• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.18 no.2
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• pp.12-28
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• 2019

Road geometry is one of the many factors that cause crashes, but the effect on traffic accident depends on weather conditions even under the same road geometry. This study identifies the variables affecting the crash severity by matching the highway accident data and weather data for 14 years from 2001 to 2014. A hierarchical ordered Logit model is used to reflect the effects of road geometry and weather condition interactions on crash severity, as well as the correlation between individual crashes in a region. Among the hierarchical models, we apply a random intercept model including interaction variables between road geometry and weather condition and a random coefficient model including regional weather characteristics as upper-level variables. As a result, it is confirmed that the effects of toll, ramp, downhill slope of 3% or more, and concrete barrier on the crash severity vary depending on weather conditions. It also shows that the combined effects of road geometry and weather conditions may not be linear depending on rainfall or snowfall levels. Finally, we suggest safety improvement measures based on the results of this study, which are expected to reduce the severity of traffic accidents in the future.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.19 no.11
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• pp.78-87
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• 2018

This study constructed a structural model and examined the fit and significance of the model to identify the influencing factors on the organizational commitment of ROTC cadets. The subjects of this study were 209 male students in grades 3 and 4 ROTC cadets of eight universities located in D, P, and G cities. Data were collected from April 13 to May 29, 2018. The data collected were analyzed by SPSS / WIN 20.0 and AMOS 21.0 programs. A positive correlation was observed between the ROTC instructor's leadership, self-efficacy, job satisfaction, and organizational commitment. Six of the six pathways of the hypothetical structural model were statistically significant. The hypothetical model showed a good fit for the data. The model fit indices were ${\chi}^2/df=1.51$, GFI=.98, AGFI=.90, NFI=0.98, NFI=.97, RMR=.02, RMSEA=.05, and TLI=.98. The ROTC Instructor's leadership and self-efficacy had direct and indirect effects on the organizational commitment. Job satisfaction had the strongest direct influence on organizational commitment. This model explained 73% of the variance in organizational commitment. Therefore, it is necessary to develop an effective education and intervention program that can enhance the ROTC instructor's leadership, self-efficacy, and job satisfaction to increase the organizational commitment of the ROTC cadets.

• Information Systems Review
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• v.20 no.1
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• pp.41-59
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• 2018

This study analyzed the factors that affect acceptance of online direct marketing in agricultural companies. Empirical analysis was conducted using the research model based on the individual's technology acceptance model (TAM) and the information technology adoption models in organizations. These models have four dimensions: 1) technology characteristics, which include perceived usefulness and perceived ease of use of TAM 2) CEO characteristics, which including the innovativeness and IT capability of CEOs; 3) organizational readiness, which include financial, technological, and human resources capabilities and 4) environment and external pressure, which include government support and changes to the Internet environment. These concepts were empirically tested. A total of 209 valid data were collected through questionnaires and analyzed using confirmatory factor analysis and path analysis through the application of structural equation modeling. Results show that perceived usefulness, IT capability of CEOs, and changes to the Internet environment have significant effects on the adoption intention of online direct marketing. However, perceived ease of use, CEO innovativeness, government support, and the variables of organizational readiness dimension did not have significant effects on adoption intention. This study suggests practical implications for adoption of online direct marketing in agricultural companies.

• Journal of Preventive Medicine and Public Health
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• v.26 no.4 s.44
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• pp.599-613
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• 1993

To study the pattern of prenatal care utilization and its determinants in rural Korea, 976 mothers (65.5%) out of 1,489 living mothers in Chinyang, Sachon and Hapchon Counties in Kyongsangnam Province who had delivered a baby between July 1, 1990 and June 30, 1991 were interviewed by the Myon health workers from January 3 through February 15, 1992. The Anderson's behavioral model for health service utilization was applied to develop the frames for analysis. The dependent variable was a number of prenatal care visits. And the independent variables included In the model were the variables pertaining to the predisposing, enabling, medical need and other components. The proportion of mother who had ever received the prenatal care service for the index pregnancy was 97.3%. However, the proportion of mothers who had made more than 10 visits was only 20.6%, which indicated that majority of mothers had paid far less visits than recommended $10{\sim}12$ visits for each normal pregnancy. The low utilization of prenatal care services (none or less than 4 visits) was related to mother's low educational level, the high birth order, beneficiary of the medical aid, the absence of clinic in the community, no diagnosed disease of mother during pregnancy, and mothers engaged in farming. Inequity of access seemed to exist because social structure variables and the variables of enabling component were important predictors. And there seemed to be high mutability in equalizing the distribution of prenatal care services because the variables of enabling component such as type of medical security and whether there was a clinic or not in the community were substantially important.

