• The Journal of the Korea Contents Association
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• v.16 no.8
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• pp.169-179
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• 2016

This study used three types of survey, an anxiety for practice, a career decision making self-efficacy, and a career decision level for students majoring in language rehabilitation in college in order to provide an effective guide for practice and career decision. By using 18.0 SPSS statistic package, the data has examined with Mann-Whitney test, Kruskal-Wallis test and Bonferroni test based on student's grade, academic record and practice duration. The result of study is as follows. First, based on grade, students showed significant differences on several subfactors of the anxiety for practice and the level of career decision-making. Second, based on an academic point and practice duration, there were significantly different in several subfactors of the anxiety for practice, the career decision-making self efficacy, the career decision level. Consequently grade, academic record and practice duration influenced student's conception for practice and career.

• 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.

• International Journal of Computer Science & Network Security
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• v.23 no.1
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• pp.25-32
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• 2023

Decision-making refers to identifying the best alternative among a set of alternatives. When a set of criteria are involved, the decision-making is called multi-criteria decision-making (MCDM). In some cases, the involved criteria may be prioritized by the human decision-maker, which determines the importance degree for each criterion; hence, the decision-making becomes prioritized multi-criteria decision-making. The essence of prioritized MCDM is raking the different alternatives concerning the criteria and selecting best one(s) from the ranked list. This paper introduces a generic multi-level algorithm for ranking multiple alternatives in prioritized MCDM problems. The proposed algorithm is implemented by a decision support system for selecting the most critical short-road requests presented to the transportation ministry in the Kingdom of Saudi Arabia. The ranking results show that the proposed ranking algorithm achieves a good balance between the importance degrees determined by the human decision maker and the score value of the alternatives concerning the different criteria.

• The Journal of Asian Finance, Economics and Business
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• v.7 no.11
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• pp.541-548
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• 2020

This study aimed to explain the factors that influenced an individual's decision to migrate. The method of analysis in this study was the estimation of the probit regression model with data from the Indonesian Family Life Survey (IFLS-5), which covered 30,000 individuals from 13 provinces in Indonesia. Data from IFLS-5 were longitudinal data, meaning that the study was looking for data consistently to get reliable data from respondents. The research variables to determine the individual's decision to migrate were education level, income level, employment status, marital status, land ownership status, health quality, gender, residence status, and poverty status. Individual decision to migrate as a dependent variable was placed as a dummy variable. The results showed that the level of education, income level, employment status, marital status, land ownership status, health quality, and poverty status significantly influenced an individual's decision to migrate. Meanwhile, gender and residence status did not significantly affect an individual's decision to migrate. This research recommends that it is necessary to pursue a policy of economic equality between regions because economic factors are the main trigger for an individual's decision to migrate. Policies to overcome economic disparities among regions will reduce the individual's decision to migrate.

• Journal of Korean Society for Quality Management
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• v.46 no.4
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• pp.1029-1042
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• 2018

Purpose: The purpose of this study is to explore the health care decision making of Ethiopian women at household level. Moreover it is to understand the factors that influence to potential customers in healthcare industry from the social quality level perspective. Methods: We used Ethiopia Demographic Health Survey (EDHS) 2005 & 2016, which provided data about currently married women aged 15-49 years (N=2003, N=2017, respectively). We performed a chi-square test, and a Pearson correlation and a logistic regression. Andersen model is considered as well. Results: This study revealed that the mobility decision making has an association with health care decision making of women. Furthermore, there is a moderate effect of an economic decision making of women. Lastly, the women's decision making empowerment level increase year by year. Conclusion: Health care industry has to consider potential costumers among women like in Ethiopia, whose decision making empowerment will enhance on their own healthcare in future. It is very important to figure out factors from the social quality management domain. It helps finding a new market from downstream approach. From this point, the impact of decision making of women empowerment has a significant implication from the holistic perspective.

• Journal of the Korean Society of Clothing and Textiles
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• v.34 no.11
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• pp.1870-1879
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• 2010

This study aimed at examining the career decision level of Clothing and Textile major college students in Seoul area. With the increasing rates of youth unemployment, preparing college students for their future career and guiding them in making career decision is imperative. Students' satisfaction with their major and motivation orientation were considered as influencing factors, as well as their demographic characteristics. A survey was conducted to 282 students majoring Clothing and Textiles at seven universities and 277 completed questionnaires were used for analysis. The questionnaire measured respondents' major satisfaction, motivational orientation, career decision level, and demographics (gender, age, school and department names, class standing, expected graduation date, subjective social status, and GPA). Descriptive statistics, K-means cluster analysis, one-way analysis of variance followed by Duncan multiple comparisons were conducted. The results indicated that Clothing and Textiles majors were overall satisfied with their major, but the satisfaction level was higher for female than male students. Those who were satisfied with their major were less likely to feel anxious about career decision-making. The High-Motivation group and the Intrinsic-Motivation group showed lower anxiety over career decision-making compared to Low-Motivation and Extrinsic-Motivation groups. This study has implications for college advisors in that it provides basic information on students' career decision level and the influencing factors.

