• Proceedings of the KSRS Conference
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• 2003.11a
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• pp.310-312
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• 2003

This paper discusses a GIS based decision support system that provides functions of prospect screening and evaluation in both technical aspects (Volume, structure, trap, reservoir and charge, etc.) and economic aspects (Net present value, Profit / investment Ratio, etc.). The decision support system has been tested in a virtual offshore exploration prospect to facilitate and improve the decision making process. The study represents a test bed for decision makers at all levels to establish prospect screening and evaluation guidelines that may be applicable to other related prospect investment issues.

• International conference on construction engineering and project management
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• 2011.02a
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• pp.52-57
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• 2011

Bridges are essential and valuable elements in road and rail transportation networks. Bridge remediation is a top priority for asset managers, but identifying the nature of true defect deterioration and associated remediation treatments remains a complex task. Nowadays Decision Support Systems (DSS) are used extensively to assist in decision-making across a wide spectrum of unstructured decision environments. In this paper a requirements-driven framework is used to develop a risk based decision support model which has the ability to quantify the bridge condition and find the best remediation treatments using Multi Attribute Utility Theory (MAUT), with the aim of maintaining a bridge within acceptable limits of safety, serviceability and sustainability.

• Journal of Fisheries and Marine Sciences Education
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• v.26 no.2
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• pp.335-344
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• 2014

The purpose of this study is to investigate the effects of self-efficacy and social support on career decision level for fisheries and merchant marine high school students. And it will help improving the Fisheries and Merchant Marine High School students' career decision level. To achieve the purpose of this research, the study carried out a survey targeting 456 fisheries and merchant marine high school students. Analysis methods includes Frequency Analysis, One way ANOVA, t-test, and Regression Analysis and data was analyzed by PASW Statistics 18. The results are as follows: First, fisheries and merchant marine high school students' self-efficacy and social support were generally positive. Second, The effects of the grade, the major and the school of students on self-efficacy showed statistically significant difference. Third, the higher self-efficacy and social support of students were, the higher career decision level was. Lastly, The effects of self-efficacy and social support on career decision level were valued positive.

• Journal of the Korean Home Economics Association
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• v.47 no.4
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• pp.111-119
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• 2009

The purpose of this study was to examine the moderating effect of self esteem on the link between social support(e.g. from family, friends and significant others) and career decision-making level of youth in residential care. Data for this study were collected from 14 nationwide institutions between June 10th to June 20th, 2008. Selfreporting surveys were employed to gather information from 412 sources within these institutions. Collected data were analyzed by SPSS program(12.0). The results were as follows: Stepwise multiple regression showed that self-esteem could be used to predict career decision-making level($\beta$ = -.262, p < .001). Furthermore, self-esteem had a moderating effect on the relationship between social support and career decision-making level($\beta$ = -.749, p < .001). Specifically, self-esteem and the scale of social support from family, friedns or significant others had a moderating effect on career decision-making level($\beta$ = - .118, p < .001). The implication of these findings on career decision-making intervention of youth in residential care and future research priorities are discussed.

• Journal of Korean Academy of Fundamentals of Nursing
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• v.18 no.1
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• pp.116-129
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• 2011

Purpose: The purpose of this study was to develop a computer decision making support system that enables nurses to utilize the computer in selecting the best decision for pain management for patients with dementia institutionalized in nursing homes. Methods: To formulate the protocol for the management of patients' pain, the researcher analyzed content of interviews with 30 nurses in three nursing homes and an expert group. A decision support computer program was formalized based on existing protocols. To evaluate the effectiveness and applicability of the system, analysis of data on patient pain management and nurse satisfaction with the system were done after the formalized decision support computer program was complete. Results: The decision support computer program for pain management for institutionalized patients with dementia was finalized after adjustments following the evaluation. Nurse satisfaction with the program was moderate. It also provided opportunity to reassess thinking about pain and pain management. Conclusions: The results indicate that this program provides nurses with useful knowledge for pain management in institutionalized patients with dementia and aids in decision making in nursing practice in nursing home.

