• Women's Health Nursing
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• v.24 no.3
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• pp.297-309
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• 2018

Purpose: To develop Pregnancy Risk symptom Perception Scale (PRPS) and evaluate its validity and reliability. Methods: A preliminary 30-item version of PRPS was developed through literature review, in-depth interview, and Content Validity. Each item was scored on a four-point Likert scale. The preliminary scale was developed based on 301 pregnant women who visited a hospital. Date were analyzed using item analysis, factor analysis, confirmatory factor analysis, Pearson's correlation coefficients, and Cronbach's ${\alpha}$ (0.90 for total item, 0.80 to 0.88 for factors). Results: The PRPS consisted of 27 items. Three factors (physical, environmental, and emotional factors) explained 55% of the total variance. Cronbach's Criterion validity was supported by comparison with the Perception of Pregnancy Risk Questionnaire (r=0.34). In reliability test, the reliability coefficient of pregnancy risk symptom perception was high at 0.90. Conclusion: These results suggest that the pregnancy risk symptom perception scale developed in this study comprises items that can assess the level of pregnant women's pregnancy risk symptom perception in Korea. Its validity and reliability were proven. PRPS can be utilized to measure pregnant women's risk symptom perception during pregnancy. PRPS will contribute to the development of systematic prenatal care and effective risk management.

• Journal of Korean society of Dental Hygiene
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• v.13 no.1
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• pp.98-104
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• 2013

Objectives : The purpose of this study was to measure the fear of dental care and analyze the related factors between reliability for members in dental office and fear of dental care, dental office. Methods : Located in Gwangju, 260 college women who had dental experience in the past year were surveyed. SPSS windows ver. 11.0 by demographic characteristics and oral health characteristics of the frequency and percentage, and related factors in the fear of dental care and the reliability about dental health care workers of one way ANOVA, Tukey test for Post-Hoc test. and were factors associated with dental fear of the stepwise multiple regression analysis was performed. Results : The fear will be higher when subjective oral health status is considered lower, the reliability of dental health care workers is lower(p<0.05). Evasion and overall fear, overall fear and stimulations of dental care, stimulations of dental care and overall feeling were related(p<0.05). Conclusions : The reliability of dental health care workers is lower and subjective oral health status is considered lower, the fear of dental care increase and everage number of brushing has increased, the fear of dental care decrease.

• Proceedings of the Korean Geotechical Society Conference
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• 1997.03a
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• pp.161-168
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• 1997

The purpose of this study is to evaluate the possibility of normalization of the distibutions of soil parameters taken from soft ground and the reliability of the safety factors of specific objects on it, including sanitary landfill. Through this study it is found that distributions of soil parameters could be adjusted to appropriate normal distributions as possibility density functions(PDF), and that especially the group of initial cohesions and the coresponding safety factors has a perfect linear correlation. According to those results the PDF to initial cohesion as possibility parameter can not only be tmsformed to the PDF to safety factor but also, conseqently, the reliability of the safety factor(SF) simply based on the mean value of soil parameter(Co) can be calculated or easily picked up from the standrad normal distribution table. It is therefore concluded that even though calculated values of safety factors are over any standard requirements some possibility of risk both to the objects and natural soft ground could be still existing, and also a new standard value for this slope stability control system should be derived just by adjusting old one according to the magnitude of risk possibility.

• Proceedings of the Korea Concrete Institute Conference
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• 2008.04a
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• pp.145-148
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• 2008

Recently, most of the international design code for concrete structures are trying to develope performance-based design specification with the limit state concept. To accomplish this object, it is necessary to define required performance and to measure the performance level of structure. The reliability index is one of the most attractive indexes to express the level of performance. In this paper, prestressed concrete beam is designed following member resistance factor and material resistance factor format and the reliability indexes are obtained and compared for different sets of resistance factors. Compatible sets of safety factors could be calibrated for given level of target reliability index applying the similar method presented in this paper.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.46 no.3
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• pp.109-122
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• 2023

As platforms become primary decision making tools, platforms for decision have been introduced to improve quality of decision results. Because, decision platforms applied augmented decision-making process which uses experiences and feedback of users. This process creates a variety of alternatives tailored for users' abilities and characteristics. However, platform users choose alternatives before considering significant quality factors based on securing decision quality. In real world, platform managers use an algorithm that distorts appropriate alternatives for their commercial benefits. For improving quality of decision-making, preceding researches approach trying to increase rational decision -making ability based on experiences and feedback. In order to overcome bounded rationality, users interact with the machine to approach the optional situation. Differentiated from previous studies, our study focused more on characteristics of users while they use decision platforms. This study investigated the impact of quality factors on decision-making using platforms, the dimensions of systematic factors and user characteristics. Systematic factors such as platform reliability, data quality, and user characteristics such as user abilities and biases were selected, and measuring variables which trust, satisfaction, and loyalty of decision platforms were selected. Based on these quality factors, a structural equation research model was created. A survey was conducted with 391 participants using a 7-point Likert scale. The hypothesis that quality factors affect trust was proved to be valid through path analysis of the structural equation model. The key findings indicate that platform reliability, data quality, user abilities, and biases affect the trust, satisfaction and loyalty. Among the quality factors, group bias of users affects significantly trust of decision platforms. We suggest that quality factors of decision platform consist of experience-based and feedback-based decision-making with the platform's network effect. Through this study, the theories of decision-making are empirically tested and the academic scope of platform-based decision-making has been further developed.

