• Safety and Health at Work
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• v.13 no.2
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• pp.170-179
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• 2022

Background: The vulnerability of international migrant workers is on the rise, affecting the frequency of occupational accidents at workplaces worldwide. If migrant workers are managed in the same way as native workers, the consequences on safety assurance and risk management will be significant. This study aimed to develop the vulnerability factor model for migrant workers in seafood processing industries because of significant risk-laden labor of Thailand, which could be a solution to control the risk effectively. Methods: A total of 569 migrant workers were surveyed (432 Burmese and 137 Cambodian), beginning with 40 initial vulnerability factors identified in the questionnaire established from experts. The data were analyzed through descriptive analysis; exploratory factor analysis (EFA) and confirmatory factor analysis (CFA) were used to ascertain the model. Results: The result of content validity >0.67 and the Cronbach's alpha of 0.957 specified the high reliability of 40 factors. The EFA indicated a total variance of 65.49%. The final CFA validated the model and had an empirical fitting; chi-square = 85.34, Adjust Goodness-of-Fit Index = 0.96, and root mean square error of approximation = 0.016. The structure concluded with three dimensions and 18 factors. Dimension 1 of the structure, "multicultural safety operation," contained 12 factors; Dimension 2, "wellbeing," contained four factors; and Dimension 3, "communication technology," contained two factors. Conclusion: The vulnerability factor structure developed in this study included three dimensions and 18 factors that were significantly empirical. The knowledge enhanced safety management in the context of vulnerability factor structure for migrant workers at the workplace.

• Fashion & Textile Research Journal
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• v.25 no.5
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• pp.626-633
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• 2023

This study aimed to reveal the structural relationship between the awareness of the 4th industrial revolution, entrepreneurship knowledge, entrepreneurship mind, and entrepreneurship intention in college students majoring in beauty. To this end, the study used a questionnaire to survey college students majoring in beauty. A total of 300 copies of the questionnaire were distributed, and after weeding out insincere responses, 283 copies were used for a final analysis. The analysis was carried out using SPSS 26.0. The results are as follows: First, the awareness of the 4th industrial revolution had a positive effect on entrepreneurship knowledge, entrepreneurship mind, and entrepreneurship intention of the subjects, and entrepreneurship mind had an effect on entrepreneurship intention. Second, it was verified that the goodness of fit of the structural model on the relationship between the awareness of the 4th industrial revolution and entrepreneurship intention was satisfactory. After analyzing the hypotheses on the structural model, it was discovered that all of them were adopted. In respect to the awareness of the 4th industrial revolution and entrepreneurship intention, the indirect effect of entrepreneurship knowledge and entrepreneurship mind were statistically significant. In conclusion, this study investigated the structural relationship between the awareness of the 4th industrial revolution and entrepreneurship in college students majoring in beauty, with the goal of providing basic data for entrepreneurship education.

• The Korean Journal of Applied Statistics
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• v.19 no.3
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• pp.407-419
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• 2006

In this paper, we analyze household overdue loans in Korea which has been causing serious social and economical problems. We consider customers of Bank A in Korea and focus on overdue cash services which have been snowballing in the past few years. From analysis of overdue loans, one can predict possible delays for current customers as well as build a credit evaluation and risk management system for future customers. As a statistical analytical tool, we propose a two-stage Generalized Linear regression Model (GLM) which assumes a logistic model for presence/non-presence of overdue and a gamma model for the amount of overdue in the case of overdue. We perform goodness of fit test for the two-stage model and select significant explanatory variables in each stage of the model. It turns out that age, the amount of credit loans from other financial companies, the amount of cash service from other companies, debit balance, the average amount of cash service, and net profit are important explanatory variables relevant to overdue credit card cash service in Korea.

• Journal of Korean Society of Transportation
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• v.32 no.2
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• pp.170-178
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• 2014

Until now, several research on the relationship of traffic crash occurrences and geometric had been conducted and revealed that projects of road alignment, geometric improvement and hazardous segment selection reduced the number of accidents and accident severities. However, such variables did not consider the non-homogeneous characteristics of roadway segments due to the difficulty of data collection, which results in under-estimation of the standard error affecting the overall modeling goodness-of-fit. This study highlights the importance of non-homogeneity by looking at the effect of the non-homogeneous geometric variables through the modeling process. The model delivers meaningful results when using some geometric variables without relevant geometrics' variables.

• Journal of Gifted/Talented Education
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• v.25 no.4
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• pp.511-528
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• 2015

The development process from creative potential to realized talent is complex and non-linear. This feature of the process stands out more in the process of living a creative life in the long-term rather than in a situation to solve certain problems in the short-term. The purpose of this study is to develop Creativity Path Inventory (CPI) for undergraduate students based on Sawyer's Zigzag Model which is one of creative process theories and to verify reliability and validity of the inventory. Thus, reflecting the characteristics of each stage of the model, this study developed 88 items in 8 factors and finally confirmed 38 items in 7 factors through item analysis and verification process on construct validity. Internal consistency of a total of 38 items in CPI turned out to be .835, confirming the reliability of the inventory and goodness-of-fit index of the final model also demonstrated an appropriate result. CPI with verified reliability and validity will help enable people who want to manifest creativity in view of everyday creativity to realize self-improvement by self-reporting their strengths and weaknesses on their own.

