• 유통과학연구
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• 제22권2호
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• pp.71-82
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• 2024

Purpose: Despite significant research on decision-making, researchers struggle to comprehend the decision-making process. This paper aims to not only examine the relationship between problem-solving skills, cognitive competency, and decision-making but also develop measurement instruments for cognitive competency and problem-solving skills to better model decision-making. Research Design, Methodology and Approach: A cross-sectional study was conducted by surveying 292 university students in HCM City, Vietnam, via email sent randomly by Google Forms. This study identifies the conceptual framework and tests the hypotheses using a deductive approach. The SPSS program was used to evaluate the scales' reliability, and the SmartPLS program was used to assess the measurement and structural models. Results: The results show that the research model better modelled the relationship between problem-solving skills, cognitive competency, and decision-making. Although thinking ability has no direct impact on decision-making, both creativity and problem-solving skills have a positive impact on decision-making. The mediating role of problem-solving skills is also determined by the positive relationship between cognitive competency and decision-making. Conclusions: This study highlights decision-making efficiency through the cognitive process from low to high levels and provides for policymakers and managers to explain the decision-making process in a variety of sectors, such as distribution chains, marketing, and human resource distribution.

• 디지털융복합연구
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• 제19권9호
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• pp.75-81
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• 2021

본 연구의 목적은 기업에서 클라우드 컴퓨팅 서비스를 채택하기 전에 판단 해야하는 중요한 요인들에 대한 우선 순위를 도출하고 평가한다. 연구 방법으로 전문가들에 대한 의사결정 사항을 반영하기 위해서 AHP 분석기법을 활용하였다. AHP는 복잡한 의사결정 문제를 계층적으로 표현하고 그 계층의 항목 간의 쌍대비교(Pairwise comparison)를 통하여 최선의 대안을 도출해 내는 의사결정 기법이다. 기존의 통계적 의사결정 기법들과 비교해 의사결정과정이 체계적이며 간단하여 이해하기가 쉽다. 또한 분석과정에서 의사결정자의 일관성을 판단할 수 있는 지표를 제공하여 절차 또한 합리적이다. 본 연구의 분석 결과 중요도 우선순위 항목으로 보안성, 신뢰성, 경제성 순으로 나타났다. 보안성의 하위 항목요인 중 제1순위는 접근권한의 통제성, 2순위는 외부위협의 안전성으로 도출되었다. 연구 결과가 추후 실무에서 기준으로 활용될 수 있는 방안으로 활용되는데 이바지할 수 있으며, 향후 클라우드 컴퓨팅 서비스 채택을 한 기업의 만족도를 평가하여 비교·분석하는 연구를 진행할 필요가 있다.

• 한국정보시스템학회지:정보시스템연구
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• 제28권4호
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• pp.333-358
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• 2019

Purpose The study aims to develop a data-based decision model for private bankers when recommending hedge funds to their customers in financial institutions. Design/methodology/approach The independent variables are set in two groups. The independent variables of the first group are aggressive investors, active investors, and risk-neutral type investors. In the second group, variables considered by private bankers include customer propensity to invest, reliability, product subscription experience, professionalism, intimacy, and product understanding. A decision-making variable for a private banker is in recommending a first-rate general private fund composed of foreign and domestic FinTech products. These contain dependent variables that include target return rate(%), fund period (months), safeguard existence, underlying asset, and hedge fund name. Findings Based on the research results, there is a 94.4% accuracy in decision-making when the independent variables (customer rating, reliability, intimacy, product subscription experience, professionalism and product understanding) are used according to the following order of relevant dependent variables: step 1 on safeguard existence, step 2 on target return rate, step 3 on fund period, and step 4 on hedge fund name. Next, a 93.7% accuracy is expected when decision-making uses the following order of dependent variables: step 1 on safeguard existence, step 2 on target return rate, step 3 on underlying asset, and step 4 on fund period. In conclusion, a private banker conducts a decision making stage when recommending hedge funds to their customers. When examining a private banker's recommendations of hedge funds to a customer, independent variables influencing dependent variables are intimacy, product comprehension, and product subscription experience according to a categorical regression model and artificial neural network analysis model.

