of the communication process for chat rooms created during the development of public mask apps. First, as a result of the analysis, the possibility of online-based e-Governance can be identified. In addition, the combination of expertise to solve social problems interacted organically within the network. Emotional communication for cooperation between key actors was marked as important for the successful operation of the network.

• Journal of Convergence for Information Technology
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• v.11 no.10
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• pp.101-114
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• 2021

This study aimed to analyze the degree of consumers' expectations for their performance and efforts in using overseas direct purchase, impact of overseas direct purchase on the society, and effect of price value to their intention to use overseas direct purchase in the future. In addition, the significance of overseas direct purchase on the user-perceived availability is empirically analyzed. As a result of the study, it was confirmed that performance expectancy, effort expectancy, social influence, and price value showed significantly positive effect on the intention to use overseas direct purchase in the future. With respect to the perceived availability in using overseas direct purchase, it was found out that effort expectancy and price value had significantly positive effect; however, it appeared that performance expectancy and social influence had no significant effect on the perceived availability of the users.

• Journal of the Korea Society of Computer and Information
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• v.26 no.12
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• pp.123-132
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• 2021

Malicious activities of Botnets are responsible for huge financial losses to Internet Service Providers, companies, governments and even home users. In this paper, we try to confirm the possibility of detecting botnet traffic by applying the deep learning model Convolutional Neural Network (CNN) using the CTU-13 botnet traffic dataset. In particular, we classify three classes, such as the C&C traffic between bots and C&C servers to detect C&C servers, traffic generated by bots other than C&C communication to detect bots, and normal traffic. Performance metrics were presented by accuracy, precision, recall, and F1 score on classifying both known and unknown botnet traffic. Moreover, we propose a stackable botnet detection system that can load modules for each botnet type considering scalability and operability on the real field.

• Journal of Convergence for Information Technology
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• v.9 no.2
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• pp.165-171
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• 2019

The purpose of this study was to analyse a causal relationship between collective emotion and behavior to sport issues in SNS. For the purpose, 5 sports issues with obvious collective behavior and 5 concerned articles in typical portal sites were selected. From those, each 100 comments with highest recommendation and 5 obvious actions made by the crowd were sampled as the analysis subjects. The results of statistical analyses on collective emotion and behavior materials were as follows. First, collective emotions showed differences by the sports issues. Second, there was a significant causal relationship between collective emotion and behavior in SNS. This study could receive a favorable evaluation due to the statistical analysis on a causal relationship between collective emotion and behavior.

• The Journal of the Korea Contents Association
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• v.19 no.3
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• pp.171-182
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• 2019

As online shopping malls continue to grow in popularity, various chances of consumption are provided to customers. Customers decide the purchase by exploiting information provided by shopping malls such as the reviews of actual purchasing users, the detailed information of items, and so on. It is required to provide objective and reliable information because customers have to decide on their own whether the massive information is credible. In this paper, we propose a personalized recommendation method considering an item confidence to recommend reliable items. The proposed method determines user preferences based on various behaviors for personalized recommendation. We also propose an user preference measurement that considers time weights to apply the latest propensity to consume. Finally, we predict the preference score of items that have not been used or purchased before, and we recommend items that have highest scores in terms of both the predicted preference score and the item confidence score.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2014.10a
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• pp.259-263
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• 2014

In the ICT field, one among the remarkable issue of in 2014 is the "Wear computer", that is, the opening of "Wearable Device" age. The Samsung galaxy gear and products like Google glass and Apple watch are done as the wearable device. According to the definition of MIT Media Lab, the wearable device adheres to the body and is included till the application which names all things doing the computing action and can perform the partial computing function. And the wearable device is one brain. If the wearable device is popularized, it will be changed many things. First of all, 2 hands become free. My body is due to be connected to 24 hours Internet. It is not level that it adheres the Smart phone or device to the body and the brain role in which the device is connected outside directly, the human body is done. In this paper, the related companies analyze the technical elements of this wearable device especially.

• The Journal of the Korea Contents Association
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• v.19 no.9
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• pp.162-180
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• 2019

This study examined the effects of value-in-behavior toward pro-social consumption behavior on consumers' pro-social practices and the moderating effects of consumer's social capital based on trust and reciprocity that enhances collective actions to seek socially common values. The result showed that the value-in-behavior toward pro-social consumption was positive in general, and altruistic value was the highest, followed by emotional value, social value, and functional value. The pro-social behaviors of age groups were significantly different. In all pro-social behaviors, the older group was more active, except for the rejection of the unfair business. The result also showed that the functional value and emotional value have significant effects on consumer's pro-social practices. The interaction effects between trust and emotional value and between reciprocity and functional value were significant. Based on these results, the theoretical and practical implications for facilitating the transition to the direction of consumer's role in making positive social impacts.

• Journal of Convergence for Information Technology
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• v.9 no.6
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• pp.65-74
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• 2019

The purpose of this study is to reveal the causal relationship between core categories experienced by firefighters in the organization based on the grounded theory as a method of qualitative research. In this study, we interviewed 50 firefighter information providers who work in Seoul in 2014, 2017, and 2018, and conducted a research model that shows the causal relationship of core categories through open coding, axial coding, and selective coding. As a result, compassion experienced by information providers is revealed as a core category, and this compassion has a positive effect on positive work related identity, collective self esteem, and job performance. Therefore, the theoretical implication of this study is that it has derived a research model that shows the causal relationship between compassion and job performance based on grounded theory as a qualitative research methodology. This study will contribute to the formation of the organizational culture that enables firefighters who desperately need compassion in the fire department organization to more actively exchange compassionate actions.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.25 no.2
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• pp.228-233
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• 2021

As the number of successful design innovation product cases in business increases, interest in design innovation is increasing. This study aims to examine how the design innovation (functionality, ergonomics, aesthetics) of Bluetooth speaker products affects the customer's preference and purchase intention. It proposes a research model through rational behavior theory (TRA) and technology acceptance model (TAM) for empirical research. The questionnaire was composed of questions to understand the influence of design innovation, favorability, and purchase intention. As a result of the study, functionality, ergonomics, and aesthetics influenced product preference and purchase intention. In order for the innovative product of Bluetooth speaker design to be accepted in the early market, it is most important to form a positive attitude toward favorability centering on function and aesthetics. Favorability is a factor that has the most decisive influence on the purchase intention of design innovation products, and companies must discover and reinforce various factors that positively affect the preference.

• The Journal of the Korea Contents Association
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• v.22 no.3
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• pp.488-499
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• 2022

This study analyze the relationship between S&T policy and the R&D performance plans of GRIs which lack relevant research through quantitative information analysis. KISTI which is focused on the case is an ICT-based GRI that is sensitive to changes in the internal and external environment, and the impact of government S&T policy changes on KISTI's R&D performance plans was analyzed in depth.