• The Journal of Korean Academic Society of Nursing Education
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• v.22 no.3
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• pp.304-315
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• 2016

Purpose: The purpose of this study was to explore the relationships of critical thinking disposition (CT), nursing work environment (NWE), and clinical decision making ability among nurses. Methods: A cross-sectional, descriptive study design was conducted on 192 nurses who had worked for more than six months in five general hospitals. A self-reported questionnaire was used to collect data, which included demographics, CT, NWE, and clinical decision making ability. Results: The mean score of CT was 3.5. The highest score was on the objectivity of CT and the lowest on systematicity. The mean score of NWE was 2.3. The highest score was on the collegial nurse-physician relations of NWE and the lowest on the staffing and resource adequacy. The mean score of clinical decision making ability was 3.3. In hierarchical multiple regression, affecting factors on clinical decision making ability were CT and NWE. Conclusion: The findings showed that clinical decision making ability is associated with CT and NWE. To improve clinical decision making ability, it is important to improve CT. In addition, it should be considered to improve NWE where the nurses can make a decision with their job through critical thinking.

• Journal of the Korea Society of Computer and Information
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• v.22 no.9
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• pp.125-132
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• 2017

The purpose of this study was to examine the factors influencing career preparation behavior based on the perception of college students from the perspective of social cognitive career theory and to examine the effect of career barriers and career decision self - efficacy on career preparation behavior And career - decision self - efficacy. The results of the study are as follows. First, career barriers perceived by college students showed a significant positive correlation with career decision self - efficacy and career preparation behavior(-), and career decision efficacy showed a statistically significant correlation with career preparation behavior(+). Second, as a result of linear regression analysis to examine the effect of career barriers on career preparation behavior, lack of self - clarification, lack of job information, and lack of recognition of need were subordinate factors of career barriers. Third, as a result of linear regression analysis to examine the effect of career decision - making self - efficacy on career preparation behavior, goal setting and job information, which are sub - factors of career decision self - efficacy, were analyzed. Fourth, mediating effects of career decision self - efficacy on career barriers and career preparation behavior were analyzed by hierarchical regression analysis. The results of this study confirm that the level of career barrier, which is an important factor in career preparation behavior of college students, should be lowered and career decision self - efficacy should be increased.

• Asia pacific journal of information systems
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• v.7 no.1
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• pp.99-111
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• 1997

This paper presents an application of an artificial neural net to the implementation of decision class analysis (DCA), together with the generation of a decision model influence diagram. The diagram is well-known as a good tool for knowledge representation of complex decision problems. Generating influence diagram model is known to in practice require much time and effort, and the resulting model can be generally applicable to only a specific decision problem. In order to reduce the burden of modeling decision problems, the concept of DCA is introduced. DCA treats a set of decision problems having some degree of similarityz as a single unit. We propose a method utilizing a feedforward neural net with supervised learning rule to develop DCA based on influence diagram, which method consists of two phases: Phase l is to search for relevant chance and value nodes of an individual influence diagram from given decision and specific situations and Phase II elicits arcs among the nodes in the diagram. We also examine the results of neural net simulation with an example of a class of decision problems.

• Journal of Information Technology Applications and Management
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• v.11 no.1
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• pp.117-135
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• 2004

Since human decision making behavior is likely to follow nonlinear strategy, it is conjectured that the human decision making behavior can be modeled better by nonlinear models than by linear models. All that linear models can do is to approximate rather than model the decision behavior. This study attempts to test this conjecture by analyzing human decision making behavior and combining the results of the analysis with predictive performance of both linear models and nonlinear models. In this way, this study can examine the relationship between the predictive performance of models and the existence of valid nonlinear strategy in decision making behavior. This study finds that the existence of nonlinear strategy in decision making behavior is highly correlated with the validity of the decision (or the human experts). The second finding concerns the significant correlations between the model performance and the existence of valid nonlinear strategy which is detected by Lens Model. The third finding is that as stronger the valid nonlinear strategy becomes, the better nonlinear models predict significantly than linear models. The results of this study bring an important concept, validity of nonlinear strategy, to modeling human experts. The inclusion of the concept indicates that the prior analysis of human judgement may lead to the selection of proper modeling algorithm. In addition, lens Model Analysis is proved to be useful in examining the valid nonlinearity in human decision behavior.

• 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.

• 제어로봇시스템학회:학술대회논문집
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• 2000.10a
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• pp.493-493
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• 2000

Multi-valued decision making for transitional stochastic events was newly derived based on conditional probability of database. The two values (on-off) decision making method without transition had been proposed by one of the author in a previous work for a purpose of realizing human on-off decision making. The current method is an extension of the previous on-off decision making. By combining the conditional probability and the transitional probability, the closed form of the algorithm for the multi-valued transitional decision making was derived. The proposed multi-valued decision making was successfully applied to the determination of the five levels of the vigilance of a subject during the EEG recording; awake stage, drowsy stage and sleeping stages (stage 1, stage 2/3, REM (rapid eye movement)). The method for determining the vigilance level can be directly usable for the two purposes; selection of awake EEG segments for automatic EEG interpretation, and determination of sleep stages through sleep EEG. The proposed multi-valued decision making with a mathematical background of the probability can be applicable widely, in industries and in medical fields for purposes of the multi-valued decision making.

