• 한국디지털정책학회:학술대회논문집
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• 2004.11a
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• pp.233-246
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• 2004

This paper proposes a design of a citizen advisory model under the consideration of the unique characteristics of the government, namely complex structure of goals, predominance by laws, knowledge driven organization, and the good governance objectives. The legal knowledge-based technology is explored with the aims to facilitate citizens in accessing e-government services in five phases: search, intake, decision-making, explanations, and objection and appeal phases. The design of the citizen advisory model consists of four components: specific service advice, customized form fill-in service, decision-making services, and a statement of reasons service. The prototype of the citizen advisory model is illustrated using the Thai Anti Dumping and Countervailing Act 1999 as a legal domain and e-government services example.

• Proceedings of the Korea Inteligent Information System Society Conference
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• 2001.01a
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• pp.219-223
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• 2001

Within a mechanical system such as an automotive the number of standard machine parts is increasing, so that the parts selection becomes more important than ever before. Selection of appropriate bearings in the preliminary design phase of a machine is also important. In this paper, three decision-making approaches are compared to find out a model that is appropriate to bearing selection problem. An artificial neural network, which is trained with real design cases, is used to select a bearing mechanism at the first step. Then, the subtype of the bearing is selected by the weighting factor method. Finally, types of peripherals such as lubrication methods are determined by a rule-based expert system.

• Korean Journal of Human Ecology
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• v.13 no.6
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• pp.935-941
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• 2004

The purpose of this study is to survey fabric knowledge about apparel products, and to identify not only clothing purchase criteria but the impact of fabrics on the decision-making process in clothing purchase. The 234 questionnaires were distributed to university students(120 males, 114 females), and were analyzed by frequencies, t-test, $x^{2}$ and ANOVA. The results are as follows: 1) The students had apparel fabrics knowledge above the average, and there were partially significant differences in the knowledge by genders. 2) They put a higher priority, in purchasing apparel products, on factors such as design, size, color, fabric, and price of clothing than those including ease of care, sewing, and fashion trend. 3) The consideration of fabrics influenced a post-purchase process. 4) Male students showed less concern, except information search process, with the fabric than females in the decision-making process for clothing purchase.

• Korean Journal of Computational Design and Engineering
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• v.5 no.4
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• pp.319-326
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• 2000

Expert systems using uncertain and ambiguous knowledge are not of the recent interests about uncertainty problem for performing inference similar to the decision making of a human expert. Human factors on rule-based systems often involve uncertain information. Expert systems had been used the methods of conflict resolution in a rule conflict situation, but this methods not properly solved the rule conflict. If a human expert appends a new rule to an original rule base, the rule base rightly causes a rule conflict. In this paper, the problem of rule conflict is regarded as one in which uncertainty of information is fundamentally involved. In the reduction of problem with uncertainty, we propose an enhanced rule ordering method, which improve the rule ordering method using Dempster-Shafer theory. We also propose a combinative index, which involve human factors of experts decision making.

• Korean Institute of Interior Design Journal
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• v.21 no.5
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• pp.289-297
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• 2012

Recently the coffee industries rapidly grow as people's dietary life changes and quality of life improves. Proliferation of coffeehouses let people cognize them as cultural spaces not only mere spaces for drinking coffee beverages. Therefore, distinguished strategy for space design became the one of the most important factor for customers' decision-making. This study analysed the strategies for space design by the brands of coffeehouses, and focused on understanding how those strategies cognized by customers and how they affect customers' level of satisfaction and intention of revisitation. The result of analysis showed that the level of satisfaction was raised when customers cognized unique strategies by brands and the intention of revisitation was raised when the level of satisfaction and reflection of strategy were high. In other words, setting and applying unique strategies by brands are to raise up level of satisfaction and intention of revisitation. The result of study could be used for the basic data on designing coffeehouses attracting customers' revisitation. Also, it could be the basis for effective strategy for customers.

• Asia pacific journal of information systems
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• v.15 no.3
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• pp.41-64
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• 2005

The effects of information quality and the importance of information have been reported in the information Systems(IS) literature. However, little has been learned about the impact of data quality(DQ) on decision performance. Recognizing with this problem, this study explores the effects of contextual DQ on decision performance. To examine them, a laboratory experiment was conducted. Based on two levels of contextual DQ and two levels of task complexity, this study had a $2{\times}2$ factorial design. The dependent variables used to measure the outcomes of decision performance were problem-solving accuracy and time. The results demonstrated that the effects of contextual DQ on decision performance were significant. The findings suggest that decision makers can expect to improve their decision performance by enhancing contextual DQ. This research not only extends a body of research examining the effects of factors that can be tied to human decision-making performance, but also provides empirical evidence to validate and extend DeLone and McLean's IS success model.

