• Korean Journal of Child Studies
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• v.31 no.1
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• pp.163-177
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• 2010

The purpose of this study was to examine the maintenance of an evaluation accreditation indicator according to child care center teachers' participation in decision making. The subjects of this study were 139 teachers from 12 accredited national, public, private, and corporate child care centers in Seoul and North Gyeongsang Province. The TIP-2 (Teacher Involvement and Participation Scale V.2) and Accreditation Indicator for Child Care Centers were used to measure teachers' participation in decision making and accreditation indicator maintenance. Frequency, mean, standard deviation, one-way ANOVA and scheffe test were used for data analyses. The results revealed that the teachers who rated middle and high level in terms of their participation in decision-making showed higher levels of maintenance of the evaluation accreditation indicator than those with low levels of participation. This finding suggests that teachers' participation in decision making is an important factor for maintaining the quality of child care centers.

• Journal of Information Technology Services
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• v.2 no.2
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• pp.121-134
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• 2003

To improve the quality of the services and to concentrate on the core capability, in public sector the IT outsourcing is recently being vitalized by the institutional support of the government for the entrusting non-government. Because the lots of general studies so far have simply focused on indicating fragmentary factors i.e. economical factors, risk factors, system factors, or induction objects, etc., they are insufficient in making the practical decisions, therefore we indicated systemized model extending over the whole range of the IT outsourcing to support substantial decision makings, and assorted 4 categories and drew considerable 55 factors from the literature study to materialize the previously considerable factors at each decision making stage. And the principal factors were drawn from each decision making category by a group of 11 experts. Besides, a henceforth plan for the application was also presented through an actual example of the IT outsourcing decision making process of 'M', a public enterprise.

• Journal of the Korea Safety Management & Science
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• v.15 no.2
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• pp.243-253
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• 2013

This research paper introduces the application and implementation of medical decision metrics that classifies medical decision-making into four different metrics using statistical diagnostic tools, such as confusion matrix, normal distribution, Bayesian prediction and Receiver Operating Curve(ROC). In this study, the metrics are developed based on cross-section study, cohort study and case-control study done by systematic literature review and reformulated the structure of type I error, type II error, confidence level and power of detection. The study proposed implementation strategies for 10 quality improvement activities via 14 medical decision metrics which consider specificity and sensitivity in terms of ${\alpha}$ and ${\beta}$. Examples of ROC implication are depicted in this paper with a useful guidelines to implement a continuous quality improvement, not only in a variable acceptance sampling in Quality Control(QC) but also in a supplier grading score chart in Supplier Chain Management(SCM) quality. This research paper is the first to apply and implement medical decision-making tools as quality improvement activities. These proposed models will help quality practitioners to enhance the process and product quality level.

• Journal of applied mathematics & informatics
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• v.41 no.5
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• pp.1129-1143
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• 2023

Social media platforms have become an integral part of our daily lives, and they generate vast amounts of data that can be analyzed for various purposes. However, the quality of the data obtained from social media is often questionable due to factors such as noise, bias, and incompleteness. Enhancing data quality is crucial to ensure the reliability and validity of the results obtained from such data. This paper proposes an enhanced decision-making framework based on Business Decision Management Systems (BDMS) that addresses these challenges by incorporating a data quality enhancement component. The framework includes a backtracking method to improve plan failures and risk-taking abilities and a steep optimized strategy to enhance training plan and resource management, all of which contribute to improving the quality of the data. We examine the efficacy of the proposed framework through research data, which provides evidence of its ability to increase the level of effectiveness and performance by enhancing data quality. Additionally, we demonstrate the reliability of the proposed framework through simulation analysis, which includes true positive analysis, performance analysis, error analysis, and accuracy analysis. This research contributes to the field of business intelligence by providing a framework that addresses critical data quality challenges faced by organizations in decision-making environments.

• 한국경영정보학회:학술대회논문집
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• 2008.06a
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• pp.1072-1077
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• 2008

This study is aimed at proposing a new approach to designing UDSS (Ubiquitous Decision Support System) which allows context-awareness and connectivity. In the previous studies, the need to design UDSS and analyze its performance empirically was raised. However, due to the complexity of empirical approaches, there is no study attempting to tackle this research issue so far. To fill this research void, this study proposes a Mobile Delivery System (MDS) as a form of UDSS, empirically analyzing how users perceive its context-awareness and connectivity functions. Especially, to add more rigor to the proposed approach to know how much it works well in the decision-making contexts, we considered three decision making phases (intelligence, design, choice) in the research model. With the valid questionnaires collected from 340 users of the MDS, we induced statistically proven results showing that both context-awareness and connectivity of the proposed UDSS (or MDS) influence the decision making steps positively and then contribute to improving the decision making quality.

