• Journal of Convergence for Information Technology
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• v.10 no.12
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• pp.91-99
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• 2020

The aim of this study to assess the effect of information security policy awareness, information security involvement, compliance behavioral intention on information security behavior The research method is composed of a cross-sectional design of reward and fairness. This paper focuses on the process of organizational policy on the information security compliance intention in the individual decision-making process. As a result, the reward had a significant effect on compliance behavioral intention, and it was found that influence of the psychological reward-based condition was greater than the material reward-based condition. The fairness had a significant effect on information security policy awareness, information security involvement, information security behavior, and it was found that influence of the equity-based condition was greater than the equality-based condition. The exploration model was verified as a multiple mediation model. In addition, the discussion presented the necessary research direction from the perspective of synergy by the cultural environment of individuals and organizations.

• Knowledge Management Research
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• v.22 no.1
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• pp.139-154
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• 2021

As environmental impacts on business management rapidly rise, the importance of resilience has been emphasized ever. Resilience can be defined as the capability to quickly return to daily operational levels after external shocks. Thus, we suggest and empirically verify a conceptual model using enterprise-level resilience in knowledge management. Based on previous studies, sub-components of resilience have been distinguished into R4(i.e., Robustness, Redundancy, Resourcefulness, and Rapidity) and the internal and external knowledge management activities of companies have been identified as prior factors. Considering resilience as mediating variables, firms' knowledge management activities are assumed to affect a firms' performance. We collected data with the structured survey which had been developed from the stepwise approach to verify the structural model that leads to knowledge management activities, resilience, and performance. In further research, we request exploratory research on independent variables that can increase the firms' resilience and on dependent variables that would be influenced by the enterprise-level resilience.

• The Journal of the Korea Contents Association
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• v.21 no.4
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• pp.153-165
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• 2021

The purpose of this study is to find precedent factors that positively and negatively affect the information security compliance intention. In detail, the study finds precedent factors to reduce anxiety that negatively affects compliance intentions, and confirms that feedback moderates the negative relationship between anxiety and compliance intention. The questionnaire was targeted at office workers working in organizations with information security policies, and research hypothesis verification was conducted through structural equation modeling to analyze main effects and moderation effects. As a result of the study, anxiety had a negative effect on the compliance intention, and the organizational culture that was raised through management support reduced anxiety of employees. In addition, feedback mitigated the negative impact relationship between anxiety and compliance intention. The implications of this study were to suggest a direction to mitigate the anxiety of the employees of the organization through the introduction and operation of information security technology.

• The Journal of the Korea institute of electronic communication sciences
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• v.16 no.6
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• pp.1101-1112
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• 2021

Organizations continue to increase investment in information security(IS) policies and technologies to prevent external intrusion and internal exposure to information assets. However, as the organization's regulations and behavioral requirements for strict IS policy increase, employees may induce negative behaviors through IS-related stress. The purpose of this study is to suggest the effects of challenge and hindrance stressors on IS compliance intentions and to confirm how authentic leadership moderates the positive and negative effects of stressors. We reflected employees of the organization who are applying IS policy to their work as a study target and applied a survey to obtain a sample for research hypothesis verification. As a result of analysis through structural equation modeling, challenge and hindrance stressors affected IS compliance intentions, and authentic leadership moderated the effects of stressors on compliance intention. Our research helps to establish insiders support strategies to achieve internal IS goals, because the results suggested stressor conditions and leaders' behavioral directions that influence employees IS compliance behavior.

• Korean Journal of Construction Engineering and Management
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• v.23 no.2
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• pp.24-32
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• 2022

In Korea, the productivity of the construction industry is evaluated at a very low level, and the utilization of the elemental technology of the Fourth Industrial Revolution is also very low compared to other industries. In order to solve this problematic situation, it is necessary to identify the demand for technology improvement in the specialty construction industry that is directly in charge of construction in projects. Therefore, this study aims to investigate improving construction competitiveness and the demand for technology improvement in Korea's specialty construction industry. First, the concept and status of classification of the specialized construction industry were identified, and a questionnaire was organized. Second, a survey was conducted on experts construction experts, and the demand for technical improvement of the specialty construction industry was derived by applying AHP and cluster analysis. The results of this study will serve as a practical reference for policy development, R&D direction, and technology development roadmap to enhance construction competitiveness in the future, and ultimately will help to present directions to improve the construction competitiveness of the construction industry.

