• Journal of Families and Better Life
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• v.30 no.4
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• pp.77-87
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• 2012

The purpose of this study is to analyze the effects of social support and, career decision-making self-efficacy on career maturity of adolescents of different gender and grades. Further, it aims to provide basic information for career maturity to create career educational program for adolescents. The participants of the study were 447 middle and high school students who were selected from second grade of five schools in Daegu. All participants were tested on social support, career decision-making self-efficacy and career maturity scale. The results were analyzed using two-way ANOVA, Pearson's Correlation Analysis, Regression Analysis with SPSS 18.0. The results of the present research are summarized as follows: first, the results of the ANOVA subscales revealed that there were significant gender and grade main effects and interaction effects of social support, career decision-making self-efficacy and career maturity. Second, the results of the correlation analysis among of the social support, career decision-making self-efficacy and career maturity showed a positive and negative correlation. Third, in terms of the influence of social support, career decision-making self-efficacy had a significant meaningful influence on career maturity. The results of this study can be used as a fundamental reference in career counseling at school for enhancing adolescent's career development and success.

• Journal of Gifted/Talented Education
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• v.23 no.6
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• pp.861-879
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• 2013

The purpose of this study was to explore the science gifted students' value-judgments and decision making writing on the space exploration enterprise. Sixty-four first graders of a gifted science school took the seminar-style decision making instruction for 10 hours in one month. After having the seminar-style decision making instruction, we have analyzed science gifted students' value-judgments and decision making process utilizing questionnaires and their writings. As a result, gifted students were aware of both sides of the space exploration enterprise, benefits and risks, and showed different decision making depending on their priorities of evidence interpretation. Although the majority of gifted students were very well aware of the importance of space exploration enterprise, they would still need to know the background information of space exploration enterprise. Based on this study, implications of SSI education and future research about space exploration enterprise were discussed in the result.

• Journal of Internet Computing and Services
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• v.21 no.1
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• pp.237-246
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• 2020

this paper, a data modeling method based on decision-making conditions is proposed for making combat and battlefield management systems to be intelligent, which are also a decision-making support system. A picture of a robot seeing and perceiving like humans and arriving a point it wanted can be understood and be felt in body. However, we can't find an example of implementing a decision-making which is the most important element in human cognitive action. Although the agent arrives at a designated office instead of human, it doesn't support a decision of whether raising the market price is appropriate or doing a counter-attack is smart. After we reviewed a current situation and problem in control & command of military, in order to collect a big data for making a machine staff's advice to be possible, we propose a data modeling prototype based on decision-making conditions as a method to change a current control & command system. In addition, a decision-making tree method is applied as an example of the decision making that the reformed control & command system equipped with the proposed data modeling will do. This paper can contribute in giving us an insight of how a future AI decision-making staff approaches to us.

• International Journal of Fuzzy Logic and Intelligent Systems
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• v.11 no.3
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• pp.171-177
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• 2011

The decision making process is based on accurate and timely available information. To obtain precise information from the internet is becoming more difficult due to the continuous increase in vagueness and uncertainty from online information resources. This also poses a problem for blind people who desire the full use from online resources available to other users for decision making in their daily life. Ontology is considered as one of the emerging technology of knowledge representation and information sharing today. Fuzzy logic is a very popular technique of artificial intelligence which deals with imprecision and uncertainty. The classical ontology can deal ideally with crisp data but cannot give sufficient support to handle the imprecise data or information. In this paper, we incorporate fuzzy logic with heavyweight ontology to solve the imprecise information extraction problem from heterogeneous misty sources. Fuzzy ontology consists of fuzzy rules, fuzzy classes and their properties with axioms. We use Fuzzy OWL plug-in of Protege to model the fuzzy ontology. A prototype is developed which is based on OWL-2 (Web Ontology Language-2), PAL (Protege Axiom Language), and fuzzy logic in order to examine the effectiveness of the proposed system.

• Journal of the Korea Society for Simulation
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• v.17 no.4
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• pp.159-165
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• 2008

The ROK army has equipped ATCIS (Army Tactical Control Information System) for the Corps echelon to visualize the battlefield and reduce the reaction time. Due to the information&surveillance equipment, uncertainty and variance of the battlefield have been decreased. However decision making for the ground operations has not changed as it depends on knowledge of the commander and staffs. The War game process to select and assess the best CoA (Course of Action) also depends on the pros and cons due to the limitation of time and capability. For the balanced development between intangible and tangible military strength, a new decision making process which is quantitative and useful for the military is needed. In this study, we suggest a Fuzzy-AHP based decision making model to improve troop leading procedure which is useful to evaluate and reflect intangible characteristics of the battlefield.