• Journal of Intelligence and Information Systems
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• v.14 no.2
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• pp.83-102
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• 2008

Ubiquitous computing requires timely supply of contextual information in order to upgrade decision quality. In this sense, this study is aimed at proposing a multi-dynamic decision support system for highly ill-structured problems. Especially, it is very important for decision makers in the ubiquitous computing to coordinate conflicts among local goals and global goal harmoniously. The proposed Multi-Dynamic Decision Support System (MDDSS) is basically composed of both central structure and distributed structure, in which central structure supports multi objects decision making and distributed structure supports individual decision making. Its hybrid architecture consists of decision processor, multi-agent controller and intelligent knowledge management processor. Decision processor provides decision support using contexts which come from individual agents. Multi-agent controller coordinates tension among multi agents to resolve conflicts among them. Meanwhile, intelligent knowledge management processor manages knowledge to support decision making such as rules, knowledge, cases and so on. To prove the validity of the proposed MDDSS, we applied it to an u-fulfillment problem system in which many kinds of decision makers exist trying to satisfy their own objectives, and timely adjustment of action strategy is required. Therefore, the u-fulfillment problem is a highly ill-structured problem. We proved its effectiveness with the aid of multi-agent simulation comprising 60 customers and 10 vehicles under three experimental modes.

• Journal of the Korea Society of Computer and Information
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• v.24 no.12
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• pp.109-117
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• 2019

This study analyzed the effects of social support and career decision self-efficacy that can have effects on career based on career-interrupted women's perception on career preparation behaviors and mediating effects of the career decision self-efficacy. This study surveyed 227 career-interrupted women who participated in job training or registered for job searching in woman employment support organizations using a self-reported type questionnaire. The results are presented: First, social support was found to have a significant correlation with career decision self-efficacy and career preparation behavior. Second, discovered that emotional support as sub-factors of social support had a significant effect on career preparation behaviors. Third, discovered that goal setting and job information as sub-factors of career decision self-efficacy had a significant effect on career preparation behaviors. Fourth, career decision self-efficacy, there was a partial mediating effect between social support and career preparation behaviors. The results presented above suggested that in respect to career guidance for career-interrupted women, a focus should be given to psychological aspects than technological.

• Journal of the Korea Fashion and Costume Design Association
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• v.21 no.4
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• pp.1-16
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• 2019

This study proposes the requirements for students in colleges majoring in fashion at two-year colleges in Seoul and Gyeonggi-do to perform behaviors in preparation for a further career more effectively by identifying the impact of social support on the career decision-making self-efficacy, and behaviors preparing a further career. The results of this study are described below. In accordance with the analysis on the relationship between career decision-making self-efficacy and behaviors preparing a further career, and the social support, the social support had a positive impact on the career decision-making self-efficacy and a negative impact on the behaviors preparing a further career. Moreover, the career decision-making self-efficacy had a positive impact on the behaviors preparing a further career. In accordance with the analysis, social support from family members or relevant third parties is required for improving the behavior of students majoring fashion in colleges to prepare a further career. To this end, the quantity or scope of social support is not the main issue, but the meticulous approach to fit each student's need for making students recognize such social support. It is important for students in colleges to enhance career decision-making self-efficacy by accurately identifying their abilities, values or desires.

• The Journal of the Korea Contents Association
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• v.17 no.9
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• pp.575-586
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• 2017

The purpose of this study was to examine the effect of career barriers and social support on the career decision making self-efficacy. It was established the study modeling which shows the moderation effect of social support in the relationship between career barriers and career decision making self-efficacy. The questionnaire has carried out for 307university students. The research findings were follow: There are significant differences in career decision making self-efficacy to sex. but there are non significant differences in career decision making self-efficacy to grade and affiliation. Career barriers has significant influenced on the career decision making self-efficacy. The more they had career barriers, the less they had career decision making self-efficacy. And there exist significant moderating effect of social support. The higher level of social support, the more the effects of career barriers on career decision making self-efficacy.

• Journal of the Korea Convergence Society
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• v.8 no.3
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• pp.265-273
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• 2017

The purpose of this study was to investigate the relationship among social support, career decision-making self-efficacy, and career decision level in golf majors. For this purpose, a survey was given to a convenience sample of 215 students in universities in Seoul and its metropolitan areas. The data were then analyzed using descriptive statistics, correlations, and multiple regression analysis. The major findings of this study were as follows. First, social support had a significant effect on the career decision-making self-efficacy of golf majors. Second, social support had a significant effect on the career decision level of golf majors. Third, career decision-making self-efficacy had a significant effect on the career decision level of golf majors. The results of this study may be helpful to provide empirical evidence on the roles of social supports and career decision-making self-efficacy needed to decide golf majors' career path.