• Asia pacific journal of information systems
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• v.15 no.2
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• pp.195-218
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• 2005

The emergence of ubiquitous computing environment will change the service architecture of business information systems such as Decision Support System(DSS), which will be a new application. Recent mobile DSSs allow the decision makers to be benefited from web and mobile technology. However, they seldom refer to context data, which are useful for proactive decision support. Meanwhile, ubiquitous applications so far provide restricted personalization service using context and preference of the user, that is, they do not fully make use of decision making capabilities. Hence, this paper aims to describe how the decision making capability and context-aware computing are jointly used to establish ubiquitous applications. To do so, an amended DSS paradigm: CKDDM(Context-Knowledge-Dialogue-Data-Model) is proposed in this paper. What will be considered for the future decision support systems when we regard ubiquitous computing technology as an inevitable impact that enforces the change of the way of making decisions are described. Under the CKDDM paradigm, a framework of ubiquitous decision support systems(ubiDSS) is addressed with the description of the subsystems within. To show the feasibility of ubiDSS, a prototype system, CAMA-myOpt(Context-Aware Multi Agent System-My Optimization) has been implemented as an illustrative example system.

• The Journal of Information Systems
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• v.10 no.1
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• pp.5-25
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• 2001

The main purpose of this paper is to develop a Delphi Decision Support System based on the web, which can improve the conventional Delphi method. Among major drawbacks of the conventional Delphi methods are cost and efforts to distribute and collect the questionnaire by the regular mail and the tardiness in collecting, categorizing, analyzing, and reporting the result of the questionnaire. With the proposed Delphi Decision Support System, the moderator sends the e-mail to invite the member of panels so that they may visit the homepage of the Delphi Decision Support System. When the panelists input their opinions about the issues, the Delphi Decision Support System analyzes the inputs and reports the result without delay. To implement the Delphi Decision Support System, we integrated Microsoft SQL Server 6.5, jdbcKona/MS SQLServer 4 JDBC driver, and Java Development Kit 1.2

• Journal of Korea Entertainment Industry Association
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• v.13 no.7
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• pp.173-181
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• 2019

This study was to investigate the effect of career decision-making self-efficacy and social support of university students majoring dance on career preparation behavior. For the study, 300 students from universities in capital area were selected to measure their career decision-making self-efficacy, social support and career preparation behavior. Correlation analysis and multiple regression analysis have been conducted to analyze research question using SPSS Ver. 24.0. The conclusion from results and discussion are as follows. First, there were positive relationships between career decision-making self-efficacy and social support and career preparation behavior. Second, career decision-making self-efficacy influenced career preparation behavior. Third, appraisal support a sub-factors of social support effected on career preparation behavior but emotional support, material support and informational support did not effect on career preparation behavior. Forth, career decision-making self-efficacy effected more than social support on career preparation behavior. Shortly, this study explored that career decision-making self-efficacy influenced career preparation behavior.

• Quality Improvement in Health Care
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• v.8 no.2
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• pp.186-207
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• 2001

Background : This study presented an analysis of healthcare quality indicators using data mining and a development of decision support system for quality improvement. Method : Specifically, important factors influencing the key quality indicators were identified using a decision tree method for data mining based on 8,405 patients who discharged from a medical center during the period between December 1, 2000 and January 31, 2001. In addition, a decision support system was developed to analyze and monitor trends of these quality indicators using a Visual Basic 6.0. Guidelines and tutorial for quality improvement activities were also included in the system. Result : Among 12 selected quality indicators, decision tree analysis was performed for 3 indicators ; unscheduled readmission due to the same or related condition, unscheduled return to intensive care unit, and inpatient mortality which have a volume bigger than 100 cases during the period. The optimum range of target group in healthcare quality indicators were identified from the gain chart. Important influencing factors for these 3 indicators were: diagnosis, attribute of the disease, and age of the patient in unscheduled returns to ICU group ; and length of stay, diagnosis, and belonging department in inpatient mortality group. Conclusion : We developed a decision support system through analysis of healthcare quality indicators and data mining technique which can be effectively implemented for utilization review and quality management in a healthcare organization. In the future, further number of quality indicators should be developed to effectively support a hospital-wide Continuous Quality Improvement activity. Through these endevours, a decision support system can be developed and the newly developed decision support system should be well integrated with the hospital Order Communication System to support concurrent review, utilization review, quality and risk management.

• 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 the Korean Society of Environmental Restoration Technology
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• v.12 no.2
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• pp.50-60
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• 2009

A spatial decision making process is needed when a local government tries to make polices and plans for eco-tourism in urban and regional site scale. This study aimed to suggest an assessment model to support spatial decision making on planning and making polices for eco-tourism. The model composes 6 stages of 'setting up ecogeographic territories'. 'value analysis method as ecotourism resources' 'synthetic assessing', 'grading values', 'selecting main resources for ecotourism' and 'spatial decision making support'. Applying the model to Shiheung city in Kyounggi province, validity was secured. By using the model, it was possible to make some decisions effectively such as selection of ecotourism resources, decision of the priorities of polices for ecotourism, and setting up the type of ecotourism to be introduced. In addition, by visualizing high valued resources and areas for ecotourism it w possible to support to make plans and policies effectively.

