• The Journal of Korean Academic Society of Nursing Education
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• v.22 no.4
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• pp.441-451
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• 2016

Purpose: This study aimed to examine the effects of personality characteristics and decision making type on the self-leadership of nursing students. Methods: The participants were 336 nursing students using a self-report questionnaire. Data were analyzed using a t-test, ANOVA, $Scheff{\acute{e}}$ test, Pearson correlation coefficients, and stepwise multiple regression. Results: There were significant positive correlations between self-leadership and extraversion (r=.50, p<.001), agreeableness (r=.22, p<.001), conscientiousness (r=.60, p<.001), openness to experience (r=.36, p<.001), and rational style (r=.47, p<.001). However the correlation between self-leadership and dependent style was significantly negative (r=-.11, p=.044). Conscientiousness (${\beta}$=.60, p<.001), extraversion (${\beta}$=.28, p<.001), and rational style (${\beta}$=.21, p<.001), openness to experience (${\beta}$=.18, p<.001), and degree of leadership level (${\beta}$=.10, p=.020) were identified as factors affecting self-leadership. The explanation power of this regression model was 50.0% and it was statistically significant (F=67.52, p<.001). Conclusion: The results of this study indicated that effective self-leadership programs should be developed by including conscientiousness, extraversion, openness to experience, and rational decision making.

• Proceedings of the KIEE Conference
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• 1997.07c
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• pp.891-893
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• 1997

In this paper an intelligent power transformer protective relaying algorithm based on Fuzzy Decision-Making is presented. The introduced protection algorithm contains several internal fuzzy rule-bases including bpa(Basic Probability Assignment: m) which are subject to off-line pre-installation by the analysis of the transformer transient characteristics for detecting the internal fault. Dempster-Shafer's rule of combination is used for the inference method with rules to decide the situation of a transformer, The proposed algorithm immunes to the saturation of transformer, inrush conditions, over excitation, and external fault. The included results of testing show practically sufficient sensitivity and selectivity of the proposed algorithm.

• Journal of Advanced Marine Engineering and Technology
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• v.34 no.3
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• pp.407-412
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• 2010

According to the remarkable advances in sonar technology, positioning capabilities and computer processing power we can accurately image and explore the seafloor in hydrography. Especially, Multibeam Echo Sounder can provide nearly perfect coverage of the seafloor with high resolution. Since the mid-1990's, Multibeam Echo Sounders have been used for hydrographic surveying in Korea. In this study, new marine data set as an effective decision-making tool in various fields was proposed by visualizing and combining with Multibeam sonar data and marine spatial data sets such as satellite image and digital nautical chart. The proposed method was tested around the port of PyeongTaek-DangJin in the west coast of Korea. The Visualization and fusion methods are described with various marine data sets with processing. We demonstrated that new data set in marine GIS is useful in safe navigation and port management as an efficient decision-making tool.

• Nuclear Engineering and Technology
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• v.54 no.1
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• pp.414-422
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• 2022

Presented in this paper is a methodology for combining a Bayesian statistical approach with Data Quality Objectives (a structured decision-making method) to provide increased levels of confidence in analytical data when approaching a waste boundary. Development of sampling and analysis plans for the characterisation of radioactive waste often use a simple, one pass statistical approach as underpinning for the sampling schedule. Using a Bayesian statistical approach introduces the concept of Prior information giving an adaptive sample strategy based on previous knowledge. This aligns more closely with the iterative approach demanded of the most commonly used structured decision-making tool in this area (Data Quality Objectives) and the potential to provide a more fully underpinned justification than the more traditional statistical approach. The approach described has been developed in a UK regulatory context but is translated to a waste stream from the Fukushima Daiichi Nuclear Power Station to demonstrate how the methodology can be applied in this context to support decision making regarding the ultimate disposal option for radioactive waste in a more global context.

• Journal of the Korean Society of Clothing and Textiles
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• v.19 no.1
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• pp.115-128
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• 1995

The purpose of this study was to investigate the role structure of husband and wife on husband's clothing purchase. For the study, a questionnaire was developed to measure the influence structure and clothing evaluative criteria of husband's clothing purchase and psychological and demographic characteristics of husband. The Purchase influence structure can be defined by applying the concept of Wolfe's power pattern to decision making about buying behavior. Influence structure is the pattern in which influence is distributed among family buying center members for each purchasing decision making item. The analysis was conducted on the basis of 310 couples responces. The result of this study ware as follows; 1. The majority of husband's clothing items were an absolute autonomic·decision product Exceptionally underwear was wife-dominated. The purchase influence structure of husband' s clothing purchase varied on stages in the decision making process. Wife was involved considerably in gathering information search and real purchasing stage. 2. According to the degree of husband and wife influence on discussion stage and final decision stage, consumers were categorized into five types. Husband's psychological characteristics such 3s shopping interest, clothing involvement, importance of mutual satisfaction in purchasing and demographic characteristics were significantly different among types.