• 대한간호학회지
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• 제49권4호
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• pp.411-422
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• 2019

Purpose: The purpose of this study was to adapt, modify, and validate the Nursing Anxiety and Self-Confidence with Clinical Decision-Making Scale ($NASC-CDM^{(c)}$) for Korean nursing students. Methods: Participants were 183 nursing students with clinical practice experience in two nursing colleges. The construct validity and reliability of the final Korean version of the $NASC-CDM^{(c)}$ were examined using exploratory and confirmatory factor analyses and testing of internal consistency reliability. For adaptation and modification, the instrument was translated from English to Korean. Expert review and a cross-sectional survey were used to test the instrument's validity. Results: The Korean version of the $NASC-CDM^{(c)}$ (KNASC-CDM) was composed of 23 items divided into four dimensions: (i) Listening fully and using resources to gather information; (ii) Using information to see the big picture; (iii) Knowing and acting; and (iv) Seeking information from clinical instructors. The instrument explained 60.1% of the total variance for self-confidence and 63.1% of the variance for anxiety; Cronbach's ${\alpha}$ was .93 for self-confidence and .95 for anxiety. Conclusion: The KNASC-CDM can be used to identify anxiety and self-confidence in nursing students' clinical decision-making in Korea. However, further research should be done to test this instrument, as it is classified differently from the original $NASC-CDM^{(c)}$ version.

• Structural Engineering and Mechanics
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• 제25권3호
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• pp.275-289
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• 2007

In this paper a brief overview of methods to assess the reliability of mechanical systems and structures is presented. A selection of computational procedures, stochastic structural dynamics, stochastic fatigue crack growth and reliability based optimization are discussed. It is shown that reliability based methods may form the basis for a rational decision making.

• 한국조리학회지
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• 제14권4호
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• pp.257-268
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• 2008

The purpose of this study was to conduct factor analysis on Foodservice consumers' lifestyle patterns in dietary life, classify lifestyle patterns, and identify how lifestyle patterns influence the 5 stages of decision making process for purchase. Among 300 copies of the distributed questionnaire, 259 copies were collected for this study. It used a total of 283 copies as the effective samples for empirical analysis except 12 copies with false entries among them. For data analysis, it conducted frequency analysis, validity and reliability analysis, factor analysis, and multiple regression analysis using SPSS 12.0. As a result, Hypothesis 1 was significant while Hypothesis 2, 3, and 5 were partially significant. On the contrary, Hypothesis 4 was not significant. Therefore, lifestyle patterns had partially significant effects on decision making process for dining-out purchase. This study subdivided dining-out consumers' lifestyles which were limited to dietary life, and also subdivided decision making process for dining-out consumers' dining-out purchase into five stages. It is significant and very suggestive that this study identified what lifestyle patterns concretely had significant effects on the specific decision making stage. In the future, the researches on adolescent class and silver class should be executed continuously.

• 한국환경과학회지
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• 제32권8호
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• pp.585-593
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• 2023

This study promotes the understanding of landscape technicians by, assessing the professional qualification system that aligns with the needs of the 21st-century environment, distinct from the industrialization era, It, provides basic theoretical insights into the multi-dimensional connections between the motivation for a certificate and the career decision-making self-efficacy of individuals with a demand for the certificate in the structural aspect. The collected data underwent a comprehensive analysis involving frequency assessments, confirmatory factor analysis, descriptive statistics, reliability tests, and correlation analyses. The study found differences according to particpants' diverse sociodemographic characteristics including gender, place of residence, educational background, and occupation. The motivation for obtaining a certificate had significant positive effects on their career-decision-making self-efficacy, within the context of structural relations. The study findings on the relations between motivation for obtaining a certificate and career decision-making self-efficacy demonstrate that the direction and intensity of efforts to obtain a certificate can increase the career decision-making self-efficacy of people hoping to become landscape technicians.