• Journal of the Korea Convergence Society
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• v.13 no.3
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• pp.33-41
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• 2022

In this article, we proposed to predict natural gas (NG) leakage levels through feature selection based on a factor analysis (FA) of the integrating the Korean Meteorological Agency data and natural gas leakage data for considering complex factors. The paper has been divided into three modules. First, we filled missing data based on the linear interpolation method on the integrated data set, and selected essential features using FA with OrdinalEncoder (OE)-based normalization. The dataset is labeled by K-means clustering. The final module uses four algorithms, K-nearest neighbors (KNN), decision tree (DT), random forest (RF), Naive Bayes (NB), to predict gas leakage levels. The proposed method is evaluated by the accuracy, area under the ROC curve (AUC), and mean standard error (MSE). The test results indicate that the OrdinalEncoder-Factor analysis (OE-F)-based classification method has improved successfully. Moreover, OE-F-based KNN (OE-F-KNN) showed the best performance by giving 95.20% accuracy, an AUC of 96.13%, and an MSE of 0.031.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.21 no.2
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• pp.132-151
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• 2022

Vehicle localization is one of the core technologies for autonomous driving. Image-based localization provides location information efficiently, and various related studies have been conducted. However, the image-based localization methods using feature points or lane information has a limitation that positioning accuracy may be greatly affected by road and driving environments. In this study, we propose a line segment matching framework for accurate vehicle localization. The proposed framework consists of four steps: line segment extraction, merging, overlap area detection, and MSLD-based segment matching. The proposed framework stably performed line segment matching at a sufficient level for vehicle positioning regardless of vehicle speed, driving method, and surrounding environment.

• Journal of the Korean BIBLIA Society for library and Information Science
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• v.32 no.4
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• pp.89-109
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• 2021

The purpose of this study is to provide background information for the improvement of e-Book service task in academic libraries through the task analysis of e-Book service librarians. The semi-structured interviews with 9 participants were analyzed using Activity Theory. The study results showed that participants have used various tools and interacted with diverse people to attain the goals of e-Book services. In addition, the division of labor and rules related to e-Book services were observable. However, there exist some problems in task performance, such as lack of budget, inconvenience of use due to unstandardized e-Book production, and disagreements of opinions. Furthermore, based on participants' responses, the ways of improvement of e-Book services in academic libraries were suggested in the aspects of content, system, and policy.

• The Journal of the Korea Contents Association
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• v.22 no.7
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• pp.548-562
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• 2022

This study was conducted to diagnose the issues of AI ethics in global content and to discuss what kind of discourse is needed to strengthen human identity. To this end, the study selected Netflix original content "The Social Dilemma" for analysis and adopted narrative analysis as the research method. The analysis results confirmed that "Social Dilemma" showed the structure of a traditional current affairs documentary and mainly used experts and statistical data to develop the story. It also reinforced core content claims by enumerating domestic and foreign cases such as the 2021 Myanmar massacre and the spread of fake news. In addition, the relationship between the characters clearly revealed the binary opposition between developers and media companies as well as users and advertisers. For the solution to the problem, strong regulations on businesses and the suspension of social media use were reached. However, "The Social Dilemma" merely pointed out the misuse of AI technology and had a narrative that ignored human identity and social relationships. Such results raise the need for creating contents that emphasize the importance of human sociality, relationships, and learning ability in the age of AI.

• Journal of Creative Information Culture
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• v.6 no.2
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• pp.89-99
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• 2020

The purpose of this study is to statistically analyze the correlation between unplugged activities using SW educational board games and computational thinking ability of elementary school students, and then find a method of SW education through the results. The study was conducted with 40 students in the 5th grade at an Elementary School in Incheon. Students participated at unplugged activities using a board game for SW education with 12 hours of teacher guidance and 10 hours of free activities. After that, a post-test was conducted to analyze the degree of improvement in computational thinking ability. As the results, it was confirmed that the comprehensive computational thinking ability was improved, and that the four areas of the sub-domains of computational thinking ability were improved to a significant level. These results suggest that providing a basic SW education experience by utilizing a board game for SW education helps to improve students' computational thinking ability.