• IE interfaces
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• v.9 no.3
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• pp.269-282
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• 1996

This paper introduced a procedure for improving the quality of group decision making in various task types. Emphasis is placed on the construction of the optimal GDSS(Group Decision Support System) design with identifying the group decision characteristics of decision stages on the various task types. Especially, the identification of outliers and the establishment of confidence limits in group decision making were stressed. Participants in group decision making whose 'opinions fall outside the group's tolerance level are further studied to annex the source of this variation. The result showed that a preparation stage in the generating idea-type task and a illumination stage in the negotiating-type task were critical. Furthermore, the degree of the disagreement was severe in the verification and the preparation stages on group decision making. This paper developed a general procedure for improving the quality of group decision making. The procedure presented helps in identifying those stakeholders whose opinions may significantly deviate from that of the group.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.17 no.9
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• pp.628-640
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• 2016

This research is a descriptive study intended to identify the factors involved in the influence of the emotional intelligence of nursing students on their career decision-making self-efficacy and career decision levels. The correlations among the major variables were analyzed by calculating the Pearson's correlation coefficients. To identify the effects of the subjects' general characteristics and emotional intelligence on their career decision-making self-efficacy and career decision levels, a multiple regression analysis was conducted. The analysis results showed that there were positive relationships among emotional intelligence, career decision making and career decision-making self-efficacy. The factors influencing career decision-making self-efficacy were gender (${\beta}=-.155$), motivation to find employment (${\beta}=-.145$), use of emotions (${\beta}=.236$), emotional control (${\beta}=.197$), and understanding of others' emotions (${\beta}=.157$). In addition, the factors affecting the subjects' career decision level were the year level (${\beta}=.273$), motivation to find employment (${\beta}=-.145$), motivation to obtain others' recommendation (${\beta}=-.138$), and emotional control (${\beta}=.223$). Hence, sufficient endorsement from school or home is required with regard to the roles and duties of a nurse, in order to motivate future students to select the nursing degree. Furthermore, it is suggested that emotional intelligence may be improved when the degree program provides a higher proportion of emotional education.

• Journal of Information Technology Applications and Management
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• v.11 no.2
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• pp.1-14
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• 2004

The level of sunk cost and risk-taking theory have been offered as one explanation for the escalation of commitment behavior. This Study attempted to replicate Keil's study in Korea. Keil examined the level of sunk cost associated with the risk propensity and risk perception of decision-makers, and these factors are assessed for cross-cultural robustness using matching laboratory experiments carried out in three countries. The level of sunk cost and the risk perception of decision-makers contributed significantly to their continuous willingness to their project. Moreover, the risk propensity of decision-makers was inversely related to risk perception, and this inverse relationship was significantly more weak in Korea than in Singapore. These results show that the sunk-cost effect exists across cultures, and that the risk-taking behaviors are partially mediated by cultural factors.

• Journal of Navigation and Port Research
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• v.28 no.4
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• pp.285-291
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• 2004

The productivity of container terminal is determined by its various operation methods. This paper aims at finding out the factors to enhance the productivity of container handling of quay crane, using simulation technique. Three levels of decision making in terminal operation, strategy, and tactics and operation are selected for defining parameters of simulation The result of the simulation and test shows that the significant factors to improve the productivity are the stack height of container, block dispersion and the distance in yard planning for shipment. Decision making in the operation level, however, is of significance in the mixed condition of strategic and tactical level. The result shows meaningful guidelines in decision making under strategic, tactical and operation level.