• Proceedings of the Korea Society for Energy Engineering kosee Conference
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• 1998.10a
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• pp.3-8
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• 1998

The present work proposes the potential fuzzy framework, based on fuzzy set theory, for supporting decision-making problems, especially, selection problems of a best design in the area of nuclear energy system. The framework proposed is composed of the hierarchical structure module, the assignment module, the fuzzification module, and the defuzzification module. In the structure module, the relationship among decision objectives, decision criteria, decision sub-criteria, and decision alternatives is hierarchically structured. In the assignment module, linguistic or rank scoring approach can be used to assign subjective and/or vague values to the decision analyst's judgment on decision variables. In the fuzzification module, fuzzy numbers are assigned to these values of decision variables. Using fuzzy arithmetic operations, for each alternative, fuzzy preference index as a fuzzy synthesis measure is obtained. In the defuzzification module, using one of methods ranking fuzzy numbers, these indices are defuzzified to overall utility values as a cardinality measure determining final scores. According these values, alternatives of interest are ranked and an optimal alternative is chosen. To illustrate the applicability of the framework proposed to selection problem, as a case example, the best option choice of four design options under five decision criteria for primary containment wall thickening around large penetrations in an advanced nuclear energy system is studied.

• Fashion & Textile Research Journal
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• v.19 no.1
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• pp.19-29
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• 2017

This study identified the purchase decision-making process of outdoor wear consumers and examined the hypothesis that consumer satisfaction mediates the relationship between purchase decision-making process and repurchase intention. Data were acquired from a survey and analyzed with descriptive, factor analysis, reliability analysis and multiple regression analysis. Respondents were 454 adults who have purchased outdoor wear. The results are as follows. First, the purchase decision-making processes of outdoor wear consumers consisted of a series of steps: need recognition & passive information search, active information search, evaluation of alternatives with practical attributes, evaluation of alternatives with unpractical attributes, purchase decision, and post-purchase evaluation. Second, four purchase decision-making processes (except for need recognition & passive information search and active information search) had significantly positive effects on consumer satisfaction. Third, the need recognition & passive information search, the evaluation of alternatives with unpractical attributes and post-purchase evaluation had significantly positive effects on repurchase intention. Lastly, the partial mediation of consumer satisfaction in the relationship between two purchase decision-making processes (evaluation of alternatives with unpractical attributes and post-purchase evaluation) and repurchase intention were indicated. This academic study will help to understand the purchase decision-making processes of outdoor wear and allow companies to obtain information (from the industrial aspect) about which process to invest in and how to manage the process.

• Journal of the Korean Home Economics Association
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• v.24 no.4
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• pp.163-177
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• 1986

The purpose of this study is to present basic data of clarifying the differences between employed and unemployed wives' family and comparing low classes with other classes for the more reasonable and successful home administration through investigating and analyzing decision-making patterns of the families of working women in the low income group. The questionnaires were distributed in September 1984 to 300 working women in the city of Seoul and Sung-Nam. Statistical methods such as frequency, percentage and the mean value were used for grasping general characteristics of the families and F-test, Pearson's Correlations were used for investigating the interrelation of the related variables. The results of this study were as follows; 1) Wife's participation indecision-making was increased while joint decision-making was decreased compared with those of unemployed wives' family and other classes. 2) Both of the degree of conjugal participation in decision-making and joint decision-making were influenced by wife's educational level, disparity in educations of couple, husbands' occupation, family income, wife's age. But duration of marriage affected only the degree of joint decision-making. Especially family income and husbands; occupations turned to be important variables in low income families. 3) In case of wife's satisfaction with her occupation, joint decision-making was well achieved or not according to certain decision items. Though wife and husband satisfied with their marriage, joint decision-making was not well performed in working wives' family with low income.

• Journal of the Korean Institute of Educational Facilities
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• v.27 no.2
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• pp.49-55
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• 2020

Recently, the role of community in public design has become important. However, the design process often places only emphasis on the 'agreement' of the community. As a result, the process was forced to collect opinions from the community only passively. Also, a process that only focuses on the formation of an agreement is likely to provoke confrontations and conflicts between those who support and oppose it. In the end, persuasion by the opposing residents is more important than decision-making by the whole community. Therefore, it has recently been paying attention to 'decision-making' that values a variety of things, not 'agreement formation'. Because various values of the community are valued and process is more important than result, 'decision-making' is different from 'agreement formation'. South Korea is also paying attention to public design, where community decision-making is central. Therefore, it is very necessary to develop a methodology that can support community decision making. In Jeju, the community's decision-making support methodology was devised for urban regeneration. The purpose of this study is to examine the characteristics of this methodology and to reveal its potential and challenge as a decision-supporting methodology.