• Journal of Korean Society of Transportation
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• v.26 no.1
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• pp.37-49
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• 2008

In general, most of the firms do not settle down in one place for their pursuit of profit. There are many reasons for the relocation of the firms; procurement of raw material, market area, transportation cost and housing cost. The aspect of national policy, firm relocation has been systemically promoted for the purpose of logistics system efficiency. Nowadays balanced regional development has been issue. Another aspect, many countries have struggled for the preoccupancy of new place because of its production cost saving and curtailment of expenditure. The aim of this article is qualitative and quantitative analysis of relocation influence factors of domestic goods firms in Korea. This article dynamically analyzed the relocation influence factors for domestic goods firms in Korea. For the analysis this article made use of complementary survey (2006) out of the 3rd national logistics survey (2005). The complementary survey conducted pre-business district, business period, relocation reason, etc. This article dynamically analyzed from the three aspects; observation of average residence time in one business district, relocation factors, influence of market area. Analysis shows that relocation of firm is very high rate and the reasons of relocation play compositeness role. The results of determinants of location, firms approach the established market area closely and the firm's relocation is influenced by market area.

• Journal of Korea Technology Innovation Society
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• v.15 no.3
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• pp.481-499
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• 2012

This paper shows a empirical results by adopting Kauffman' NK model. First, we find interdependence parameter K is nine in the technological ecosystem Landscape. According to principal component analysis, our technological ecosystem landscape is based on K=N-1 technology structure. Second, to Kauffman NK model, our technological ecosystem landscape is completely uncorrelated each other and contains a large number of local optima. As additional technology rises, the number of local optima rises rapidly. Our results mean that the more complexity in the technological ecosystem landscape, the less effective technology innovation will be in our country's technology system.

• Journal of the Korean Society for Library and Information Science
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• v.44 no.4
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• pp.303-331
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• 2010

With the full execution of the Comprehensive Library Advancement Plan(2009~2013), related bodies and participants, including national administrative agencies and local government, are increasing and the policy environments are intricately being expanded as well. However, there has been insufficient research on the general aspects of library policies to analyze and evaluate the current circumstances. The objective of this study is to analyze both the problems and suggestions in the areas that need improvements implementing this comprehensive plan. Accordingly, we designed a formative model for evaluating the policy process relating to the comprehensive plan, and then modified and supplemented the developed plan based on the Delphi method utilized by library policy experts. We conducted an empirical evaluation of library policy officials who have established and implemented the comprehensive plan. We then used the evaluation results to assess the effects of the factors regarding the accomplishments reached each policy stage.

• Journal of Korean Society of Transportation
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• v.29 no.1
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• pp.57-67
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• 2011

This study has been conducted to provide the basic materials about the occurrence structures, causes and choice of treatments of the traffic accident offenders' PTSD(Posttraumatic Stress Disorder). The results of this study can be summarized as follows. First, accident offenders', not victims', PTSD conditions, which has been only estimated until now, are measured by nationwide questioning survey. Second, accident offenders' changes of driving attitude after accidents could be typed by factors analysis in the 20 driving situations closely connected to the occurrence of traffic accidents. Third, by the t-test, the difference of driving attitudes in primary driving situations according to existence of PTSD is distinguished. Six driving situations, which are found significant by t-test, are applied to structural equation. So the variables related to PTSD and the models which analyze the attitude changes of driving are constructed. This study provides the basic materials to help the reduction and prevention of the occurrence of PTSD.

• The Journal of the Korea Contents Association
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• v.15 no.5
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• pp.475-487
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• 2015

This study measures the managerial efficiency of Korea's 14 public enterprises using bootstrap DEA in 2013. In addition, it examines the factors that affect on the bootstrap bias-corrected efficiency using truncated regression analysis. The results and implications of this study are as follows. First, using bootstrap DEA model analysis, the results showed that the mean technical efficiency was 0.3182, the mean pure technical efficiency was 0.4994 and the mean scale efficiency was 0.6585. The main cause of technical inefficiency was due to pure technical inefficiency. Second, rank test between technical efficiency of general DEA model and bootstrap DEA model was no significant difference under CRS and VRS assumption. Third, the main cause of the inefficiency in 11 DMUs among 14 DMUs were mainly due to the pure technology and three DMUs were because of the scale efficiency. Finally, in the truncated regression analysis, cost of labor, profit, sales, return of equity, and the number of employees appeared as factors affecting the scale efficiency at the 10% significance level.

• Korea Real Estate Review
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• v.28 no.3
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• pp.65-77
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• 2018

The purpose of this study is to analyze the effect of the educational environment on the prices of studio apartments, known as officetels, in Korea. Since the revision of relevant laws in 2010, they have served as substitutes for residential purposes in areas suffering from housing shortage, especially where the educational environment is a significant factor. To assess the relation between the educational environment and rental rates, the hedonic price model and artificial neural networks were implemented. The national assessment of the academic performance of middle and high schools that were closest to each officetel, and the ratio of students going to special-purpose schools and private high schools were considered as independent variables. Research findings indicated that the positive effect of the dependent variable increased as the value of educational environment-related variables increased. This result could be utilized as a functional index for housing providers after considering educational environments.