• Journal of Korean Academy of Nursing
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• v.50 no.2
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• pp.191-199
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• 2020

Purpose: The purpose of this study was to compare sociodemographic characteristics of a normal cognitive group and mild cognitive impairment group, and establish prediction models of Mild Cognitive Impairment (MCI). Methods: This study was a secondary data analysis research using data from "the 4th Korea Longitudinal Study of Ageing" of the Korea Employment Information Service. A total of 6,405 individuals, including 1,329 individuals with MCI and 5,076 individuals with normal cognitive abilities, were part of the study. Based on the panel survey items, the research used 28 variables. The methods of analysis included a χ²-test, logistic regression analysis, decision tree analysis, predicted error rate, and an ROC curve calculated using SPSS 23.0 and SAS 13.2. Results: In the MCI group, the mean age was 71.4 and 65.8% of the participants was women. There were statistically significant differences in gender, age, and education in both groups. Predictors of MCI determined by using a logistic regression analysis were gender, age, education, instrumental activity of daily living (IADL), perceived health status, participation group, cultural activities, and life satisfaction. Decision tree analysis of predictors of MCI identified education, age, life satisfaction, and IADL as predictors. Conclusion: The accuracy of logistic regression model for MCI is slightly higher than that of decision tree model. The implementation of the prediction model for MCI established in this study may be utilized to identify middle-aged and elderly people with risks of MCI. Therefore, this study may contribute to the prevention and reduction of dementia.

• Journal of the Korean Applied Science and Technology
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• v.36 no.3
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• pp.709-725
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• 2019

This study aimed to determine the effects of simulation-based practice education on nursing students' employability, career exploration behavior and decision-making self-efficacy. A non-equivalent control group pre-posttest of quasi-experimental design was used. A total of 120 nursing students located in J provinces, 60 students for the experimental group and 60 students for the control group. Study participants were a third-year student at college of nursing student. The experimental group participated in the study for 6 weeks. The results showed that the simulation-based practice education significantly improved employability(t=-2.31, p=.023) and career exploration behavior(t=-3.05, p=.003) of nursing students. However, there was no significant difference in the decision-making self-efficacy(t=-.87, p=.387). In conclusion, simulation-based practice education should be strengthened because it is useful for education of nursing students.

• Proceedings of the Korea Inteligent Information System Society Conference
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• 1999.10a
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• pp.111-120
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• 1999

Although the concept of viewing knowledge as a critical resource has been widely accepted in prior studies, it is not fully understood how to acquire available knowledge in order to improve organizational effectiveness. However, it si sure that organizational knowledge management should pursuit the achievement of the business goal by delivering relevant and useful information to the right person at the right time. Group Support System (GSS) can play an important role to transfer scatter information into meaningful business knowledge for supporting strategic corporate decision-making. This study proposes a fuzzy GSS framework for acquiring workgroup knowledge from individual memory and aggregating workgroup knowledge to organizational knowledge. This study also proposes an architecture to support the fuzzy GSS framework. The architecture consists of user agents, information management agents, and a fuzzy model manager. To illustrate how the fuzzy GSS framework can be used to support the whole process of organization knowledge acquisition, an Internet-based GSS was developed and applied in a marketing decision process. It showed that the framework was effective for acquiring organizational knowledge.

• Asia pacific journal of information systems
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• v.6 no.2
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• pp.5-17
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• 1996

There are various cases that we vote for making a decision or combining ideas (i.e. human being's opinions) in group meetings. Group Decision Support System(GDSS) provides us with a number of voting methods for decision making or aggregation of the ideas. It is generally difficult to select a voting method appropriate for given a meeting situation, without any aid of experts or computers having a knowledge on voting. In this paper we propose a supporting system for selecting an appropriate voting method. Since the selected method is recommended to the facilitator of GDSS, a part of time and effort related with the voting would be reduced. The knowledge in the system is represented as rules that are inductively generated from examples of voting. We used UNiK-INDUCE with ID3 algorithm so as to learn, which is a tool of developing expert systems.

• Journal of Information Technology Applications and Management
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• v.22 no.2
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• pp.113-122
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• 2015

Collective intelligence can be an influential factor of decision-making based on collaboration and information exchange between individuals. Our study explores whether collective intelligence can mitigate the loss aversion effect, bias and error in human judgment, and collective intelligence in online communities can reduce the loss aversion effect. Our community settings display both individual-level and group-level loss aversion effect, investigate effective collective intelligence characteristics like investment commitment, participant experience. Using a multi-method approach our research comprises a web-based experiment with 100 participants investing 3 situations from a real-world community, data from a survey measuring loss aversion behavior of participants. The results suggest the loss aversion effect mitigates under the online-circumstance. Overall, our results suggest that, while collective intelligence mitigates the loss aversion effect, participants do not transfer these results to other settings.

