• The Journal of Society for e-Business Studies
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• v.27 no.2
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• pp.193-204
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• 2022

Smart card data is representative mobility data and can be used for policy development by analyzing public transportation usage behavior. This paper deals with the problem of classifying metro stations using metro usage patterns as one of these studies. Since the previous papers dealing with clustering of metro stations only considered traffic among usage behaviors, this paper proposes clustering considering traffic time as one of the complementary methods. Passengers at each station were classified into passengers arriving at work time, arriving at quitting time, leaving at work time, and leaving at quitting time, and then the estimated shape parameter was defined as the characteristic value of the station by modeling each transit time to Weibull distribution. And the characteristic vectors were clustered using the K-means clustering technique. As a result of the experiment, it was observed that station clustering considering pass time is not only similar to the clustering results of previous studies, but also enables more granular clustering.

• Journal of Digital Convergence
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• v.13 no.10
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• pp.471-482
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• 2015

This study aimed to demonstrate the complex and structural relationships between (a) the purposes of using mobile phones, and (b) the levels of mobile phone dependency and depressive symptoms among elementary school students. We analyzed data from the 3rd Korean Children and Youth Panel Survey using structural modeling. Results showed the level of mobile phone usage for contacting family members negatively affected the mobile phone dependency. However, the levels of mobile phone usage for contacting friends and personal entertainment positively influenced the mobile phone dependency. Mobile phone dependency positively affected depressive symptoms. Mobile phone dependency partially mediated the relationship between the level of mobile phone usage for contacting family members and depressive symptoms. Mobile phone dependency fully mediated two relationships: (1) between the level of mobile phone usage for contacting friends and depressive symptoms and (2) between the level of mobile phone usage for personal entertainment and depressive symptoms.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.39 no.5
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• pp.637-645
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• 2019

Global warming and a new energy policy request the energy saving and pollutant emission control in municipal level. Previous studies focus on transportation in the Seoul metropolitan area which can easily meet the policy goal by reducing it. This study expands the area of urban energy planning to the industries and land use which takes up most of energy use of the city. We empirically study the Busan metropolitan area's 5 years natural gas and electricity consumption data by the industries and land use. Results show that energy usage significantly depends on not only population but also urbanizing intensity and industrial category. This paper address that the policy maker need to pay attention on energy usage pattern of each sectors during the planning.

• The Journal of Industrial Distribution & Business
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• v.13 no.5
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• pp.1-14
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• 2022

Purpose: This study investigated the legal issues and policies on accommodation sharing based on qualitative research and examined how OECD societies establish laws and regulations to legalize accommodation sharing and prevent adverse effects. The purpose of this study is to contribute to the understanding of the different laws and regulations at both the country and city levels and to help better manage accommodation sharing in our society. The ultimate goal of this study is to enhance citizen understanding of platform businesses to minimize unnecessary conflicts. Research design, data and methodology: This study conducted a qualitative research by exploring laws and regulations in OECD countries. This study performed comparative analysis of accommodation sharing business' legislation, legal definitions, and operational policies that citizens should necessarily understand for better usage. Results: Local ordinances and regulations developed differently based on the situations of local markets and communities, so they are established and improved at the city or country level. Conclusions: Each government should consider preparing better policy on accommodation sharing by considering how to secure the housing market for residents with better establishment of new platform businesses and relationships with citizens. This study suggests policy reactions to government as policymakers, guests, hosts, platforms, and communities.

• Women's Health Nursing
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• v.15 no.1
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• pp.13-23
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• 2009

Purpose: There is increasing necessity of using cord blood cell worldwide. In order to improve the effectiveness of cord blood's usage in Korea, the study of knowledge and attitude regarding cord blood is needed. Method: As descriptive correlation study, data was collected from 212 early postpartum women who stored or donated cord blood from 2007 April to July. Data was analyzed using $X^2$-test, t-test, ANOVA, and logistic regression. Result: Total score of knowledge and attitude of early postpartum women who donated cord blood was higher than who stored. According to the source of education and the source of influence toward decision of using cord blood, early postpartum women who educated or influenced by mass media showed difference in attitude. Job status and income, and attitude of cord blood were the predictor of cord blood donation. Conclusion: Attitude regard to cord blood affect to usage of cord blood, and the attitude and knowledge of cord blood in early postpartum women who donated it higher than who stored.

