• Industry Promotion Research
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• v.8 no.2
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• pp.81-91
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• 2023

This study aims to present basic data for preventing drop-out intention by identifying the mechanisms in which academic stress affects drop-out intention through self-esteem, peer relationships, and grit in high school students. The subjects of the study were 283 high school students purposively selected from three cities and counties in Chungcheongnam-do. The data were analysed using SPSS PC+ Win. ver. 25.0 and SPSS PROCESS macro ver. 4.2. The applied statistical techniques were descriptive statistics, reliability analysis, correlation analysis, and moderated mediation effect analysis. As a result of the study, first, academic stress showed a positive correlation with the drop-out intention, but a negative correlation with self-esteem, grit, and peer relationship. Second, grit not only played a moderating role in enhancing the relationship between self-esteem and peer relationship, but also played a moderated mediating role in the path of academic stress → self-esteem → peer relationship → drop-out intention. It was confirmed that the academic stress of high school students has a direct effect on the drop-out intention, and that self-esteem, peer relationships, and grit can be used as important factors to prevent the school drop-out.

• The Korean Journal of Nuclear Medicine Technology
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• v.27 no.1
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• pp.55-61
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• 2023

Purpose In this study, the monthly population distribution was calculated for statistical verification of 10 tests (CA19-9, CA15-3, testosterone, PTH, calcitonin, AFP, CEA, CA72-4, PSA, estradiol) with changed reagents, and the trend of change By comparing and analyzing the results, we want to verify the accuracy of the results and improve the reliability of the test. Materials and Methods From June 2021 to February 2023, for the 10 items in which the reagent was changed, the monthly percentage and standard deviation index before and after the reagent change were compared, respectively. At this time, the reference value was arbitrarily set for the comparison group in consideration of the reference value of the test item, and the groups were subdivided and compared, and the standard deviation index allowed range was -2.0 or more and 2.0 or less. Results For CA19-9, CA15-3, AFP, CEA, and calcitonin 5 test items, the change in monthly ratio in all test sections before and after the reagent change was kept constant. On the other hand, for CA72-4, PSA, testosterone, PTH, and estradiol items, the standard deviation index exceeded the acceptable standard after changing the reagent. CA72-4 test items showed an increasing trend in standard deviation index in the test section exceeding the reference value. In the case of the PSA test item, the maintenance ratio of 0.04 ng/mL was significantly decreased after changing the reagent. The testosterone test item had a standard deviation index of -2.5 in the test section exceeding 10.1 ng/mL after changing the reagent, and the standard deviation index of the PTH test item was out of the acceptable range in all test sections. It was confirmed that the estradiol test item showed an overall increase in the result value. Conclusion Through this study, the continuity and accuracy of the test results could be verified. It is considered that the stability of the test can be secured by analyzing the factors affecting the test result and solving the cause for the test item whose standard deviation index is out of the acceptable standard.

• Journal of Digital Convergence
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• v.20 no.3
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• pp.157-167
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• 2022

This study was conducted to confirm the relationship between the proactive accounts receivable management of SMEs on credit sales decision making and business performance, and to derive effective accounts receivable management plan and systematic credit sales decision making plan. Based on 455 copies of data collected through a survey targeting SMEs, it was confirmed through factor analysis, reliability analysis, confirmatory factor analysis, and model fit verification, and the research hypothesis was verified with a structural equation model. As a result of the verification, credit rating had a positive effect on financial performance, sales performance and credit sales decision, while credit control had a positive effect on financial performance, while negative effect on sales performance and credit sales decision. In the mediating effect hypothesis test, credit sales decision had a positive effect between credit rating and business performance and a negative effect between credit control and business performance. The study suggests that if small and medium-sized enterprises improve their business performance through effective accounts receivable management, they can create a synergistic effect in enhancing the business performance of companies if they simultaneously improve their proactive accounts receivable management and credit sales decision ability. Future research is required to study the impact of factors such as segmentation of research subjects and credit transaction motives and accounts receivables management.

• Journal of Intelligence and Information Systems
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• v.29 no.2
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• pp.85-100
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• 2023

Corporate ESG performance (environmental, social, and corporate governance) reflecting a company's strategic sustainability has emerged as one of the main factors in today's investment decisions. The traditional ESG performance rating process is largely performed in a qualitative and subjective manner based on the institution-specific criteria, entailing limitations in reliability, predictability, and timeliness when making investment decisions. This study attempted to predict the corporate ESG rating through automated machine learning based on quantitative and disclosed corporate financial information. Using 12 types (21,360 cases) of market-disclosed financial information and 1,780 ESG measures available through the Korea Institute of Corporate Governance and Sustainability during 2019 to 2021, we suggested a deep neural network prediction model. Our model yielded about 86% of accurate classification performance in predicting ESG rating, showing better performance than other comparative models. This study contributed the literature in a way that the model achieved relatively accurate ESG rating predictions through an automated process using quantitative and publicly available corporate financial information. In terms of practical implications, the general investors can benefit from the prediction accuracy and time efficiency of our proposed model with nominal cost. In addition, this study can be expanded by accumulating more Korean and international data and by developing a more robust and complex model in the future.