• Journal of the Computational Structural Engineering Institute of Korea
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• v.30 no.1
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• pp.87-94
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• 2017

Reliability analysis(RA) and Reliability-based design optimization(RBDO) require statistical modeling of input random variables, which is parametrically or nonparametrically determined based on experimental data. For the parametric method, goodness-of-fit (GOF) test and model selection method are widely used, and a sequential statistical modeling method combining the merits of the two methods has been recently proposed. Kernel density estimation(KDE) is often used as a nonparametric method, and it well describes a distribution function when the number of data is small or a density function has multimodal distribution. Although accurate statistical models are needed to obtain accurate RA and RBDO results, accurate statistical modeling is difficult when the number of data is small. In this study, the accuracy of two statistical modeling methods, SSM and KDE, were compared according to the number of data. Through numerical examples, the RA results using the input models modeled by two methods were compared, and appropriate modeling method was proposed according to the number of data.

• Journal of the Korean Society of Hazard Mitigation
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• v.7 no.2 s.25
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• pp.53-63
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• 2007

This study is to evaluate the probable snowfall depth by the point frequency analysis and to draw the map of probable snowfall depth in Korea. The 14 probability distributions which has been widely used in hydrologic frequency analysis are applied to the annual maximum depth of snowfall data. The parameters of each probability distribution are estimated by method of moments, maximum likelihood method and method of probability weighted moments. The estimated parameters were checked by parameter validity conditions of each assumed probability distribution. Four tests that are $X^2-test$, Kolmogorov-Smirnov test, Cramer von Mises test and probability plot correlation coefficient test are used in this study to determine the goodness of fit of the distributions. Mostly the 2-parameter gamma distribution was determined as appropriate distribution for the annual maximum new snowfall depth. The probable snowfall depth were obtained from appropriate distribution for the selected return periods and the maps of probable snowfall depth were presented. It will be useful to specify the snowfall load for the design of agricultural facilities such as vinyl house and cattle shed.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.22 no.51
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• pp.199-210
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• 1999

The number of car accident is Recently on the increase in Korea because of the explosive increase of cars, the poor road condition, the lack of safety facility, and others. The insurant with a accident has to decide whether receiving a insurance or not. In this paper, we represent a reasonable decision support material by calculating the approximate insurance fee based on the discount rate and premium additive rate, which is changed by the accident type and the accident expenditure. Practically, there is difference in the standard insurance rate and premium additive rate according to the accident type and the accident expenditure in Korea. The premium additive rate is assessed considering the number of accident, the pattern of accident, and the reason of accident for 3 years. In this paper, we represent a decision making method considering not only the first-time car accident but also the future car accident. For considering the repeated accident, we analyzed the real data accumulated until the year of 1996 from S Insurance Company, and estimated the probability density function between the first and the second-time accident, and executed the goodness of fit test using ARENA and STATISTICA software. Using this conditional PDF, we can calculate the insurance fee next 3 years and compare the insurance fee with the equivalent present value of cash flows. The program performing this analysis is represented, and written in VISUAL BASIC Language. We tried to suggest an accurate guideline for the insurant to decide the insurance coverage rationally, and tried to correct a wrong idea of dependence on the car insurance only by the amount of the accident expenditure. And we expect this study can generally be applied to many different accident types under the uncertain circumstances in our daily life.

• Journal of Korean Society of Forest Science
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• v.95 no.6
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• pp.768-777
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• 2006

The purpose of this study lies in formulating the landscape preference model using a conditional logit that involves the effect of visual elements as well as landscape itself on landscape preferences. To measure landscape preferences, a photo-questionnaire composed of paired photographs of the Cairngorms National Park of Scotland and the Jirisan National Park of Korea was distributed to visitors to the Jirisan National Park of Korea. Visual elements of landscape quantitatively measured by photogrammetry were reduced to orthogonal principal components that were subsequently used as explanatory variables in a conditional logit. As a result, the mixed conditional logit including the effect of landscape itself satisfied the Independence of Irrelevant Alternatives (IIA) property and showed reliable goodness of fit (${\rho}^2=0.25$). It was concluded that the mixed conditional logit including the effect of landscape itself was appropriate for landscape preference model rather than usual conditional logit excluding the effect.

• Journal of the Korean Society of Costume
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• v.67 no.2
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• pp.1-16
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• 2017

This study was conducted to investigate how consumer global-mindedness affects global fashion out-of-home (OOH) advertising which global consumer culture positioning applies, and to examine the relations among global fashion brand OOH advertising, perceived fashion brand globalness, perceived quality and brand reputation. Data were collected from 238 general people in 20~30s in seoul and were analyzed by using statistic methods such as frequency analysis, reliability analysis, confirmatory factor analysis and structural d modelling by running both SPSS 18.0 and AMOS 7.0 program. The results of this study were as follows. First of all, it indicated that the fit indexes were satisfied and the overall model of this study showed a favorable goodness of it from the results of confirmatory analysis. Secondly, consumer global-mindedness had a positive impact on preference towards global fashion OOH advertising. Finally, preference towards global fashion brand OOH advertising positively affected perceived fashion brand globalness, perceived quality and fashion brand reputation. The results implies that it is necessary that fashion brands fully understand consumers' tendency and the benefits of marketing can be maximized through global positioning OOH advertising on subways which makes consumers recognize fashion brands as global ones.