• 제어로봇시스템학회:학술대회논문집
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• 2000.10a
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• pp.368-368
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• 2000

In this paper, we present forecasting ozone concentration with decision support system. Since the mechanism of ozone concentration is highly complex, nonlinear, and nonstationary, modeling of ozone prediction system has many problems and results of prediction are not good performance so far. Forecasting ozone concentration with decision support system is acquired to information from human knowledge and experiment data. Fuzzy clustering method uses the acquisition and dynamic polynomial neural network gives us a good performance for ozone prediction with ability of superior data approximation and self-organization.

• Asia pacific journal of information systems
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• v.10 no.1
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• pp.1-18
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• 2000

One stream of the GDSS(Group Decision Support System) research is to investigate how GDSS affects decision performances of small groups according to task types, support features, meeting facilitation modes and meeting environments. But little study has investigated the effects of group member characteristics on group decision processes and outcomes depending upon whether GDSS is provided or not. To date, most GDSS studies have not controlled group member characteristics(e,g. personality, sex, decision style) in laboratory experiments. However, this study included the decision styles of group members as an independent variable. Therefore, this study investigated how differently members of two different decision styles perceive the use of GDSS in small group meetings through lab experiments. The two decision styles are feeling(F) style and thinking(T) style. We found that the effect of GDSS is a function of individual's decision style only in the communication thoroughness variable. The decision style is a statistically significant factor that can mediate the effects of the group support technology on the perceived communication thoroughness. Specifically, the GDSS is positively related to participants' perception about satisfaction on decision process, goal achievement, communication thoroughness, degree of influence-outward and effort for achieving meeting goals.

• Management Science and Financial Engineering
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• v.10 no.1
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• pp.1-23
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• 2004

The changing structure of organization and the increasing diversity of business have forced organizations to have abilities to coordinate dispersed business activities. They have required cooperation and coordination among the functional units in the organization which should involve group decision-making processes. Although many group decision-making support tools and methods have been introduced to enable the collaborative process of group decision-making, they often lack the features supporting the dynamic complexity issue frequently occurring at group decision-making processes. This results in cognitive unfit between the group decision-making tasks and their supporting tools, bringing about mixed results in their effects on group decision-making. This study proposes system dynamics modeling as a group decision-making support tool to deal with the group decision -making tasks having properties of dynamic complexity in terms of cognitive fit theory.

• Journal of The Korean Society of Integrative Medicine
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• v.11 no.4
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• pp.83-93
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• 2023

Purpose : This study examined the effects of college students' occupational value and social support on their career decision status. Methods : This research was conducted between May 6 and May 30 in 2023 with 228 college students from city B in South Korea as the study participants. The frequency, percentage, mean, and standard deviation of the collected data were analyzed, while t-test, ANOVA test, Scheffe's test, Pearson correlation coefficient, and a multivariate regression analysis were conducted using the SPSS/WIN 22.0 program. Results : The analysis revealed that the research subjects had an average occupational value of 3.58±.44, social support of 4.18±.56, and a career decision status of 2.82±.59. Notably, a significant difference in the career decision status of the students was observed with regard to their fields of major (F=2.36, p=.019), However, no other variable demonstrated a significant difference. The confidence level pertaining to career decision-making was found to be positively correlated with the pursuit of status and self-direction (r=.25, p<.001), pursuit of creativity (r=.16, p=.017), pursuit of relationship (r=.35, p<.001), pursuit of diversity and change (r=.16, p=17), pursuit of interest (r=.19, p=.003), pursuit of compensation (r=.29, p<.001), pursuit of professionalism (r=.46, p<.001), material support (r=.25, p<.001), appraisal support (r=.35, p<.001), informational support (r=.32, p<.001), and emotional support (r=.29, p<.001). Moreover, the indecision level related to career decision-making demonstrated a positive correlation with the pursuit of excellence (r=.17, p=.010). The factors that affected the confidence level of career decision-making included appraisal support (β=.29, p<.001) and pursuit of compensation (β=.19, p=.003), whose collective explanatory power was 15 %. It was further observed that appraisal support (β=-.27, p<.001), pursuit of professionalism (β=-.16 p=.017), pursuit of excellence (β=.17, p=.005), and the field of major (β=-.16, p=.012) largely influenced the indecision level related to career decision-making, together bearing an explanatory power of 17 %. Conclusion : The results of this study have important implications for enhancing college students' career decision status. Moreover, further research investigating the diverse variables that affect students' career decision status is necessary, along with effective endeavors to improve education and develop programs that positively affect college students' career decision status.