• Title/Summary/Keyword: Support Decision Making

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An Analysis of Nursing Decision Tasks, Characteristics, and Problems with Decision Making (환자 간호에 대한 간호사의 의사결정 내용과 특성 및 의사결정 장애요인에 관한 분석)

  • 최희정
    • Journal of Korean Academy of Nursing
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    • v.29 no.4
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    • pp.880-891
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    • 1999
  • The purpose of this study was to describe nursing decision tasks, their characteristics, and problems associated with decision making. The subjects were 32 nurses who had at least one-year nursing experience and worked on medical-surgical units or intensive care units(ICU). They were asked to describe their decision making experiences in patient care situations and to identify the characteristics of each decisions. They were also asked to describe perceived problems associated with decision making in nursing. The responses on nursing decision tasks and problems were analyzed with content analysis and the decision characteristics were identified by statistical analysis of variance. It was found that there were 16 nursing decisions which are as follows : decisions related to interpreting and selecting appropriate strategies for pain management(6.6%) ; decisions related to providing emotional support (0.7%) ; decisions related to explaining the patient's condition and rationale for procedures(1.1%) ; decisions related to assisting patients to integrate the implications of illness and recovering into their lifestyles(2.9%) ; decisions related to detecting significant changes In patients and selecting appropriate intervention strategies (17.2%) ; decisions related to anticipating problems and selecting preventive measures(4.2%) ; decisions related to identifying emergency situations(0.4%) ; decisions related to effective management of patient crisis until physician assistance becomes available(2.8%) ; decisions related to starting and maintaining intravenous therapy(2.6%) ; decisions related to administering medications(8.1%) ; decisions related to combating the hazards of immobility(7.3%) : decisions related to treating wound management strategies(5.5%) ; decisions related to relieving patient discomfort(13.9) ; decisions related to selecting appropriate strategy according to the changing situation of the patient(18.2%) ; decisions related to selecting the best strategy for patient management(5.3%) ; and decisions related to coordinating, ordering, and meeting the various needs of the patient (3.1%). The nurses reported the fellowing problems in decision making : difficulties due to lack of knowledge and experience (18.6%) ; uncertainty and complexity of decision tasks(15.2%) ; lack of time to make decisions(2.9%) ; personal values which conflict with other staff(15.7%) ; lack of selection autonomy(30.0%) ; and organizational barriers(7.6%). Continuing education programs and decision support systems for frequent nursing decision tasks can be established on the basis of these results. Then decision ability in nurses will increase through the education programs and decision support systems, and then quality of nursing service will be better.

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Model of the Fit between Organizational Decision-Making and Decision Support Systems (조직의사결정과 DSS의 적합성 모형)

  • 김명식;유병우
    • Journal of Korean Society of Industrial and Systems Engineering
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    • v.20 no.44
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    • pp.217-227
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    • 1997
  • There are six perspectives of fit in strategy research, each implying distinct theoretical meaning and requiring the use of specific analytical schemes. But there is a few literature of the perspective in the discipline of Organizational Decision-Making and DSS. This study is a prior research which objective is to investigate the perspective of fit emprically in the discipline. The data were collected throughout the sampled business firms with premade questionaire and analysis were conducted with correlation analysis, regression, ANOVA and so forth. The research finding is that both predictors, one of which can be the moderator, influence the performance, and that the joint-effect of them influence the performance. Thus,'Fit as Moderation' would be suggested to be a proper model for the research in the discipline of Organizational Decision-Making and Decision Support Systems.

