• Korean Journal of Childcare and Education
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• 제10권1호
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• pp.81-94
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• 2014

This study is intended to identify the motivations for seeking child care credentials through online education and factors influencing the career decision-making. The study was conducted among students taking child care courses online, and data was analyzed through t-test, F-test, Scheffe posteriori test, and hierarchical regression analysis. The findings are as follows. 1) Motivation for seeking the credentials varied depending on background variable. Livelihood was a stronger motivation for low-income group than higher come group. Self-realization desire was a stronger motivation for the group with low education level than the group with higher education level. 2) Age affected the participants' career decision-making. The younger they were, the more dependent they were on other people's advice. 3) Different variables influenced the students' rational, intuitional, and dependent career-decision making. Factors influencing their rational career decision-making were age, motivation to acquire the credentials for making a living, and motivation for building a better future. For intuitional career decision-making, age affected the decision. For dependent career decision-making, motivation to seek credentials for making a living was an influencing variable.

• Journal of Korean Society of Rural Planning
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• 제2권1호
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• pp.31-38
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• 1996

As a rational decision-making process of county-level area development, this study designed 3-step framework : function-giving(areal analysis) on unit planning area by decision matrix of land suitability, check of typical characteristics of each function area and formulation of its future development strategies. Two alternatives were suggested as the areal analysis method, of which one is equal ordering / valuing technique of checking indices for land suitability classfication and the other preferential weighting technique. And then, under the algorithm specially defined in this study, land suitability maps(Fig.2,3) of the case study area (Seungju-county area, Chonnam-province, Korea) were drawn from the areal analysis results. By use of land suitability classification results, unique characteristics of typical function areas were defined (on 7 types of alternative 1 , 8 types of II ) and their future development strategies were formulated in the case study area, According to the categorization criteria in this study, all the villages of the case area were classfied as a suitable type of function areas illustrated in this study.

• The Korean Society of Law and Medicine
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• 제13권2호
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• pp.115-139
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• 2012

Civil proceedings, surveyed results and medical expenses that are evidenced by expert witness are just one of the methods of proof. Since a judge makes decision by synthesizing all evidences on a concerned case, thus the judgement would be different from that of expert witness. It is not rational for medical institutions, of which priorities are medical treatment, to give priority to disability decision. However, despite of its importance, medical institutions less recognize about the necessity of procedural stability and predictability in expert valuation. It is necessary to identify actual problems and investigate rational alternatives to acquire fairness in valuation procedures and accuracy in calculating future medical expenses. Therefore, this research explores the problems and realities of evaluation process in medical treatments, and then discuss the alternatives of written expert opinion and estimation of future medical expenses.

• Nuclear Engineering and Technology
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• 제40권5호
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• pp.327-348
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• 2008

A risk-informed regulatory approach implies that risk insights be used as supplement of deterministic information for safety decision-making purposes. In this view, the use of risk assessment techniques is expected to lead to improved safety and a more rational allocation of the limited resources available. On the other hand, it is recognized that uncertainties affect both the deterministic safety analyses and the risk assessments. In order for the risk-informed decision making process to be effective, the adequate representation and treatment of such uncertainties is mandatory. In this paper, the risk-informed regulatory framework is considered under the focus of the uncertainty issue. Traditionally, probability theory has provided the language and mathematics for the representation and treatment of uncertainty. More recently, other mathematical structures have been introduced. In particular, the Dempster-Shafer theory of evidence is here illustrated as a generalized framework encompassing probability theory and possibility theory. The special case of probability theory is only addressed as term of comparison, given that it is a well known subject. On the other hand, the special case of possibility theory is amply illustrated. An example of the combination of probability and possibility for treating the uncertainty in the parameters of an event tree is illustrated.

• Journal of Korean Society of Industrial and Systems Engineering
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• 제46권3호
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• pp.109-122
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• 2023

As platforms become primary decision making tools, platforms for decision have been introduced to improve quality of decision results. Because, decision platforms applied augmented decision-making process which uses experiences and feedback of users. This process creates a variety of alternatives tailored for users' abilities and characteristics. However, platform users choose alternatives before considering significant quality factors based on securing decision quality. In real world, platform managers use an algorithm that distorts appropriate alternatives for their commercial benefits. For improving quality of decision-making, preceding researches approach trying to increase rational decision -making ability based on experiences and feedback. In order to overcome bounded rationality, users interact with the machine to approach the optional situation. Differentiated from previous studies, our study focused more on characteristics of users while they use decision platforms. This study investigated the impact of quality factors on decision-making using platforms, the dimensions of systematic factors and user characteristics. Systematic factors such as platform reliability, data quality, and user characteristics such as user abilities and biases were selected, and measuring variables which trust, satisfaction, and loyalty of decision platforms were selected. Based on these quality factors, a structural equation research model was created. A survey was conducted with 391 participants using a 7-point Likert scale. The hypothesis that quality factors affect trust was proved to be valid through path analysis of the structural equation model. The key findings indicate that platform reliability, data quality, user abilities, and biases affect the trust, satisfaction and loyalty. Among the quality factors, group bias of users affects significantly trust of decision platforms. We suggest that quality factors of decision platform consist of experience-based and feedback-based decision-making with the platform's network effect. Through this study, the theories of decision-making are empirically tested and the academic scope of platform-based decision-making has been further developed.