• Health Policy and Management
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• v.12 no.3
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• pp.99-111
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• 2002

This paper draws the determinants of National Health Expenditures(min) and collectivizes OECD countries which are positioned by same conditions using the decision tree analysis. Major findings are summarized as follows. We find that the power of influence of income level on NHE has been 58.35% in 1985, 65.37% in 1990, 66.90% in 1995, and 66.47% in 1997. The power of influence of public share in NHE has been on the increase during that period: 19.50% in 1985, 19.91% in 1990, 22.81% in 1995 and 26.88% in 1997. The two factors(income level, public share) tells for the most part of NHE: 77.85% in 1985, 85.28% in 1990, 89.71% in 1995, 93.35% in 1997. Our results support the hypothesis that NHE could be explained mostly by the income level and show that public share is negatively correlated with the growth of NHE.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.31 no.4
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• pp.49-58
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• 2008

This paper proposes a methodology to measure the risk level in real-time for Business Activity Monitoring (BAM). A decision-tree methodology was employed to analyze the effect of process attributes on the result of the process execution. In the course of process execution, the level of risk is monitored in real-time, and an early warning can be issued depending on the change of the risk level. An algorithm for estimating the risk of ongoing processes in real-time was formulated. Comparison experiments were conducted to demonstrate the effectiveness of our method. The proposed method detects the risks of business processes more precisely and even earlier than existing approaches.

• Proceedings of the Korean Institute of Building Construction Conference
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• 2021.11a
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• pp.250-251
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• 2021

A subcontract work order is the basis of the construction process and consists of the root and trunk of the construction industry. The construction process through a subcontract work order is an important element of project success, and it is the basic unit of creating profit in the construction industry. Therefore, correct analysis and forecasting of subcontract work orders allow correct estimation of construction cost and profit which is the foundation of corporate decision making. This study has started to provide predictions of subcontractor's bidding-ratio for decision-making. Since the actual project data has been used in this study, the contribution level of the model is highly expected in actual field. The statistical confidential level of adjusted decision coefficient is concluded low because of limited sample numbers. However, its accuracy and confidence level can be increased through increasing sample numbers, considering more variables, and studying of reducing error.

• Korean System Dynamics Review
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• v.15 no.4
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• pp.85-100
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• 2014

We propose a composite make or buy decision model considering both the transaction cost theory and the resource based view in the Korean defense industry using System Dynamics. We analyze relationship between core variables(transaction frequency, technological uncertainty, the level of technological dependency, technological level and acquisition ability for market information) and 'Make or Buy decision' focused on technological innovation capability. Based on the result, we propose the implications as follows : First, the defence industry needs more R&D investment. Second, it needs a balance between domestic(Make) and overseas(Buy) to increase the technological capability rapidly.

• Journal of Information Technology Services
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• v.13 no.3
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• pp.275-298
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• 2014

The purpose of this study is to verify the difference between the importance level and the satisfaction level of each purchase decision factor of smart phone. Through review of literatures about purchase decision factors, we have derived about attributes of 6 factors. T-test, importance performance analysis (IPA), and regression analysis were conducted to identify priorities among the details of the importance and satisfaction and to analyze the effect relationship between satisfaction of each factor and overall satisfaction. Looking at a few high-priority order, battery capacity, memory capacity, fast and accurate repair, the adequacy of the repair cost, and processor in the top five factors were shown to be an important factor when purchasing smart phones. The results of this study can provide the marketing strategies for smart phone suppliers. In addition, these results imply what factors of smart phones should be more considered before launching into chinese smart phone market.

• Korean Management Science Review
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• v.18 no.2
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• pp.61-72
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• 2001

This paper presents a decision support system (DSS) for selecting the best delivery policy at an internet general shopping mall with its own distribution center and many outside enterprises linked up with the mall. The DSS provides the decision maker with the performance information of three delivery policies (individual delivery, collective delivery, mixed delivery) for the given service level, customer order pattern, direct/indirect delivery ratio, unit costs of various delivery modes, upper level of goods characteristic index for collective delivery poller, etc. Furthermore, the DSS allows the decision maker to perform the sensitivity analyses of three delivery policies for their major parameters and unit costs of delivery modes. The DSS is developed with AweSim simulation 1anguage and Visual Basic programming 1anguage.