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DECISION SUPPORT SYSTEM FOR SUBURBAN STATION REHABILITATION

  • TaeHoon Hong;Sangyoub Lee
    • International conference on construction engineering and project management
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    • 2005.10a
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    • pp.855-861
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    • 2005
  • Every public agency governing infrastructure has to plan effectively for rehabilitation of existing facilities within the constraints of the capital program. Numerous technical, social, political, financial, and management constraints govern the decision to rehabilitate a facility. However, without a systematic procedure for selecting facilities for rehabilitation, within the prevailing constraints, it is possible that the funds available for rehabilitation might be suboptimized. Therefore, a decision support system that assists the user in selecting facilities for rehabilitation while considering the technical, social, financial, and political and management constraints will be useful in the decision-making process. This paper compares the Analytical Hierarchy Process (AHP) with the Swing Weight method used to prioritize functional criteria for suburban station rehabilitation. This paper also contains a brief discussion about the relevance of the Multi Attribute utility theory in developing a decision model for the problem at hand. The results of this paper provides the user with a decision support system that would prioritize the stations in order of their weights obtained by a systematic evaluation of various criteria and sub-criteria involved in the decision making process

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Hydraulic analysis of design alternatives to improve an industrial water distribution system (공업용수 배수관망시스템을 개선하기 위한 설계 대안의 수리해석)

  • Lim, Seong-Rin
    • Journal of Korean Society of Water and Wastewater
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    • v.29 no.1
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    • pp.97-106
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    • 2015
  • A CCTV inspection method has been widely used to assess sewer condition and performance, but Korea lacks a proper decision support system for prioritizing sewer repair and rehabilitation (R&R). The objective of this paper is to introduce the results that we have developed in the Sewer Condition Assessment and Rehabilitation Decision-making (SCARD) Program using MS-EXCEL. The SCARD-Program is based on a standardized defect score for sewer structural and hydraulic assessment. Priorities are ranked based on risk scores, which are calculated by multiplying the sewer severity scores by the environmental impacts. This program is composed of three parts, which are decision-making for sewer condition and performance assessment, decision-making for sewer R&R priority assessment, and decision-making for optimal budget allocation. The SCARD-Program is useful for decision-makers, as it enables them to assess the sewer condition and to prioritize sewer R&R within the limited annual budget. In the future, this program logic will applied to the GIS-based sewer asset management system in local governments.

Design of Initial Decision-Making Support Interface for Crop Facility Cultivation (작물 시설재배 초기 의사결정 지원 인터페이스 설계)

  • Kim, Kuk-Jong;Cho, Yong-Yoon
    • Journal of Internet of Things and Convergence
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    • v.8 no.2
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    • pp.71-78
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    • 2022
  • Recently, the number of people wishing to return to farming is increasing, However, the lack of farming experience and management information of returnees is one of the main reasons for increasing the probability of agricultural failure. This study proposes an interface to support early facility cultivation management decision-making for returnees who want facility cultivation. The proposed interface is designed with UML(Unified Modeling Language) and provides key decision-making information such as land/crop suitability, land/facility costs, and management costs according to input data such as cultivation areas, selected crops, and cultivation types selected by the user. Through the proposed interface, facility cultivators can effectively and quickly acquire initial decision-making information for facility cultivation in the desired target area.

An Analysis of the Group Decision Making for the Development of a Korean Group Support System: The Field Experiment using Office Workers (우리나라 Group Support System 개발을 위한 집단 의사 결정 특성 분석: 사무실 근로자들을 대상으로 한 실험 연구)

  • Chun, Ki-Jeong
    • Asia pacific journal of information systems
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    • v.9 no.1
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    • pp.143-163
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    • 1999
  • This study investigates the effect of group size on group performance, here the quality of group decision, Four effects are proposed and tested in a field experimental setting : (1) the relationship between the group size and the distribution of individual's problem-solving ability ; (2) the change of the group decision quality as group size increases ; (3) the relationship between the group decision quality and the quality of the best/worst member as group size increases ; (4) the relationship between the group decision quality and the average quality of individuals in the group as group size increases. Data showed that contrary to the exiting results, group decision quality was not improved with the group size. Rather, it showed a little tendency that group decision quality was worsened with the group size. Data also showed that consensus-oriented group decision making process produced the compromised output. Thus, group decision quality was not better than the average group members'. The opinion of the best member was not accepted. The implications of the findings are discussed for the development of a Korean GSS.

