• Title/Summary/Keyword: Decision-making modeling

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A Structural Analysis of Relations among Inner and Outer Career Barrier, Career Decision Making Self-Efficacy, Career Aspiration and Career Decision Status for College Student (대학생의 내·외적 진로장벽, 진로결정 자기효능감, 진로포부, 진로결정수준 간의 구조적 관계 분석)

  • Ko, Mi-Na;Park, Jae-Hwang
    • Journal of vocational education research
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    • v.30 no.4
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    • pp.259-279
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    • 2011
  • The purpose of this study was to analyze a structural relations which occur when college students' inner and outer career barrier impacts on career decision status through the mediating variables of career decision making self-efficacy and career aspiration. The data of 787 college students subjects were collected for the study. The measuring tools were Career Decision Status, Outer Career Barriers, Inner Career Barriers, Career Aspiration, and Career Decision Making Self-Efficacy. The collected data were analyzed with structural equation modeling(SEM). The findings of the study were as follows. Results showed that only inner career barriers affect career decision status through the mediating variables of career decision making self-efficacy and career aspiration among outer and inner career barriers anticipated to give negative impact on level of career decision making. Inner career barriers affect career decision making self-efficacy negatively, and career decision making self-efficacy gives positive impact on career aspiration, and career aspiration affects career decision status negatively. In other words, the more aware of inner career barriers, the lower career decision making self-efficacy.

Structural Modeling of an Authoritarian Parenting Style and Academic Achievement among College Students (대학생이 지각한 부모의 지배형 양육태도와 학업성취도의 구조적 관계)

  • Moon, Sunhee
    • Journal of Families and Better Life
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    • v.31 no.6
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    • pp.11-21
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    • 2013
  • The main purpose of this study is to explore the relationship between perceived the authoritarian parenting style and academic achievement among college students. Specifically, it is hypothesized that authoritarian parenting would indirectly affect the academic achievement of college students through self-differentiation level and career decision-making self-efficacy. 283 college students, after the consideration of their grade and gender, were selected for this study as participants. Methods describing the primary analytical technique of Structural Equation Modeling were used for the study. The results demonstrate that an authoritarian parenting style negatively affected the academic achievement of college students. There are mediation effects of self-differentiation and career decision-making self-efficacy between the perceived authoritarian parenting style and academic achievement among college students. The findings imply that the positive development of adult children requires more egalitarian parenting styles than those used on early adolescents. Next, for female students, specialized career counseling programs focusing on reducing psychological career barriers and career stress are needed. Lastly, it is implied that parenting styles used on adult children in Korea may differ from Western styles. Therefore, it may be difficult to explain the relationship between parents and adult children with a traditional theoretical framework.

GIS Decision Support Modeling for Storm Surge Management (해일방재를 위한 GIS Decision Support Modeling)

  • 김수정;김승용;염재홍
    • Proceedings of the Korean Society of Surveying, Geodesy, Photogrammetry, and Cartography Conference
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    • 2004.04a
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    • pp.435-440
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    • 2004
  • Most of our GIS implementation activities have been focussed on the management of urban information in local municipalities. Management of urban facilities has been the major issue of concern and has little role in providing the decision maker with alternatives from which one can analyse and choose the optimum solution. For this reason, the spatial decision support system is in need. Business analysis software is effectively used for site analysis of new stores, customer prospecting and other issues of decision making for business purposes, The same geoprocessing module of business analysis software would be useful if put to use for the management of disaster management especially for storm surge management. Application of the business analysis model for disaster management has been reviewed. Specially in case of storm surge, where quick response is crucial, the spatial decision support system will be most effective.

