• Proceedings of the Korean Operations and Management Science Society Conference
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• 2003.05a
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• pp.958-965
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• 2003

The rapidly changing business environment has required cooperation and coorduiation among functional units n organizations which should Involve group decision-making processes Although many group derision-making support tools and methods have provided the collaborative capabilities for organizational members, they often lack features supporting the dynamic complexity issue frequently occurring at group decision-making processes This study proposes system dynamics modeling as a group decision-making support tool to deal with the group derision-making tasks having properties of dynamic complexity in terms of cognitive fit theory.

• Journal of the Korean Institute of Educational Facilities
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• v.27 no.2
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• pp.49-55
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• 2020

Recently, the role of community in public design has become important. However, the design process often places only emphasis on the 'agreement' of the community. As a result, the process was forced to collect opinions from the community only passively. Also, a process that only focuses on the formation of an agreement is likely to provoke confrontations and conflicts between those who support and oppose it. In the end, persuasion by the opposing residents is more important than decision-making by the whole community. Therefore, it has recently been paying attention to 'decision-making' that values a variety of things, not 'agreement formation'. Because various values of the community are valued and process is more important than result, 'decision-making' is different from 'agreement formation'. South Korea is also paying attention to public design, where community decision-making is central. Therefore, it is very necessary to develop a methodology that can support community decision making. In Jeju, the community's decision-making support methodology was devised for urban regeneration. The purpose of this study is to examine the characteristics of this methodology and to reveal its potential and challenge as a decision-supporting methodology.

• Proceedings of the KSR Conference
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• 2004.10a
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• pp.886-891
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• 2004

The process of determining whether, when, where and how to intervene, of deciding on optimum allocation of resources and minimizing the cost is a very complex problem: different track sections tend to behave differently under the effects of loading; decision-making processes for maintenance work are closely interrelated technically and economically; decision-making for maintenance plans is based on a large quantity of technical and economic information, extensive knowledge and above all experience. For that reason, It is considered very important to develope objective and computer-aided decision-making support system for track maintenance plan. On this paper, we made a survey of the state-of-art of decision-making support systems for track maintenance which were developed and used abroad and reviewed requirements of system and present the plan of develope decision-making support system for track maintenance appropriate to local condition.

• International Journal of Fuzzy Logic and Intelligent Systems
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• v.9 no.4
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• pp.249-254
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• 2009

The today's decision making tasks in globalized business and manufacturing become more complex, and ill-defined, and typically multiaspect or multi-discipline due to many influencing factors. The requirement of obtaining fast and reliable decision solutions further complicates the task. Intelligent decision support system (DSS) currently exhibit wide spread applications in business and manufacturing because of its ability to treat ill-structuredness and vagueness associated with complex decision making problems. For multi-dimensional decision problems, generally an optimum single DSS can be developed. However, with an increasing number of influencing dimensions, increasing number of their factors and relationships, complexity of such a system exponentially grows. As a result, software development and maintenance of an optimum DSS becomes cumbersome and is often practically unfeasible for real situations. This paper presents a technically feasible approximation of an optimum DSS through decreasing its complexity by a modular structure. It consists of multiple DSSs, each of which contains the homogenous knowledge's, decision making tools and possibly expertise's pertaining to a certain decision making dimension. Simple, efficient and practical integration mechanism is introduced for integrating the individual DSSs within the proposed overall DSS architecture.

• 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.

