• Asia pacific journal of information systems
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• v.15 no.1
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• pp.81-113
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• 2005

IT has affected the hospital management via information systems and multimedia systems such as hospital information systems(HIS) and Order Communication System(OCS). A large number of researches have been done on the topic of success factors of information systems implementation, but a few on the topics of hospital information systems. Thus in this study, the success factors of the military hospital information systems implementation was analysed. To this end, a number of previous researches were reviewed and about 71 items of success factors were deduced. For doing empirical analysis, a questionnaire with 71 items was prepared and sent to proper organizations. The statistical analysis such as factor analysis was applied to about 400 of them returned. The six success factors and 20 sub success factors were resulted from factor analysis. The six success factors include systems management factor, technology and organization factor, the efficiency of IT department factor, technology application factor, outsourcing factor and environment factors. This study finds the outsourcing and environment factors are very important factors as much as other success factors which previously were mentioned.

• Proceedings of the Korean Operations and Management Science Society Conference
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• 2008.10a
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• pp.420-420
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• 2008

• Journal of Korean Academy of Nursing
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• v.43 no.6
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• pp.791-800
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• 2013

Purpose: This study was done to test a structural equation modeling of case management outcomes in order to identify parameters affecting case management outcomes for the community-dwelling vulnerable elders. Methods: Data were collected from 309 nurses (case managers) and community-dwelling vulnerable elders (clients) from public health centers. For data analysis, descriptive statistics, Pearson correlation analysis, factor analysis, and covariance structure analysis were performed using SPSS Version 18.0 for Windows and Amos 16.0. Results: The hypothetical model had an acceptable fit: GFI=.97, CFI=.95, RMSEA=.02, SRMR=.05. The factor "case managers' singularity" had the greatest impact on case management outcomes in this model. In addition, the factor "case management practice" influenced case management outcomes; however, client characteristics did not. Case managers' singularity affected case management outcomes directly and indirectly, with case management practice mediating the latter effect. Conclusion: These results suggest that the causal relationship between case management outcomes and factors influencing these outcomes should be clarified through longitudinal research including a variety of client characteristics. In addition, in future studies, analysis of the effects of programs to improve manpower quality and examine the relationships among case management outcomes should be done.

• The Journal of the Korea institute of electronic communication sciences
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• v.8 no.1
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• pp.135-142
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• 2013

This study is intended for bedding stores and finds management performance factors from providers' aspect. Henceforth this study can be used when bedding stores were considered to establish by determinations and bedding companies with statistics as a criterion and a tool so that make an accurate estimate. First, it was found that location and trade area are the most influential factor in the management performance. Second, the result of study showed that location placed first in the importance of management performance factors in bedding stores, consumer came second, followed by competition. Third, it was assumed that the large floating population around the bedding store was the most important variable in location factor, the large resident population was the most important one in the consumer factor and high quality product was the most important one in the economic factor.

• Proceedings of the Korean Society for Quality Management Conference
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• 2004.04a
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• pp.217-228
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• 2004

In this thesis, we suggest questionnaire which is designed to understand of what employees include executive think about 6 sigma management movement and to find important factor for strategic of success 6 sigma management movement of K. Corporation. This thesis is composed of 2 parts, one is questionnaire design and the other is questionnaire analysis. We find important factor for strategic of success 6 sigma management movement of K. Corporation by using correlation and regression analysis, which results very useful and great help for K's Co. In questionnaire analysis, we use by minitab package version 13.2.

• Proceedings of the Safety Management and Science Conference
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• 2011.04a
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• pp.695-699
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• 2011

The study presents an efficient design method of Venn Diagram that can be used when implementing the quality design of experiments based on generalizability theory. The paper examines four mixed and combined models that are designed by fixed factor, random factor, crossed factor and nested factor. The models considered in this research are $A^*{\times}B^*{\times}C$, (B: $A^*$)${\times}C$, $A{\times}B{\times}C$ and (B: A)${\times}C$.

