• 제목/요약/키워드: Non-decision Making

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시뮬레이션기반 실습교육이 간호대학생의 고용가능성, 진로탐색행동 및 진로결정 자기효능감에 미치는 효과 (The Effect of Simulation-based Practice Education on Employability, Career Exploration Behavior and Decision-making Self-efficacy of the Nursing Students)

  • 정미현;서요한
    • 한국응용과학기술학회지
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    • 제36권3호
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    • pp.709-725
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    • 2019
  • 본 연구의 목적은 시뮬레이션기반 실습교육이 간호대학생들의 고용가능성, 진로탐색행동 및 진로결정 자기효능감에 미치는 효과를 확인하고자 시도되었다. 비동등성 대조군 전후설계를 적용한 유사실험설계로 J지역 소재 3학년 학생을 편의표집하여 총 120명의 간호대학생들로, 실험군 60명, 대조군 60명이 연구에 참여하였다. 실험군은 6주간 실험에 참여하였다. 연구결과, 시뮬레이션기반 실습교육은 간호대학생의 고용가능성(t=-2.31, p=.023), 진로탐색행동(t=-3.05, p=.003)을 유의하게 증가시켰으나, 진로결정 자기효능감(t=-.87, p=.387)은 통계적으로 유의한 차이가 없었다. 결론적으로 시뮬레이션기반 실습교육은 간호대학생들의 교육에 유용하므로 강화해야 할 것이다.

보완대체요법을 활용한 긍정심리프로그램이 간호대학생의 부정적 정서, 진로결정 자기효능감, 자기자비, 플로리시에 미치는 효과 (The effect of Positive psychology program using Complementary and Alternative Therapies on Negative emotions, Career decision making Self-Efficacy, Self-Compassion, and Flourish of Nursing students)

  • 박향진;장현정
    • 문화기술의 융합
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    • 제9권6호
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    • pp.615-625
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    • 2023
  • 본 연구는 보완대체요법을 활용한 긍정심리프로그램 중재를 통하여 간호대학생의 정신적, 사회 심리적 건강향상을 위하여 시도되었다. 보완대체요법을 활용한 긍정심리프로그램을 제공받은 간호대학생을 실험군으로 프로그램을제공받지 않은 간호대학생을 대조군으로 선정하여 간호대학생의 부정적 정서(우울, 불안, 스트레스), 진로결정 자기효능감, 자기자비, 플로리시에 미치는 효과를 검증하기 위한 비 동등성 대조군 전후 유사실험 설계를 적용한 연구이다. 수집된 자료는 SPSS Version 21.0 프로그램을 이용하여 분석하였다. 실험군은 교육에 참여하지 않은 대조군보다 진로결정 자기효능감, 자기자비, 플로리시 점수가 높았고, 부정적 정서 점수가 낮은 것으로 나타났다. 보완대체요법을 활용한 긍정심리프로그램을 적용한 후 진로결정 긍정적인 연구 효과를 보고함으로 보완대체요법을 활용한 간호중재영역 확대에 기여하였다.

취업희망분야와 의사결정 영향요인의 관계에 관한 연구 -식품영양 및 외식$\cdot$조리 전공자를 중심으로- (Investigation of Factors Influencing Career Decision-Making of Students in Foodservice Management and Culinary Arts Programs)

  • 이경은;김태희
    • 대한지역사회영양학회지
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    • 제10권3호
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    • pp.311-318
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    • 2005
  • The purposes of the study were to identify important attributes in foodservice management and culinary arts students' career decision-making and to investigate factors determining their preferred employment fields. A questionnaire that consisted of preferred employment fields, importance rating of 19 attributes related to job choices, and demographic information was developed based on a review of literature. A total of 319 students enrolled in food and nutrition, foodservice management, and culinary arts programs of eight 2-year colleges and 4-year universities in Seoul and Kyunggi Province participated in the survey. Data were analyzed using SPSS Win (version 10.0) with descriptive statistics, chi-square analysis, one-way analysis of variance, factor analysis, and discriminant analysis. Attributes of the highest importance scores included fringe benefits, wages and promotion opportunities, working environments, professional development opportunities, and organizational culturs. The students who preferred non-commercial foodservice as a career choice depended more on 'word-of-mouth from faculty' than those who preferred other fields (F=3.094, p < .05) and rated importance of 'participation in job fairs' higher than those who selected hotel food and beverage (F : 5.048, p < .01) . A factor analysis of the 19 attributes resulted in five factors: job/compensation policy, impersonal communication, company image, word-of-mouth, and personal experience. The five factors explained $67\%$ of the total variance. A discriminant analysis revealed that students who perceived 'impersonal communication' and 'word-of-mouth' more important were likely to prefer non-commercial foodservice as a career choice. The results would be used by university faculty in advising graduating students on career selection and by recruiters in developing effective and attractive recruiting programs.