• Journal of Periodontal and Implant Science
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• v.48 no.1
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• pp.3-11
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• 2018

Purpose: This study utilized a strong quasi-experimental design to test the hypothesis that the implementation of a policy to expand dental care services resulted in an increase in the usage of dental outpatient services. Methods: A total of 45,650,000 subjects with diagnoses of gingivitis or advanced periodontitis who received dental scaling were selected and examined, utilizing National Health Insurance claims data from July 2010 through November 2015. We performed a segmented regression analysis of the interrupted time-series to analyze the time-series trend in dental costs before and after the policy implementation, and assessed immediate changes in dental costs. Results: After the policy change was implemented, a statistically significant 18% increase occurred in the observed total dental cost per patient, after adjustment for age, sex, and residence area. In addition, the dental costs of outpatient gingivitis treatment increased immediately by almost 47%, compared with a 15% increase in treatment costs for advanced periodontitis outpatients. This policy effect appears to be sustainable. Conclusions: The introduction of the new policy positively impacted the immediate and long-term outpatient utilization of dental scaling treatment in South Korea. While the policy was intended to entice patients to prevent periodontal disease, thus benefiting the insurance system, our results showed that the policy also increased treatment accessibility for potential periodontal disease patients and may improve long-term periodontal health in the South Korean population.

• Journal of Digital Convergence
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• v.14 no.7
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• pp.21-27
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• 2016

Big Data is gathering all the attention from every business community. Pervasive use of machine-to-machine (M2M) applications and mobile devices bring an explosion of data. By analyzing this data, the private and public sectors can benefit in the areas of cost reduction and productivity. The Korean government is actively pursuing Big Data initiatives to promote its usage. This paper aims to select industries which fit for the development of Big Data with a verification of the experts. The analytic hierarchy process (AHP) is applied to systematically derive the opinion of more than 50 professionals. Medical / welfare, transportation / warehousing, information and communications / information security, energy, the financial sector have been identified as promising industries. The results can be utilized in developing Big Data best practices thus contributing industrial development.

• Journal of Digital Convergence
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• v.20 no.5
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• pp.525-535
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• 2022

The purpose of this study is to identify the factors influencing the user's continuous usage intention of computer games. A research model was developed which shows that the independent variables of value, expectation confirmation, perceived enjoyment affect user satisfaction and continuous usage intention. To test the six hypotheses, survey data were collected from 104 respondents, and hypotheses tests as well as a confirmatory factor analysis were conducted using a partial least square analysis tool. The statistical analysis result showed that expectation confirmation had a significant positive effect on satisfaction, and satisfaction also had a strong positive effect on the game user's continuous usage intention. Perceived enjoyment showed a highly strong positive effect on satisfaction. In addition, satisfaction was found to have full mediation effects in the relationship between expectation confirmation and continuous usage intention, and perceived enjoyment and continuous usage intention respectively. This result provides an important implication that continuous usage intention occurs through user satisfaction, and also indicates the contribution of this study for the game industry. Another contribution of this study is to introduce critical independent variables from the marketing and information technology domains in order to explain continuous usage intention of computer games.

• International Journal of Computer Science & Network Security
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• v.21 no.12spc
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• pp.579-585
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• 2021

This study aims to provide an in-depth description of the practices of social media users in the Kingdom of Saudi Arabia (KSA)-specifically the users of Facebook and Snapchat-and the reasons for these practices, the decisions made, and the people involved. Qualitative methods were used to collect data in two rounds from 53 participants. The data analysis shows a clear preference for Snapchat over Facebook among the participants, as shown in their using the application many times daily and in the creation and use of new words derived from the application's name. On the other hand, one of the main reasons mentioned by the participants for not preferring Facebook was the unclear policy of security and privacy used in the application. This reason is important for all social media users, but, in particular, it is crucial for female users, as shown in the data. This is important for the designers and policymakers of the social media applications to understand and consider, as it would help them improve the current applications and create new ones.

• Educational Technology International
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• v.17 no.2
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• pp.175-202
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• 2016

Most of the learning analytics research has investigated how quantitative data can affect learning. The information that is provided to learners has been determined by teachers and researchers based on reviews of the previous literature. However, there have been few studies on standard learning activities that are performed in e-learning environments independent of the teaching methods or on learning behavior data that are obtained through learning analytics. This study aims to explore the general learning activities and learning behaviors that can be used in the analysis of learning data. Learning activities and learning behavior are defined in conjunction with the concept of learning analytics to identify the differences between teachers' and learners' learning activities. Learning activities and learning behavior were verified by an expert panel review in an e-learning environment. The differences between instructors and learners in their usage were analyzed using a survey method. As results, 8 learning activities and 29 learning behaviors were validated. The Research has shown that instructors' degree of utilization is higher than that of the learners.