• Transactions of the Korean Society of Mechanical Engineers A
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• 제35권7호
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• pp.729-736
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• 2011

The technique for order preference by similarity to ideal solution (TOPSIS) is regarded as a classical method of multiple attribute decision making (MADM), often used to solve various decision-making or selection problems. It is based on the concept that the chosen alternative should have the shortest distance from the positive ideal solution and the farthest distance from the negative ideal solution. The TOPSIS can be applied to a design process for carrying out multi-objective shape optimization wherein the best and worst alternatives are to be decided. In this paper, multi-objective shape optimization using the TOPSIS and Rational Bezier curve was applied to the funnel of a cathode-ray tube (CRT). In order to minimize the weight and first principal stress, a new multi-objective shape optimization methodology is proposed, wherein the relative-closeness coefficients of the TOPSIS are defined as the performance indices of a multi-objective function and evaluated by response surface models. This methodology enables the designer to decide on the best solution from a number of design specification groups by examining the various conflicts between the weight and the first principal stress.

• Journal of the Korean Applied Science and Technology
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• 제38권6호
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• pp.1709-1721
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• 2021

This study identified the impact of career identity and career decision-making type on career preparation behavior in nursing students. The participants were 198 nursing students enrolled in the 3rd and 4th grades located in J province, and data were collected from June 14, 2021 to 27, 2021, using an online questionnaire. Data were analyzed with descriptive statistics, independent t-test, one-way ANOVA, Pearson's correlation, and hierarchical regression using SPSS/WIN 23.0 program. As a result, the mean score of career identity, rational type, intuitive type, dependent type, and career preparation behavior were 2.79(range 1~4), 3.78(range 1~5), 3.38(range 1~5), 3.01(range 1~5), and 3.51(range 1~5), respectively. Career preparation behavior was significantly correlated with career identity(r=.40, p<.001), rational type(r=.50, p<.001), intuitive type(r=.22, p=.002), and dependent type(r=-.20, p=.004). Factors influencing career preparation behavior were career identity(β=.23, p=.001), rational type(β=.31, p<.001), intuitive type(β=.27, p<.001), and dependent type(β=-.20, p=.002). These variables accounted for 24.6%p of the variance in career preparation behavior(F=11.93, p<.001). These research results suggest that it is necessary to establish a career identity and develop and apply a program that includes career guidance according to career decision-making type to improve the career preparation behavior of nursing students.

• Proceedings of the KSR Conference
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• 한국철도학회 2008년도 춘계학술대회 논문집
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• pp.199-205
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• 2008

The monorail system as new transportation system mostly has being constructed as an elevated construction and the track beam as mostly main work type occupy the important parts. The structure of monorail system, the track beam support directly vehicle's load and comprised of the track beam structure to be traveling side and understructure to be transmitted from their load to the ground. In particular, in case of construction to elevated structure in the center of a city, it is important to decision plan for span to be considered the economic, execution and maintenance according to transport, installation, and the structure problem, scene and civil appeals to be decided the beam elevation and span. Therefore the standard span of monorail track beam shall be considered the efficient execution, economic and transportation. And propose to reasonable decision plan incorporated the minimizing the road occupied width due to openness to center of a city and bridge pole, minimize to basis size.

• Proceedings of the Korea Association of Information Systems Conference
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• 한국정보시스템학회 2005년도 추계학술대회 발표 논문집
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• pp.326-333
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• 2005

The purpose of this paper is to provide a decision support method to a rational buyer, who wants to pay the least price for the product with the highest quality and service. We suggest a minimum efficiency game model and DEA game model to valuate many vendors whose qualifies of outputs are measured by percentage. Our results gave a decision maker (buyer) the upper bound and lower bound of the true efficiency score of a decision making unit (vendor) with respect to the benchmark (target) set by the buyer. As a result, a buyer can choose the best vendor in terms of his/her preference.

• International conference on construction engineering and project management
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• The 5th International Conference on Construction Engineering and Project Management
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• pp.497-501
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• 2013

An important decision-making element for the success of housing redevelopment projects is a prediction of the profitability of redevelopment. Risk factors influencing profitability were deduced through a review of the literature about profitability and a risk analysis developed by a survey of maintenance projects. In addition, a profitability prediction depending on the analysis of risk factors is necessary to judge the business feasibility of a project in the planning stages. A profitability prediction model of management and disposal method, which is calculated by proportional rate and which helps estimate contributions to profitability, is proposed to prevent difficulties in business development. The proposed model has the potential to prevent interruptions, reduce the length of projects, generate cost savings, and enable rational decision-making during the project period by allowing a judgment of profitability at the planning stage.