• Journal of Family Resource Management and Policy Review
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• v.5 no.1
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• pp.97-110
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• 2001

This study was designed to examine the effect of joint participation in decision-making on the home management satisfaction of new-generation married women, which will issue basic data for improving the quality of new-generation home life. The sample was composed of 371 married women under 39years old, selected by age and the local distribution. Major findings are as follows. 1) New-generation married women’s joint participation in decision-making showed a significant difference by degree of communication, perception of the adequacy of resources, perception of the level of living. Home management satisfaction shoed a significant difference by state of employment, existence of children, sex role attitudes, degree of communication, perception of the adequacy of resources, perception of the level of living. 2) The more a couple participated in decision-making about eating and children, the higher level a new-generation married women showed in home management satisfaction. 3) The main variables predicating new-generation married women’s home management satisfaction was perception of the adequacy of resources, perception of the level of living, gender role attitudes, existence of children, joint participation in decision-making about eating and children. They accounted for 36% of the variance.

• Journal of Electrical Engineering and Technology
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• v.1 no.4
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• pp.414-422
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• 2006

Deterministic techniques have been applied in power system planning for many years and there is a growing interest in combining these techniques with probabilistic considerations to assess the increased system stress due to the restructured electricity environment. The overall reliability framework proposed in this paper incorporates the deterministic N-1 criterion in a probabilistic framework, and results in the joint inclusion of both adequacy and security considerations in system planning. The combined framework is achieved using system well-being analysis and traditional adequacy assessment. System well-being analysis is used to quantify the degree of N-1 security and N-1 insecurity in terms of probabilities and frequencies. Traditional adequacy assessment is Incorporated to quantify the magnitude of the severity and consequences associated with system failure. The concepts are illustrated by application to two test systems. The results based on the overall reliability analysis framework indicate that adequacy indices are adversely affected by a generation deficient environment and security indices are adversely affected by a transmission deficient environment. The combined adequacy and security framework presented in this paper can assist system planners to realize the overall benefits associated with system modifications based on the degree of adequacy and security, and therefore facilitate the decision making process.

• Journal of Platform Technology
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• v.9 no.4
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• pp.32-41
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• 2021

The EU enacted a law strongly regulating the GDPR to protect the privacy of its citizens on 25 May 2018. Compliance with GDPR is an essential prerequisite for companies to enter the European market in the global economic era. In this paper, Step-by-step measures have been defined to conclude DPA agreements for the appropriate level of protection against EU personal data transfer. To explore the benefits and expected effects of determining appropriateness at the government level. As a result, enterprises benefit from simplifying processes, reducing time, and reducing costs when entering the EU. Government-level support in response to personal data breach and communication with the EU Commission will have a positive impact, However, even after the adequacy decision, the entity continues to need activities to secure personal data through compliance with GDPR principles and obligations. Major operations of companies that comply with GDPR are also maintained as important tasks that must be observed in most cases except for the Data Protection Agreement.

• Journal of Family Resource Management and Policy Review
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• v.2 no.2
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• pp.53-65
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• 1998

This study was designed to examine the decision-making and family life satisfaction of the urban middle-aged housewives from the ecological perspective. The main purpose of this study was to investigate the effects of ecological enviornment variables(ie, natural physical-biological environment·social-cultural environment·human-built environment) and their dicision-making on their family life satisfaction. Also, it is to provide some fundamental information that helps to elevate the family life satisfaction of the unban middle-aged housewives. The subjects of this study were 305 housewives living in Seoul and Inchon area, whose age was from 40 to 59. The significant results were as follows: 1) Their decision-making was affected by the following variables in the order of health condition, fate-control orientation, husband’s support, monthly family income and the perception of the adequacy of household income. 2) The ecological environment variables which had an influence on family life satisfaction were the perception of the adequacy of household income, husband’s support, fate-control orientation, health condition and educational level. 3) From the regression analysis, the model was found to be highly significant, accounting for 44% of the variance. Thus, husband’s support was the strongest predictor variable.

• Proceedings of the KSR Conference
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• 2011.10a
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• pp.3208-3213
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• 2011

It has regarded an attempt to design and construct more safe structures as challenges such as fate. In order to operate public facilities safely, It can be taken how to improve the resistance to applied load by increasing the cross-section of structural members or by installing reinforcement. But inevitably such a way is accompanied by an increase of construction cost or maintenance cost. To make a cost-effective construction, Reliability-based decision analysis which can judge the adequacy of investment is suggested using statistical data of the load, resistance and the maintenance cost.

