• Journal of the Korean Society of Manufacturing Technology Engineers
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• v.19 no.1
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• pp.94-100
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• 2010

Nowadays, several nontraditional machining(NTM) processes are widely used to machine a complex and accurate shape part of hard materials, such as titanium, ceramics, high strength temperature resistant and refractory materials which are difficult to machine and having high strength, hardness, toughness. Machining of these complex shapes in such materials by traditional machining processes are very difficult. The NTM processes is important in the areas of micro- and nano scale machining, where high accuracy and superior surface characteristics are required, which can only be achieved using these NTM processes. So, for effective selection of different NTM processes, careful decision making for a given NTM application is often necessary. An appropriate NTM process for a given material and shape condition is very difficult for the novice engineers. In this paper, an expert system based on an analytic network process(ANP) is suggested for a best selection of NTM process in a NTM application considering an prior interdependency effect among various factors.

• International Journal of Contents
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• v.6 no.4
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• pp.69-78
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• 2010

In recent years, many leading corporations are actively adopting IT as competitive resources to improve productivity and processes efficiency with strategic alignments. In effect, IT investment also continues to increase. As a vast growth of IT investment, questions and criticism on recent IT investment results are also rapidly being raised. Especially, improper decision making and management on IT investment may cause negative impact on the company's reputation and finances, therefore companies need reasonable and wise investment decision making on new IT projects. This study applies the conceptual framework of IT governance to IT investment decision making cases to examine how IT investment governance influences the quality of IT investment decision making and how business-IT strategic alignment affects the quality of IT investment decision making. This paper contributes to identify the main factors for reasonable and effective IT investment decision making and expected to provide proper guidelines for IT investment decision making.

• Culinary science and hospitality research
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• v.23 no.6
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• pp.161-172
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• 2017

The purposes of this study were to examine if a decision making by a tourist sequentially or hierarchically occurs in a tourism destination and to test determinants that have an effect on both a sequential and non-sequential decision making. An instrument for the study was developed with three steps. A total of 420 and 380 questionnaire were collected respectively for the first two round surveys. For the third step, a pilot test was conducted with 30 respondents. And the data analysis utilized SPSS 18.0. A logistic regression analysis with variables of tourism activity and demography was employed to investigate the factors that affect a sequence of decision-making process. As an important result, the higher the age of the tourist in a tourism destination, the more conspicuous the consumption expenditure is made through the sequential decision-making process. Additionally, it is unreasonable to apply the premises and assumptions in extant consumer behavior to tourist behavior. The process of decision making by tourists in tourism areas is driven by either non-sequential or non-hierarchical decision-making process. More discussion and implications were provided.

• The Journal of Fisheries Business Administration
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• v.32 no.1
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• pp.81-97
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• 2001

The main objective of this research is to identify the evaluation criteria of the local governments' projects for the fisheries industry development (LGPFID) and to develop the evaluation software prototype applicable to LGPFID. This research does not try to develop the whole evaluation processes and programs for LGPFID, but just to outline the approach to managing LGPFID. The evaluation processes and programs developed in this study is based on the group decision support systems(GDSS), which is a collaborative, system-oriented, and objective system useful in evaluating LGPFID. Specifically the goals of the programs are to : (1) enhance the quality of evaluation process for LGPFID; (2) provide the local government decision makers' and interest groups' access to comprehensive evaluation information; (3) support private-public collaboration in government's decision making. We used analytic hierarchy process model as a group decision making model and programmed the application software prototype with Visual Basic language.

• Journal of the Korean Operations Research and Management Science Society
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• v.20 no.1
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• pp.11-26
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• 1995

We have used various information technologies (IT) in group decision-making for increasing effectiveness and satisfaction of group decision-making process. Recently, a new form of IT so called Group Decision supprot System (GDSS) was introduced into group decision-making process. Previous experimental studies about effectiveness of GDSSS have been inconsistent and the results were mixed. There was no empirical studies about GDSS in Korea. In this study, we divide two groups-GDSS supported group and traditional face-to-face group and investigate impacts of GDSS on group decision-making processes and outcomes. An idea generation task for operational action plan development, implementing GEO's strategic vision, served as the decision-making context. Supported GDSS is GroupSystems V, which had been developed by Univ. of Arizona. It was translated by Korean. According to the results, Number of nonredundant ideas in GDSS group is two or three times more than Non-GDSS grop. GDSS group feel more equal status, have better interpersonal relationship, have more confidence on group decision than Non-GDSS group. But satisfaction of participants on decision-making process and outcome has not showed a significant difference between two groups. Because all of participants in GDSS group were novice to GDSS. With this results we suggest further studies on transforming western type GDSS to Korean decision-making culture. It will be cornerstone for development of GDSS in Korean desision-making culture. It will be cornerstone for devlopment of GDSS in Korean decsion making culture environment.

