• 한국벤처창업학회:학술대회논문집
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• 2010.08a
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• pp.163-191
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• 2010

본 연구에서는 조사대상자의 사업경력, 즉 사업운영경험이 있는지의 여부, 사업실패경험이 있는지, 현재 사업을 하고 있는지에 따라 사업 및 가족기업창업과 관련한 태도에 어떤 차이가 있는지를 조사하였다. 또한, 사업 및 가족창업 관련 태도에 영향을 미치는 변수는 어떤 것인지를 조사하였다. 본 연구의 결과를 정리 종합하면 다음과 같다. 첫째, 남성이 여성보다 사업운영경험, 사업실패경험이 많았고, 현재 사업을 운영할 가능성이 많았다. 사업을 운영한 경험이 있는 경우 그리고 사업을 운영하고 있는 경우 대학원 졸업자의 비중이 많아 사업자가 고학력자임을 알 수 있었고, 연령이 평균 45세로 비사업자보다 연령이 높았으며, 부모가 창업한 경험이 있는 경우가 많았다. 둘째, 사업운영경험이 있는 경우, 사업실패경험이 있는 경우, 현재 사업을 운영하는 경우 대체로 사업에 대해 긍정적인 태도를 갖고 있었고, 사업실패후처리 평가 시스템에 대해 부정적 태도를 보였으며, 사업실패두려움이나 사업실패위험에 대해 강하게 인지하고 있었고, 가족창업에 대해 적극적인 태도를 보는 것으로 나타났다. 셋째, 남성 그리고 사업경험이 있는 경우 사업에 대해 긍정적 태도를 가지고 있는 것으로 드러났다. 또한, 남성, 사업실패위험에 대해 강하게 인지할수록, 사업실패경험이 있는 경우 사업실패에 대해 더 두려워하고 있었다. 끝으로, 남성, 부모가 창업한 경험이 있는 경우, 사업운영경험이 있는 경우 가족창업의지가 적극적인 것으로 밝혀졌다.

• Journal of the Korean Association of Geographic Information Studies
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• v.15 no.2
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• pp.57-70
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• 2012

The aim of this study is to analyse the landslide susceptibility and the future hazard in Inje, Korea using probability rainfalls and artificial neural network (ANN) environment based on geographic information system (GIS). Data for rainfall probability, topography, and geology were collected, processed, and compiled in a spatial database using GIS. Deokjeok-ri that had experienced 694 landslides by Typhoon Ewinia in 2006 was selected for analysis and verification. The 50% of landslide data were randomly selected to use as training data while the other 50% being used for verification. The probability of landslides for target years (1 year, 3 years, 10 years, 50 years, and 100 years) was calculated assuming that landslides are triggered by 1-day rainfall of 202 mm or 3-day cumulative rainfalls of 449 mm.

• Journal of the Korean Geotechnical Society
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• v.30 no.12
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• pp.15-25
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• 2014

In this study, types of rock slope failure are analyzed by considering both joint characteristics investigated on previous landslide regions located at northern part of Mt. Jiri and geographic features of natural slopes deduced from GIS. The landslide prediction map was produced by superposing the frequency ratio layers for the six geographic features including elevation, slope aspect, slope angle, shaded relief, curvature and stream distance, and then the landslide risk map was deduced by combination of the prediction map and the damage map obtained by taking account of humanity factors such as roads and buildings in the study area. According to analysis on geographic features for previous landslide regions, the landslides occurred as following rate: 88% at 330~710 m in elevation, 77.7% at $90{\sim}270^{\circ}$ in slope aspect, 93.9% at $10{\sim}40^{\circ}$ in slope angle, 82.78% at grade3~7 in shaded relief, 86.28% at -5~+5 in curvature, and 82.92% within 400m in stream distance. Approximately 75% of the landslide regions belongs to the region of 'high' or 'very high' grade in the prediction map, and 13.27% of the study area is exposed to 'high risk' of landslide.

• The Journal of Engineering Geology
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• v.32 no.3
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• pp.327-338
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• 2022

This study aims to empirically and statistically predict soil depths across areas affected by landslides. Using soil depth measurements from a landslide area in Korea, two sets of soil depths are calculated using a Z-model based on terrain elevation and a probabilistic statistical model. Both sets of calculation results are applied to derive landslide risk using the saturated infiltration depth ratio of the soil layer. This facilitates analysis of the infiltration of rainfall into soil layers for a rainfall event. In comparison with the probabilistic statistical model, the Z-model yields soil depths that are closer to measured values in the study area. Landslide risk assessment in the study area based on soil depth predictions from the two models shows that the percentage of first-grade landslide risk assessed using soil depths from the probabilistic statistical model is 2.5 times that calculated using soil depths from the Z-model. This shows that soil depths directly affect landslide risk assessment; therefore, the acquisition and application of local soil depth data are crucial to landslide risk analysis.

