• Proceedings of the Korea Water Resources Association Conference
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• 한국수자원학회 2012년도 학술발표회
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• pp.467-467
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• 2012

As the features of recent flood are spatially concentrated, loss of life and property increase by the impact of climate change. In addition to this the public interest in water control information is increased and socially reasonable justification of water control policy is needed. It is necessary to estimate the flood risk in order to let people know the status of flood control and establish flood control policy. For accurate flood risk analysis, we should consider inter-relation between causal factors of flood damage. Hence, flood risk analysis should be applied to interdependence of the factors selected. The Bayesian networks are ideally suited to assist decision-making in situations where there is uncertainty in the data and where the variables are highly interlinked. In this research, to provide more proper water control information the flood risk analysis is performed using the Bayesian networks to handle uncertainty and dependency among 13 specific proxy variables.

• Asia pacific journal of information systems
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• 제25권1호
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• pp.61-81
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• 2015

Investment in research and development (R&D) is critical in the information technology (IT) firms, where newer and better technology is a quintessential goal that directly affects innovation and competitive advantage. This study investigates how R&D investment influences firm performance and value, and how the effect of R&D investment differs between IT hardware and software firms. We also analyze the relationship between firm age and R&D investment in order to identify learning effects on continuous R&D investment. The empirical investigation in this study, based on longitudinal archival data from 2001 to 2010, found a significant effect of R&D investment on firm performance in IT firms. Further, this study demonstrates causal relationship between firm age, and verifies that learning effects are present in R&D investment. Moreover, the results are found to differ between IT hardware and IT software firms.

• Korean journal of food and cookery science
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• 제19권2호
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• pp.155-164
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• 2003

The purpose of this study was to examine, in a service context, construct validity and generalizability of widely used and accepted measures of perceived organizational support, job satisfaction, organizational commitment, and service duality, and to test each measures' predictive utility in this context with path analysis. Of 350 subjects, 309 subjects participated in the analysis. Descriptive statistics (frequencies), exploratory factor analysis, reliability analysis, zero-order partial correlation analysis, and confirmatory factor analysis were used for this study. The findings from this study are as follows. First, perceived organizational support significantly influenced job satisfaction, organizational commitment. and service quality. Second, Job satisfaction had a directional impact upon organizational commitment and service quality. Third, organizational commitment showed to have a predictive impart on service quality. Finally, the results of the study provide some insight into the types of internal marketing strategies that can be applied successfully by operators of hotel F & B departments.

• Journal of the Korea Society of Computer and Information
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• 제23권9호
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• pp.157-162
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• 2018

The purpose of this study is to investigate the relationship between resilience, burnout, and self-efficacy of Public Social Workers and to draw implications for effective management of Public Social Workers. In order to accomplish this study purpose, the resilience of Public Social Workers as an independent variable, burnout as a dependent variable of occupational identity, and self-efficacy as a moderating variable were selected. The causal relationship between resilience and burnout and the moderating effect of self-efficacy were analyzed. As a result of the analysis, the resilience of Public Social Workers showed a significant effect on burnout, and the effect of resilience on burnout varied according to self-efficacy, so there was a moderating effect of self-efficacy. Based on the results of this analysis, the theoretical implications and policy implications of this study are suggested.

• The Journal of Information Systems
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• 제28권3호
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• pp.25-38
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• 2019

Purpose This study aims to empirically analyze which factors affect image and preference of YouTube beauty channels. Some practical and academic implications are presented through empirical research. Design/methodology/approach For this purpose, the six affecting factors were suggested on the basis of previous studies. We proposed image quality, user attitude, empirical value, economics, and awareness as independent variables and channel image and channel preference as dependent variables in order to investigate the causal relationships among the research variables. We surveyed 311 users who had experience in using YouTube Beauty channel and analyzed the data by using a statistical package. Findings This study showed that the channel image has a partial mediating effect between the affecting variables and the channel preference. The results provided some insights and information to increase the number of subscribers and site views. Several suggestions were carefully made.

• International conference on construction engineering and project management
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• The 3th International Conference on Construction Engineering and Project Management
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• pp.1015-1022
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• 2009

Currently, Korean real estate market has experienced cooling down of the business because of the global economic crisis which resulted from the subprime mortgage lending practice. In response, the Korean government has enforced various policies at the base of deregulating real estate speculation, such as increasing Loan to value ratio (LTV) in order to stimulate housing demand and supply. However, these policies seemed to result in deep confusion in the Korean housing market. Furthermore, analysis for housing market forecasting, especially international financial crisis on Korean real estate market, has been partial and fragmentary, therefore comprehensive solution and systematical approach is required to analyze the real estate and real estate financial market including causal nexus between market determining factors. In an integrated point of view, applying the system dynamics modeling, the paper aims at proposing Korean Real Estate and Mortgage market dynamics models based on fundamental principles of housing market determined by supply and demand. We also find the impact of deregulation policies focusing on mortgage loan which is the main factors of policies.

