• Journal of Korean Academy of Nursing Administration
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• v.12 no.4
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• pp.564-573
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• 2006

Purposes: This study was to provide basic data to explain the effect of the organizational effectiveness factor on hospital nursing, to construct an appropriate model to examine the validation and relationship with variables and to provide basic data for improving the organizational effectiveness of hospital nursing. Method: This study was a descriptive correlation research. Subjects of the study were 348 nurses, 219 patients, and 89 nurses for nursing quality. Twelve measurement variables and nine paths were established in the hypothetical model. Results: The fitness indices of the model were GFI=0.91, NFI=0.90, and PGFI=0.49. Five among the nine paths proved to be statistically significant : level of nurse manpower to organizational effectiveness, conflict to organizational effectiveness, organizational climate to organizational effectiveness, level of nurse manpower to organizational climate, and leadership to organizational climate. Level of nurse manpower and leadership influenced organizational climate. Organizational climate accounted for 43% by the predictor variables, and the level of nurse manpower, conflict, and organizational climate influenced the organizational effectiveness, which accounted for 77% by the predictor variables. Conclusion: This study identified that the level of nurse manpower, leadership, conflict, and organizational climate are important factors affecting organizational effectiveness.

• Journal of Korean Academy of Nursing
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• v.44 no.2
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• pp.179-188
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• 2014

Purpose: This study was done to construct and test a structural model to explain health risk behavior of late adolescents. Methods: Data for this study were secondary data from the 2010 Korea Adolescent Health Survey based and 3,675 high school students who participated. Data were analyzed using SPSS 18.0 and AMOS 19.0 programs. Results: After 7 lines were removed, fitness statistics for the hypothetical model were appropriate (${\chi}^2$=559.13, p<.001, GFI=.98, SRMR=.03, RMSEA=.04, NFI=.88, IFI=.90, CFI=.90, TLI=.86, AIC=671.13). The result showed that drinking-smoking is directly affected by 5 variables (32.5%), obesity is directly affected by 2 variables (0.7%), lack of physical activity is directly affected by 5 variables (22.2%), skipping of breakfast is directly affected by 3 variables (11.9%), improper sleep is directly affected by 3 variables (7.5%), and psychological adaptation is directly affected by 4 variables (26.8%). Conclusion: The results of this study, indicate that late adolescents' health risk behavior is affected by many factors with complicate correlations suggesting further study compare youth health risk behaviors in a variety of environments.

• Korean Journal of Child Studies
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• v.19 no.2
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• pp.49-64
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• 1998

The theoretical process model was used to study problem behavior of children growing up at-risk. A sample of 339 children living in at-risk families were selected from among 2, 134 children in grades 4, 5, and 6 of five elementary schools in Seoul. The instruments were five risk factor scales and four protective factor scales. The Child Behavior Checklist was also used. The results of the hypothetical model of children at-risk showed that the factor of socioeconomic status led to positive child rearing attitudes in mothers, which is turn influenced children's problem behavior indirectly. In contrast, stressful life events and mother's depression influenced children's problem behavior directly. However, negative family functioning, marital discord and father's depression did not influence mother's child rearing attitudes or children's problem behavior. Mother's child rearing attitudes directly influenced children's social competence and academic achievement and indirectly influenced their problem behavior. Academic achievement did not influence problem behavior directly, but social competence influenced it directly. Mother's child rearing attitude was the most significant factor affecting children's adaptation.

• Korean Journal of Adult Nursing
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• v.13 no.4
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• pp.610-619
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• 2001

Purpose: The purpose of this study was to verify the effectiveness of the model based on the TPB, behavior-related theories, and exercise-related empirical studies in predicting exercise intention and behavior. Methods: The subjects who participated in this study were 152 middle-aged women. The data were analyzed by use of SAS PC program and LISREL 8.12a program. Results: 1) The overall fit of the hypothetical model to the data was acceptable ($\chi^2$ 24.01(p=0.0043), $\chi^2/df$ 2.67, RMSEA 0.11, standardized RMR 0.04, GFI 0.97, AGFI 0.84, NFI 0.95, NNFI 0.85). 2) Affect, subjective norm, perceived behavioral control and habit were significant determinants of the exercise intention. Attitude and facilitating conditions were not significant determinants. These six variables explained 43% of the total variance of the exercise intention. 3) Perceived behavioral control and habit were significant determinants of the exercise behavior. Intention and facilitating conditions were not significant determinants. These four variables explained 95% of the total variance of the exercise behavior. Conclusion: This study shows the model's applicabiltiy in explaining exercise behavior of middle-aged women, and suggests that we should focus on perceived behavioral control and habit rather than intention to improve exercise behavior of middle-aged women.

• Computers and Concrete
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• v.21 no.5
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• pp.513-523
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• 2018

Time dependent strain due to creep is a significant factor in structural design. Multi-gene genetic programming (MGGP) and artificial neural network (ANN) are used to develop two models for prediction of creep compliance in concrete. The first model was developed by MGGP technique and the second model by hybridized MGGP-ANN. In the MGGP-ANN, the ANN is working in parallel with MGGP to predict errors in MGGP model. A total of 187 experimental data sets that contain 4242 data points are filtered from the NU-ITI database. These data are used in developing the MGGP and MGGP-ANN models. These models contain six input variables which are: average compressive strength at 28 days, relative humidity, volume to surface ratio, cement type, age at start of loading and age at the creep measurement. Practical equation based on MGGP was developed. A parametric study carried out with a group of hypothetical data generated among the range of data used to check the generalization ability of MGGP and MGGP-ANN models. To confirm validity of MGGP and MGGP-ANN models; two creep prediction code models (ACI209 and CEB), two empirical models (B3 and GL 2000) are used to compare their results with NU-ITI database.

