• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.10 no.1
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• pp.91-99
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• 2011

RFID is an important information technology that enables changes in existing methods of logistics. In this study, a decision making model for the introduction of RFID by domestic food & beverage businesses has been developed in order to enhance the efficiency of logistics activities. The general business states and effects expected from the introduction of RFID by SCM sector of 167 domestic food and beverage businesses were surveyed and based on the results, it was identified that generally positive answers were received. A decision making model for the introduction of RFID was derived and based on the results, it was identified that major influencing factors affecting the intention to introduce RFID were "the number of personnel" and "costs to introduce RFID".

• Korean Journal of Adult Nursing
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• v.27 no.1
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• pp.63-72
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• 2015

Purpose: The aim of this study was to determine whether job-seeking stress, career decision-making self-efficacy, self-esteem, and academic achievement had an influence on nursing students' happiness. Methods: The participants were 147 nursing students in D city. Data were collected with a structured questionnaire. The data were analyzed with SPSS/WIN 19.0 using ANOVA, t-test, Pearson correlation, and stepwise multiple regression. Results: Factors that had an influence on happiness included major satisfaction(highly unsatisfied ${\beta}=-.251$, p=.001), average monthly family income(between four and six million won ${\beta}=.222$, p=.002), career decision-making self-efficacy(${\beta}=.198$, p=.010), major satisfaction(satisfied ${\beta}=.196$, p=.006), and subjective health(unhealthy ${\beta}=-.167$, p=.020). These factors explained 33.5% of the variance in student happiness. Conclusion: The results of this study reveal that career decision-making self-efficacy, self-esteem, major satisfaction, and job-seeking stress were important intrinsic factors in the happiness of nursing students. Thus, it is necessary to help these students attain more self-efficacy, self-esteem, and major satisfaction rather than focusing on academic achievement in order to increase their happiness.

• 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.

• Journal of Korean Critical Care Nursing
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• v.9 no.1
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• pp.15-26
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• 2016

Purpose: The aim of this study was to identify thinking strategies in the complicated decision-making process based on real patient-based data of triage nurses in the emergency department (ED). Methods: This study used the 'think aloud' method to collect data from 8 triage nurses from one general hospital ED in South Korea. The data were analyzed with protocol analysis using thinking strategies. Results: The triage process was divided into three stages. The first stage consisted of 8 thinking strategies, including searching for information. They used intuition based on directly observed concepts for identifying a crisis. The second stage consisted of 17 thinking strategies related to the decision-making process. They assessed patients and generated a hypothesis to try to understand their health problems through analytic thinking. The third stage consisted of 10 thinking strategies, including qualifying. They considered the situation of the ED and properly triaged the patients. During the triage process, they frequently used judging the value and searching for information on 17 thinking strategies. Conclusions: Triage nurses demonstrated various connected thinking strategies for each stage. Based on our results, further studies should be done to develop a triage education program.

• The Korean Journal of Emergency Medical Services
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• v.22 no.1
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• pp.61-72
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• 2018

Purpose: The purpose of the study was to analyze the effects of ethical decision making factors on vocational ethics and job satisfaction of firefighters and to provide basic data to promote appropriate vocational ethics and improve job satisfaction. Methods: A self-reported questionnaire was filled out by firefighters in D metropolitan area from May 7 to 15, 2017. A total of 410 data were analyzed using SPSS 24.0 program. Results: Among influential factors of ethical decision making, "ethical environment of organization"(${\beta}=.266$), "coworkers' influence" (${\beta}=.216$), and "managers' ethical competence" (${\beta}=.148$), 'compensation and punishment'(${\beta}=.097$) had a positive effect on vocational ethics, while "coworkers' influence" (${\beta}=.281$), "ethical environment of organization" (${\beta}=.274$), and "managers' ethical competence" (${\beta}=.143$) had a positive effect on job satisfaction. Vocational ethics was found to have a significantly positive effect on job satisfaction (B=.657, t=8.802, p=.000). Conclusion: It is necessary to promote vocational ethics for improvement of firefighters' job satisfaction, and appropriate ethics education should be provided. It is important to actively manage the factors affecting ethical decision making.

