• The Korean Journal of Health Service Management
• /
• v.12 no.1
• /
• pp.1-11
• /
• 2018

Objectives : The purpose of this study was to identify the relationship between decision-making types, public entrepreneurship, and performance management of local public hospital directors. Methods : A questionnaire survey was carried out to assess the dependent variables of directors' decision-making types and public entrepreneurship. The analysis of management performance was carried out through a comparison between 2016 results of, data of variation rate on medical revenue and change rate on medical profit and results in 2015. Results : Results indicated that local public hospital directors who used rational decision-making showed better performance management. The analysis showed that enterprise had a greater positive effect (+) on variation rate of medical revenue than that of innovation. However, innovation had a higher positive effect (+) on change rate of medical profit than that of enterprise. These results suggest that innovation and enterprise have a major influence on performance management. Conclusions : The survey used for this study suggests that an education and training program is needed to improve public hospital directors' ability for rational decision-making, public entrepreneurship and performance management. Additionally, the policy change guaranteeing autonomy within the proper range is demanded that Local Public Hospital Director having spirit of innovation and enterprise achieves peak capacity and have responsibility for management.

• Asia pacific journal of information systems
• /
• v.6 no.1
• /
• pp.39-74
• /
• 1996

Most of the research on a group decision support system [GDSS] has focused on directly examining its effect on the decision outcomes. Under this research framework, however, the role of group interaction process is largely ignored. This study focuses on the effect of the group interaction process on decision-making performance when a GDSS is used as the only medium for group interaction. Specifically, this study sought to determine whether significant relationships exist between the quality of the decision and the decision functions, contingent phases, and different decision paths. Natural interaction processes of decision -making groups was simulated in an experimental setting in which volunteer subjects from several business classes were assigned to dispersed three-person groups undertook the experimental task via a decision network. A baseline GDSS was developed for this setting. The results of this study confirmed earlier studies in a non - GDSS setting to suggest significant effects of decision functions and contingent phases on the quality of decision but no significant relationship between decision path and the quality of group decision.

• Korean Management Science Review
• /
• v.11 no.2
• /
• pp.185-206
• /
• 1994

This paper investigated, using a flexible approach, the effects of the psychological type of the decision maker and the advanced format of information presentation on decision maker performance in a computer-simulated production game. The current sutdy was guided by a model derived from a general model developed by Chervany, Dickson, and Kozar(1972). The experimental model had two dependent variables; total profit and decision making time. Three independent variables representing the psychological type of the decision maker, the report format, and decision aids were used in this study.

• The Journal of Information Technology
• /
• v.3 no.1
• /
• pp.45-59
• /
• 2000

This study evaluates empirically differences of performance in the two types of the decision-making. There exist implied noises in the information but consensus mitigates or clears noises from available information in the decision-making process. Decision-making peformance depends on information quality. Therefore the higher quality information are used, the more peformance decision-makers have. The results of this study shows that group decision-making is better than individual in decision making performance. It indicates that consensus mitigates or clears noises in the information. As variant individuals, however, have different performance, individual decision-makers also have different ability in analyzing information.

• Journal of the Korea Society of Computer and Information
• /
• v.27 no.5
• /
• pp.21-28
• /
• 2022

All health problems that occur in the circulatory system are refer to cardiovascular illness, such as heart and vascular diseases. Deaths from cardiovascular disorders are recorded one third of in total deaths in 2019 worldwide, and the number of deaths continues to rise. Therefore, if it is possible to predict diseases that has high mortality rate with patient's data and AI system, they would enable them to be detected and be treated in advance. In this study, models are produced to predict heart disease, which is one of the cardiovascular diseases, and compare the performance of models with Accuracy, Precision, and Recall, with description of the way of improving the performance of the Decision Tree(Decision Tree, KNN (K-Nearest Neighbor), SVM (Support Vector Machine), and DNN (Deep Neural Network) are used in this study.). Experiments were conducted using scikit-learn, Keras, and TensorFlow libraries using Python as Jupyter Notebook in macOS Big Sur. As a result of comparing the performance of the models, the Decision Tree demonstrates the highest performance, thus, it is recommended to use the Decision Tree in this study.

• Journal of Korean Academy of Nursing Administration
• /
• v.19 no.5
• /
• pp.613-621
• /
• 2013

Purpose: To identify the extents of nursing professionalism, clinical decision making abilities and job performance of advanced practice nurses and investigate the relationship among the variables Methods: Participants, selected by a convenience sampling method, were 135 advanced practice nurses working in 4 tertiary care general hospitals in 'B' Metropolitan City and in 1 tertiary care general hospital in 'J' city. Data collection was done from January 15 to February 28, 2013 using self-reporting questionnaires. Results: The average score for nursing professionalism of study participants was $81.19{\pm}7.56$. for clinical decision making abilities, $140.42{\pm}9.62$ and for job performance, $102.54{\pm}10.30$. These averages are relatively high. The relationship between the extent of nursing professionalism and the extent of clinical decision making abilities showed an intermediate level positive correlation (r=.45, p<.001). The relationship between the extent of nursing professionalism and the extent of job performance was also an intermediate level positive correlation (r=.42, p<.001). The extent of clinical decision making abilities and the extent of job performance was an intermediate level positive correlation (r=.41, p<.001). Conclusion: Developing a program, which can improve nursing professionalism and clinical decision making abilities of nurse, is required to enhance their job performance.