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An Expert System of Moulding Working for Air Intake Hose Products using 3-Dimensional Parametric Modeling Technique

  • Sang Bong Park
    • Korean Journal of Computational Design and Engineering
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    • v.3 no.3
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    • pp.168-176
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    • 1998
  • This paper deals with an application on the mould machining of air intake hose product by using 3-dimensional parametric modeling techniques. The detailed domain is the 3-dimensional product with similar shapes and different sizes which needs too much working time for preparation of modeling or machining due to making a trial and errors repeatedly. Decision making rules for selection of modeling order and technique, and for calculation of cutting conditions, and for determination of sequence and method concerning machining operations are required by interview of expert engineers in the field. The developed expert system of modeling and machining is programmed by using a user programming language under the CAD/CAM software of the Personal Designer. The developed system that aids a mould engineer who is working in the modeling and machining section which deal with air intake hose product provides strong and useful capabilities.

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Stock Selection Model in the Formation of an Optimal and Adaptable Portfolio in the Indonesian Capital Market

  • SETIADI, Hendri;ACHSANI, Noer Azam;MANURUNG, Adler Haymans;IRAWAN, Tony
    • The Journal of Asian Finance, Economics and Business
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    • v.9 no.9
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    • pp.351-360
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    • 2022
  • This study aims to determine the factors that can influence investors in selecting stocks in the Indonesian capital market to establish an optimal portfolio, and find phenomena that occurred during the COVID-19 pandemic so that buying interest / the number of investors increased in the Indonesian capital market. This study collection technique uses primary data obtained from the survey questionnaire and secondary data which is market data, stock price movement data sourced from the Indonesia Stock Exchange, Indonesian Central Securities Depository, and Bank Indonesia, as well as empirical literature on behavior finance, investment decision, and interest in buying stock. The method used in this research is the survey questionnaire analysis with the SEM (statistical approach). The results of the analysis using SEM show that investor behavior influences the stock-buying interest, investor behavior, and the stock-buying interest influences investor decision-making. However, risk management does not influence investor-decision making. This occurs when the investigator's psychological capacity produces more decision information by decreasing all potential biases, allowing the best stock selection model to be selected. When the investigator's psychological capacity creates more decision information by reducing biases, the optimum stock selection model can be chosen.

A Strategic Decision Making Framework - System Dynamics and Analytic Network Process Approach - (시스템 다이나믹스와 네트워크 분석과정을 이용한 전략적 의사결정모형)

  • Min Jae Hyeong;Lee Yeong Chan
    • Proceedings of the Korean Operations and Management Science Society Conference
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    • 2002.05a
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    • pp.804-808
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    • 2002
  • A strategic decision making needs a sound process modeling to find out the right path of organizational changes; however, dynamic feedback processes involved in a real world business, make it difficult to predict the outcomes of strategic decisions. In this paper, we present a conceptual framework to facilitate strategic decision making process for organizational changes. The framework, which employs the concepts of analytic network process (ANP) and system dynamics (SD), can be used to prioritize various projects under consideration and to make a long-term strategic plan in a constructive manner.

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Dynamic Decision Making using Social Context based on Ontology (상황 온톨로지를 이용한 동적 의사결정시스템)