선박 접이안의 퍼지학습제어 (On the Ship's Berthig Control by introducing the Fuzzy Neural Network)

  • 구자윤;이철영
    • 한국항해항만학회:학술대회논문집
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    • 한국항해항만학회 1994년도 춘계학술발표회
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    • pp.55-67
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    • 1994
  • Studies on the ship's automatic navigation & berthing control have been continued by way of solving the ship's mathematical model but the results of such studies have not reached to our satisfactory level due to its non-linear characteristics ar low speed. In this paper the authors propose a new berthing control system which can evaluate as closely as captain's decision-making by using the FNN(Fuzzy Neural Network) controller which can simulate captain's decision-making by using the FNN(Fuzzy neural Network) controller which can simulate captain's knowledge. This berthing controller consists of the navigation subsystem FNN controller and the berthing subsystem FNN controller. The learning data are drawn from Ship Handling Simulator (NavSim NMS90 MK III) and represent the ship motion characteristics internally According to learning procedure both FNN controllers can tune membership functions and identify fuzzy control rules automatically The verified results show the FNN controllers effective to incorporate captain's knowledge and experience of berthing.

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인공신경망과 퍼지규칙 추출을 이용한 상황적응적 전문가시스템 구축에 관한 연구 (A Study on the Self-Evolving Expert System using Neural Network and Fuzzy Rule Extraction)

  • 이건창;김진성
    • 한국지능시스템학회논문지
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    • 제11권3호
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    • pp.231-240
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    • 2001
  • Conventional expert systems has been criticized due to its lack of capability to adapt to the changing decision-making environments. In literature, many methods have been proposed to make expert systems more environment-adaptive by incorporating fuzzy logic and neural networks. The objective of this paper is to propose a new approach to building a self-evolving expert system inference mechanism by integrating fuzzy neural network and fuzzy rule extraction technique. The main recipe of our proposed approach is to fuzzify the training data, train them by a fuzzy neural network, extract a set of fuzzy rules from the trained network, organize a knowledge base, and refine the fuzzy rules by applying a pruning algorithm when the decision-making environments are detected to be changed significantly. To prove the validity, we tested our proposed self-evolving expert systems inference mechanism by using the bankruptcy data, and compared its results with the conventional neural network. Non-parametric statistical analysis of the experimental results showed that our proposed approach is valid significantly.

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DEA를 이용한 의사결정단위의 클러스터링 (Clustering of Decision Making Units using DEA)

  • 김경택
    • 산업경영시스템학회지
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    • 제37권4호
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    • pp.239-244
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    • 2014
  • The conventional clustering approaches are mostly based on minimizing total dissimilarity of input and output. However, the clustering approach may not be helpful in some cases of clustering decision making units (DMUs) with production feature converting multiple inputs into multiple outputs because it does not care converting functions. Data envelopment analysis (DEA) has been widely applied for efficiency estimation of such DMUs since it has non-parametric characteristics. We propose a new clustering method to identify groups of DMUs that are similar in terms of their input-output profiles. A real world example is given to explain the use and effectiveness of the proposed method. And we calculate similarity value between its result and the result of a conventional clustering method applied to the example. After the efficiency value was added to input of K-means algorithm, we calculate new similarity value and compare it with the previous one.

