• Journal of Korean Institute of Industrial Engineers
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• v.38 no.1
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• pp.57-66
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• 2012

The paper deals with the development of a model for group decision making under multiple criteria. The Multi-criteria group decision making (MCGDM) is the process to determine the best compromise solution in a set of competing alternatives that are evaluated by decision makers having their own preferences on conflicting objectives. For MCGDM, we propose a Mixed-Integer Programming (MIP) model that implements a revised median approach by noticing that the original median approach cannot consider the willingness to reject and the indifferent preference conditions. The proposed MIP model tries to select a common best Pareto-optimal solution by maximizing the overall desirability considering the willingness to reject and the indifferent preference that represent the tolerance measure of each decision maker. To evaluate the effectiveness of the proposed model, we compared the results of the proposed model with those of the median approach. The results showed that the proposed MIP model produces more realistic and better compromised alternative by incorporating the decision maker's willingness to reject and the indifferent preferences over each criteria.

• Journal of Family Resource Management and Policy Review
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• v.10 no.4
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• pp.27-45
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• 2006

On this research, we classified Korean consumers into several comsumer groups based on the different decision-making process they endorse, and then investigated the difference among these consumer groups in frequency, expenditure, satisfaction in using different types of retail stores. For this research, we have surveyed consumers dwelling in Seoul and in near-Seoul areas in 2004. The following is the summary of the main results. First, 'enjoy shopping' group showed a high expenditure rate in department store shopping and internet shopping, whereas 'impulsive decision' group more frequently visited traditional market places, 'fashion pursuing' group and 'enjoy shopping' group visited department stores more frequently than traditional market places. Second, 'impulsive decision' group assessed that the traditional market place offers better price and quality. Also 'impulsive decision' group and 'enjoy shopping' group assessed positively on the AS provided by department stores, and assessed negatively on the AS provided by internet shopping malls. Finally, 'fashion pursuer' group preferred buying foods from traditional market places, while 'brand seeker' group and 'fashion pursuer' group preferred buying clothes from discount stores. While 'enjoy shopping' group showed a high preference in buying clothes in department stores, 'rational decision-making' group showed a low preference in buying clothes in department stores.

• Journal of the Korea Convergence Society
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• v.11 no.2
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• pp.93-100
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• 2020

The purpose of this study was to examine the relationship between career decision-making self-efficacy, character strength, and gratitude as a factor influencing the happy life of adults. Subjects were 89 adults in university and graduate school. SPSS 23.0 and PROCESS Macro were used for data analysis. Significant correlations were found between career decision-making self-efficacy, character strength, gratitude, and happy life. The direct effect of career decision-making self-efficacy, an independent variable, on happy life, a dependent variable, was not significant. Character strength and gratitude, which are mediators, were significant. Therefore, the indirect effect and the total effects showed significant results. Career decision-making self-efficacy does not directly predict a happy life, but if it mediates character strengths and gratitude, it means that a happy life can be predicted.

• Journal of the Korea Safety Management & Science
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• v.9 no.2
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• pp.195-214
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• 2007

The purpose of this study is to explore the applicability of AHP(Analytic Hierarchy Process) to select more productive projects among various proposed projects in a particular company. To achieve this research objective, the characteristics of project evaluation and selection are first reviewed with respect to when, where, and how the decision is made. Then the theoretical basis of the AHP is briefly reviewed along with its mathematical underpinnings to construct the framework of project evaluation and selection. To be more specific, the evaluation and selection criteria were reorganized in the AHP-based framework to make the process of project evaluation and selection more productive. Project evaluation and selection is one of the most important activities for the most companies to be more advantageous in the market. Despite the importance of decision making process of project selection, not many of how to choose the best project were suggested as the reliable project selection methods in the industries. It may be because it involves various activities related to conflict resolution among different evaluation criteria, high uncertainties of market, and the unclear tradeoff among various project objectives. Furthermore, the decision, once made at this point, tends to be irrevocable until the whole process turns out to be a complete success or failure. As the result, the AHP method showed better financial performance rather than the traditional method in a case study.

• Journal of the Korean Society of Clothing and Textiles
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• v.19 no.1
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• pp.115-128
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• 1995

The purpose of this study was to investigate the role structure of husband and wife on husband's clothing purchase. For the study, a questionnaire was developed to measure the influence structure and clothing evaluative criteria of husband's clothing purchase and psychological and demographic characteristics of husband. The Purchase influence structure can be defined by applying the concept of Wolfe's power pattern to decision making about buying behavior. Influence structure is the pattern in which influence is distributed among family buying center members for each purchasing decision making item. The analysis was conducted on the basis of 310 couples responces. The result of this study ware as follows; 1. The majority of husband's clothing items were an absolute autonomic·decision product Exceptionally underwear was wife-dominated. The purchase influence structure of husband' s clothing purchase varied on stages in the decision making process. Wife was involved considerably in gathering information search and real purchasing stage. 2. According to the degree of husband and wife influence on discussion stage and final decision stage, consumers were categorized into five types. Husband's psychological characteristics such 3s shopping interest, clothing involvement, importance of mutual satisfaction in purchasing and demographic characteristics were significantly different among types.

