• The Journal of Society for e-Business Studies
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• v.25 no.4
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• pp.125-141
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• 2020

Recent Studies emphasize the effect of investors attention, recognition and sentiment on the trading behavior of retail investors and stock price variation. In this study, we use Naver Trend to measure investors'attention and investigate the relation between investor attention and price synchronicity, total risk and systematic risk of stocks. Using various research methodologies such as portfolio analysis, fixed effect regression and dynamic panel analysis, we find consistent results. First, stock price synchronicity is increased with lager average search volume, but with less search variability. Second, both average search volume and its variability are positively related to total risk and beta of stocks. These results can be interpreted that search volume sharply increases only when stock-related event occurs.

• Journal of Korean Society of Archives and Records Management
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• v.14 no.2
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• pp.83-115
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• 2014

The study aims to identify the problems of the research support service in presidential archives for users who use archives for scholarly purposes. For these purposes, the study conducted a literature survey. Moreover, this study compared and analyzed the content of presidential archives' Web sites between the U.S. and Korea. In addition, we examined the interviews via e-mail with an archivist working in the presidential archives in the U.S. and gained the materials from the presidential archives in Korea through a request of information disclosure. It was found that six improvements were considered by academic users to meet their needs. Consequently, based on the analysis, a research support services framework consisting of a service category was developed. With the proposed services, the academic utilization of presidential archives can be facilitated.

• Journal of Korean Society of Transportation
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• v.19 no.6
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• pp.65-73
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• 2001

Until recently, we use only weekly and monthly adjustment factors in order to estimate the AADT. By the way. we can suppose that the traffic is time series data related to flow of time. So we tried to analyse traffic patterns using time series analysis and apply them to estimate the AADT. We could divide traffic patterns into trend, cyclic variation, seasonal variation and irregular variation like as time series data. Also, in order to reduce random error components, we have looked for the weather conditions as an influential factor. There are many weather conditions such as rainfalls, but, temperatures, and sunshine hours among others but we selected rainfalls and lowest temperatures. And then, we have estimated the AADT using time series factors. To compare the results of, we have applied both irregular variation joined to weather factors and that not joined to. RMSE and U-test were opted at methods to appreciate results of AADT estimation.

• Journal of Korean Society of Transportation
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• v.26 no.4
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• pp.87-97
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• 2008

The traditional trip-based modeling approach has assumed that a trip is generated for a purpose. However, the approach has not considered trips as a set of connected trips nor has it considered trip chaining. The purpose of this study is to identify general characteristics of trip chaining, and to explore relationships between trip purposes and trip chains using multivariate regression models. The data for this study come from the 2006 Seoul household travel diary survey. It is found that simple trip chains are dominant phenomena, and socio-economic characteristics such as occupation, income, age, and gender are closely related to types of trip chains. People aged less than 20, females, or high-income people are more likely to have a higher number of home-based trip chains. In addition, commute and school trips for workers and students respectively tend to be strongly associated with simple trip chains, while shopping and leisure trips for housewives tend to be related to simple trip chains.

• Journal of Korean Society of Transportation
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• v.30 no.2
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• pp.53-65
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• 2012

This study was performed to investigate the currents status of the sexual assaults on women public transportation users and to provide solutions in order to provide safe transportation services to women. Data was collected through in-depth interviews with career women in Gyeonggi-do. The main purpose of the interview was to understand their experiences about sexual assaults while using public transport and to investigate the extent to which their experiences affected their transportation-related behaviors. The effects of various related transport policies on women behaviors were also analyzed by estimating structural equation models. The results showed that among them, CCTV, accessible warning bells, and more police presence seemed to be more effective, but that woman-only sections were not as effective as others in reducing the number of crimes. The results implied that individual subjective norms and their perceived behavioral control, behavior intention were important factors. Based on these results, we recommended additional policies more effective in sexual crime reduction.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.12 no.9
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• pp.3827-3833
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• 2011

This paper performed empirical tests of the validity of the pecking order theory which explains financing behavior of firms under information asymmetry. The results of regression analyses using the data of listed manufacturing companies in the Korean Stock Market from 1981 to 2010 have shown strong evidences supporting the pecking order theory. Especially regression coefficients of change of debt on funds deficit and control variables were found to be almost (+1) with statistically significance, which is interpreted as being consistent with the pecking order theory. Same results were found when I performed regression analyses by dividing the sample period into pre-currency crisis period, currency crisis period and post-currency crisis period and using 2 regression models. Change of tangible asset were found to function as collateral rather than reducing information asymmetry and as the firm size decreased, use of debt increased and as profitability increased use of debt decreased, which are consistent with the pecking order theory.