• The Journal of Korean Academic Society of Nursing Education
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• v.22 no.3
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• pp.304-315
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• 2016

Purpose: The purpose of this study was to explore the relationships of critical thinking disposition (CT), nursing work environment (NWE), and clinical decision making ability among nurses. Methods: A cross-sectional, descriptive study design was conducted on 192 nurses who had worked for more than six months in five general hospitals. A self-reported questionnaire was used to collect data, which included demographics, CT, NWE, and clinical decision making ability. Results: The mean score of CT was 3.5. The highest score was on the objectivity of CT and the lowest on systematicity. The mean score of NWE was 2.3. The highest score was on the collegial nurse-physician relations of NWE and the lowest on the staffing and resource adequacy. The mean score of clinical decision making ability was 3.3. In hierarchical multiple regression, affecting factors on clinical decision making ability were CT and NWE. Conclusion: The findings showed that clinical decision making ability is associated with CT and NWE. To improve clinical decision making ability, it is important to improve CT. In addition, it should be considered to improve NWE where the nurses can make a decision with their job through critical thinking.

• Nuclear Engineering and Technology
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• v.54 no.8
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• pp.2941-2959
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• 2022

The fire brigade non-suppression probability model is a major factor that should be considered in evaluating fire-induced risk through fire probabilistic risk assessment (PRA), and also uncertainty is a critical consideration in support of risk-informed performance-based (RIPB) fire protection decision-making. This study developed an optimal integrated probabilistic fire brigade non-suppression model considering uncertainty of parameters based on the Bayesian Markov Chain Monte Carlo (MCMC) approach on electrical fire which is one of the most risk significant contributors. The result shows that the log-normal probability model with a location parameter (µ) of 2.063 and a scale parameter (σ) of 1.879 is best fitting to the actual fire experience data. It gives optimal model adequacy performance with Bayesian information criterion (BIC) of -1601.766, residual sum of squares (RSS) of 2.51E-04, and mean squared error (MSE) of 2.08E-06. This optimal log-normal model shows the better performance of the model adequacy than the exponential probability model suggested in the current fire PRA methodology, with a decrease of 17.3% in BIC, 85.3% in RSS, and 85.3% in MSE. The outcomes of this study are expected to contribute to the improvement and securement of fire PRA realism in the support of decision-making for RIPB fire protection programs.

• Journal of Information Technology Services
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• v.13 no.3
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• pp.275-298
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• 2014

The purpose of this study is to verify the difference between the importance level and the satisfaction level of each purchase decision factor of smart phone. Through review of literatures about purchase decision factors, we have derived about attributes of 6 factors. T-test, importance performance analysis (IPA), and regression analysis were conducted to identify priorities among the details of the importance and satisfaction and to analyze the effect relationship between satisfaction of each factor and overall satisfaction. Looking at a few high-priority order, battery capacity, memory capacity, fast and accurate repair, the adequacy of the repair cost, and processor in the top five factors were shown to be an important factor when purchasing smart phones. The results of this study can provide the marketing strategies for smart phone suppliers. In addition, these results imply what factors of smart phones should be more considered before launching into chinese smart phone market.

• The Journal of Information Systems
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• v.5
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• pp.205-248
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• 1996

Historically, the en-users' acceptance of the expert systems(ES) have generally been used as a proxy for the ES' implementation success by both practitioners and academicians. However, with regard to bank loan decisions, most loan officers approach the acquisition of an ES with apprehension. In order to overcome this skepticism, more research should focus on the behavioral aspects relate to systems acquisition and usage. This research applied Vroom's(1964) expectancy theory in an effort to predict end-users' motivation to use an ES in a bank loan decision context. Because human behaviors and judgements are nonlinear rather than linear functions, accurately predicting human behavior is very difficult. To increase the prediction power for end-users' motivation to use an ES in a bank loan decision context, this research used an artificial neural network (ANN) model. In this research, an attempt was made to evaluate adequacy of the surrogates by analyzing differences between real bank loan officers and student surrogates in applying expectancy theory to estimate bank loan officers' motivation to use ES in a bank loan decision context.

• Journal of the Korean Professional Engineers Association
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• v.41 no.2
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• pp.64-67
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• 2008

According to grow maritime activities in coastal zone, a threat increase to the marine environment from oil spill. The success or failure of initial effort depends on the adequacy of the plan and the ability of immediate execution. Successful response to oil spills requires critical information in real time topics, including spill data, environmental conditions, ecological factors. Diverse simulation provides tactical decision-makers with the information on the movement of pollutant.