• Asian-Australasian Journal of Animal Sciences
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• v.31 no.1
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• pp.19-25
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• 2018

Objective: In practical breeding, selection is often performed by ignoring the accuracy of evaluations and applying economic weights directly to the selection index coefficients of genetically standardized traits. The denominator of the standardized component trait of estimated genetic evaluations in practical selection varies with its reliability. Whereas theoretical methods for calculating the selection index coefficients of genetically standardized traits account for this variation, practical selection ignores reliability and assumes that it is equal to unity for each trait. The purpose of this study was to clarify the effects of ignoring the accuracy of the standardized component trait in selection criteria on selection responses and economic weights in retrospect. Methods: Theoretical methods were presented accounting for reliability of estimated genetic evaluations for the selection index composed of genetically standardized traits. Results: Selection responses and economic weights in retrospect resulting from practical selection were greater than those resulting from theoretical selection accounting for reliability when the accuracy of the estimated breeding value (EBV) or genomically enhanced breeding value (GEBV) was lower than those of the other traits in the index, but the opposite occurred when the accuracy of the EBV or GEBV was greater than those of the other traits. This trend was more conspicuous for traits with low economic weights than for those with high weights. Conclusion: Failure of the practical index to account for reliability yielded economic weights in retrospect that differed from those obtained with the theoretical index. Our results indicated that practical indices that ignore reliability delay genetic improvement. Therefore, selection practices need to account for reliability, especially when the reliabilities of the traits included in the index vary widely.

• Journal of Korean Society for Quality Management
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• v.31 no.1
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• pp.11-20
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• 2003

In the development of a complex systems, the early prototypes generally have reliability problems, and, consequently these systems are subjected to a reliability growth program to find problems and take corrective action. A variety of models have been proposed to account for the reliability growth phenomena. Clear guidelines need to be established to assist the reliability engineers for model selection. In this paper, some of more well-known growth models are surveyed and classified. These models are classified based upon distinguishing model features. A procedure for model selection is introduced which is based on this classification.

• International journal of advanced smart convergence
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• v.8 no.4
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• pp.130-137
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• 2019

We conducted this study to identify the composition factors for consumers' selection attributes of accommodation applications and to identify the differences in the selection attributes perception of accommodation applications based on demographic characteristics and use status. According to the study, 6 factors were derived as the components of the selectivity of accommodation application and were named convenience, interactivity, economic efficiency, transaction reliability, product reliability and informativeness. And the respondents differed in their selection attributes perception of the accommodation application they used. In particular, it was found that the highest perception of informativeness and interactivity, and the lowest perception of product reliability. Finally, there were differences in the selection attributes perception of the accommodation application they used by demographic characteristics and use status. Based on the results of this study, we should strive to derive the effective marketing strategy needed for travel industry-related companies.

• The Korean Journal of Health Service Management
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• v.6 no.4
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• pp.279-294
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• 2012

The study compared refractive surgery patients' hospital selection factors and satisfaction, through this to see the factors influencing patients' satisfaction, aiming at 235 patients visiting two Eye hospitals. The research results are followed. First, target group's hospital selection factors appeared facilities and environment factor, reliability factor, personal service factor, and accessibility factor in the order. Second, patients' satisfaction appeared reliability factor, facilities and environment factor, and personal factor in the order. Fourth, in the result comparing patients' expectation on hospital selection and satisfaction score, all factors of facilities and environment, personal service, and reliability had high satisfaction score than expectation. Third, in the result of factors influencing refractive surgery patients' satisfaction, in surgery determination period, surgery expenditure, and hospital selection factors among characteristics relating to refractive surgery, facilities and environment, personal service, and reliability appeared as satisfaction influencing factors. In conclusion, the study found that hospital selection factors and satisfaction influencing factors by refractive surgery patients' surgery type are considered to be able to be used to establish marketing strategy in the fields excluded from insurance application, the researches to improve patients' satisfaction in patient-oriented medical market should be continuously proceeded.

• Geomechanics and Engineering
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• v.15 no.3
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• pp.879-888
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• 2018

Probability-based design codes have been developed to sufficiently confirm the safety level of structures. One of the most acceptable probability-based approaches is Load Resistance Factor Design (LRFD), which measures the safety level of the structures in terms of the reliability index. The main contribution of this paper is to calibrate the load and resistance factors of the design code for tunnels. The load and resistance factors are calculated using the available statistical models and probability-based procedures. The major steps include selection of representative structures, consideration of the limit state functions, calculation of reliability for the selected structures, selection of the target reliability index and calculation of load factors and resistance factors. The load and resistance models are reviewed. Statistical models of resistance (load carrying capacity) are summarized for strength limit state in bending, shear and compression. The reliability indices are calculated for several segments of a selected circular tunnel designed according to the tunnel manual report (Tunnel Manual). The novelty of this paper is the selection of the target reliability. In doing so, the uniform spectrum of reliability indices is proposed based on the probability paper. The final recommendation is proposed based on the closeness to the target reliability index.