• Journal of Environmental Impact Assessment
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• v.6 no.1
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• pp.121-133
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• 1997

EIA should be regarded as an aid to improve the decision making processes because it seeks public opinion and external knowledge in order to ensure the maximum degree of fairness and balance in the final decision as much as possible. According to the above benefits, various decision making systems containing EIA concepts were developed in the area of ground water, traffic, disaster or accident and environment in Cheju Island. But because the development of various decision making systems can be the cause of new impact, it was studied the cause and impact of their development. The major reasons for developing the various decision making system like EIA are the lack of the consideration for the impact of project when it is selected project fulfilling EIA and the increase of the effort for the improvement in the professional quality for one subject without the comprehensive assessment among the subject related to environmental impacts. And the development of the various decision making systems like EIA has caused the several impacts like cost elavoration, the relay of project period, etc. Therefore, after it is improved the problems of present EIA on the comprehensive assessment, the various decision making systems like EIA should be integrated in EIA decision making system.

• Journal of the Korean Operations Research and Management Science Society
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• v.30 no.1
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• pp.75-94
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• 2005

Research in the decision sciences has continued to develop a variety of mathematical models as well as software tools supporting corporate decision-making. Yet. in spite of their potential usefulness, the models are little used in real-world decision making since the model solution processes are too complex for ordinary users to get accustomed. This paper proposes an intelligent and flexible model-solver integration framework that enables the user to solve decision problems using multiple models and solvers without having precise knowledge of the model-solution processes. Specifically, for intuitive model-solution, the framework enables a decision support system to suggest the compatible solvers of a model autonomously without direct user intervention and to solve the model by matching the model and solver parameters intelligently without any serious conflicts. Thus, the framework would improve the productivity of institutional model solving tasks by relieving the user from the burden of leaning model and solver semantics requiring considerable time and efforts.

• Journal of Korean Academy of Nursing Administration
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• v.7 no.2
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• pp.301-314
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• 2001

The main purpose of this research is to describe comprehensively the processes of clinical decision making in novice critical care nurses through clinical experience. This research was an exploratory, longitudinal study using a fieldwork approach incorporating "think-aloud" method and in-depth interviews with the study participants. The study participants consisted of 5 novice nurses assigned to critical care units at a tertiary medical center located in Seoul, among a group of 27 novice nurses who started at the same period at this hospital. The data were collected from March 1999 to April 2000. The major findings of the study is that the novice nurses followed the analytic linear model of clinical decision making in the beginning, but were changed increasingly to follow the comprehensive, integrated model of clinical decision making. Through repeated experience that resulted in increasing repertoire of clinical schema and familiarity of task environments of clinical practice the novice nurses expanded their ability to arrive at comprehensive integration of information and to arrive at accurate and time-efficient decisions. Both the analytic, linear model mostly used at the beginning period and the comprehensive, integrated model that seems to be the mode significantly dependent upon experience seem to have strengths and weaknesses as decision making processes in clinical situations. Hence, it is imperative to develop an effective orientation and training program for novice nurses through the use of clinical preceptors. In addition, students should be exposed to the process of clinical decision making early in their nursing education through an appropriate clinical experiences and clinical assignments.

• Asia pacific journal of information systems
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• v.6 no.1
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• pp.39-74
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• 1996

Most of the research on a group decision support system [GDSS] has focused on directly examining its effect on the decision outcomes. Under this research framework, however, the role of group interaction process is largely ignored. This study focuses on the effect of the group interaction process on decision-making performance when a GDSS is used as the only medium for group interaction. Specifically, this study sought to determine whether significant relationships exist between the quality of the decision and the decision functions, contingent phases, and different decision paths. Natural interaction processes of decision -making groups was simulated in an experimental setting in which volunteer subjects from several business classes were assigned to dispersed three-person groups undertook the experimental task via a decision network. A baseline GDSS was developed for this setting. The results of this study confirmed earlier studies in a non - GDSS setting to suggest significant effects of decision functions and contingent phases on the quality of decision but no significant relationship between decision path and the quality of group decision.

• Proceedings of the KSR Conference
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• 2003.10b
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• pp.454-459
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• 2003

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 reviewed ECOTRACK system and present the plan of develope decision-making support system for track maintenance appropriate to local condition.