• Journal of Families and Better Life
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• v.23 no.5 s.77
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• pp.1-14
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• 2005

The purpose of this study is to examine the relationship between parental support and senior high school students' career development. For this study, the data was gathered from 1,468 students in 15 classes(different divisions) at 9 high schools (3 Academic high schools, 3 Industrial technology schools, 3 Vocational high schools) in Seoul. The results of the study were as follows: 1. There is significant difference, statistically, in the relation between parental support and career development by gender. 2. As for the division factor, the recognition level of parental supports was higher in girls than in boys and the average of their career development level was also higher. 3. As for the division factor, the recognition level of parental supports was most highest in academic high school students than in other groups and the average of their career development level was also the highest. 4. There were significant correlations between the parental supports and career decision-making self-efficacy, vacational identity, career decision. 5 As for the effects of parental support on the student's career development, career decision-making self-efficacy was higher than other vacational identity, career decision.. The $R^2$ value was weak but still statistically significant.

• Journal of Environmental Impact Assessment
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• v.18 no.6
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• pp.367-376
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• 2009

This paper proposes an application methodology of AHP(Analytic Hierarchy Process) based decision making theory for improvement priority by assessment of various risk factors affecting on deterioration of water supply systems, as major social infrastructure. AHP method is organized with three level of hierarchy which is introduced for multi-criteria decision making in this study. In the first level, assessment outputs are calculated by AHP for each affecting factor. In the second level, criteria are estimated by using assessment results with respect to structural and environmental factors. Consequently, ranking decision is performed in the third level. In order to present the effectiveness, a proposed method is compared with FCP(Fuzzy Composite Programming) for decision making. Since the results of the proposed method show better performance with consistent results, it can be applied as an efficient information for the determination for improvement priority of the study infrastructure.

• Journal of applied mathematics & informatics
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• v.42 no.2
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• pp.257-281
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• 2024

In real life, a decision-maker can assign multiple values for pairwise comparison with a certain confidence level. Studies incorporating multi-choice parameters in multi-criteria decision-making methods are lacking in the literature. So, In this work, an extension of the Best-Worst Method (BWM) with multi-choice pairwise comparisons and multi-choice confidence parameters has been proposed. This work incorporates an extension to the original BWM with multi-choice uncertainty and confidence level. The BWM presumes the Decision-Maker to be fully confident about preference criteria vectors best to others & others to worst. In the proposed work, we consider uncertainty by giving decision-makers freedom to have multiple choices for preference comparison and having a corresponding confidence degree for each choice. This adds one more parameter corresponding to the degree of confidence of each choice to the already existing MCDM, i.e. multi-choice BWM and yields acceptable results similar to other studies. Also, the consistency ratio remained low within the acceptable range. Two real-life case studies are presented to validate our study on proposed models.

• International Journal of Fuzzy Logic and Intelligent Systems
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• v.14 no.4
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• pp.332-339
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• 2014

Face classification has wide applications in security and surveillance. However, this technique presents various challenges caused by pose, illumination, and expression changes. Face recognition with long-distance images involves additional challenges, owing to focusing problems and motion blurring. Multiple frames under varying spatial or temporal settings can acquire additional information, which can be used to achieve improved classification performance. This study investigates the effectiveness of multi-frame decision-level fusion with photon-counting linear discriminant analysis. Multiple frames generate multiple scores for each class. The fusion process comprises three stages: score normalization, score validation, and score combination. Candidate scores are selected during the score validation process, after the scores are normalized. The score validation process removes bad scores that can degrade the final output. The selected candidate scores are combined using one of the following fusion rules: maximum, averaging, and majority voting. Degraded facial images are employed to demonstrate the robustness of multi-frame decision-level fusion in harsh environments. Out-of-focus and motion blurring point-spread functions are applied to the test images, to simulate long-distance acquisition. Experimental results with three facial data sets indicate the efficiency of the proposed decision-level fusion scheme.