• 한국벤처창업학회:학술대회논문집
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• 2022.04a
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• pp.221-225
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• 2022

본 연구의 목적은 중소기업 CEO의 사내 기업가정신이 사업성과에 미치는 영향을 실증 분석하는 데 있다. 중소기업은 창업부터 성장하기까지 많은 위험요소에 노출되어 있으며 이러한 위험요소를 체계적으로 관리하고 극복하는 노하우를 쌓아 잘 활용하였을 때 경쟁시장에서 생존할 수 있다. 즉, CEO의 미래지향적이며, 창조적인 아이디어를 갖고 적극적으로 실행해보고자 하는 성향과, 위험 감수적인 기업가적 정신이 사업성과에 영향을 미칠 것이라는 가정하에 연구모형을 설정하였다. 이를 위해, 사내 기업가정신의 주요 구성요소를 '혁신성', '진취성', '위험감수성'을 독립변수로 하였고 사업성과를 종속변수로 설정하였으며, 선행연구를 기반으로 커뮤니케이션 스타일을 매개변수 채택하여 변수 간의 관계를 실증적 분석을 통하여 검증하고자 한다. 중소기업 CEO를 대상으로 하는 사내 기업가정신의 선행 연구 논문을 바탕으로, CEO가 강사인 대상으로 차별화하여 분석하고자 하였다. 또한 사내 기업가정신과 커뮤니케이션 스타일이 사업성과에 영향을 미치는지를 확인하여 사내 기업가정신의 중요성을 밝히고자 한다. CEO의 역량과 능력이 기업의 사업성과 향상에 미치는 영향요인을 분석하고, 강사가 CEO인 중소기업을 대상으로 강사의 커뮤니케이션 스타일이 조직 구성원과 사업성과 향상을 이끌어 내기 위한 참고자료로서 도움이 되고자 한다.

• Journal of Korean Society of Forest Science
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• v.97 no.3
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• pp.332-339
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• 2008

This study was carried out to develop the score table for prediction of landslide hazard in Gyeongsangbuk-Do province. It was studied to 172 places landslided in 23 cities and counties of Gyeongsangbuk-Do province. An analyze of the score table for landslide hazard was carried out through the multiple statistics of quantification method (I) by the computer. Factors effected to landslide occurrence quantity were shown in order of slope position, slope length, bedrock, aspect, forest age, slope form and slope. As results of the development of score table for prediction of landslide hazard in Gyeongsangbuk-Do province, total score range was divided that 107 under is stable area (IV class), 107~176 is area with little susceptibility to landslide (III class), 177~246 is area with moderate susceptibility to landslide (II class), above 247 area with severe susceptibility to landslide (I class).

• The Journal of the Korea Contents Association
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• v.9 no.12
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• pp.270-278
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• 2009

Most of previous studies on civil servants' stress factors and job satisfaction have been focused on low job satisfaction caused by stress from role relations and human relations. In case of fire officers, however, their stress is expected to be influenced by their unique job characteristics such as risk, urgency, stand-by, and shift. Thus, this study divided fire officers'stress factors into job-related factors (risk, urgency, stand-by, alternation) and role-related factors (role conflict, role ambiguity, role overload), and empirically analyzed how these factors affect their job satisfaction. According to the results of this study, fire officers' job characteristics and their roles in the organization had a significant effect on their job satisfaction. Particularly, among the job-related factors, urgency and stand-by had a positive effect on job satisfaction, and among role-related factors, role conflict and role overload had a negative effect on job satisfaction. In addition, fire officers' stress and job satisfaction were significantly different according to their job (fire fighting, rescue and first aid, fire administration, others), and according to their workplace (fire fighting headquarters, fire station, 119 safety center).

• The Journal of the Korea Contents Association
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• v.11 no.6
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• pp.385-396
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• 2011

Internet web pages can be classified by three major types such as texts only, images with texts and videos with texts. The purpose of this paper is to analyze how customers recognize and respond perspective of perceived risk and media richness with regard to design patterns of internet web pages. Additionally, we will examine the extent to which aforementioned factors affect customer satisfaction. Analyses with perceived risks revealed that customers feel less personal risks including performance, psychology and time/convenience when used web pages of text-images and text-videos, compared to text only based web pages. However, customers feel that web pages consisting of image-text or video-text have higher points in terms of symbolism and social presence in media richness, compared to text only based web pages. Finally, we showed that personal risk and text-based Web page negatively affect but symbolism and social presence positively impact on customer satisfaction. Therefore, this study suggests a clue that why video-based Web content did not grow different from many people's expectation.

• Journal of the Korean Data and Information Science Society
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• v.26 no.6
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• pp.1271-1281
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• 2015

Competing risk analysis is widely applied to analyze a failure time with more than two causes. This paper discusses the application of a competing risk model to a economic activity state of workers with occupational injuries. In particular, main interest is to estimate the distribution of restarting time two kinds of economic activities, (i) returning to original working place and (ii) finding a new job. In this paper, we applied a cumulative incidence function to evaluate their patterns under several individual factors and working place's factor. Furthermore, a subdistributional regression model is applied to estimate the effect of these factors on the returning time. According to result, worker with higher education, younger age and longer working period had a higher chance to return an original working place while one with more severe injuries and skilled laborer had longer returning time to an original working place.