• Journal of Navigation and Port Research
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• v.42 no.1
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• pp.25-30
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• 2018

This study was carried out to analyze the risk attitude based on situation awareness of the Vessel Traffic Service Operator (VTSO) on the risk of collision between vessels during the monitoring of vessel traffic through the use of the VTS system. In general, when two vessels are in the close quarters situation, we analyzed the degree of risk of collision from the subjective viewpoint of the VTSOs through an administered survey. Chiefly, we analyzed the risk attitudes of each VTSO in the close quarters situation, by comparing it with the calculated value by the CoRi, which is the ship collision risk model from the VTSO's viewpoint. As a result, it was confirmed that more than 40% of the total VTSO was noted as being in a weak risk aversion type of category. Through a review of the results of analyzing the risk attitude of VTSO according to gender, age, VTS career, VTS center position, accident experience, and boarded career, it was found that there was a significant difference in the VTS career, VTS center position and accident experience. In addition, a regression model that is able to further explain the risk attitude of VTSO was derived as a factor that confirmed the significant difference and applied to CoRi to predict the collision risk according to the individual VTSO to be used as a fundamental information gathering tool for providing more accurate and safe VTS service at sea.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.20 no.7
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• pp.78-84
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• 2019

The purpose of this study is to investigate the relationship between risk perception, knowledge, risk attitude, and health promoting behaviors of nursing college students. The data were collected from 168 university students of four-year nursing college in the city of D, C. The collected data were analyzed by independent t-test, one way ANOVA and Pearson correlation coefficient using SPSS WIN 20.0 program. As a result this study knowledge of fine dust was statistically significant in respiratory disease(t=1.92, p<.001). The risk attitude toward fine dust was statistically significant in respiratory diseases(t=2.05 p=.042), subjective health status(F=3.79, p = .012). There was a significant positive correlation between risk perception of fine dust and knowledge(r=.340, p<.001), risk attitude(r=.492, p<.001), and health promoting behaviors(r=.354, p<.001). Knowledge of fine dust and risk attitude(r=.401, p<.001), health promoting behavior(r=.296, p<.001), risk attitude toward fine dust and health care behaviors(r=.550, p<.001) also showed a statistically significant positive correlation. Based on these results, it will be necessary to develop a program to improve awareness and knowledge of fine dusts in nursing college students and to improve health promoting behaviors.

• Korean Journal of Child Studies
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• v.29 no.3
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• pp.41-54
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• 2008

This study examined relationships between parenting attitudes and young children's injury risk behavior by age and gender. Subjects were 161 3- to 5-year old children and their parents. Instruments were the revised Parenting Attitudes Questionnaire (Reitman et al., 2002) and the Injury Behavior Checklist (Speltz et al., 1990). Data were analyzed by MANOV A. Results were that: 1) Fathers were more permissive to daughters; mothers were more permissive to younger children. 2) Older children had more injury risk behaviors than younger children; boys engaged in more injury risk behaviors than girls. 3) Fathers' authoritarian and mothers' permissive attitudes were positively related to children's injury risk behavior, respectively. Fathers' and mothers' authoritative attitudes were negatively related to children's injury risk behavior.

• Convergence Security Journal
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• v.20 no.2
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• pp.15-28
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• 2020

Smart City is highly anticipated to solve the problems of existing cities and create new added value, but there is also increasing concern about security risks. The negative view of smart city according to security risk awareness is a problem that needs to be improved in order to activate the fourth industrial revolution technology and develop smart city. This study examined risk factors in smart cities based on perceived risk and user resistance theory, and empirically analyzed the relationship with resistance attitudes. According to the empirical analysis with 288 research samples, security, social, and physical risk factors directly affect smart city resistance, while financial, performance, and privacy risk have no significant effect. In addition, it was verified that the security risk can is an antecedent factor for other risk factors, and it was confirmed that it is required to separately discuss the security and privacy risk in the smart city environment. This study shows that it is necessary to prepare policy supports for social interactions as well as security and physical safety issues in order to activate smart city by discussing the risk factors that negatively affect smart city perception from the public's point of view.

• Journal of the Korean Association of Geographic Information Studies
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• v.12 no.2
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• pp.1-10
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• 2009

Recently the large scale of forest disaster such as landslide and forest fire gives a very bad impact on not only forest ecosystem but also farm business so that it has became the main issue of environmental problems. In this study, the landslide hazard area forecast method was developed by considering not only the topographic thematic maps based on GIS and satellite images but also amount of rainfall data, which are very important factors of landslide. Uljin-gun was selected as the study area and the GIS weight score and overlay analysis were applied to topographical map and meteorological observation map. Finally the landslide area distribution map was constructed by considering the evaluation criteria. Also, the accuracy could be acquired by comparing the landslide hazard area forecast map and real damaged area extracted from satellite image.

• The Journal of the Korea Contents Association
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• v.19 no.3
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• pp.183-196
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• 2019

Economy is transforming from the ownership of goods and services to the use or sharing of ideas, goods and services these days. This is called as 'sharing economy', it has attracted as a economic paradigm a great deal of attention in recent years. The purpose of this study is to find out the influencing factors of the intention of using the sharing economy services. This study defined the success factors of the sharing economy services as the intention of using it, and presented usefulness, enjoyment, and risk as influencing factors. The attitude and trust are also the important intervening variables of using the sharing economy services. This study proposed 8 hypothesis on the relationships of these variables. The data were collected through an internet survey. The sample size is 250. The data obtained were analyzed using SPSS, AMOS for windows. The results showed that usefulness has a significant effect on attitudes, enjoyment has a significant influence on attitude and trust, risk has a significant effect on trust. However, it was confirmed that usefulness does not affect trust, and that risk does not affect attitudes.