• Korea Journal of Hospital Management
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• v.24 no.2
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• pp.23-37
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• 2019

The purpose of this study was to investigate the effect of fairness, culture, and service points on organizational management to maximize the ability of organizational members. The subjects of the survey were selected from major hospitals, small and medium hospitals. A total of 500 questionnaires were distributed, but 404 (80.8%) were used for the final analysis. The SPSS WIN 20 program was used to analyze the collected data. The following conclusions were obtained. First, in this study, organizational fairness did not show any general difference, and fairness was obtained with relatively high scores. In terms of improving organizational culture, size of hospital there is a statistically significant difference. the larger the organization, the more the organizational culture needs to be improved. Organizational fairness were significant differences in service encounter points and size of hospital. Second, the correlation between fairness, organizational culture improvement, service contact point and management performance showed a very positive correlation. Third, fairness has no effect on business performance. However, in this study, organizational culture improvement and service contact points are statistically significant and positive (+) influence on dependent variable management performance. Therefore, in order to improve the organizational culture of the hospital, it is necessary for the CEO to the vision, core, to discuss and make a reasonable plan. In order to actively cope with rapidly changing hospital environment, it will be necessary to positively support the of new medical market and the increase of market share.

• Asian-Australasian Journal of Animal Sciences
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• v.18 no.1
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• pp.8-12
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• 2005

Response in a modified reciprocal recurrent selection scheme for egg production was evaluated considering variable family sizes and genetic correlation between purebred and crossbred half sisters. The criteria of selection of purebred breeders included pullet's own performance, purebred full and half sisters and crossbred half sister's performance. Heritability of egg production of crossbreds (aggregate genotype) and purebred's was assumed to be 0.2 and genetic correlation between purebred and crossbred half sisters ($r_{pc}$) as 0.1, 0.2, 0.3, 0.4, 0.5, 1.0, -0.1, -0.2, -0.3, -0.4, -0.5 and -1.0. Number of dams per sire to produce purebred and crossbred progenies assumed to be 5, 6, 7, 8, while number of purebred female progeny ($N_p$) and crossbred progeny ($N_c$) per dam were considered to be 3, 4, 5 and 6 in each case. Considering phenotypic variance as unity, selection indices were constructed for different combinations of dams and progeny for each value of $r_{pc}$. Following selection index theory, response in crossbred and purebred for egg production was computed. Results indicated that response in crossbreds depended mainly on crossbred family size and also on magnitude of$r_{pc}$ irrespective of its direction, and response was greater with large crossbred family size than the purebred families. Correlated response in purebreds depends both on magnitude and direction of $r_{pc}$ and was expected to be greater with large purebred family size only. Inclusion of purebred information increased the accuracy of selection for crossbred response for higher magnitude of$r_{pc}$ irrespective of its direction. Present results indicate that desirable response in both crossbred and purebred performance is a function of $r_{pc}$ and family sizes. The ratio of crossbred and purebred family sizes can be optimized depending on the objective of improving the performance of crossbreds and/or of purebreds.

• Journal of the Korean Institute of Telematics and Electronics S
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• v.34S no.6
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• pp.46-57
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• 1997

In this paper, we propose an efficient algorithm for adaptation of tracking windwo, which improves tracking performance of a correlation-based video tracker by rejecting background effect originated from a time-varying target. Th eproposed adaptation algorithm ajdusts the size of a tracking window by using the ratio of spatial gradient power in target region to that in backgorund region, which is especially adequate for a correlation-based tracker. Experimental results for synthetic and real image sequences show that the proposed method adapts a tracking window well to a time-varying target and so greatly suppresses background effect, which makes improvement of trakcing performance.

• Journal of Digital Convergence
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• v.7 no.4
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• pp.141-148
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• 2009

The purpose of this study is to examine the causal correlation between communication skill of organization and their job performance. In our model, we used these variables - innovation awareness, job satisfaction, organizational commitment as a parameter. In order to verify the hypothesis based on research model, a survey among researchers (sample size=117) who work in food company was carried out. Analyzing hypothesized model and following the statistical procedure, we could assure that there exist positive correlation with communication skill, innovation awareness, job satisfaction, organizational commitment and organizational performance. A coefficient of correlation between those variables was clearly high in the group with good communication skill. Among the parameters, the variable of innovation awareness was more effected on their job performance.

• Communications for Statistical Applications and Methods
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• v.25 no.3
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• pp.321-328
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• 2018

In clinical trials with repeated measurements, the time-averaged difference (TAD) may provide a more powerful evaluation of treatment efficacy than the rate of changes over time when the treatment effect has rapid onset and repeated measurements continue across an extended period after a maximum effect is achieved (Overall and Doyle, Controlled Clinical Trials, 15, 100-123, 1994). The sample size formula has been investigated by many researchers for the evaluation of TAD in two treatment groups. For the evaluation of TAD in multi-arm trials, Zhang and Ahn (Computational Statistics & Data Analysis, 58, 283-291, 2013) and Lou et al. (Communications in Statistics-Theory and Methods, 46, 11204-11213, 2017b) developed the sample size formulas for continuous outcomes and count outcomes, respectively. In this paper, we derive a sample size formula to evaluate the TAD of the repeated binary outcomes in multi-arm trials using the generalized estimating equation approach. This proposed sample size formula accounts for various correlation structures and missing patterns (including a mixture of independent missing and monotone missing patterns) that are frequently encountered by practitioners in clinical trials. We conduct simulation studies to assess the performance of the proposed sample size formula under a wide range of design parameters. The results show that the empirical powers and the empirical Type I errors are close to nominal levels. We illustrate our proposed method using a clinical trial example.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.21 no.11
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• pp.455-464
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• 2020

This study examined the correlation between the variables related to the organizational commitment of social workers. The research results are as follows. First, the overall effect size of the variable group had an intermediate effect size. Among the four organizational commitment-related variables, the job-related negative variable had the largest effect size. Next, the group of positive variables related to the organization, the group of positive variables related to the job, and the group of individuals related to the individual were in order. Second, among the individual-related variables, experience, gender, and education showed a small effect size, and other factors were close to the small effect size. In the group of positive variables related to organization, all variables except for transactional leadership and organizational fairness, which had a medium effect size, showed a large effect size. The job-related positive variables showed a large effect size only for job satisfaction, and customer orientation and job suitability were close to the large effect size. The turnover intention, which is a group of job-related negative variables, had a large effect size and job stress showed a medium effect size.