• Korean Journal of Occupational Health Nursing
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• v.18 no.2
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• pp.141-152
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• 2009

Purpose: The purpose of this research was to describe the decision making of nurses in a VIP ward. Method: The methodology of collecting and analyzing the data was based on the grounded theory of Strauss and Corbin (1998). The data were collected through an in-depth interview, which were audio-taped and transcribed. The data were collected from 10 nurses from July to November 2007. Results: The core category on VIP ward nurses' decision making was named as "adjusting with flexibility and deepened insight". The causal condition was established by 'the patients who wanted to be treated specially'. The contextual conditions included 'caring patients from various departments', 'differences depending on the nurses' clinical experience', and 'client-centered atmosphere in the VIP ward'. The intervening conditions included 'problem solving styles of nurses', 'attitudes of patients and family members', 'nurse-doctor relationships', and 'accessibility to information'. It was confirmed that nurses changed their action-interaction strategies depending on the intervening conditions, thus resulted in the nurses' role conflict and the need to expand their consciousness. Conclusion: The result of this study indicates that nurse's decision making depends on their experiences and the nature of social context in which nursing occurs.

• Journal of Distribution Science
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• v.13 no.4
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• pp.9-19
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• 2015

Purpose - This study focuses on the use of evaluative criteria software for imprecise market information, and product mapping relationships between design parameters and customer requirements. Research design, data, and methodology - This study involved using the product predicted value method, synthesizing design alternatives through a morphological analysis and plan, realizing the synthesis in multi-criteria decision-making (MCDM), and using its searching software capacity to obtain optimal solutions. Results - The establishment of product designs conforms to the customer demand, and promotes the optimization of several designs. In this study, the construction level analytic method and the simple multi attribute comment, or the quantity analytic method are used. Conclusions - This study provides a solution for enterprise products' multi-goals decision-making, because the product design lacks determinism, complexity, risk, conflict, and so on. In addition, the changeable factor renders the entire decision-making process more difficult. It uses Fuzzy deduction and the correlation technology for appraising the feasible method and multi-goals decision-making, to solve situations of the products' multi-goals and limited resources, and assigns resources for the best product design.

• Journal of Korean Academy of Nursing
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• v.42 no.4
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• pp.453-465
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• 2012

Purpose: The study was done to develop a shared decision-making scale for end-of-life patients in Korea. Methods: The process included construction of a conceptual framework, generation of initial items, verification of content validity, selection of secondary items, preliminary study, and extraction of final items. The participants were 388 adults who lived in one of 3 Korean metropolitan cities: Seoul, Daegu, or Busan. Item analysis, factor analysis, criterion related validity, and internal consistency were used to analyze the data. Data collection was done from July to October 2011. Results: Thirty-four items were selected for the final scale, and categorized into 7 factors explaining 61.9% of the total variance. The factors were labeled as sharing information (9 items), constructing system (7 items), explanation as a duty (5 items), autonomy (4 items), capturing time (3 items), participation of family (3 items), and human respect (3 items). The scores for the scale were significantly correlated among shared decision-making scale, terminating life support scale, and dignified dying scale. Cronbach's alpha coefficient for the 34 items was .94. Conclusion: The above findings indicate that the shared decision-making scale has a good validity and reliability when used for end-of-life patients in Korea.

• Journal of Korean Public Health Nursing
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• v.33 no.3
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• pp.326-339
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• 2019

Purpose: This study attempts to identify the level of awareness, ethical awareness, and decision-making among nursing students, in response to pandemic infectious diseases. Methods: Subjects were 210 nursing college students attending colleges in 5 cities and provinces nationwide. Data were collected from November 2017 to April 2018 using a self-administrated questionnaire, and analyzed utilizing descriptive statistics. Results: Considering the awareness of pandemic infectious diseases, the nursing students expressed high concern about the possibility of future outbreaks of pandemic infectious diseases and seriousness of the situation. There were numerous negative views on the response and stockpiling of drugs by the government. Ethical awareness of pandemic infectious diseases was high, with demands for accurate information and proper protective equipment. Overall, ethical decision-making when responding to pandemic infectious diseases represented a high score. Also, higher awareness levels of pandemic infectious diseases would result in increased ethical and ethical decision-making. Conclusion: In conclusion, we propose the introduction of an ethical education program for medical personnel and nursing university students, to enable the handling of future pandemic outbreaks of new infectious diseases.

• Journal of Information Technology Services
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• v.14 no.3
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• pp.217-236
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• 2015

How does social interaction among investors affect decision-making in the online social lending platform? And what is the reason? In this study, in order to obtain the answer, we carried out case study research of Moneyauction and Popfunding, which are domestic online social lending platforms. We conducted interviews with managements of both social lending platforms and investors and analyzed statistical data including investment records, social interaction history between investors and lenders from both platforms. In addition, researchers performed direct participation and observation through the platforms as real investment members. As a result, we revealed that social interaction among investors has a material impact on the investment decision-making. Also we found that investors build trust by socially interacting with each other and this trust building leads to the investment decision making. Our findings confirm that social lending investors's decision-making process comply with the social embeddedness theory and imply that loan applicants must do their best efforts to display sincerity and truthfulness through their posting.