발주자 참여 확대를 위한 BIM 적용요소에 관한 연구 (Application of BIM Elements for Owner's Decision - Making Support)

  • 이경하;박재현;조성;조용;윤석현;백준홍
    • 한국건축시공학회:학술대회논문집
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    • 한국건축시공학회 2009년도 춘계 학술논문 발표대회 학계
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    • pp.185-188
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    • 2009
  • Recently clients requirements and social requirements are complex and large sized in construction projects. Futhermore, processes and steps are more complexed than before. Unsuitable reflection of clients brings mistaken opinions. A phase of middle change makes delay and change. It brings problems of waste expense and time. 80, first stage of planning and schematic design processes have to reflect of clients opinion actively. by increasing of constructions project competitiveness. Recently, BIM(Building Information Modeling is being researched frequently. Through visualization of information proceed step by step and it helps cognition of adapting information. 80, this paper finds and suggests solution of reflecting clients opinion and requirements and non professional clients and positively support of client participation watching based on BIM.

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Genome-Wide Association Study of Medication Adherence in Chronic Diseases in the Korean Population

  • Seo, Incheol;Suh, Seong-Il;Suh, Min-Ho;Baek, Won-Ki
    • Genomics & Informatics
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    • 제12권3호
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    • pp.121-126
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    • 2014
  • Medication adherence is generally defined as the extent of voluntary cooperation of a patient in taking medicine as prescribed. Adherence to long-term treatment with chronic disease is essential for reducing disease comorbidity and mortality. However, medication non-adherence in chronic disease averages 50%. This study was conducted a genome-wide association study to identify the genetic basis of medication adherence. A total of 235 medication non-adherents and 1,067 medication adherents with hypertension or diabetes were used from the Korean Association Resource project data according to the self-reported treatment status of each chronic disease, respectively. We identified four single nucleotide polymorphisms with suggestive genome-wide association. The most significant single nucleotide polymorphism was rs6978712 (chromosome 7, $p=4.87{\times}10^{-7}$), which is located proximal to the GCC1 gene, which was previously implicated in decision-making capability in drug abusers. Two suggestive single nucleotide polymorphisms were in strong linkage disequilibrium ($r^2$ > 0.8) with rs6978712. Thus, in the aspect of decision-making in adherence behavior, the association between medication adherence and three loci proximal to the GCC1 gene seems worthy of further research. However, to overcome a few limitations in this study, defining the standardized phenotype criteria for self-reported adherence should be performed before replicating association studies.

자료포락분석을 이용한 지역대학의 효율성분석 (Evaluating the Operational Efficiencies of Local Universities Using DEA Approach)

  • 최경호;안정용
    • 응용통계연구
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    • 제26권1호
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    • pp.49-58
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    • 2013
  • 자료포락분석(data envelopment analysis)은 여러 종류의 투입요소와 산출요소를 이용하여 의사결정단위(decision making unit)들 간의 상대적 효율성을 평가하기 위해 많이 사용되는 기법이다. 본 연구에서는 자료포락분석을 이용하여 지방대학들의 연구 및 교육분야에 대한 효율성을 분석한다. 먼저, 우리나라 국 공립 대학들의 효율성에 대해 살펴보고, 지역거점대학(regional flagship national universities)과 비거점(non-flagship)대학 간의 효율성이 통계적으로 유의한지 여부를 탐색한다.

정기선 해운서비스의 구매의사 결정에 관한 연구 - 정보탐색을 중심으로 - (An Empirical Study on the Shipper′s Decision Making Process of Liner Shipping Services : Primarily on the Information Search)

  • 이정관;신한원
    • 한국항해학회지
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    • 제24권1호
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    • pp.73-84
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    • 2000
  • Shipping industry continues to face dramatic changes in its environment ranging from development in containerization, computerization and telecommunications to the emergence of global marketplace. Perhaps the most significant trend - representing both a threat and opportunity - is the increasingly competitive nature of shipping service market. In order for the shipping companies to cope with those improvements and challenges, they should analyze and clarify customer's DM(decision making) process for the purchase of container shipping service. The major research findings from the study were found as follows; 1) The degree of shipper's involvement in purchasing shipping services was found to be a discriminating variable affecting the information sources consisting of personal and non-personal information sources. 2) The positive relationship was found between the experiences on shipping services and non-personal information sources. 3) It was observed that as people had more experience searching for information, the more in depth their searches became. 4) There existed a positive relationship between knowledges on shipping services and information search. 5) According to the SEM analysis, the shipper's information search on shipping services was also found to have a great influence on the shipper's purchasing behavior. The shipper's search was resulted in positive customer satisfaction.

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