• The Journal of Korean Academic Society of Nursing Education
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• v.29 no.3
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• pp.302-318
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• 2023

Purpose: This study aimed to identify the variables related to the organizational silence of Korean hospital nurses and to examine the effect sizes of correlations between the related variables and sub-types of organizational silence. Methods: Relevant studies were searched through a systematic search in six Korean electronic databases (RISS, ScienceON, KCI, DBpia, e-Article, and KISS) using June 2022 as the end date. Thirteen studies were identified through a systematic review and eight of them were meta-analyzed. The correlation effect size r (ESr) for each related variable was calculated. Results: Twenty-two related variables were identified from the systematic review. Of them, organizational culture was the most frequently examined. Seven variables (three organizational, two leader-member exchange, and two consequences of organizational silence) were found eligible for the meta-analysis. The intention of turnover (ESr=.39; 95% confidence interval, 95% CI=.32 to .45) and leader-member exchange ("manager's leaderships" ESr=-.33, 95% CI= -.43 to -.21; "manager's inclination to reject negative feedback" ESr=.32, 95% CI=.23 to .39) had larger correlation effect sizes than the other variables that related to organizational silence, in particular, acquiescent silence, which had the largest correlation effect size among the three sub-types of organizational silence. Conclusion: These findings show that the intention of turnover and leader-member exchanges were the main factors that related to the organizational silence. This indicates that it is necessary to develop management and education programs, as well as communication systems that focus on reducing and managing organizational silence, especially acquiescent silence.

• Journal of Veterinary Clinics
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• v.28 no.4
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• pp.422-426
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• 2011

For a national survey in which wide geographic region or an entire country is targeted, multi-stage sampling approach is widely used to overcome the problem of simple random sampling, to consider both herd- and animallevel factors associated with disease occurrence, and to adjust clustering effect of disease in the population in the calculation of sample size. The aim of this study was to establish sample size for estimating bovine tuberculosis (TB) in Korea using stratified two-stage sampling design. The sample size was determined by taking into account the possible clustering of TB-infected animals on individual herds to increase the reliability of survey results. In this study, the country was stratified into nine provinces (administrative unit) and herd, the primary sampling unit, was considered as a cluster. For all analyses, design effect of 2, between-cluster prevalence of 50% to yield maximum sample size, and mean herd size of 65 were assumed due to lack of information available. Using a two-stage sampling scheme, the number of cattle sampled per herd was 65 cattle, regardless of confidence level, prevalence, and mean herd size examined. Number of clusters to be sampled at a 95% level of confidence was estimated to be 296, 74, 33, 19, 12, and 9 for desired precision of 0.01, 0.02, 0.03, 0.04, 0.05, and 0.06, respectively. Therefore, the total sample size with a 95% confidence level was 172,872, 43,218, 19,224, 10,818, 6,930, and 4,806 for desired precision ranging from 0.01 to 0.06. The sample size was increased with desired precision and design effect. In a situation where the number of cattle sampled per herd is fixed ranging from 5 to 40 with a 5-head interval, total sample size with a 95% confidence level was estimated to be 6,480, 10,080, 13,770, 17,280, 20.925, 24,570, 28,350, and 31,680, respectively. The percent increase in total sample size resulting from the use of intra-cluster correlation coefficient of 0.3 was 22.2, 32.1, 36.3, 39.6, 41.9, 42.9, 42,2, and 44.3%, respectively in comparison to the use of coefficient of 0.2.

• Journal of the Korean Ceramic Society
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• v.33 no.5
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• pp.583-589
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• 1996

In this study a new analytical model which can describe the relationship between the bridging stress and microstructure has beenproposed in order to investigate the microstructural effect on the R-curve behavior in polycrystalline aluminas since the R-curve can be derived via the bridging stress function. In the currently developed model function the distribution of grain size is considered as a microstructural factor in modeling of bridging stress function and thus the bridging stress function including three constants PM, n, and Cx, can be established analytically and quantitatively. The results indicate that the n value is closely related to the grain size distribution thereby providing a reliability of the current model for the bridging stress analysis. Thus this model which explains the correlation of the bridging stress distribution and microstructual parame-ters is useful for the systematic interpretation of microfracture mechanism including the R-curve behavior in polycrystalline aluminas.

• Computers and Concrete
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• v.1 no.2
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• pp.169-188
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• 2004

A coupled damage-viscoplasticity model is presented for the analysis of localisation and size effects. On one hand, viscosity helps to avoid mesh sensitivity because of the introduction of a length scale in the model and, on the other hand, enables to represent size effects. Size effects were analysed by means of three-point bending tests. Correlation between the fracture energy parameter measured experimentally and the density fracture energy modelling parameter is discussed. It has been shown that the dependence of nominal strength and fracture energy on size is determined by the ligament length in comparison with the width of the fracture process zone.