• Korean Management Science Review
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• v.14 no.2
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• pp.185-198
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• 1997

Business process reengineering(BPR) aims at a radical redesign of our business processes in order to achieve dramatic improvements in their performance. However, the fact that many BPR projects have failed hesitates the companies who have started to use BPR or who are planning to do so. Implementing a radical plan from a cross-functional perspective needs a more careful consideration of process vision, preventive measures and contigency plan. Our research suggests to use a visual decision making process (VDMP) in the development of a process vision and implementation plan. A BPR project of Carlaon School of Mnagement (CSOM) at the University of Minnesota is illustrated to show our suggested methodology.

• Journal of the Korean Operations Research and Management Science Society
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• v.14 no.2
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• pp.185-185
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• 1989

Business process reengineering(BPR) aims at a radical redesign of our business processes in order to achieve dramatic improvements in their performance. However, the fact that many BPR projects have failed hesitates the companies who have started to use BPR or who are planning to do so. Implementing a radical plan from a cross-functional perspective needs a more careful consideration of process vision, preventive measures and contingency plan. Our research suggests to use a visual decision making process (VDMP) in the development of a process vision and implementation plan. A BPR project of Carlson School of Management (CSOM) at the University of Minnesota is illustrated to show our suggested methodology.

• 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 Korea Safety Management & Science
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• v.3 no.2
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• pp.133-144
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• 2001

This article deals with the multiple alternative proposal of Strategy. when Decision makers meet a very complex and important problems to take a good choice. It might not be easy that we make a decision and accept the decision as an exact result of analysis at a complication and uncertain situation. Although the decision under unpredictable state is many existence and each field is classified to support it. he can not provide exact estimations and be able to specify a result and forecasting. This is the reason why the original research use Statistical Survey method and Visual Decision Making Process(VDMP) to improve decision analysis method. Therefore, Our research suggests that the VDMP utilized in the strategic decision making situation as a group decision adding tool, can be applied in the development of a process vision and implementation plan. as a result, researcher describe step by step the process of VDMP.

• Journal of the Korea Safety Management & Science
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• v.4 no.3
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• pp.141-156
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• 2002

This article deals with the multiple alternative proposal of Venture Business policy. when Decision makers meet a very complex and important business to take a good choice. It might not be easy that we make a decision and accept the decision as an exact result of analysis at a complication and uncertain situation. This is the reason why the original research use Statistical Survey method and Visual Decision Making Process(VDMP) to improve decision analysis method. Therefore, Our research suggests that the VDMP utilized in the strategic decision making situation as a group decision adding tool, can be applied in the development of a process vision and implementation plan. as a result, researcher describe step by step the process of VDMP

• Journal of Hospice and Palliative Care
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• v.19 no.1
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• pp.1-4
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• 2016

As advance care planning is taking center stage in the field of end-of-life care, various tools have been developed to aid in the often emotional and difficult decision-making process. Video decision support tools are one of the most promising means of assistance, of which the modus operandi is to provide more comprehensive and precise information of medical procedures to patients and their families, allowing them to make better informed decisions. Despite such value, some are concerned about its potential negative impact. For example, video footages of some procedures may be shocking and unpalatable to non-medical professionals, and patients and families may refuse the procedures. One approach to soften the sometimes unpleasant visual of medical procedures is to show less aggressive or more relaxing scenes. Yet another potential issue is that the objectivity of video decision support tools might be vulnerable to the very stakeholders who were involved in the development. Some might argue that having multiple stakeholders may function as checks and balances and provide collective wisdom, but we should provide more systematic guarantee on the objectivity of the visual decision aids. Because the decision of the modality of an individual's death is the last and most significant choice in one's life, no party should exert their influence on such a delicate decision. With carefully designed video decision support tools, our patients will live the last moments of their lives with dignity, as they deserve.

• 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 Distribution Science
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• v.13 no.4
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• pp.9-19
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• 2015

Purpose - This study focuses on the use of evaluative criteria software for imprecise market information, and product mapping relationships between design parameters and customer requirements. Research design, data, and methodology - This study involved using the product predicted value method, synthesizing design alternatives through a morphological analysis and plan, realizing the synthesis in multi-criteria decision-making (MCDM), and using its searching software capacity to obtain optimal solutions. Results - The establishment of product designs conforms to the customer demand, and promotes the optimization of several designs. In this study, the construction level analytic method and the simple multi attribute comment, or the quantity analytic method are used. Conclusions - This study provides a solution for enterprise products' multi-goals decision-making, because the product design lacks determinism, complexity, risk, conflict, and so on. In addition, the changeable factor renders the entire decision-making process more difficult. It uses Fuzzy deduction and the correlation technology for appraising the feasible method and multi-goals decision-making, to solve situations of the products' multi-goals and limited resources, and assigns resources for the best product design.

• The Research Journal of the Costume Culture
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• v.27 no.6
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• pp.539-552
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• 2019

The purpose of the current study was to examine the role of information on shapewear's functionality in consumers' purchase decisions in an online shopping context. Through two steps of stimulus development process, four mock websites were developed to conduct a main study. In the main study, a 2 (visual information: absent vs. present images of the shapewear's functionality) x 2 (verbal information: absent vs. present descriptions of the shapewear's functionality) between-subject factorial design was employed to examine the impact of visual and verbal information regarding the functionality of shapewear on the consumer decision-making process (i.e., attitudes and purchase intentions). The results showed that verbal information about how shapewear reduces the size of specific body parts (i.e., waist, abdomen, hips, and thighs) were effective in increasing perceived attractiveness in an online context, which increased attitudes and purchase intentions. In addition, attitudes toward the shapewear mediated the effects of expected physical attractiveness on purchase intentions. The results of this study provided empirical support for the importance of expected physical attractiveness in consumers' online purchase decision on shapewear and useful managerial implications for enhancing the effectiveness of online shapewear presentations by including descriptions of the functionality of shapewear in decreasing the size of body parts.

• Proceedings of the IEEK Conference
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• 2000.07b
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• pp.727-730
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• 2000

Recently, RoboCup soccer simulation has been regarded as a good benchmark problem for multiagent researches. Soccer agents have to make decision based on visual and auditory information, which are sent from the soccer server. In order to develop a strong team, we have to design decision-making process of each player agent. However, it is very difficult for us to design the decision-making processes in detail, because we don't know what actions of each player are effective for the team. In this paper, we attempt to apply co-evolutionary method, which is one type of analogies of evolution, to improve the team play. Agents have hand coded basic skills, which include dribble, shoot, pass etc. Agents already can play autonomously and independently. Individual agent skills are characterized by some parameters. By coevolving teams with these parameters, we obtained relatively interesting teams, in which players behave cooperatively in order to win the soccer game. From some experiments, we discuss what teams are evolved.