• Proceedings of the Korea Technology Innovation Society Conference
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• 2002.11a
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• pp.209-224
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• 2002

• Journal of Technologic Dentistry
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• v.38 no.3
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• pp.247-256
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• 2016

Purpose: This study is to analyse the job seeking stress, to see the relationship Between Job Seeking Stress and career decision-making self-efficacy in students of department of dental technology. Method: For this, the students of department of dental technology in daegu and daejeon and wonkwang university selected at May 2016. A question investigation was used in a entry method of self-estimation. Furthermore a total of 151 person was used as final analysis data. Statical analysis was performed with SPSS 22.0. An analysis of frequency, two sample t-test, one-way ANOVA, Multiple regression was used. Results: Firstly, personal expenses affected beneficially statistically the Job Seeking Stress(p<.05). Secondly, sex, Score, Major satisfaction, personal expenses affected beneficially statistically the career decision-making self-efficacy(p<.05). Thirdly, University environment and academic stress in the Job Seeking Stress affected beneficially statistically the career decision-making self-efficacy(choice target). Conclusion: The study found out that there was significant effect when increased to university environment and academic stress in Job Seeking Stress, the career decision-making self-efficacy was decreased. So the study proved that when helping students facing difficulties due to the career decision-making self-efficacy, it is important to decreased their university environment and academic stress.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.16 no.27
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• pp.113-119
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• 1993

The purpose of this study is to develop a analytic procedure of the alternatives for the FMS that consist of high-priced facilities. A procedure to analysis the alternatives are as follows. Stage one is procedure to appraise investment alternatives of FMS and devide factors into strategic, analytic, economic viewpoint and draw upon decision making matrix through normalization Stage two is appraise to normalized alternatives using TOPSIS model among multiple attributes decision making models.

• Proceedings of the Korean Institute of Intelligent Systems Conference
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• 1993.06a
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• pp.1074-1077
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• 1993

The objective of this paper is to develop a fuzzy logic based decision-making system to detect low current faults using multiple detection algorithms. This fuzzy system utilizes a fuzzy expert model which executes an operation without complicated mathematical models. This fuzzy system decides the performance weights of the detection algorithms. The weights and the turnouts of the detection algorithms discriminate faults from normal events. This system can also be a generic group decision-making tool for other areas of power system protection.

• Korean Journal of Construction Engineering and Management
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• v.9 no.5
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• pp.159-167
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• 2008

This study provides a effective approach to the construction management problem with the limited number or amount of available resources using the analytic hierarchy process. Construction management is a series of decision making processes for planning and controling of cost, time and quality as main objectives in construction works. When several activities need the limited same resource at the same time, it is very hard to decide the priority of the activities in the real situations. For that the scientific decision making method and procedure for resource allocation are required. This study solves the resource allocation problem by dealing with the decision making problem which the activities are distributed to multiple projects and under multiple criteria. The analytic hierarchy process is a method devised to solve complex multi-criteria decision problems. The result shows that this study can be effectively used to make decisions in situations involving multiple objectives by evaluating the prioritized ranking and degree of the activity alternatives based on the overall preferences.

• Journal of Korean Institute of Industrial Engineers
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• v.39 no.4
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• pp.260-270
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• 2013

This paper proposes a strategic portfolio model for managing performance of online games. The portfolio matrix is composed of two dimensions: financial performance and non-financial performance. Financial performance is measured by the conventional measure, average revenue per user (ARPU). In terms of non-financial performance, five non-financial key performance indicators (KPIs) that have been widely used in the online game industry are utilized: RU (Register User), VU (Visiting User), TS (Time Spent), ACU (Average Current User), MCU (Maximum Current User). Data envelopment analysis (DEA) is then employed to produce a single performance measure aggregating the five KPIs. DEA is a linear programming model for measuring the relative efficiency of decision making unit (DMUs) with multiple inputs and outputs. This study employs DEA as a tool for multiple criteria decision making (MCDM), in particular, the pure output model without inputs. Combining the two types of performance produces the online game portfolio matrix with four quadrants: Dark Horse, Stop Loss, Jack Pot, Luxury Goods. A case study of 39 online games provided by company 'N' is provided. The proposed portfolio model is expected to be fruitfully used for strategic decision making of online game companies.