• Korean Journal of Occupational Health Nursing
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• v.22 no.4
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• pp.285-294
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• 2013

Purpose: This study aimed to explore professional autonomy, nursing work environment, and clinical decision making ability and to determine predictors of clinical decision making ability among clinical nurses. Methods: A cross-sectional design was used in this study and 263 clinical nurses were selected from advanced-level hospitals with over 500 beds located in D metropolitan city. Independent t-test, ANOVA, Pearson's correlation coefficients and hierarchical multiple regression analyses were done with the SPSS/WIN 20.0 program. Results: Clinical nurses reported moderate levels of professional autonomy, nursing work environment and clinical decision making ability. Marital status, professional autonomy and nursing work environment accounted for 25% of variance in clinical decision making ability required in various clinical settings. Importantly, being married, higher level of professional autonomy, and greater satisfaction with work environment were significantly associated with better decision making ability. Conclusion: Findings indicate that improving the quality of decision making in the healthcare settings requires awareness of the multiple effects of individual, occupational and environmental features. Nurses' ability to make effective clinical decisions may rely on personal characteristics, the degree of autonomy in their job, and nurses' satisfaction with their work environment.

• Journal of Home Health Care Nursing
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• v.21 no.2
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• pp.147-155
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• 2014

Purpose: Clinical decision-making carried out by nurses is a complex process that influences the quality of care provided and various patient outcomes. This study examined the relationship between critical thinking disposition and clinical decision-making abilities in home health advanced practice nurses. Method: The study had a non-experimental correlational design. Data were collected from 100 home health advanced practice nurses in 20 hospitals. Results: The mean critical thinking disposition score was $3.69{\pm}.39$ out of 5 and the mean score for clinical decision-making abilities was $3.48{\pm}.22$ out of 5. In this correlation analysis, a significant positive correlation (r=.58, p<.001) was found between critical thinking disposition and clinical decision-making abilities of home health advanced practice nurses. Conclusion: In order to improve the clinical decision-making ability of home health advanced practice nurses, we need to improve their critical thinking disposition. In order to make this change, appropriate training program are needed to increase the critical thinking disposition and clinical decision-making abilities of home health advanced practice nurses.

• Journal of the Semiconductor & Display Technology
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• v.20 no.2
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• pp.6-13
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• 2021

Cases and studies on the selection method of CTQ are relatively active, but there are few cases or studies on the selection method of CTP which is important in the device industry. In fact, many companies simply select and manage CTP from the point of contact based on their experience and intuition. The purpose of this study is to present an evaluation model and a mathematical decision model for rational and systematic CTP selection to improve the process quality of semiconductor equipment lines. In the evaluation model, AHP (Analytic Hierarchy Process) analysis technique was applied to show objective and quantitative figures, and Fuzzy decision-making model was used to solve the ambiguity and uncertainty in the decision-making process. Decision Value (DV) was presented. The subjects were 22 process factors managed in the Plating Process that the representative equipment line can do. As a result, the evaluation model proposed in this study can support more efficient and effective decision-making for process quality improvement by more objectively measuring the problem of subjective CTP selection in manufacturing sites.

• Journal of the Korea Computer Industry Society
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• v.9 no.1
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• pp.1-10
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• 2008

This treatise wishes to proposal of most suitable about happened patient's disease when a doctor achieves medical treatment action about patient and decision-making methodology that decide treatment does presentation low class informer. That is, when a doctor treats patient, case that do medical examination and treatment to experience about disease at medical examination and treatment process is general. In case is like this, unexpected treatment side effect can be happened doing not consider patient's special quality or conditions. Use a medical decision-making tool to minimize these problem. Treatise that see therefore investigated validity about if arrange medical decision-making system concept, and analyze several tools(decision-making tools) that help in decision-making, and can help in medical examination and treatment decision-making of most suitable.

• Journal of Korean Society for Quality Management
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• v.17 no.2
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• pp.113-120
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• 1989

The purposes of this paper are to compare expert systems and decision support systems, and illustrate the possible benefits when expert systems are integrated into the model base of a decision support systems for supporting decision-makers. Integrating expert systems capability into decision support systems may enhance the quality and efficiency of both computerized systems. This integration can improve selection of model, analysis, model management, judgement, and modeling. Thus the results are much more powerful decision support systems than are presently available.