• The Journal of the Convergence on Culture Technology
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• v.9 no.6
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• pp.131-136
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• 2023

Local youth outmigration is increasingly growing. Various studies are being conducted to identify the factors contributing to this problem, but there is a lack of research analyzing each region individually. Therefore, this study aims to analyze the factors influencing youth outmigration in Busan and predict the risk levels of youth population outflow using machine learning techniques. By utilizing district-level data collected from the KOSIS, we divided the population into three groups based on age (the early 20s, late 20s, and early 30s) and employed Decision Tree and Random Forest algorithms to classify and predict the risk levels of youth population outmigration. The results indicate that the predictive model for youth outmigration risk levels achieves the highest accuracies of 0.93, 0.75, and 0.63 for each age group, respectively.

• Proceedings of the KAIS Fall Conference
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• 2010.11b
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• pp.669-672
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• 2010

본 연구는 방문건강관리사업 대상자 중 취약한 노인여성과 노인증후군 관련요인에 대한 인과관계 모형을 규명하여 취약한 노인 여성의 보건의료서비스 제공 시 효율적인 방안제시를 위한 기초자료로 활용하고자 시행하였다. 연구대상자는 2008년 7월 1일부터 9월 30일까지의 기간 동안 전국 보건소에 등록된 방문건강관리사업 대상자 중 동의된 65세 이상 노인여성 1,350명을 선정하여 훈련된 조사원이 직접면담을 통해 조사하였다. 수집된 자료 중 불충분한 29명을 제외한 1,321명을 최종 분석대상으로 하였다. 수집된 자료는 SPSS 17.0 프로그램을 이용하여 빈도분석 및 카이제곱 검정, t-검정, ANOVA, 사후검정은 Tukey를 이용하였으며, 유의한 변수들을 선정하여 로지스틱 회귀분석을 이용하여 분석 하였다. 연구결과를 요약하면 다음과 같다. 첫째, 허약과 관련 있는 노인증후군위험요인은 우울, 요실금, 낙상력, 일상적 수행활동(ADL)으로 나타났다(p<0.05). 둘째, 허약에 영향을 미치는 요인으로는 연령이 75세 이상의 고령일수록, 우울과 요실금의 증상이 있을 때, 최근 낙상경험이 있을 때 허약의 증가 위험이 높은 것으로 나타났다(p<0.05). 셋째, 노인증후군의 위험요인 증가에 영향을 미치는 요인으로는 평생 동안 담배를 5갑 이상 피웠을 때, 당뇨병이 있을 때로 나타났다(p<0.05). 이상 결과를 볼 때, 취약 노인 대상으로 노인증후군, 허약의 향상을 위해서는 만성질환관리 프로그램 뿐 만 아니라 체계적인 근력강화 운동 및 정신건강관리 프로그램의 충분한 확대보급이 반드시 필요하다.

• Korean Journal of Poultry Science
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• v.50 no.1
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• pp.41-50
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• 2023

Over the last decade, avian influenza (AI) has been considered an emerging disease that would become the next pandemic, particularly in countries like South Korea, with continuous animal outbreaks. In this situation, risk assessment is highly needed to prevent and prepare for human infection with AI. Thus, we developed the risk assessment matrix for a high-risk area of human infection with AI in South Korea based on the notion that risk is the multiplication of hazards with vulnerability. This matrix consisted of highly pathogenic avian influenza (HPAI) in poultry farms and the number of poultry-associated production facilities assumed as hazards of avian influenza and vulnerability, respectively. The average number of HPAI in poultry farms at the 229-municipal level as the hazard axis of the matrix was predicted using a negative binomial regression with nationwide outbreaks data from 2003 to 2018. The two components of the matrix were classified into five groups using the K-means clustering algorithm and multiplied, consequently producing the area-specific risk level of human infection. As a result, Naju-si, Jeongeup-si, and Namwon-si were categorized as high-risk areas for human infection with AI. These findings would contribute to designing the policies for human infection to minimize socio-economic damages.

• Information Systems Review
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• v.14 no.2
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• pp.103-115
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• 2012

Improvement of the capability to cope with risk based on prior preventive management is very important for efficient operation of financial information system. In order to do this, understanding, analysis, and countermeasures for the risk that happened already in the past is essential. In this study, the defect data which happened in the financial information system including account system, business system and data feeding system during 4 years and 5 months were categorized and analyzed by the domain, defect factors, period, day of the week, phases of software development, and defect cause. As a result, it was identified that the defect data had characteristics and trends along the phase of software development, day of the week, and the cause, also that building risk prediction model was necessary for the risk management of whole financial domain due to the relation of the information systems.

• Korean Journal of Construction Engineering and Management
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• v.10 no.3
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• pp.83-91
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• 2009

Construction industry is a complex industry which should be invested with plenty capital, manpower and resources. Investment factors and inner and outer environmental factors should be managed systemically in terms with risk factors possible to occur. It maximizes the profit to establish construction management by managing risk systemically. While previous studies were executed with risk related to some special progress lively, studies about risk in managing construction company leave much to be desired. Therefore, this study examined risk in the whole construction management, showed the checklist and deduced the quantitative factors through questionnaire analysis from specialists. Also, priority and grade of construction management factors were evaluated by analyzing weight of construction risk factors.