• International Journal of Internet, Broadcasting and Communication
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• 제16권1호
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• pp.203-214
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• 2024

This study seeks to provide implications for domestic-related policies through exploratory analysis research to support AI-based policy decision-making. The following should be considered when establishing an AI-based decision-making model in Korea. First, we need to understand the impact that the use of AI will have on policy and the service sector. The positive and negative impacts of AI use need to be better understood, guided by a public value perspective, and take into account the existence of different levels of governance and interests across public policy and service sectors. Second, reliability is essential for implementing innovative AI systems. In most organizations today, comprehensive AI model frameworks to enable and operationalize trust, accountability, and transparency are often insufficient or absent, with limited access to effective guidance, key practices, or government regulations. Third, the AI system is accountable. The OECD AI Principles set out five value-based principles for responsible management of trustworthy AI: inclusive growth, sustainable development and wellbeing, human-centered values and fairness values and fairness, transparency and explainability, robustness, security and safety, and accountability. Based on this, we need to build an AI-based decision-making system in Korea, and efforts should be made to build a system that can support policies by reflecting this. The limiting factor of this study is that it is an exploratory study of existing research data, and we would like to suggest future research plans by collecting opinions from experts in related fields. The expected effect of this study is analytical research on artificial intelligence-based decision-making systems, which will contribute to policy establishment and research in related fields.

• 대한안전경영과학회지
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• 제6권3호
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• pp.249-273
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• 2004

Finding an optimal solution in MADN[(Multi-Attribute Decision-Making) problems is difficult, when the number of alternatives, or that of attributes is relatively large Most of the existing mathematical approaches arrive at a final solution on the basis of many unrealistic assumptions, without reflecting the decision-maker's preference structure exactly. In this paper we suggest a model that helps us find a group consensus without assessing these parameters in specific cardinal values. Therefore, This research provides a comprehensive Decision Making of the theory and methods applicable to the analysis of decisions that involve risk and multiple criteria attributes. after, The emphasis of the procedure will be on developments from the fields of decisions analysis and utility theory of Taguchi Method. This theoretical development will be illustrated through the discussion of several real-world application and a case study. When the multiple number of decision makers are involved in the decision making procedure, the problem of uncertainties invariably occurs, because of the different views between them. In this paper, New decision making model using Taguchi Method is applied to effectively model the multi-attribute-decision making(MADM) procedure in the uncertainties dominated two area(quantitative and qualitative factors), Quantitative factors evaluation is used Loss Function of Taguchi, qualitative factors evaluation is used 50 ratio by each specialist. thus it can be used for aiding of preferable alternative. as a result, We will be proved efficiency about New decision making model of applied Taguchi Method with Analytical presentation of all the expecting outcomes when a specific strategy or an alternative plan is selected under expecting future environment.

• 산업경영시스템학회지
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• 제30권2호
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• pp.89-98
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• 2007

In this paper the economic value of weather forecasts is valuated for profit-oriented enterprise decision-making situations. Value is estimated in terms of monetary profits (or benefits) resulted from the forecast user's decision under the specific payoff structure, which is represented by a profit/loss ratio model combined with a decision function and a value score (VS). The forecast user determines a business-related decision based on the probabilistic forecast, the user's subjective reliability of the forecasts, and the payoff structure specific to the user's business environment. The VS curve for a meteorological forecast is specified by a function of the various profit/loss ratios, providing the scaled economic value relative to the value of a perfect forecast. The proposed valuation method based on the profit/loss ratio model and the VS is adapted for hypothetical sets of forecasts and verified for site-specific probability of precipitation forecast of 12 hour and 24 hour-lead time, which is generated from Korea meteorological administration (KMA). The application results show that forecast information with shorter lead time can provide the decision-makers with great benefits and there are ranges of profit/loss ratios in which high subjective reliability of the given forecast is preferred.