• Journal of Distribution Science
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• v.18 no.7
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• pp.73-81
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• 2020

Purpose: This research examines the factors that influence organic food purchasing decisions of kindergartens in Ho Chi Minh City, Vietnam. Research Design, Data, and Methodology: A mixed-method research was utilized in this study. It included a focus group of 10 participants and a survey of 304 respondents, (quantitative research) who are employed in the selected kindergartens, using both online and paper surveys based on nonprobability and convenient sampling. The SPSS and SmartPLS 3 software were used to analyze data. Results: a) Eight factors affect the purchase decision of kindergartens; b) Environment Attention, Normative Beliefs, Trust belief on brand, Cost of meal set, and Reference group positively affect Intention behavior; c) Feeling safe positively affect Perceived Quality Product. Perceived quality of product and Intention behavior positively affect organic food Purchase Decision of kindergartens. Conclusion: Eight factors affect organic food purchasing decisions of kindergartens in Ho Chi Minh City. This study offers recommendation and solutions for a stable output of organic products in Vietnam, and ways to popularize them within the community.

• Journal of Fisheries and Marine Sciences Education
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• v.27 no.4
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• pp.1041-1052
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• 2015

The purpose of this study was to analyze group differences of Commitment to career choice and Career stress coping strategy by the Career decision and Career preparation behavior for College Students. Through the results of this study we wanted to look for discriminatory implications for the counseling intervention. The data of 720 college students were collected for the study. The distinction of four types was revealed by the results from Crosstabs and One-way ANOVA. The frequency of upper grades indicated ideal type. But the immature type was fourth grade. There were significant differences in accordance with the two-dimensional typology of Commitment to career choice and Career stress coping strategy by One-way ANOVA. Discussion focused on effective intervention strategies in career counseling based on group differences by the Career decision and Career Preparation Behavior.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.46 no.3
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• pp.109-122
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• 2023

As platforms become primary decision making tools, platforms for decision have been introduced to improve quality of decision results. Because, decision platforms applied augmented decision-making process which uses experiences and feedback of users. This process creates a variety of alternatives tailored for users' abilities and characteristics. However, platform users choose alternatives before considering significant quality factors based on securing decision quality. In real world, platform managers use an algorithm that distorts appropriate alternatives for their commercial benefits. For improving quality of decision-making, preceding researches approach trying to increase rational decision -making ability based on experiences and feedback. In order to overcome bounded rationality, users interact with the machine to approach the optional situation. Differentiated from previous studies, our study focused more on characteristics of users while they use decision platforms. This study investigated the impact of quality factors on decision-making using platforms, the dimensions of systematic factors and user characteristics. Systematic factors such as platform reliability, data quality, and user characteristics such as user abilities and biases were selected, and measuring variables which trust, satisfaction, and loyalty of decision platforms were selected. Based on these quality factors, a structural equation research model was created. A survey was conducted with 391 participants using a 7-point Likert scale. The hypothesis that quality factors affect trust was proved to be valid through path analysis of the structural equation model. The key findings indicate that platform reliability, data quality, user abilities, and biases affect the trust, satisfaction and loyalty. Among the quality factors, group bias of users affects significantly trust of decision platforms. We suggest that quality factors of decision platform consist of experience-based and feedback-based decision-making with the platform's network effect. Through this study, the theories of decision-making are empirically tested and the academic scope of platform-based decision-making has been further developed.

• International conference on construction engineering and project management
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• 2009.05a
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• pp.1117-1123
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• 2009

Compared with other industries, the construction Industry has many parties(A/E/C) as well as many types of construction activities. Especially, as for the remodeling project, the owner group the remodeling union consists of various stakeholders union and requiring the additional activities of demolition except for the existing new building construction project. Like this, the remodeling project has its own characteristics different from a new building construction project. As for the remodeling project, the Owner's decision making for a remodeling alternative has to be preceded, and other parties are required to propose a remodeling alternative which satisfies the Owner's requirements. However, because of time constraints, many types of problems occur during the decision-making process. In consideration of this, in this research, the authors would like to suggest a decision-making support system to help the Owner's decision-making in the early stage of a remodeling project. For this paper purpose of a remodeling decision-making framework based on Building Information Modeling(BIM) was suggested to help with the Owner's decision-making for each remodeling item and the decision-making support system was evaluated through Case Study.

• Knowledge Management Research
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• v.22 no.2
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• pp.189-208
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• 2021

The purpose of this study was to identify the effect of education service quality (quality of professor service, quality of curriculum service) on career decision-making, self-efficacy, career decision level, and career preparation behavior. Appropriate measures were developed and tested on 426 respondents of Gyeongnam province in South Korea with a cross-sectional questionnaire survey. To ensure the reliability and validity of the questionnaire, frequency analysis, reliability analysis, and validity analysis were conducted. To ensure the reliability and validity of the measurement model, the CFA(confirmatory factor anlaysis) were conducted. The SEM(structural equation modeling) analysis was undertaken to perform the path analysis among the variables and to assess the suitability of the model. MCFA(multi group CFA) and MSEM(multi group SEM) were performed to confirm the moderation effect. Results of the study are summarized as follows: Firstly, education service quality has positive effects on career decision-making self-efficacy. Second, career decision-making self-efficacy has positive effects on career decision level and career reparation behavior. Third, career decision level has positive effects on career reparation behavior. Finally, it was found there exists a moderating effect of freshman/registered student between education service quality, career decision-making self-efficacy, career decision level, career preparation behavior. As a result of this study, it is suggested that investigation of extraneous variables which help to improve career preparation behavior and career decision level as for career of university student will contribute to university education.