  • Kim, Hyun-Woo;Sohn, M.-Ye;Lee, Hyun-Jung
    • Journal of Intelligence and Information Systems
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    • v.17 no.3
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    • pp.43-61
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    • 2011
  • In this research, we propose a dynamic decision making using social context based on ontology. Dynamic adaptation is adopted for the high qualified decision making, which is defined as creation of proper information using contexts depending on decision maker's state of affairs in ubiquitous computing environment. Thereby, the context for the dynamic adaptation is classified as a static, dynamic and social context. Static context contains personal explicit information like demographic data. Dynamic context like weather or traffic information is provided by external information service provider. Finally, social context implies much more implicit knowledge such as social relationship than the other two-type context, but it is not easy to extract any implied tacit knowledge as well as generalized rules from the information. So, it was not easy for the social context to apply into dynamic adaptation. In this light, we tried the social context into the dynamic adaptation to generate context-appropriate personalized information. It is necessary to build modeling methodology to adopt dynamic adaptation using the context. The proposed context modeling used ontology and cases which are best to represent tacit and unstructured knowledge such as social context. Case-based reasoning and constraint satisfaction problem is applied into the dynamic decision making system for the dynamic adaption. Case-based reasoning is used case to represent the context including social, dynamic and static and to extract personalized knowledge from the personalized case-base. Constraint satisfaction problem is used when the selected case through the case-based reasoning needs dynamic adaptation, since it is usual to adapt the selected case because context can be changed timely according to environment status. The case-base reasoning adopts problem context for effective representation of static, dynamic and social context, which use a case structure with index and solution and problem ontology of decision maker. The case is stored in case-base as a repository of a decision maker's personal experience and knowledge. The constraint satisfaction problem use solution ontology which is extracted from collective intelligence which is generalized from solutions of decision makers. The solution ontology is retrieved to find proper solution depending on the decision maker's context when it is necessary. At the same time, dynamic adaptation is applied to adapt the selected case using solution ontology. The decision making process is comprised of following steps. First, whenever the system aware new context, the system converses the context into problem context ontology with case structure. Any context is defined by a case with a formal knowledge representation structure. Thereby, social context as implicit knowledge is also represented a formal form like a case. In addition, for the context modeling, ontology is also adopted. Second, we select a proper case as a decision making solution from decision maker's personal case-base. We convince that the selected case should be the best case depending on context related to decision maker's current status as well as decision maker's requirements. However, it is possible to change the environment and context around the decision maker and it is necessary to adapt the selected case. Third, if the selected case is not available or the decision maker doesn't satisfy according to the newly arrived context, then constraint satisfaction problem and solution ontology is applied to derive new solution for the decision maker. The constraint satisfaction problem uses to the previously selected case to adopt and solution ontology. The verification of the proposed methodology is processed by searching a meeting place according to the decision maker's requirements and context, the extracted solution shows the satisfaction depending on meeting purpose.

Structural Equation Modeling on Career Decision-Making Self-Efficacy in High school Girl in the Creative Convergence Curriculum (창의융합 교육과정 여고생의 진로결정효능감 구조모형)

  • Song, MiSoon;Kim, Min-Suk
    • Journal of the Korea Convergence Society
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    • v.11 no.3
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    • pp.291-299
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    • 2020
  • Purpose: This study was to analyze a structural equation model of parents attitudes, family function, self-management, and career decision making self-efficacy in high school girls. Method: The high school girls was asked to complete a questionnaire, and 255 data units were analyzed with Structural Equation Modeling. Result: The hypothetical model fit indices for the model revealed a fit at a recommended level(χ2/df=2.84, GFI=0.91, SRMR=0.05, NFI=0.91, CFI=0.93, RMSEA=0.08), and 6 of the 9 paths were statistically significant explaining 48% of the variance. Conclusion: In order to improve the career decision making self-efficacy for high school girls, it is necessary to be able to develop and practice self-management through the improvement of home and family functions.

The Effects of Critical Thinking and Clinical Decision-Making on Ethical Dilemmas by Some Dental Hygienists (일부 치과위생사의비판적 사고경향과 임상적 의사결정이 윤리적 딜레마에 미치는 영향)

  • Kang, Hyun-Kyung
    • The Korean Journal of Health Service Management
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    • v.9 no.1
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    • pp.67-79
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    • 2015
  • The aim of this descriptive cross-sectional study was determine the effect of critical thinking and clinical decision-making on ethical dilemmas. A survey of dental hygienists residing in Busan and South Gyeongsang, Korea was conducted using convenience sampling between September and December, 2013. A total of 153 responses were used in the final analysis. Data analysis and structural equation modeling were performed with IBM SPSS Statistics(version 21.0) and AMOS(version 18.0) programs. A negative(-) correlation coefficient(-0.37) was observed between critical thinking and ethical dilemmas on statistical analysis, i.e., higher critical thinking led to less ethical dilemmas(p=0.024, CR=-2.264). The values from the structural equation model were ${\chi}^2=98.124$ df=66, GFI=0.919, AGFI=0.871, and RMSEA=0.057. This study proposed a theoretical model in which critical thinking, ethical values, and decision-making skills should be firmly established to effectively respond to specific situations, such as ethical dilemmas, and that greater tendencies for critical thinking led to less ethical dilemmas, thereby demonstrating a negative(-) correlation between the two parameters.