• Journal of the Korean Society of Safety
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• v.31 no.2
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• pp.98-103
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• 2016

The goals of this study were to investigate some significant factors to judge level of safety at urban railway construction field and to analyze degree of risk by work classification. Currently, there are lots of construction fields for the urban railway for national transportation, and our government also planned constructing more urban railway in near future. However, most of the researches on safety neglected the degree of risk factors on the urban railway construction field. Safety managers participated in the brainstorming session for deriving decision criteria of the degree of risk (i.e., significant factors). Then, they were asked to answer a structured questionnaire which was developed for deriving most important factors. Finally, the analytic hierarchy process (AHP) was used to analyze level of risk by work classification. The following results were obtained. First, total twelve factors judging degree of risk were found in the brainstorming session. Second, the questionnaire showed four significant factors, including adjacency of obstacle, intensity of work, unsafe condition and work space. Third, the results of AHP showed civil work is the most dangerous work among 6 work types. The results could be used to give the safety management priority on accident prevention efforts among several hazards and to reduce degree of risk in construction field of the urban railway.

• Journal of Korean Academy of Fundamentals of Nursing
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• v.21 no.2
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• pp.151-161
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• 2014

Purpose: The purpose of this study was to identify the risk factors that influence surgical site infections after surgery. Methods: This study was a retrospective research utilizing Electronic Medical Records. Data collection targeted 4,510 adult patients who had 8 different kinds of surgery (gastric surgery, colon surgery, laparoscopic cholecystectomy, hip & knee replacement, hysterectomy, cesarean section, cardiac surgery) in 4 medical care departments, at one general hospital between January 2006 and December 2011. Multivariate logistic regression analyses were used to identify the risk factors affecting surgical site infections after surgery. Results: Risk factors for increased surgical site infection following surgery were confirmed to be age (OR=1.59, p<.001), BMI (Body Mass Index)(OR=1.25, p=.034), year of operation (OR=2.45, p<.001), length of operation (OR=3.06, p<.001), ASA (American Society of Anesthesiology) score (OR=1.36, p=.025), classification of antibiotic used (OR=2.77, p<.001), duration of the prophylactic antibiotics use (OR=1.85, p<.001), and interaction between classification of antibiotic used and duration of the prophylactic antibiotics use (OR=1.90, p=.016). Conclusions: Results suggest that risk factors affecting surgical site infections should be monitored before surgery. The results of this study should contribute to establishing effective infection management measures and implementing surveillance systems for patients who have actual risk factors.

• Korean Journal of Construction Engineering and Management
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• v.25 no.1
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• pp.32-41
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• 2024

In the construction industry, not only safety accidents, but also various complex risks such as construction delays, cost increases, and environmental pollution occur, and management technologies are needed to solve them. Among them, process risk management, which directly affects the project, lacks related information compared to its importance. This study tried to develop a MATM tunnel process risk classification system to solve the difficulty of risk information retrieval due to the use of different classification systems for each project. Risk collection used existing literature review and experience mining techniques, and DB construction utilized the concept of natural language processing. For the structure of the classification system, the existing WBS structure was adopted in consideration of compatibility of data, and an RBS linked to the work species of the WBS was established. As a result of the research, a risk classification system was completed that easily identifies risks by work type and intuitively reveals risk characteristics and risk factors linked to risks. As a result of verifying the usability of the established classification system, it was found that the classification system was effective as risks and risk factors for each work type were easily identified by user input of keywords. Through this study, it is expected to contribute to preventing an increase in cost and construction period by identifying risks according to work types in advance when planning and designing NATM tunnels and establishing countermeasures suitable for those factors.

• Asian Pacific Journal of Cancer Prevention
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• v.15 no.24
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• pp.10683-10690
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• 2015

The big gap between efficacy of population level prevention and expectations due to heterogeneity and complexity of cancer etiologic factors calls for selective yet personalized interventions based on effective risk assessment. This paper documents our research protocol aimed at refining and validating a two-stage and web-based cancer risk assessment tool, from a tentative one in use by an ongoing project, capable of identifying individuals at elevated risk for one or more types of the 80% leading cancers in rural China with adequate sensitivity and specificity and featuring low cost, easy application and cultural and technical sensitivity for farmers and village doctors. The protocol adopted a modified population-based case control design using 72, 000 non-patients as controls, 2, 200 cancer patients as cases, and another 600 patients as cases for external validation. Factors taken into account comprised 8 domains including diet and nutrition, risk behaviors, family history, precancerous diseases, related medical procedures, exposure to environment hazards, mood and feelings, physical activities and anthropologic and biologic factors. Modeling stresses explored various methodologies like empirical analysis, logistic regression, neuro-network analysis, decision theory and both internal and external validation using concordance statistics, predictive values, etc..