• Culinary science and hospitality research
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• 제23권6호
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• pp.78-88
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• 2017

The main goal of this study was to demonstrate the causal relationships between multi-dimensional work-values, job satisfaction and task performance of Y generational employee in the Korean hotel industry. In order to achieve the purpose, the data were collected from Y generational employees working in the major cities in Korea. To analyze the data, frequency, exploratory factor analysis, reliability analysis, PROCESS Macro analysis and simple regression analysis were undertaken by using SPSS 18.0. The results were as follows; 1. Work-values were found out as five factors; Prestige workvalues, Personal development work-values, Work condition work-values, Personal welfare work-values, Social/ Altruistic work-values. 2. All five factors were found to be significant in enhancing job satisfaction. 3. Two factors which were prestige work-values and personal welfare work-values were found to be significant in facilitating task performance. 4. Job satisfaction was revealed as a mediator between all work-value factors and task performance. This study provided practical information about work-values of Y generational hoteliers to positively affect their job satisfaction and task performance. This study also confirmed that it is important to enhance job satisfaction in order to make employees perform their service duties better.

• Korea Journal of Hospital Management
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• 제17권3호
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• pp.1-22
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• 2012

The purpose of this study is to analyze the mediating effect of informatization level between characteristics of introducing information system and organizational performance in hospital settings, and to provide suggestions to improve the performance level of strategic information system of hospitals. In order to achieve study purpose, a causal path model was developed and empirically tested. Data were collected from 746 managers of 92 hospitals keeping information system in Busan, Ulsan and Kyungnam Province using self-administered structured questionnaire. Major results of this study were as follows; The results of the path analysis showed that organizational characteristics variables except informatization strength within health industry had significant effects on informatization level, and had indirect effects on organizational performance mediated by informatization level. On the other hand, informatization level, especially revelation capability among informatization level variables, was found to have significant direct effect on organizational performance. These results of empirical test imply that informatization level variables are both important affecting factors on organizational performance and mediating factors between organizational characteristics and organizational performance. Therefore, in order to increase organizational performance, measures improving informatization level should be developed and carried out continuously. And, especially, focusing on building and strengthening revelation capability is crucial to those efforts.

• Journal of Applied Biological Chemistry
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• 제58권4호
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• pp.349-354
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• 2015

Brown blotch disease in cultivated mushrooms is caused by Pseudomonas tolaasii, which secretes a lipodepsipeptide, tolaasin. Tolaasin is a pore-forming toxin in the cell membranes, thus destroying the fruiting body structure of mushroom. In this study, we isolated pathogenic bacteria from mushrooms that had symptoms of brown blotch disease. In order to identify these bacteria, their 16S rRNA genes were sequenced and analyzed. Pathogenic bacteria identified as Pseudomonas species were thirty five and classified into five subgroups: P1 to P5. Each subgroup showed different metabolic profile measured by API 20NE kit. Fifty percent of the bacteria were identified as P. tolaasii (P1 subgroup). All five subgroups caused the formation of brown blotches on mushroom tissues and the optimum temperature was 25oC, indicating that they may be able to secrete causal factors, such as tolaasin and similar peptide toxins. These results show that there are at least five different pathogenic Pseudomonas species as blotch-causing bacteria and, therefore, strains from the P2 to P5 subgroups should be also considered and studied as pathogens in order to improve the quality and yield of mushroom production.

• Journal of Information Technology Services
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• 제17권2호
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• pp.179-190
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• 2018

This study is about the influence of authors' centrality on research outcomes in a large-scale collaborative research network. Using the social network analysis method, five types of centralities were derived. Six research outcomes of individual researchers were also derived through bibliographic information of the social science field for the last 10 years. A multivariate regression analysis was conducted to examine the causal relationship between the centrality and research outcome, and the effect of centrality on research outcomes was found to be statistically significant. The result of this study shows that the revised citation and H-index significantly influenced the authors' centrality. This result can imply that the centrality of the researcher can expect a considerable influence of the thesis as well as a certain level of productivity. The meaning of this study is to analyze the effect of centrality on the research outcomes of the large-scale collaborative research network in the past decade, and is carefully to suggest a guideline in order to support new research information services for active researchers and the advancement of collaborative research. This study has its limitation for interpreting the diverse academic fields of the social sciences in a uniform way. In future study, it is necessary to conduct studies using various weighted indices for network centrality in order to measure the influence of research.