• Journal of the Korean Society of School Health
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• v.36 no.3
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• pp.92-102
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• 2023

Purpose: The purpose of this study was to investigate the mediating effect of college adjustment on the relationship between self-leadership and career decision-making self-efficacy in first-year nursing students. Methods: This descriptive research involved 250 nursing freshmen at two local universities and analyzed data from the final 170 students. Descriptive statistics, the independent t-test, the Kruskal-Wallis test, the Mann-Whitney U test, the Pearson correlation coefficient and multiple regression were employed for data analysis. The mediating effect was assessed following Baron and Kenny's three-step verification procedure, and the statistical significance of the mediating effect was determined by bootstrapping. Results: Academic adjustment (β=.24, p<.001) and institutional adjustment (β=.20, p=.004), sub-factors of college adjustment, were identified to have a partial mediating effect on the relationship between the subject's self-leadership and career decision-making self-efficacy (β=.47, p<.001). Conclusion: Enhancing the career decision-making self-efficacy of first-year nursing students could become more effective through the development of programs focused on career exploration and counseling, which include content to promote self-leadership and college adjustment (academic adjustment and institutional adjustment).

• Nuclear Engineering and Technology
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• v.35 no.4
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• pp.318-335
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• 2003

Expert judgment is frequently employed in the search for the solution to various engineering and decision-making problems where relevant data is not sufficient or where there is little consensus as to the correct models to apply. When expert judgments are required to solve the underlying problem, our main concern is how to formally derive their technical expertise and their personal degree of familiarity about the related questions. Formal methods for gathering judgments from experts and assessing the effects of the judgments on the results of the analysis have been developed in a variety of ways. The most important interest of such methods is to establish the robustness of an expert's knowledge upon which the elicitation of judgments is made and an effective trace of the elicitation process as possible as one can. While the resultant expert judgments can remain to a large extent substantiated with formal elicitation methods, their applicability however is often limited due to restriction of available resources (e.g., time, budget, and number of qualified experts, etc) as well as a scope of the analysis. For this reason, many engineering and decision-making problems have not always performed with a formal/structured pattern, but rather relied on a pertinent transition of the formal process to the simplified approach. The purpose of this paper is (a) to address some insights into the balanced use of formally structured and simplified approaches for the explicit use of expert judgments under resource constraints and (b) to discuss related decision-theoretic issues.

• Proceedings of the Korea Association of Information Systems Conference
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• 2002.11a
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• pp.289-312
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• 2002

This study suggests the Link weight analysis approach to choose input variables and an integrated model to make more accurate bankruptcy prediction model. the Link weight analysis approach is a method to choose input variables to analyze each input node's link weight which is the absolute value of link weight between an input nodes and a hidden layer. There are the weak-linked neurons elimination method, the strong-linked neurons selection method in the link weight analysis approach. The Integrated Model is a combined type adapting Bagging method that uses the average value of the four models, the optimal weak-linked-neurons elimination method, optimal strong-linked neurons selection method, decision-making tree model, and MDA. As a result, the methods suggested in this study - the optimal strong-linked neurons selection method, the optimal weak-linked neurons elimination method, and the integrated model - show much higher accuracy than MDA and decision making tree model. Especially the integrated model shows much higher accuracy than MDA and decision making tree model and shows slightly higher accuracy than the optimal weak-linked neurons elimination method and the optimal strong-linked neurons selection method.

• Journal of the Korean Operations Research and Management Science Society
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• v.19 no.3
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• pp.53-62
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• 1994

Complex decision-making problems are often characterized by multicriteria phenomena and fuzziness inherent in the structure of information and therefore suitable scientific solution methods. Especially, when similar dependent criteria are introduced, the problems become more complex. This paper presents a fuzzy intersectional dependence relation model for this kind of multicriteria decision-making problems. The model we propose is based on the fuzzy relation from fuzzy systems theory. In ths case of introducing similar dependent criteria, the rank reversal by distortion of weights is hard to occur by our proposed method. A numerical example is presented to illustrate the use of the model.

• International Journal of Highway Engineering
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• v.14 no.4
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• pp.103-111
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• 2012

PURPOSES : Effective speed management is necessary for preventing traffic crashes on the road. Speed hump is known as an effective tool for managing speed. Unlike existing studies which are mainly focused on humps for vehicles, this study proposed a novel method to determine design parameters for bicycle speed humps based on a multi-criteria decision making process. METHODS : Three objectives including the effectiveness of speed reduction, bicycle safety, and user's comfortability were incorporated into the proposed evaluation framework for determining design parameters. A multi-criteria value function was also derived and utilized as a part of the proposed method. RESULTS : Extensive simulations and statistical tests show that an integrated bike-box way is identified as the best in terms of operational efficiency and safety. CONCLUSIONS : It is expected that the outcomes of this study can be a valuable precursor for developing design guidelines for bicycle road and facility.