• Journal of Korean Institute of Industrial Engineers
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• v.32 no.2
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• pp.141-152
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• 2006

This paper presents the development of a decision model to examine the optimal repair action for a deteriorating system. In order to make a reasonable decision, it is necessary to perform an analysis of the uncertainties embedded in deterioration and to evaluate the repair actions based on the expected future cost. Focusing on the power law failure model, the uncertainties related to deterioration are analyzed based on the Bayesian approach. In addition, we develop a decision model for the optimal repair action by applying a repair cost function. A case study is given to illustrate a decision-making process by analyzing the loss incurred due to deterioration.

• Journal of Convergence for Information Technology
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• v.10 no.9
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• pp.62-70
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• 2020

The purpose of this study was to investigate the degree of social support, career decision-making self-efficacy, and Job-Seeking Stress of nursing students, and identify influencing factors of Job-Seeking Stress. A convenience sample of 228 nursing students was conducted from in three departments of nursing. Data were analyzed through descriptive statistics, t-test, ANOVA, Scheffe test, Pearson's correlation coefficient, and multiple regression analysis using IBM SPSS 21.0 program. The higher the social support and career decision self-efficacy, the lower the Job-Seeking Stress. The factors influencing Job-Seeking Stress were social support, first hope career, job readiness, career decision-making self-efficacy, and the explanatory power of these variables for Job-Seeking Stress was 19%. Therefore, in order to prevent, cope with, and mitigate the Job-Seeking Stress of nursing students, it is necessary to develop and apply differentiated Career education programs to increase social support and career decision-making self-efficacy.

• Journal of Convergence for Information Technology
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• v.12 no.5
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• pp.62-70
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• 2022

This study was attempted to understand the effect of university students' psychological well-being and interpersonal competence on their career decision-making self-efficacy. The participants of this study were 154 university students, and data collection was conducted from November 1 to December 10, 2019. The collected data were analyzed using x²-test, t-test, ANOVA, Pearson's correlation coefficients, and stepwise multiple regression. Psychological well-being and interpersonal competence were found to be significant influencing factors on career decision-making self-efficacy and the explanation power was 41.6% (F=66.48, p<.001). When establishing a program that can improve career decision-making self-efficacy of university student, psychological well-being and interpersonal competence, which are factors that affect career decision self-efficacy revealed through the results of this study, should be considered.

• Journal of Veterinary Clinics
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• v.27 no.1
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• pp.29-34
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• 2010

To examine the attitude of students toward animals and its relation to veterinary ethical decision making, 302 pre-veterinary and veterinary students of three national universities (Seoul, Chungbuk and Kyungsang National University) were requested to answer the Animal Attitude Scale Test, an indicator of one's pro-animal attitude. A significant gender difference in the AAS scores was found with higher scores in females (female vs. male, 65.27 vs. 57.40; p < 0.0001). The students who have companion animals had higher AAS scores (62.55) than those who donot (58.03, p < 0.0001). However, years of study and experience with animal protection activities did not affect the AAS scores. The correlation between the attitude toward animals and ethical decision making was found in the investigation with two cases of a veterinary ethical dilemma: the medical treatment of a cow in its last gestation stage with ocular squamous cell carcinoma and the euthanizing of a 12 year-old dog with urinary incontinence. The students tend to support for veterinarians to influence clients' decisions in treatment by using their power as medical professionals, even if doing so could partly damage the interests of the clients or patients. The significant correlations between the AAS scores and veterinary ethical decision making were found in this study, which implies that the attitude toward animals should be considered as one of the major factors in making ethical decisions in veterinary practice.

• The Journal of the Convergence on Culture Technology
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• v.7 no.3
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• pp.27-34
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• 2021

The purpose of this study was to investigate the effect of ethical decision making confidence in nursing students and to provide the basic data of to control ethical decision making confidence. Data were collected from 205 nursing students in B city and analyzed by t-test, ANOVA, Pearson correlation coefficient, and multiple regression using SPSS/WIN 22.0. The degree of ethical decision making confidence in nursing students was 3.83±.62. There were significant differences in ethical decision making confidence with respect to gender(t=2.118, p=.037), achivement of life(F=3.851, p=.023). There was positive correlation between ethical decision making confidence and ethical value(r=.153, p=.028), critical thinking disposition(r=.477, p<.001), and professional self concept(r=.566, p<.001). The factors affecting the ethical decision making confidence of the study subjects were critical thinking disposition(β=.254, p<.001), professional self concept(β=.418, p<.001), with an explanatory power of 35.1%. Through this research requires the fellow study to determine the factors affecting ethical decision making confidence of nursing students.