• Journal of Korean Society for Quality Management
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• v.27 no.3
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• pp.125-141
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• 1999

Bayesian inference and model selection method for software reliability growth models are studied. Software reliability growth models are used in testing stages of software development to model the error content and time intervals between software failures. In this paper, we could avoid the multiple integration by the use of Gibbs sampling, which is a kind of Markov Chain Monte Carlo method to compute the posterior distribution. Bayesian inference and model selection method for Jelinski-Moranda and Goel-Okumoto and Schick-Wolverton models in software reliability with Poisson prior information are studied. For model selection, we explored the relative error.

• The Journal of Information Systems
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• v.28 no.2
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• pp.25-52
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• 2019

Purpose Despite the recent increase in the use of selection tools using artificial intelligence (AI), far less is known about the effectiveness of them in recruitment and selection research. Design/methodology/approach This paper tests the impact of AI-based initial screening and interview on intentions to apply. We also examine the moderating role of individual difference (i.e., reliability on technology) in the relationship. Findings Using policy-capturing with undergraduate students at a large university in South Korea, this study showed that AI-based interview has a negative effect on intentions to apply, where AI-based initial screening has no effect. These results suggest that applicants may have a negative feeling of AI-based interview, but they may not AI-based initial screening. In other words, AI-based interview can reduce application rates, but AI-based screening not. Results also indicated that the relationship between AI-based initial screening and intentions to apply is moderated by the level of applicant's reliability on technology. Specifically, respondents with high levels of reliability are more likely than those with low levels of reliability to apply for firms using AI-based initial screening. However, the moderating role of reliability was not significant in the relationship between the AI interview and the applying intention. Employing uncertainty reduction theory, this study indicated that the relationship between AI-based selection tools and intentions to apply is dynamic, suggesting that organizations should carefully manage their AI-based selection techniques throughout the recruitment and selection process.

• Journal of the East Asian Society of Dietary Life
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• v.25 no.5
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• pp.922-931
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• 2015

To investigate and analyze the influence of trust on consumer satisfaction in rice cake cafe menus using domestically grown food ingredients, this study divided selection attributes of rice cake cafe menus into safety, nutrition, ethicality and marketability through an exploratory factor analysis and analyzed reliability and correlation among these variables. As a result, these four factors were adopted as selection factors, and the results of the correlation analysis among the variables showed that the four factors were statistically correlated with trust and customer satisfaction. The result of validity and reliability testing on consumer trust showed that the menus were reliable and trustworthy as they had been made using domestically grown agricultural products. Analysis of how cafe selection attributes affect trust showed that the these variables had a significantly positive influence on trust in the order of safety, marketability, nutrition, and ethicality. The influence of the selection attributes on customer satisfaction was statistically significant, and the independent variables had a significantly positive influence on trust in the order of marketability, ethicality, safety, and nutrition. In verifying the mediation effect of trust on customer satisfaction, the four factors of rice cake cafe selection attributes had statistically significant mediation effects.

• International Journal of Advanced Culture Technology
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• v.8 no.4
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• pp.212-219
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• 2020

We conducted this study to identify the accommodation applications users' lifestyle types and the composition factors for consumers' accommodation applications selection attributes and to identify the difference in the selection attributes perception of accommodation applications between groups classified by user's lifestyle types. According to the study, 6 factors were derived as the accommodation applications users' lifestyle types and were named social/leisure-oriented type, fashion-seeking type, culture-seeking type, self-examining type, self-centered type, family-oriented type. Also 6 factors were derived as the accommodation applications selection attributes and were named convenience, interactivity, economic efficiency, transaction reliability, product reliability and informativeness. Valid clusters were divided into four groups and were named culture/tourism group, self-examining group, passive and cautious group and Social and practicality-seeking group. Most of the selection attributes perception of accommodation applications between groups had statistically significant differences(p<.05), except for some items of transaction reliability. Based on the results of this study, we should strive to establish effective marketing strategies that reflect differences in the selection attributes perception of the accommodation application between groups classified by users' lifestyle types.

• The Journal of the Korea Contents Association
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• v.20 no.10
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• pp.134-145
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• 2020

This study focused on the effects of Korean cosmetics selection attributes on Mongolian consumers' brand reliability and purchasing intentions. We are also to verify the relationship impacts between consumers brand reliability in advertising media and the purchase intention on the type of promotion. 255 questionnaires were collected for Mongolian consumers and analyzed using SPSS and AMOS. The analysis shows that product price, image and quality that they have a positive effect on brand reliability, while familiarity has not had a meaningful impact on brand reliability. Moreover, brand reliability has been shown to have a positive effect on purchasing intention. As a result of the adjustment effect test according to advertising media, the relationship impacts between product selection attributes and brand reliability were shown positive effect in part. Finally, the type of sales promotion were found to have a controlling effect between brand reliability and purchasing intention. These results show applicable implications for Korean cosmetics companies in terms of marketing and operations when entering Mongolia's cosmetics industry.