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IMPROVING DECISION SUPPORT PROCESS IN COOPERATIVE DESIGN FOR BUILDING PROJECT

  • Su-Kyung Cho;Chang-Hyun Shin;Jae-Youl Chun;Yoon-Ki Choi;Dong-Woo Shin
    • International conference on construction engineering and project management
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    • 2005.10a
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    • pp.1144-1149
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    • 2005
  • This paper presents how to establish the decision support model for the cooperative design in order to improve design coordination and optimize the building system. With this view, the paper presents the method that analyzes decision making participants of each building system on drawings. It also presents the combination evaluation method from the viewpoint of performance, cost and constructability to improve the decision making process in cooperative design.

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Efficient Decision Making Support System by Rough-Neural Network and $\chi$2 (러프-신경망과 $\chi$2 검정에 의한 효율적인 의사결정지원 시스템)

  • Jeong, Hwan-Muk;Pi, Su-Yeong;Choe, Gyeong-Ok
    • The Transactions of the Korea Information Processing Society
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    • v.6 no.8
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    • pp.2106-2112
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    • 1999
  • In decision-making, information is the thing manufactured as the useful type for decision -making. We can improve the efficiency of decision-making by elimination of unnecessary information. Rough set is the theory that can classify and reduce the unnecessary. But the reduction process of rough set becomes more complex according to the number of attribute and tuple. After eliminating of the dispensable attributes using $\chi$2 and rough set, the indispensable attributes are used for the units of input layers in neural network. This rough-neural network can support more correct decision-making of neural network.

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A Multilevel Model Integration for Collaborative Decision Making (협동적 의사결정을 위한 다단계 모형 통합)

  • 권오병;이건창
    • Journal of the Korean Operations Research and Management Science Society
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    • v.23 no.2
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    • pp.103-129
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    • 1998
  • Corporate level decision making with multiple decision makers in a consistent way is essential in Decision Support System. However, since the decision makers have different interests and knowledge, the models used by them are also different in their level of abstraction. This makes decision makers waste a lot of efforts for an integrated decision making. The purpose of this paper is to propose an integration mechanism so that collaborative decision making models may be used synthetically in multi-abstraction level. Models are classified as multimedia model, mathematical model, qualitative model, causal & directional model, causal model, directional model and relationship model according to the level of abstraction. The proposed integration mechanism consists of model interpretation phase. model transformation phase, and model integration phase. Specifically, the model transformation Phase is divided into (1) model tightening mode which gather information to make a model transformed into upper level model, and (2) model relaxing mode which makes lower level model. In the model integration phase, models of same level are to be integrated schematically. An illustrative M&A-decision example is given to show the possibility of the methodology.

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A Descriptive Study of the Korean Managers' Small Group Decision-Making Process: An Interaction Process Analysis (한국 중간관리자를 대상으로 한 행태적 집단 의사결정 과정에 관한 연구)

  • Chun, Ki-Jeong;Park, Jae-Shin
    • Asia pacific journal of information systems
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    • v.11 no.3
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    • pp.127-147
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    • 2001
  • This paper presents an analysis of Korean middle managers' decision-making processes. The sample included the observations of decisions made by 17 groups with 5 to 7 members each. The 5 hour-long, in average, decision processes were analysed by a modified system of Fisher's(1970) Interaction Process Analysis. The results showed that Korean managers followed alternative-focused decision processes, as opposite to value-focused ones. That is, the decision-making groups showed a strong trend to elaborate on alternative generation and evaluation right after the situation analysis. They tended to discuss the objectives of decision and relevant criteria only to resolve conflicts arisen during the evaluation process of alternatives. The analysis also showed that a decision proposition was more frequently followed by negative responses than positive ones and by interpretative evaluations than substantiative ones. The lessons from this study suggest a direction for the development of group decision support systems tailored for Korean cultural characteristics. This study is also meaningful as the first observation and empirical analysis of Korean middle managers' decision-making processes.

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