• Journal of Korean Clinical Nursing Research
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• v.15 no.2
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• pp.47-56
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• 2009

Purpose: The purpose of this study was to identify the impacts of professional socialization perceived by nursing students on role conflict and professional self-concept. Methods: Using a structured questionnaire, data were collected from 683 nursing students. For data analysis, descriptive statistics, Pearson correlation coefficient, stepwise multiple regression were conducted using SAS program. Results: The mean score of total professional socialization was 3.74 followed by the scores of 'independence', 3.98, 'commitment', 3.80, 'decision making', 3.60, and 'maturity', 3.53. The mean score of total role conflict was 3.72, and professional self-concept was 2.75. Total professional socialization, commitment, and independence perceived by nursing students were positively related to role conflict. Also total professional socialization and total subcategories of professional socialization were positively related to professional self-concept. As a result of stepwise multiple regression analysis, the key determinants of role conflict were found to be 'independence', 'motivation with admission', 'sex', 'desire with working', 'grade' and 'decision making'. The key determinants of professional self-concept were 'decision making', 'commitment', 'satisfaction about nursing', and 'interpersonal relationship'. Conclusion: Through this results, it is necessary to improve professional socialization in order to increase professional self-concept among nursing students.

• International Journal of Quality Innovation
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• v.8 no.2
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• pp.100-114
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• 2007

Decision makers in the service industry must effectively cope with queuing problems, service capacity optimization, service efficiency and service quality problems. This study proposes a computer simulation-enabled MCDM framework that integrates computer simulation analysis, Taguchi method, expert opinion and multiple criteria decision making (MCDM) to assist decision makers in coping with decision problems. In this framework, Taguchi method is adopted to reduce the time required for the simulation experiment. Computer simulation analysis is adopted to obtain useful information for rapid decision-making without interrupting actual production. MCDM is used to select the optimal alternative. The illustrative result is extremely promising.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.20 no.43
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• pp.321-331
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• 1997

Measurement of attributes is often highly subjective and imprecise, yet most MADM methods lack provisions for handling imprecise data. Frequently, decision makers must establish a ranking within a finite set of alternatives with respect to multiple attributes which have varying degrees of importance. The problem is more complex if the evaluations of alternatives according to each attribute are not expressed in precise numbers, but rather in fuzzy numbers. Analysis must allow for lack of precision and partial truth. The advantages of a fuzzy approach for MADM are that a decision maker can obtain efficient solutions all at once without trial and error, and that this approach provides better support for judging the interactive improvement of solutions in comparison with o decision making method. The algorithm used in this study is based on the concepts of vague set theory. Linguistic variables and vague values are used to facilitate a decision maker's subjective assessment about attribute weightings and the appropriateness of alternative versus selection attributes in order to obtain final scores which are called vague appropriateness indices. A numerical example is presented to show the practical applicability of this approach.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.21 no.6
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• pp.144-153
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• 2020

This study evaluated the moral sensitivity, self-assertiveness, ethical decision-making confidence and their correlations, and the factors that influence ethical decision-making confidence among nurses working in a long-term care hospital. Overall, 149 nurses working in a long-term care hospital in G Province were evaluated. The date was collected from November 30 2019 to December 18, 2019 and analyzed using SPSS/WIN 21.0 program. The mean of moral sensitivity among nurses was 4.94, the mean of self-assertiveness was 3.17 and the mean of ethical decision-making confidence was 3.49. The self-assertiveness will, according to the general characteristics, was significantly different according to experienced moral distress, and there was a significant difference in the degree of ethical decision-making confidence according to social positions and experience of ethical education. There were positive correlations between the ethical decision-making confidence and moral sensitivity (r=.382, p<.001) and self-assertiveness (r=.224, p<.01). Regression analysis revealed that the factors that significantly influenced ethical decision-making confidence were moral sensitivity, self-assertiveness and ethical education during nursing practice, which explained 25.0% of variance in ethical decision-making confidence. Therefore, to improve ethical decision-making confidence of nurses, programs should be developed that improve moral sensitivity and self-assertiveness by promoting ethical education.