• IE interfaces
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• v.16 no.spc
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• pp.45-48
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• 2003

Entity-relationship modeling for designing relational database is a very complicated thinking process that requires extensive knowledge and experiences. It is very likely that designers make mistakes in this process. In order to minimize the mistakes, a systematic method to guide the thinking process is needed. In this research, an entity-relationship modeling system is developed, which resolves the whole process of information modeling, data modeling, and functional dependency relationship analysis into small and simple decision-making steps. Therefore, it can reduce the possibility of making decision errors and improve the efficiency of the modeling process. It's functionality and efficiency is verified through some modeling examples. It is expected that the modeling system can be commercialized, if some functions are added, such as detection, warning, and correction of decision errors, and educational help.

• Journal of the Korean Society of Manufacturing Process Engineers
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• v.13 no.6
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• pp.54-60
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• 2014

In industry, several casting process are widely used to manufacture complex and accurate blank part of hard materials such as aluminum, casting steels, bronze and magnesium alloys which are difficult to manufacture in a blank shape. Even if the casting process does not high accuracy superior surface characteristics other machining process, the casting process is widely used in manufacturing blank part. Furthermore, it is difficult to select appropriate casting process a part among several casting process. for effective selection different process, a careful decision given casting application is necessary. An appropriate casting for a given material and shape condition must be selected for novice engineers in industry. In this paper, an expert system based on an analytic network process(ANP) is suggested for best selection of casting considering a prior interdependency effect among various factors such as material, geometry, process capability, economy and equipment.

• The Journal of Industrial Distribution & Business
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• v.11 no.6
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• pp.19-28
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• 2020

Purpose: Current study aimed at exploring the effects of ambient anger versus sadness on motive type and coping strategy type when consumers make decision. It focused on whether the negative affects of the anger and the sadness differentially induce approach versus avoidance motive at the place of making decision, and also explored the coping strategy differences between the consumers under the anger and those under the sadness, that is, which strategy is more used between problem-focused strategy and affect-focused strategy when they are under each negative affect. Research design, data and methodology: The experimental groups were divided into two types of group such as the anger-felt group and the sadness-felt group. The experiment was performed with the between-subjects design based on the anger and the sadness. Questionnaire data were collected from undergraduate students assigned to each of the anger group and the sadness group operated by the scenario method, and the data were used to verify research hypotheses by t-test. Results: - First, the anger induced the approach motive more rather than the avoidance motive in making decision. Second, to cope the negative affects, consumers under the anger used problem-focused strategy more than affect-focused strategy, while those under the sadness used affect-focused strategy more than problem-focused strategy. Therefore, this article contributes to the theory related to motive and making decision taken place to consumers under ambient negative emotions. Conclusions: Focusing on the results of this study, there could be managerial implications to brand or product marketing managers. Checking which affect consumers previously felt between anger and sadness when they are under negative affects is at issue to the brand or product marketers when they appeal their brand or product to the consumers. The marketers should build and communicate the messages about their product or brand in the respect of the points of showing problem solution or the best way to handle things to appeal the consumers under the anger. And they should develop and communicate the messages about their product or brand emphasizing the aspects of letting consumers' sad feelings out somehow or controlling their emotions to the consumers under sadness.

• Proceedings of the Korean Institute Of Construction Engineering and Management
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• 2007.11a
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• pp.864-867
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• 2007

Recent advancement in ICT and IT infrastructure drives the construction industry towards a IT-based industry. Accordingly, the importance of the planning phase of a project is significantly highlighted due to recent large-scale national development projects such as U-city and multifunctional administration city. various development and studies are conducted on the convergence of 3D CAD and GIS in order to support the decision making by simulation of each phase of construction prior to the actual construction of a building. However there has been limits to the implementation of the IT technology in the planning phase due to its characteristics such as high reliability on the experts knowledge and the compliance of the administration work. In this study, a trendy issue of the convergence of the GIS technology with the 3D CAD design data is suggested to improve the efficiency of a decision support in the planning phase.