• Health Policy and Management
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• v.19 no.3
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• pp.166-182
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• 2009

Objectives : This study was undertaken to investigate the relationship between career decision-making self-efficacy, social support, career education experience, career attitude maturity for college students with major in health administration. Methods : The subjects were 395 students with major in health administration from 2 universities and 2 colleges located in Incheon city, Gyeonggi province, and Chungcheognam province. Data were collected from June 2 to 20, 2008 using structured questionnaires. Results : For the difference by characteristics of the respondents, the score of career attitude maturity were significantly different according to age(F=3.415), high school style(F=2.661), subject economic status(F=3.627), subject satisfaction of school life(F=7.964), subject health status(F=6.507). For the correlation of major variable, Career attitude maturity was positively correlated with career decision-making self-efficacy, social support from friends, social support from family, social support from professor, career education experience. In a regression analysis, career decision-making self-efficacy($\beta$=.378), social support from friends($\beta$=.198), age($\beta$=.124), grade($\beta$=-.161) significant predictors to explain career attitude maturity(32%). Conclusions : It is necessary to activates the social network from friends and to develop an effective program to improve career attitude maturity of students with major in health administration considering these findings.

• Journal of Digital Convergence
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• v.18 no.2
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• pp.489-498
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• 2020

The purpose of the study is to investigate the impact on mental health of university students from job-seeking stress, career decision-making, and social support. 429 university students from the three universities in J province were instructed to answer structured questionnaires, and the data was analyzed by t-test, ANOVA, Pearson Correlation, and Regression analysis using SPSS 24.0 software. The results reveal that job-seeking stress shows positive correlation to mental health, whereas career decision-making and social support show statistically significant negative correlations. The results also show that the factors that affect mental health are job-seeking stress and social support with Exploratory power of 48.9%. It is necessary to develop and apply measures that consider impact factors such as job-seeking stress to improve mental health of university students. It is also important to establish and maintain a support system for mental health.

• Journal of Korean Academy of Fundamentals of Nursing
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• v.17 no.2
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• pp.274-281
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• 2010

Purpose: The purpose of this study was to identify the correlation between level of professional autonomy and clinical decision making abilities in clinical nurses, and to provide basic information for promoting competency nurses in making independent decisions. Method: Data were collected from July 1 to July 18, 2008, and participants were 202 clinical nurses in general hospitals. Collected data were analyzed using descriptive statistics: frequency and percentage and Pearson correlation coefficients with the SPSS WIN 14.0 program. Results: The professional autonomy index for the nurses was 159.63 points. The clinical decision making ability index was 119.79 points. The most highly ranked factor in clinical decision making was search for information and unbiased assimilation of new information. There was a statistically significant difference in professional autonomy according to age, clinical experience, and type of duty. Relation between level of professional autonomy and clinical decision making showed a positive correlation. Conclusion: As a results show a significant correlation between professional autonomy and clinical decision making in clinical nurses, improvement in professional autonomy of clinical nurses, would be promoted through continuous support and training.

• Journal of Smart Tourism
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• v.1 no.4
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• pp.3-7
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• 2021

Although Geographic Information Systems (GISs) have commonly been employed as powerful tools for manipulating and displaying spatial data in community-based tourism, a variety of GIS functions still lack the capabilities required to assist multiple decision makers to come to consensual decisions. In this study, I propose an alternative approach: spatial multicriteria decision analysis (SMCDA) that could reflect diverse decision makers' preferences by integrating GISs and multicriteria decision analysis (MCDA). I review the small number of case studies that have employed SMCDA, with a focus on the roles of GISs and MCDA. The methodological integration of GISs and MCDA into multi-spatial decision support systems offers the potential to implement participatory decision-making to solve complex spatial problems in community-based tourism planning, development, and management.

• Journal of the Korea Safety Management & Science
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• v.7 no.4
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• pp.165-177
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• 2005

Supply Chain Management(SCM) system is a critical investment that can affect future competitiveness and performance of a company. Selection of a right SCM system is one of the critical issues. This paper provides the characteristic factors of SCM system selection and the SCM system evaluation and selection model based on Analytic Hierarchy Process(AHP). The proposed model can systematically construct the objectives of SCM system selection to support the business goals. A empirical example demonstrates the feasibility of the proposed model and the model can help a company to make better decision-making in selecting SCM system.