• Human Ecology Research
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• v.53 no.1
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• pp.1-16
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• 2015

This study aims to examine the effects of high school students' time management behaviors on their satisfaction with educational consumption and school life. Three hundred seventy-six high school students in Seoul participated in this investigation. The SPSS ver. 19.0 program was adopted for the descriptive analysis, factor analysis, Cronbach's ${\alpha}$, and multiple regression analysis. The results of the present study can be summarized as follows: first, the levels of time management behavior, satisfaction with educational consumption at school, and satisfaction with school life were relatively high. Second, an analysis of the relative influence on satisfaction with educational consumption revealed that the students' time management behavior was the most influential factor, followed by academic achievement. As the levels of time management behavior and academic achievement were high, the level of satisfaction with educational consumption was high. Finally, an analysis of the relative influence of satisfaction with school life also revealed that the students' time management behavior was the most influential factor, followed by academic achievement. Based on the findings, that is, the effects of high school students' time management behavior and other involved variables on their satisfaction with educational consumption and school life, a future study can present specific ways to enhance the level of satisfaction with educational consumption and school life.

• Health Policy and Management
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• v.4 no.2
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• pp.58-76
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• 1994

In order to study factors affecting the use of the ambulatory physician services. Andersen's model for health utilization was modified by adding the health behavior component and examined with three different approaches. Three different approaches were the multiople regression model, logistic regression model, and LISREL model. For multiple regression, dependent variable was reported illness-related visits to a physician during past one year and independent variables are variaous variables measuring predisposing factor, enabling factor, need factor and health behavior. For the logistic regression, dependent variable was visit or no-visit to a physician during past one year and independent variables were same as the multiple regression analysis. For the LISREL, five endogenous variables of health utiliztion, predisposing factor, enabling factor, need factor, and health behavior and 20 exogeneous variables which measures five endogenous variables were used. According to the multiple regression analysis, chronic illness, health status, perceived health status of the need factor; residence, sex, age, marital status, education of the predisposing factor ; health insurance, usual source for medical care of enabling factor were the siginificant exploratory variables for the health utilization. Out of the logistic regression analysis, health status, chronic illness, residence, marital status, education, drinking, use of health aid were found to be significant exploratory variables. From LISREL, need factor affect utilization most following by predisposing factor, enabling factor and health behavior. For LISREL model, age, education, and residence for predisposing factor; health status, chronic illess, and perceived health status for need factor; medical insurance for enabling factor; and doing any kind of health behavior for the health behavior were found as the significant observed variables for each theoretical variables.

• Journal of the Korea Safety Management & Science
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• v.8 no.4
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• pp.63-89
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• 2006

Recently, the technology is getting to be the most important factor for companies, as the industry is changing fast. The uncertainty and complexity of technology valuation arc higher so that the technology concentrated companies need more developed and high performance technology. This paper reviews the methods of technology valuation for five categories that have been developed by valuation researchers, (1) research of technology diffusion and acceptance model, (2) research of technology valuation, (3) research of technology import and export factor, (4) research of technology valuation model, (5) research of technology transfer and market. And we propose a new technology valuation model using need(market), seed(technology) and deeds(management) factor by cross impact matrix. This model gives us the reference negotiation range for deciding the amount of royalty. I hope this paper induces more research on this field of technology valuation.

• International conference on construction engineering and project management
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• 2005.10a
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• pp.667-671
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• 2005

Analytical hierarchy process (AHP) is a potential decision making method in management that can be used in project management as well. Lack of productivity is perhaps the number one problem confronting in the construction industry. There are numerous factors which affect the productivity of a construction project, so it is necessary to find out the critical factors giving birth to productivity. In this paper, construction productivity is taken as example for the demonstration of the AHP application to find out the critical productivity factor in which the Level 1 is taken as selection of critical productivity factor, Level 2 as construction parties and Level 3 as productivity factors group. The outcome of this study is beneficial to the entire constructional professionals for applying the AHP.