• Journal of the Korea Institute of Military Science and Technology
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• 제12권5호
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• pp.557-562
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• 2009

Weapon system currently considers the research about effect analysis including cost effectiveness methodology for a budget management and an achievement of the military strategy goal. So that, this study considers the theoretical background, strength and weakness of several Multi-Criteria Decision Making, and an effect analysis of weapon system. And AHP(Analytic Hierarchy Process) is selected for the best effect analysis methodology of weapon system. Therefore, we applied AHP to the case study of the new generation Multiple Launcher Rocket System, performing the analysis of cost effectiveness methodology. Using AHP and cost effectiveness methodology, we propose the actual and proper decision making result.

• Journal of the Korea Institute of Building Construction
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• 제13권2호
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• pp.148-158
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• 2013

Generally, building construction projects have a complex decision-making process because of the participation of various agents. In this situation, a final decision is arrived at by relying on subjective judgments based on the experience of project participants. For this reason, a method of assessing the objectivity of opinions is needed. In previous studies, the multi-criteria decision making method was applied to arrive at a final decision objectively, but this method has a limitation, in that the experience of each decision maker is not considered differently in the decision making process. Therefore, this study proposed a theoretical model using the S-shaped growth curve and regression analysis by building construction project type to quantitatively estimate decision-making reliability according to the experience of individual project participant`s. The developed model could be added to the Multi-criteria decision making method, and secure the objectivity and reliability of project participants' final opinion.

• Quality Improvement in Health Care
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• 제24권1호
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• pp.40-52
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• 2018

Purpose: This study aimed to identify the factors influencing on patients' participation in their treatment decision making, and influences of patients' experience on their health status. Methods: Data from the 2015 Korea National Health and Nutrition Examination Survey were used for the analysis. Multivariate logistic regression analysis was conducted to identify the factors influencing on patients' participation in their treatment decision making. The influences of patients' experience on their health status were analyzed using multiple linear regression analysis. Results: Of the 4,497 respondents, 3,698 (82.2%) respondents mostly participated in their treatment decision making. Those who experienced enough visit duration, physicians' explanation easy enough to understand, or more opportunities to ask were more likely to participate in their treatment decision making. After controlling for their sociodemographic factors and health status, those who had better experience during the outpatient visits were more likely to have better self-rated health or quality of life. Conclusion: To improve patients' health outcomes and satisfaction of health care uses, it is necessary to provide better experiences and expand the opportunities for participation in treatment decision making during their hospital visits.

• Journal of Korean society of Dental Hygiene
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• 제22권1호
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• pp.73-79
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• 2022

Objectives: This study aimed to analyze the correlation among dental hygiene students' life stress, grit, and career decisionmaking self-efficacy, and to identify the factors influencing career decision-making self-efficacy. Methods: Data were collected through a survey from October 19 to November 7, 2020, targeting 196 students enrolled in dental hygiene departments in Daejeon and Daegu. Life stress, grit, and career decision-making self-efficacy were measured. For data analysis, the descriptive statistics, t-test, ANOVA, Pearson's correlation coefficient, and stepwise multiple regression analysis were performed using SPSS/WIN 24.0. Results: Life stress was 2.12 points, grit was 3.07 points, and career decision-making self-efficacy was 3.43 points. Career decision-making self-efficacy was influenced by satisfaction with the course department, as well as life stress and grit; the most influential factor was found to be grit. These variables could explain career decision-making self-efficacy by 23.8%. Conclusions: For students to advance successfully into society as dental hygienists, a career decision-making self-efficacy promotion program that can help students achieve self-confidence and establish career goals should be developed. additionally, a program that can enhance grit should be included in this development.

• Journal of Smart Tourism
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• 제1권4호
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• pp.3-7
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• 2021

Although Geographic Information Systems (GISs) have commonly been employed as powerful tools for manipulating and displaying spatial data in community-based tourism, a variety of GIS functions still lack the capabilities required to assist multiple decision makers to come to consensual decisions. In this study, I propose an alternative approach: spatial multicriteria decision analysis (SMCDA) that could reflect diverse decision makers' preferences by integrating GISs and multicriteria decision analysis (MCDA). I review the small number of case studies that have employed SMCDA, with a focus on the roles of GISs and MCDA. The methodological integration of GISs and MCDA into multi-spatial decision support systems offers the potential to implement participatory decision-making to solve complex spatial problems in community-based tourism planning, development, and management.