• Korea Trade Review
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• v.47 no.3
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• pp.17-35
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• 2022

The Pandemic crisis caused by COVID-19 has raised awareness of the importance of supply chain risk management, such as the control of movement between countries and the simultaneous manufacturing paralysis in the world. Effective risk management within the supply chain of the company is a core competency in the global environment. Therefore, this study quantitatively analyzed the perspective of domestic large corporations and small and medium enterprises (SMEs) by using the hierarchical analysis method (AHP) to identify the factors that should be considered as the priority when establishing supply chain risk management plans for large and small business employees. In order to conduct the study, a survey was conducted on large corporations and small and medium enterprises in Gyeongnam and Busan, and AHP analysis was conducted using Microsoft 365 excel program. In addition, Mann-Whitney U test (independent sample-nonparametric test) was conducted using SPSS/18 version of statistical package program for comparative analysis between groups. As a result, the priority was highly evaluated in the order of financial ability, competitiveness, disaster in the overall priority evaluation. There were statistically significant differences in internal risk and strategic decision making of supply chain between groups. This suggests that fandemics such as COVID-19 can not be predicted, but strategic responses are needed to utilize opportunities expressed in the crisis through supply chain risk management and to increase the competitive advantage of domestic companies even in the crisis.

• Korean Journal of Construction Engineering and Management
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• v.2 no.4 s.8
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• pp.62-68
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• 2001

The purpose of this study was to Identification the Risk of construction method to protect and reduce of construction period. Risk management is one of the key project management process. Numerous tools are available to support the various phases of the risk management process. We present the results of a study designed to identify the tools that are most widely used and those that are associated with successful project management in general, and with effective project risk management in particular. The study is based on a questionnaire administered to a sample of project managers from construction enterprises. The response data was analyzed in order to find which tools are more likely to be used in the those organizations that report better project management performance and in those that value the contribution of risk management processes.

• Journal of Information Technology Services
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• v.8 no.4
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• pp.41-55
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• 2009

Due to the global business environments and severe competitions, SMEs have carried out IS projects for their competitive advantages. However, numerous organizations have faced with difficulties in the IS project management such as large amounts of IT expenses and uncertainties in project implementations. Thus, this study is intended to discover critical risk factors in the IS project management. To achieve this research goal, we have mailed questionnaires to SMEs and SI companies that experienced IS project failures and 63 usual data were collected. The result of analysis with step wise regression showed that 6 factors are related with IS project failures. The study contributes to the literature in two ways. First, this paper empirically identifies IS risk factors for SME manufactures. Second, this research result can be utilized as a checklist for the successful IS implementations. Limitations and future research topics are also discussed.

• Knowledge Management Research
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• v.9 no.1
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• pp.1-21
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• 2008

The present study investigatesthe reliability and validity of the innovation leadership scale. Originally the seven factors with 25 items were developed through literature review. With a sample of 177 employees in a large company, the results of factor analyses showed that the five-factor model with 14 items had a better fit to the data than the seven-factor model. These five factors were innovativeness pursue, problem solving, vision presentation, risk-taking, and showing initiative. All of these factors were significantly related to various criteria such as identification with the group, attachment to the group, organizational commitment, and supervisor satisfaction, confirming criterion-related validity of the scale. Results of multiple regression analyses showedthat risk taking and showing initiative were more important predictors in explaining criteria. Finally, implications and limitations were discussed. The findings suggest that the key factors of innovation leadership were initiative and risk-taking.

• Korean Journal of Construction Engineering and Management
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• v.8 no.1 s.35
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• pp.47-56
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• 2007

The Build-Transfer-Lease(BTL) system is a new way of attracting private capital to social infrastructure construction projects. Private companies will get back their investment by leasing facilities to the government. In January 2005, government introduces a 'Korean New Deal Policy' to initiate BTL system in the field of social infrastructure development such as education, public welfare, housing, culture etc. As BTL being still in premature phase, thus it is lack of knowledge in BTL and there is no such studies about problems and impacts of BTL projects. However, there could be so many problems underlying within BTL projects. Therefore, the purpose of this paper is to identify various risk factors during implementation of BTL projects. For this purpose, five BTL undertaking projects were studied. Field survey was conducted based-on interview instruments. Prevailing risk factors in operating the BTL Project were collected from the both officials of project promoters and concessionaires. In addition, a distinct need has emerged for analysis of risk factors for BTL projects. Based on real cases, this study resulted in risk factors influencing every phases and grouped risk factors into each phase. Moreover, this study also perform sensitivity analysis in order to know how risk factors affect to BTL projects. From analyzing the data, the study addresses that both major BTL project participants 'the competent authority' and 'Special purpose company(SPC)' have many problems and difficulties to operate the projects.

• Asia pacific journal of information systems
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• v.15 no.2
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• pp.65-96
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• 2005

It is generally believed that, compared to traditional commerce, Electronic Commerce(EC) is more difficult to gain and sustain customers. One of the major reasons that customers do not use EC is lack of trust. Previous researches on the EC user's trust suggested that risk is an antecedent of trust and the concept of trust is highly related to risk. This study proposed a combined model in which includes the factors based on generic information security risk analysis methodology and trust factors in EC. The objectives of this study are follows; first, investigating the relationship between trust and risk that are antecedent factors of purchase intention, and second, examining the validity of information security risk analysis approach in EC environment. Based on the survey results of 143 MBA students statistical analysis showed that factors like threats and controls were significantly related to risk, but assets did not have statistically significant relationship with risk. Controls and knowledge of EC had meaningful effect on user's trust. This study found that risk analysis methodology which is generally used at organizational level is practically useful at user level on EC environment. In conclusion, the results of this study would be applied to generic situation of information security for analyzing and managing the risk. Besides, this study emphasized that EC vendors need to pay more attention to the information security risk to gain customer's trust.