• Journal of the Korean Society for Aeronautical & Space Sciences
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• v.40 no.4
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• pp.336-345
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• 2012

In crack growth life, uncertainties are caused by variance of geometry, applied loads and material properties. Therefore, the reliability estimation for these uncertainties is required to keep the robustness of calculated life. The stress intensity factors are the most important variable in crack growth life calculation, but its equation is hard to know for complex geometry, therefore they are processed by the finite element analysis which takes long time. In this paper, the response surface is considered to increase efficiency of the reliability analysis for crack growth life of a turbine wheel. The approximation model of the stress intensity factors is obtained by the regression analysis for FEA data and the response surface of crack growth life is generated for selected factors. The reliability analysis is operated by the Monte Carlo Simulation for the response surface. The results indicate that the response surface could reduce computations that need for reliability analysis for the turbine wheel, which is hard to derive stress intensity factor equation, successfully.

• Journal of Aerospace System Engineering
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• v.18 no.2
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• pp.21-28
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• 2024

In light of the rapid development of the space industry, there has been increased attention on small satellites. These satellites rely on components that are considered to have lower reliability compared to larger-scale satellites. As a result, predicting reliability becomes even more crucial in this context. Therefore, this study aims to compare three reliability prediction techniques: MIL-HDBK-217F, RiAC-HDBK-217Plus, and FIDES. The goal is to determine a suitable reliability standard specifically for nano-satellites. Furthermore, we have refined the quality assurance factors of the manufacturing company. These factors have been adjusted to be applicable across various industrial sectors, with a particular focus on the selected FIDES prediction standard. This approach ensures that the scoring system accurately reflects the suitability for the aerospace industry. Finally, by implementing this refined system, we confirm the impact of the manufacturer's quality assurance level on the total failure rate.

• Journal of the Korean Applied Science and Technology
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• v.41 no.3
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• pp.842-855
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• 2024

This study was conducted to investigate the reliability of Social Media information according to the actual use of nail shops through Social Media and the effect of nail shops on the selection factors, and to contribute to the management strategy of nail companies by securing loyal customers through effective promotion and customer satisfaction through Social Media. The survey was conducted by analyzing the final 403 copies of adult women in their 20s and 50s who used nail shops using Social Media. As a result of the study, it was found that there is a difference according to each factor in the actual use of nail shops through Social Media according to general characteristics. Second, there were differences in information reliability according to the actual use of nail shops through Social Media and Social Media nail shop selection factors. Third, there was a difference in the reliability of Social Midea information and selection factors according to the use of nail shops Social Media. Fourth, it was found that the reliability of Social Midea information affects the selection factors of nail shops through Social Media. Therefore, it can be helpful in revitalizing the nail beauty market by increasing the satisfaction of consumers who use nail shops and basic data for establishing nail shop management strategies.

• Journal of the Korean Society for information Management
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• v.30 no.3
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• pp.207-228
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• 2013

The purpose of this study is to reveal the influence of the expectation and perceived performance of the online science & technology information service quality on user satisfaction and royalty. To achieve this goal, we use the NDSLQual model to measure the quality of NDSL service. The results were as follows: First, among seven expectation factors, four factors (reliability, convenience, system usability and information quality) had a positive effect on the user satisfaction. Second, while service recovery had a negative effect on the royalty, the other six factors (reliability, convenience, system usability, responsiveness, security and information quality) had a positive effect on the royalty. Third, among seven perceived performance factors, three factors (reliability, convenience and information quality) had a positive effect on the user satisfaction. Fourth, among seven perceived performance factors, three factors (reliability, convenience and information quality) had a positive effect on the royalty. As a result, information quality, reliability and convenience of the expectation and perceived performance are common factors influencing user satisfaction and royalty.

• International Commerce and Information Review
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• v.11 no.4
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• pp.215-228
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• 2009

This research considers to analyze the importance and priority order of outsourcing partner selecting factors on plant exporters. This research deals with case study on the outsourcing in the "A" plants exporter. To obtain the goal this research, firstly, based on reviewing previous literature and taking professional advice, the selecting factors were identified and conceptualized, and we made the hierarchy model and utilized AHP in analysis method. Secondly, AHP model constructed 3 higher factors, and 9 lower factors. Thirdly, the data used for the weight values for the outsourcing partner factors were collected from outsourcing experts and officers in "A" company. The 3 higher factors were 'Firm's Competence', 'Customer/User Factor', and 'Systemic Factor', and the 9 lower factors were 'experience of outsourcing', 'competency based HR', 'market share', 'reliability', and 'communication', etc. As the results of the analysis, this research evaluated with an importance highest among selecting factors of outsourcing partner of "A" company were 'Customer/User Factor(46.5%)', 'Systemic Factor(27.8%)' and 'Firm's Competence(25.7%)'. And importance highest among lower selecting factors of outsourcing partner of "A" company were 'reliability(31.4%)', 'competency based HR(14.4%)' and 'communication(13.7%)'. The developed model and selecting factors of outsourcing partner are expected to contribute on effective decisions on plants exporters. Managerial implications and future research directions are suggested based on findings.