• Korean Journal of Adult Nursing
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• v.27 no.6
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• pp.613-623
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• 2015

Purpose: This study was designed to construct a predictive model to explain quality of life of stomach cancer patients with gastrectomy. Methods: Data were collected from July 10 to August 30, 2013 through survey using self-reported questionnaires. A total of 218 patients with gastrectomy was recruited from three different hospitals. Outcome variables were exogenous ones (self efficacy and social support) and endogenous ones (depression, perceived health status, self care behavior, and quality of life). Results: Goodness-of-fit of the hypothetical model was $x^2=143.37$, RMSEA=.07 CFI=.95, TLI=.93 SRMR=.05. Self care behavior, depression and perceived health status had significant direct effects on quality of life. Self efficacy and social support were affected quality of life indirectly. These variables explained 67.9% of total variance of quality of life, and self-care behavior was the most influential factor for quality of life. Conclusion: The findings of this study suggested that self care behavior must be considered as an intervention strategy to improve quality of life. Also a development of a specific intervention program to promote self efficacy and control depression for patients with gastrectomy is essential to facilitate their self care behaviors.

• Korean Journal of Adult Nursing
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• v.28 no.6
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• pp.619-627
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• 2016

Purpose: This study was to test a structural model of spirituality and the quality of life of stroke survivors' caregivers in order to provide guidelines for the development of intervention and strategies to improve their quality of life. Methods: Data were collected from 133 family caregivers of stroke patients who were hospitalized in C university hospital located in Seoul. Data collection using survey questionnaires was done from May, 2013 to February, 2014. Results: Fitness of the hypothetical model was appropriate. Physical component of quality of life of family caregivers is directly affected by two variables (51.5%), burden and depression. Mental component of quality of life of family caregivers is directly affected by three variables (77.6%), depression, burden, and functional dependence of patients. Depression as well as burden were directly affected by spirituality and functional dependence of patients respectively. Thus, spirituality directly affected depression and burden and indirectly affected the quality of life of family caregivers. Conclusion: Therefore, spiritual intervention to improve the stroke caregivers' quality of life might be necessary to support and strengthen their spirituality as a mediating variable that can contribute to decreasing their depression and burden.

• The Journal of Asian Finance, Economics and Business
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• v.7 no.7
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• pp.279-291
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• 2020

This study aims to develop the concept of innovation models with the marketing channel construct approach, marketing innovation, product segmentation, and customer insight; as well as improvements to the theory of resource-based combined with the method of service-dominant logic. This study approach is based on quantitative descriptive conducted with three stages of testing scenarios. The first test is the mapping of the innovation model construct through testing the validity and reliability with the moderation of customer orientation variables. The second scenario examines the relationship of influence between the independent variables on the dependent variable of 29 hypothetical analysis equation modeling. The unit of analysis was conducted on 497 SMEs involved in the food and beverage sectors, with the criteria being SMEs must have a rating of 4-5 points on the Go-Food applications software. The results shown that: 1) the construct used to develop an innovative model both directly and via moderation is positive and significant; 2) Through a complicated relationship that involves all components of the variable, it outlines a positive and significant effect except for the path of analysis (μ5). The theoretical and managerial implications state that the service-dominant logic approach and resource-based view theory have extreme reliability and interrelations.

• Journal of Korean Academy of Nursing
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• v.43 no.3
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• pp.399-408
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• 2013

Purpose: The study was done to construct and test a structural model to explain primipara breastfeeding behavior. Methods: The participants were 213 primiparas on postpartum wards. Data were analyzed using the PASW 18.0 and AMOS 19.0 programs. Results: Fitness statistics for the hypothetical model were appropriate ($x^2$=38.50, p=.070, GFI=.96, RMSEA=.05, AGFI=.93, NFI=.95, TLI=.97, CFI=.98, PNFI=.57, $x^2/df$=1.43). Breastfeeding behaviors were directly influenced by intention to breastfeed, perceived effectiveness of breastfeeding, and the amount of supplementary feeding. The amount of supplementary feeding had the largest direct impact on breastfeeding behavior. The largest total effect on breastfeeding behavior was intention to breastfeed. The environment of the maternity hospital indirectly influenced breastfeeding behavior. These factors explained 18.9% of variance in the primipara breastfeeding behavior. Conclusion: The results of the study indicate that in order to promote primipara breastfeeding the amount of supplementary feeding immediately after the birth should be limited and an environment that encourages exclusive breastfeeding in the hospital should be provided. The results also suggest it is necessary to provide nursing interventions that increase the intention to breastfeed and the perceived effectiveness of breastfeeding.

• Nuclear Engineering and Technology
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• v.41 no.7
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• pp.929-944
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• 2009

The present study is concerned with the extension of the Effective Convectivity Model (ECM) to the phase-change problem to simulate the dynamics of the melt pool formation in a Light Water Reactor (LWR) lower plenum during hypothetical severe accident progression. The ECM uses heat transfer characteristic velocities to describe turbulent natural convection of a melt pool. The simple approach of the ECM method allows implementing different models of the characteristic velocity in a mushy zone for non-eutectic mixtures. The Phase-change ECM (PECM) was examined using three models of the characteristic velocities in a mushy zone and its performance was compared. The PECM was validated using a dual-tier approach, namely validations against existing experimental data (the SIMECO experiment) and validations against results obtained from Computational Fluid Dynamics (CFD) simulations. The results predicted by the PECM implementing the linear dependency of mushy-zone characteristic velocity on fluid fraction are well agreed with the experimental correlation and CFD simulation results. The PECM was applied to simulation of melt pool formation heat transfer in a Pressurized Water Reactor (PWR) and Boiling Water Reactor (BWR) lower plenum. The study suggests that the PECM is an adequate and effective tool to compute the dynamics of core melt pool formation.