• International Journal of Computer Science & Network Security
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• v.22 no.9
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• pp.307-315
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• 2022

The review of known decision-making support systems and technologies regarding the possibility of donation and transplantation showed that currently there are no systems and technologies of decision-making support regarding the possibility of donation and transplantation considering civil law. The paper models the decision-making support process regarding the possibility of donation and transplantation, which is a theoretical basis for the development of rules, methods and technology of decision-making support regarding the possibility of donation and transplantation considering civil law. The paper also developed the technology of decision-making support regarding the possibility of donation and transplantation considering civil law as a component of the Unified State Information System for Organ and Tissue Transplantation, which automatically and free of charge determines the possibility/impossibility of donation and transplantation. In the case of the possibility of donation, the admissible type of donation is also determined - over-life or after-life donation - and data about potential donor is entered in the relevant Donor Register. In the case of the possibility of transplantation, if the recipient needs a transplant of one of the paired organs or a part of the organ/tissue, then data about potential recipient are entered in the Transplantation List from both over-life and after-life donor, otherwise, if the recipient needs a transplant of a non-paired organ or both paired organs, then data about potential recipient are entered only in the Transplantation List from after-life donor.

• Korean Journal of Organic Agriculture
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• v.26 no.2
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• pp.181-202
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• 2018

Most of eco-friendly agrifood processing enterprises in Korean rural area are small and medium-sized business. For this reason, it's hard for eco-friendly agrifood processing enterprises to neither analyze business performance for efficient business management nor establish their own business plan for rational decision-making. Therefore it's necessary to design effective mathematical programming model and to make practical application which can support rational management decision-making ensuring the stable business activity of eco-friendly agrifood processing enterprises. Accordingly this paper focuses on the designing and its application of multi-objective mathematical programming model using goal programming to support rational decision-making of eco-friendly agrifood processing enterprise. Hansalimanseongmachum Food Inc. which runs soy bean processing business making tofu based on regional-based soybean farms around Anseong City will be the specific case to apply multi-objective mathematical programming model in practice. And it will suggest measures to support rational management decision-making of other eco-friendly agrifood processing enterprises.

• 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.

• Journal of the Korean Society of Food Culture
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• v.35 no.2
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• pp.173-180
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• 2020

This study evaluated methods of improving sustained learning participation by examining the structural relationship of school support consisting of professor support, friend-senior support and educational environment support, career decisionmaking self-efficacy, school satisfaction, and learning persistence depending on the characteristics of college students majoring in culinary art and food service. The study findings were as follows. First, the general characteristics of college students majoring in culinary art and food service were perceived significantly more by female students than by male students. Second, school support directly influenced the career decision-making self-efficacy and school satisfaction, but did not directly influence the learning persistence. Instead, school support influenced school satisfaction and learning persistence indirectly by the medium of career decision-making self-efficacy. Third, career decision-making self-efficacy directly influenced school satisfaction and learning persistence and indirectly influenced learning persistence by the medium of school satisfaction. Lastly, school satisfaction directly influenced the learning persistence, implying that school satisfaction is an important factor for the learning persistence of college students majoring in culinary art and food service. These results show that, because school members and environmental support cannot exclusively make learning persistence, diverse systems and programs must be developed and applied to improve the career decision-making self-efficacy and school satisfaction of college students majoring in culinary art and food service.

• Asia pacific journal of information systems
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• v.15 no.2
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• pp.195-218
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• 2005

The emergence of ubiquitous computing environment will change the service architecture of business information systems such as Decision Support System(DSS), which will be a new application. Recent mobile DSSs allow the decision makers to be benefited from web and mobile technology. However, they seldom refer to context data, which are useful for proactive decision support. Meanwhile, ubiquitous applications so far provide restricted personalization service using context and preference of the user, that is, they do not fully make use of decision making capabilities. Hence, this paper aims to describe how the decision making capability and context-aware computing are jointly used to establish ubiquitous applications. To do so, an amended DSS paradigm: CKDDM(Context-Knowledge-Dialogue-Data-Model) is proposed in this paper. What will be considered for the future decision support systems when we regard ubiquitous computing technology as an inevitable impact that enforces the change of the way of making decisions are described. Under the CKDDM paradigm, a framework of ubiquitous decision support systems(ubiDSS) is addressed with the description of the subsystems within. To show the feasibility of ubiDSS, a prototype system, CAMA-myOpt(Context-Aware Multi Agent System-My Optimization) has been implemented as an illustrative example system.