• The Research Journal of the Costume Culture
• /
• v.21 no.3
• /
• pp.401-412
• /
• 2013

The purpose of this study was to investigate the effects of female applicant's facial attractiveness and feminine-masculine clothing image on job performance evaluation and hiring decision. The research design of study consisted of 3(facial attractiveness high, middle, low)${\times}$2(feminine and masculine clothing image) factorial design. The subject consisted of 243 persons whose occupation were mid-sized companies' administrator in Gwangju and Seoul City. The data were analyzed by factor analysis, Duncan test, ANOVA, t-test. The results of this study were as follows. First, three factors emerged to account for the job performance evaluation. These factors were given the titles of task performance, cooperation and self-management factors. Second, applicant's facial attractiveness exerted significant positive effect on self-management and significant negative effect on cooperation. Third, applicant's facial attractiveness exerted significant effect on hiring decision. Finally, the interaction effect of female applicant's facial attractiveness and feminine-masculine clothing image on job performance evaluation and hiring decision were not significant.

• Asia pacific journal of information systems
• /
• v.15 no.3
• /
• pp.163-186
• /
• 2005

When firms are confronted with IT investment decision-makings, technical or financial factors are widely considered. However, based on sociotechnical systems theory, it is argued that in addition to the traditional factors, social issues must be considered in the IT investment decision-makings. Even though the strategic criteria of social issues within organization are important for IT investment decision-makings, the social or organizational issues are hardly considered in IT implementation and adoption(Ryan and Harrison, 2000). The objective of this study is to empirically verify how the comprehensive consideration of both of technical and organizational issues related with IT investment affects firm performance through its impact on IT technical capability and IT personnel skills. Senior managers of 153 Korean firms were surveyed, and the collected data were analyzed with PLS technique. The results of the PLS path analysis show that the comprehensive consideration of the technical and social issues affected indirectly firm performance through IT technical capability and IT personnel skills. It is found that the comprehensive consideration had a significant impact on IT technical capability and IT personnel skills, and that IT technical capability and IT personnel skills affected firm performance. IT personnel was also found to affect IT technical capability. Finally, this study found that the consideration of social factors had greater impacts on firm performance than that of technical factors.

• International Journal of Advanced Culture Technology
• /
• v.11 no.3
• /
• pp.310-314
• /
• 2023

The purpose of this study is to predict the remaining capacity of lithium-ion batteries and evaluate their performance using five artificial intelligence models, including linear regression analysis, decision tree, random forest, neural network, and ensemble model. We is in the study, measured Excel data from the CS2 lithium-ion battery was used, and the prediction accuracy of the model was measured using evaluation indicators such as mean square error, mean absolute error, coefficient of determination, and root mean square error. As a result of this study, the Root Mean Square Error(RMSE) of the linear regression model was 0.045, the decision tree model was 0.038, the random forest model was 0.034, the neural network model was 0.032, and the ensemble model was 0.030. The ensemble model had the best prediction performance, with the neural network model taking second place. The decision tree model and random forest model also performed quite well, and the linear regression model showed poor prediction performance compared to other models. Therefore, through this study, ensemble models and neural network models are most suitable for predicting the remaining capacity of lithium-ion batteries, and decision tree and random forest models also showed good performance. Linear regression models showed relatively poor predictive performance. Therefore, it was concluded that it is appropriate to prioritize ensemble models and neural network models in order to improve the efficiency of battery management and energy systems.

• Proceedings of the Korea Committee for Ocean Resources and Engineering Conference
• /
• 2006.11a
• /
• pp.277-280
• /
• 2006

Most real world design evaluation and risk-based decision support combine quantitative and qualitative (linguistic) variables. Decision-making based on conventional mathematics that combines qualitative and quantitative concepts always exhibit difficulty in modelling actual problems. The successful selection process for choosing a design/procurement proposal is based on a high degree of technical integrity, safety levels and low costs in construction, corrective measures, maintenance, operation, inspection and preventive measures. However, the objectives of maximising the degree of technical performance, maximising the safety levels and minimising the costs incurred are usually in conflict, and the evaluation of the technical performance, safety and costs is always associated with uncertainties, especially for a novel system at the initial concept design stage. In this paper, a design-decision support framework using a composite structure methodology grounded in approximate reasoning approach and evidential reasoning method is suggested for design evaluation of machinery space of a ship engine room at the initial stages. It is a Multiple Attribute Decision-Making (MADM) or Multiple Criteria Decision Making (MCDM) framework, which provides a juxtaposition of cost, safety and technical performance of a system during evaluation to assist decision makers in selecting the winning design/procurement proposal that best satisfies the requirement in hand. An illustrative example is used to demonstrate the application of the proposed framework.