• Journal of the Korean Society for Library and Information Science
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• 제20권
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• pp.163-222
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• 1991

This dissertation are studying the conceptual structure of decision making situation in libraries, by analyzing the library function, decision makings of library and then seeking economic and efficient alternative decision making by programming the· decision making situations, and finally, introducing how to apply management information system or decision making support system. For this purpose, in order to analyzing necessary factors for the decision making system, the questionnaire used Lickert method were distributed to 400 librarians of 36 universities in Seoul by means of mail. 193 librarians, $48\%$ of the questionnaire, are returned are studied by using 'SYSTAT' statistical software to figure out the factors of the decision making system. This dissertation was put six hypotheses and tested with the returned questionnaire. The following five result can be asserted. First, to the higher degree of the librarians' participation in the important library decision makings, the quality of formal library services are improved regardless of seniority of the work. Secondly, the t-test results show that all of t-test scores of seniority of the work, educational background, and responsibilities of the work are exceeding significant level and perception of decision making was proved to be different depending on seniority of the work, educational background, and responsibilities of the work in libraries. Thirdly, as the results of factor af factor analysis, the encouragement on participation in the library academic activities, the extent to get useful information about performances of library and the improvements of library works were grouped by similar posibilities of distribution and therfore the academic activities, the collection of information and the improvement of library performances is proved to be interrelational each other. Fourthly, the fifth hypothesis of the close relationship between the decision making situation and types of advisor by it was more or less interrelational, but their relationship was not seen some significancies. Lastly, as the dynamic organization of library management forming a special commitee or a project team with librarian can improve the extent and quality of the librarian's participation in the decision making of library works, and thus library will become to performance more rational and effective library management.

• International journal of advanced smart convergence
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• 제11권4호
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• pp.68-80
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• 2022

Since the launch of AI, technology development to implement complete and sophisticated AI functions has continued. In efforts to develop technologies for complete automation, Machine Learning techniques and deep learning techniques are mainly used. These techniques deal with supervised learning, unsupervised learning, and reinforcement learning as internal technical elements, and use the Big-data Analysis method again to set the cornerstone for decision-making. In addition, established decision-making is being improved through subsequent repetition and renewal of decision-making standards. In other words, big data analysis, which enables data classification and recognition/recognition, is important enough to be called a key technical element of AI function. Therefore, big data analysis itself is important and requires sophisticated analysis. In this study, among various tools that can analyze big data, we will use a Python program to find out what variables can affect addiction according to smartphone use in a decision tree environment. We the Python program checks whether data classification by decision tree shows the same performance as other tools, and sees if it can give reliability to decision-making about the addictiveness of smartphone use. Through the results of this study, it can be seen that there is no problem in performing big data analysis using any of the various statistical tools such as Python and R when analyzing big data.

• The Research Journal of the Costume Culture
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• 제5권3호
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• pp.26-35
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• 1997

Consumers use a variety of decision making styles. The purpose of this was to identify the decision making styles of fashion leaders. Self-report scales were used to measure fashion leadership and decision making styles for 236 female college students. The data were analyzed using factor analysis and t-tests. The results indicated that fashion leaders have unique decision making styles of recreational shopping/fashion conscious, brand-loyal and high quality conscious. The implications of these findings for fashion merchandising are discussed.

• Journal of Korean Academy of Nursing Administration
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• 제14권2호
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• pp.144-149
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• 2008

Purpose: The aim of this study was to testify correlations between critical thinking disposition and decision making styles. Methods: The subjects of this study were 193 freshman nursing students in the 1 nursing school located in Incheon area. The data were collected by self-reporting questionnaires. The data were analyzed using descriptive statistics and Pearson correlation coefficient analysis. Results: The score of critical thinking disposition was revealed 3.96 points. The highest was inquisitiveness, the lowest was systematicity. The most frequent decision making style was revealed a rational decision making. The next was dependant decision making, intuitional decision making as follows. The critical thinking disposition and rational decision making had a statistically significant positive correlation. However the critical thinking disposition and dependant decision making had a statistically significant negative correlation. Conclusion: With these findings, we are found that the more increasing critical thinking disposition, the more developing rational decision making. It will suggested that the program for increasing nursing student's critical thinking disposition focused on systematicity, analyticity and truth seeking in critical thinking sub categories.

• Journal of the Korean Society of Clothing and Textiles
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• 제32권5호
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• pp.766-776
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• 2008

The purpose of this study was 1) to identify the reasons for delay of decision making and the shopping information in internet shopping, 2) to classify consumers based on the clothing benefits, 3) and to examine the differences among consumer groups in the reasons for delay of decision making and the shopping information. The data were collected from a sample of 500 internet shopper aged from 20 to 40. This study used factor analysis, multiple regression analysis, Pearson's correlation analysis, cluster analysis and ANOVA. The results showed that the reasons for delay of decision making consisted of eight factors: Performance risk, Comparison shopping, Economic shopping, Social risk, Uncertainty, Expecting of market change, Product unsatisfaction, Passive shopping. The shopping information consisted of three factors: Product variety, Product information, Additional information. Five factors of clothing benefits were Economy, Figure compensation, Social position, Individuality, and Comfort. The respondents were classified into four groups by five factors of clothing benefits; Individuality seeking group, Low-benefits seeking group, Economy seeking group, Figure compensation/comfort seeking group. There were significant differences among groups in the reasons for delay of decision making and the shopping information among groups. Therefore, marketers need to provide different shopping information for delay closure by target groups.