• Proceedings of the Korean Operations and Management Science Society Conference
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• 2007.11a
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• pp.121-129
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• 2007

Recently a multi-attribute structure analysis method is one of the evident areas of important points in the decision support system analysis. This research developed an internet/intranet-based solution builder for a three-step decision support system using fuzzy-AHP in the view of 1) brainstorming far the idea generation, 2) fuzzy-AHP (fuzzy analytic hierarchy process) as a multi-attribute structured analysis method and 3) aggregation logic model to integrate the results of individual analysis. We applied this decision support system to the make-or-buy decision problem for school foodservice system considering the multi-attributes in the decision making. A computer program is developed and demonstrated it internet/intranet-based decision problem. It was known that this solution builder provides decision makers a good tool for mate-of-buy group decision making.

• Journal of Korea Society of Industrial Information Systems
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• v.2 no.2
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• pp.189-207
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• 1997

Recently, we have witnessed a host of emerging tools in the management support systems (MSS) area including the data warehouse/multidimensinal databases (MDDB), data mining, on-line analytical processing (OLAP), intelligent agents, World Wide Web(WWW) technologies, the Internet, and corporate intranets. These tools are reshaping MSS developments in organizations. This article reviews a set of emerging data management technologies in the knowledge discovery in databases(KDD) process and analyzes their implications for decision support. Furthermore, today's MSS are equipped with a plethora of AI techniques (artifical neural networks, and genetic algorithms, etc) fuzzy sets, modeling by example , geographical information system(GIS), logic modeling, and visual interactive modeling (VIM) , All these developments suggest that we are shifting the corporate decision making paradigm form information-driven decision making in the1980s to knowledge-driven decision making in the 1990s.

• Journal of the military operations research society of Korea
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• v.3 no.1
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• pp.51-82
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• 1977

Decision making is a function of many variables, but among these, human burden (soft-ware) and machine burden (hard-ware) are critical. Decision Maker is rather concerned with the soft-ware and just wants to have machine calculate the quantitative arithmetic involved in the decision-making study, because he is responsible for that decision whether or not he knows details about the techniques used by his staffs. From the point of these considerations, computer-assisted war game model has its significance in military decision making. The major outcome of this model is time-phased FEBA movement. FEBA is moved mainly by the ratio of the Index of Combat Effectiveness (ICE). To calculate ICE, Ground Forces are concerning the Index of Firepower (IFP) of individual weapons and in the case of Air Force, sorties are allocated into each sector, and added to the Ground Force IFP. With the ratio of total ICE, FEBA is moved according to the War Game Tables and process is repeated after consideration of casualties. This model is used by IBM-370/135 in MND computer room and also tested by IBM-3741/3717 established at ROKA HQ.

• Informatization Policy
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• v.26 no.3
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• pp.3-35
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• 2019

In the fourth industrial revolution age, because of advance in the intelligence information technologies, the various roles of AI have attracted public attention. Starting with Google's Alphago, AI is now no longer a fantasized technology but a real one that can bring ripple effect in entire society. Already, AI has performed well in the medical service, legal service, and the private sector's business decision making. This study conducted an exploratory analysis on the possibilities and issues of AI-driven policy decision making in the public sector. The three research purposes are i) could AI make a policy decision in public sector?; ii) how different is AI-driven policy decision making compared to the existing methods of decision making?; and iii) what issues would be revealed by AI's policy decision making? AI-driven policy decision making is differentiated from the traditional ways of decision making in that the former is represented by rationality based on sufficient amount of information and alternatives, increased transparency and trust, more objective views for policy issues, and faster decision making process. However, there are several controversial issues regarding superiority of AI, ethics, accountability, changes in democracy, substitution of human labor in the public sector, and data usage problems for AI. Since the adoption of AI for policy decision making will be soon realized, it is necessary to take an integrative approach, considering both the positive and adverse effects, to minimize social impact.

• Korean Journal of Heritage: History & Science
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• v.52 no.2
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• pp.106-121
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• 2019

Sustainable development in society has become the center of focus in many fields such as industry, environment, health, culture, etc. Considering that the concept of heritage involves understanding it as a 'resource' to improve the quality of people's lives, sustainability is an important goal that heritage policy has to achieve. Adopting the definition of sustainability in the 1987 Brundtland Report, this paper defines the concept of sustainability with respect to heritage, as well as their respective roles. Following that, three action principles are presented: value-based conservation, rational decision-making, and community involvement. Two cases demonstrating how the three principles should be practiced in managing change are then illustrated. Considering that heritage can play its role as a resource once its significance is protected, this paper argues that value-based rational decision-making is of paramount importance and the first principle. Conservation aims to manage change by practicing a cyclic process of value identification, value sustaining, and value dissemination. Therefore, this paper argues that all processes should be connected in the context of heritage values. A rational decision-making process practicing value-based conservation is then suggested. This paper argues that rational decision-making can only be practiced once values are identified by objective criteria and managed by rational judgment upon impact assessment. Community involvement, the third principle, is necessary to realize value-based conservation and rational decision-making. Recognizing that a community is a beneficiary of heritage and a creator of a beneficial process at the same time, it discusses the role of community and the importance of this role in policies for the sustainability of heritage. This paper concludes with a set of recommendations to improve policies after examining the two decision-making cases.