• Journal of Climate Change Research
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• v.7 no.1
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• pp.85-93
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• 2016

This study the efficiency of greenhouse gas reduction of 'low carbon car collaboration fund' and its alternative 'control of average fuel efficiency and greenhouse gas', and 'improving driving behavior' were analyzed by using LEAP, long term energy analysis model. Total 4 scenarios were set, baseline scenario, without energy-saving activity, 'low carbon car collaboration fund' scenario, 'fuel efficiency improving scenario', and 'improving driving behavior' scenario. The contents of analysis were forecast of energy demand by scenario and application as well as reduction of greenhouse gas emission volume, and the period taken for analysis was every 1 year during 2015~2030. Baseline scenario, greenhouse gas emission volume in 2015 would be 7,935,697 M/T and 13,081,986 M/T in 2030, increased 64.8%. The analysis result was average annual increase rate of 3.4%. The expected average annual increase rate of other scenarios was, 'low carbon car collaboration fund' scenario 1.7%, 'fuel efficiency improving' scenario 3.0%. and 'improving driving behavior' scenario 3.4%. and these were each 1.7%, 0.3%. 0.3% reduce from baseline scenario. The largest reduction was 'low carbon car collaboration fund' scenario, and there after were 'fuel efficiency improving scenario', and 'improving driving behavior' scenario.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.20 no.3
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• pp.447-454
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• 2019

The purpose of this study aims to be used as base data of a policy which forms university students' appropriate behavior for the prevention of infection by analyzing some university students' prevention awareness of new type of infection. A self-administered questionnaire survey about students' seriousness, sensitivity, self-efficacy, and prevention behavior intent of new infection, was conducted in an university located in Gyeonbuk from April. 30th to May. 11th, 2018. Analyzing factors which affect the prevention behavior intent of infection with controlled general factor and health behavior, the prevention behavior intent was increased by ${\beta}=.125$ as seriousness increases and ${\beta}=.709$ as self-efficacy increases in Model 2, final model. However, sensitivity has no significant effect on the prevention behavior intent. Originally sensitivity has to be a significant factor regarding to the prevention behavior intent of new infection. But the result that sensitivity has no influence at all, shows that the students are insensitive to new diseases as they don't fear or sense danger of new infection. Therefore, a disease control policy which helps to increase sensitivity has to be established.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.20 no.4
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• pp.13-27
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• 2021

In this study, the impact of traffic flow on the market penetration rate of autonomous vehicles(AV) was analyzed using the data for the year 2020 of the Yongin IC~Yangji IC section of Yeongdong Expressway. For this analysis, a microscopic traffic simulation model VISSIM was utilized. To construct the longitudinal control of the AV, the Intelligent Driver Model(IDM) was built and applied, and the driving behavior was verified by comparison with a normal vehicle. An examination of the study results of mobility and safety according to the market penetration rate of the AV, showed that the network's mobility improves as the market penetration rate increases. However, from the point of view of safety, the network becomes unstable when normal vehicles and AVs are mixed, so there should be a focus on traffic management for ensuring safety in mixed traffic situations.

• Journal of Digital Convergence
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• v.17 no.10
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• pp.177-186
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• 2019

The purpose of this study is to enhance the understanding of consumer experience and behavior of Internet of Things (IoT) services and to provide practical implications through investigating the impact of benefits-cost factors and network externalities on consumers' adoption intention of IoT services. An online survey was conducted on general consumers in their 20s to 60s who were aware of the IoT services and 328 data were collected. Using SPSS 24.0, frequency analysis, correlation analysis, factor analysis, and hierarchical regression analysis were conducted. As a result, the level of consumers' IoT service experience in various contexts was examined, and entertainment, informativeness, loss of humanity, compatibility, and complementarity were found to have a significant effect on consumers' adoption intention of IoT services. This study suggests that strengthening network externality effects by increasing compatibility and complementarity is important in promoting consumers' adoption of IoT services. In future studies, it is necessary to adopt specific Internet of Things services to verify the validity of the models developed in this study.