• Journal of the Korean Society for Library and Information Science
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• v.20
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• pp.163-222
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• 1991

This dissertation are studying the conceptual structure of decision making situation in libraries, by analyzing the library function, decision makings of library and then seeking economic and efficient alternative decision making by programming the· decision making situations, and finally, introducing how to apply management information system or decision making support system. For this purpose, in order to analyzing necessary factors for the decision making system, the questionnaire used Lickert method were distributed to 400 librarians of 36 universities in Seoul by means of mail. 193 librarians, $48\%$ of the questionnaire, are returned are studied by using 'SYSTAT' statistical software to figure out the factors of the decision making system. This dissertation was put six hypotheses and tested with the returned questionnaire. The following five result can be asserted. First, to the higher degree of the librarians' participation in the important library decision makings, the quality of formal library services are improved regardless of seniority of the work. Secondly, the t-test results show that all of t-test scores of seniority of the work, educational background, and responsibilities of the work are exceeding significant level and perception of decision making was proved to be different depending on seniority of the work, educational background, and responsibilities of the work in libraries. Thirdly, as the results of factor af factor analysis, the encouragement on participation in the library academic activities, the extent to get useful information about performances of library and the improvements of library works were grouped by similar posibilities of distribution and therfore the academic activities, the collection of information and the improvement of library performances is proved to be interrelational each other. Fourthly, the fifth hypothesis of the close relationship between the decision making situation and types of advisor by it was more or less interrelational, but their relationship was not seen some significancies. Lastly, as the dynamic organization of library management forming a special commitee or a project team with librarian can improve the extent and quality of the librarian's participation in the decision making of library works, and thus library will become to performance more rational and effective library management.

• Perspectives in Nursing Science
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• v.12 no.1
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• pp.42-49
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• 2015

Purpose: The purpose of this study was to investigate nursing students' awareness of career decision-making self-efficacy, career search behavior and commitment to career choice. Methods: Data were collected using a self-report questionnaire from 397 nursing students in D city from October 1 to October 8, 2014. Results: The average score of career decision-making self-efficacy, career search behavior and commitment to career choice was 3.42, 3.08 and 3.27 on a Likert 5 point-scale respectively. Career decision-making self-efficacy and career search behavior were significantly different according to grade of subject. There were positive correlations between career decision-making self-efficacy, career search behavior and commitment to career choice. Conclusion: It is necessary to develop an effective career support program from 1st grade to improve nursing student's career decision-making self-efficacy, career search behavior and commitment to career choice.

• Journal of Information Technology Services
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• v.13 no.2
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• pp.133-149
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• 2014

It is unavoidable to provide products that meet customers' needs and wants so that firms may survive under the competition in this globalized market. This paper focuses on how to provide levels for attributes that compse product so that firms may give the best products to customers. In particular, its main issue is how to determine common attributes and the others with their appropriate levels to maximize firms' profits, and how to construct a decision support system to ease decision makers' decisons about optimal common attribute selection using the Semantic Web and SWCL technologies. Parameter data in problems and the relationships in the data are expressed in an ontology data model and a set of constraints by using the Semantic Web and SWCL technologies. They generate a quantitative decision making model through the automatic process in the proposed system, which is fed into the solver using the Logic-based Benders Decomposition method to obtain an optimal solution. The system finally provides the generated solution to the decision makers. This presentation suggests the opportunity of the integration of the proposed system with the broader structured data network and other decision making tools because of the easy data shareness, the standardized data structure and the ease of machine processing in the Semantic Web technology.

• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 2015.07a
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• pp.310-311
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• 2015

Ships' tracking data are being monitored and collected by vessel traffic service center in real time. In this paper, we intend to contribute to vessel traffic service operators' decision making through extracting ships' tracking patterns and models based on these data. Support Vector Machine algorithm was used for vessel track modeling to handle and process the data sets and k-fold cross validation was used to select the proper parameters. Proposed data processing methods could support vessel traffic service operators' decision making on case of anomaly detection, calculation ships' dead reckoning positions and etc.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.17 no.3
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• pp.775-793
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• 2023

Human decision-making is a complex behavior. A replication of human decision making offers a potential to enhance the capacity of intelligent systems by providing additional user assistance in decision making. By reducing the effort and task complexity on behalf of the user, such replication would improve the overall user experience, and affect the degree of intelligence exhibited by the system. This paper explores individuals' decision-making processes when using recommender systems, and its related outcomes. In this study, human decision-making (HDM) refers to the selection of an item from a given set of options that are shown as recommendations to a user. The goal of our study was to identify IS constructs that contribute towards such decision-making, thereby contributing towards creating a mental model of HDM. This was achieved through recording Electroencephalographic (EEG) readings of subjects while they performed a decision-making activity. Readings from 16 righthanded healthy avid readers reflect that reward, theory of mind, risk, calculation, task intention, emotion, sense of touch, ambiguity and decision making are the primary constructs that users employ while deciding from a given set of recommendations in an online bookstore. In all 10 distinct brain areas were identified. These brain areas that lead to their respective constructs were found to be cingulate gyrus, precentral gyrus, inferior parietal lobule, posterior cingulate, medial frontal gyrus, anterior cingulate, postcentral gyrus, superior frontal gyrus, inferior frontal gyrus, and middle frontal gyrus (also referred to as dorsolateral prefrontal gyrus (DLPFC)). The identified constructs would help in developing a design theory for enhancing user assistance, especially in the context of recommender systems.