• 한국체육학회지인문사회과학편
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• v.55 no.5
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• pp.127-142
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• 2016

The purpose of this study was to clarify the casual effects among participants'curiosity, the perceived exertion and the exercise emotion on the exercise adherence behavior in marine leisure sports. The subjects for the study was 491 students who registered for the curriculum on marine leisure sports(SCUBA diving, Windsurfing, Yacht). They answered to 4 kinds of questionnaires. The descriptive analysis and the reliability analysis were accomplished through SPSS 18.0. The correlation analysis and the confirmatory factor analysis were conducted for verifying the validity of the research model with AMOS 18.0. The verification for the structure equation modeling was conducted to investigate the casual relationship among factors. The results was as follows. First, there was the causality between the participants'curiosity on the marine leisure sports and the exercise emotion, the emotion and the exercise adherence behavior, the curiosity and the behavior. Also, the exercise emotion was the partial mediating variable of the causality between the curiosity and the exercise adherence behavior. Seconds, when the exercise intensity was heavy, the rate of the positive emotion was low and the opposite was high. When the exercise intensity was heavy, the probability, predisposing and reinforcing were low. A strong will for doing exercise showed in case the exercise emotion was positive with high probability, predisposing and reinforcing. The exercise emotion was the partial mediating variable of the causality between the perceived exertion and the exercise adherence behavior.

• 한국체육학회지인문사회과학편
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• v.55 no.3
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• pp.637-647
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• 2016

This study examined the difference of self-determinative motivations of non-handicapped students about inclusive physical activity according to the social demographic characteristics. And this study also researched the influence of self-determinative motivation of non-handicapped student about the inclusive physical activity to interaction with handicapped student. In order to achieve the object of the study, the data collected from 674 students in included the intellectually handicapped students and inclusive physical activity. As a measuring tool, Choi (2008) and Lee (2006) questionnaire. Data was used SPSS 21.0, and the exploratory factor analysis, reliability verification, difference verification, and simple regression analysis were performed. The results are as follows. First, in terms of the data analysis of self-determinative motivation based on demographic characteristics (sex, grade, friend with disabilities, experiencing duration of inclusive physical activities), sex, friend with disabilities, experiencing duration of inclusive physical activities displayed statistically significant difference self-determinative motivation. Second, in terms of the effects of students with non disabilities self-determinative motivation on towards interaction of students with disabilities, motivation, external regulation, introjected regulation, identified regulation and intrinsic motivation among the sub-factors of self-determinative motivation affected significantly on interaction with students with disabilities.

• 한국체육학회지인문사회과학편
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• v.54 no.2
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• pp.421-430
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• 2015

The purpose of this study was to investigate the effects of Adapted Physical Education Majors' perceived teacher competencies on the emotion reaction towards challenging behaviors of students with disabilities. In order to achieve the object of the study, the data collected from 413 sophomores, juniors, and seniors currently studying adapted physical education in schools located in Seoul, Gyeonggi, Gyeongnam, and Gyeongbuk, where they offer department of adapted physical education, was analyzed. As a measuring tool, Kwon (2008) and Han (2011) questionnaire for adapted physical education educators' perceived teacher competency and Oh, Seo & Kozub's (2010) questionnaire on the emotion reaction towards challenging behaviors of students with disabilities were revised, modified, and reconstructed. Data was processed using SPSS 21.0, and the exploratory factor analysis, reliability verification, difference verification, and multiple regression analysis were performed. The results are as follows. First, in terms of the analysis of emotion reaction based on demographic characteristics (sex, grade, disability in the family, friends with disabilities), sex, grade, and friends with disabilities displayed statistically significant difference on emotion reactions. Second, in terms of the effects of adapted physical education educators' perceived teacher competencies on the emotion reactions on towards challenging behaviors of students with disabilities, the parental education and the special activities of adapted physical education among the sub-factors of perceived teacher competencies affected significantly on emotion reactions, whereas the common knowledge on adapted physical education, curriculum lesson, and education knowledge by disability did not affect significantly on emotion reactions.

• Knowledge Management Research
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• v.24 no.2
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• pp.185-209
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• 2023

The air travel industry, which had shrunk with COVID-19, is gaining wings again. Accordingly, this study investigated whether non-verbal communication factors experienced through interaction with airline flight attendants for passengers who have traveled abroad within the past year through domestic airlines affect customer engagement and brand intimacy. A total of 285 samples were collected, and SPSS 28 and AMOS 26 programs were used to verify the reliability and validity of the research tool, the suitability of the model, and hypotheses. As a result of the empirical study analysis, it was confirmed that Paralanguage and Proxemics in non-verbal communication of flight attendants had a significant effect on customer engagement. Although it is different from the results of previous studies following changes in perspective after COVID-19, it once again confirmed the importance of airline crew communication in providing face-to-face services at the interface with passengers. In order to induce customer engagement, which is a new customer satisfaction management index. In addition, it was confirmed that customer engagement has a significant effect on brand intimacy. These results support the view that it is necessary to establish new customer management indicators of emotion and relationship marketing in the existing marketing centered on price reduction or securing loyalty. It was confirmed that interactions with flight attendants can contribute to customer engagement, and these results have important implications for those working in the air transportation industry.

• Journal of Korea Water Resources Association
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• v.56 no.7
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• pp.439-449
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• 2023

Recent advancements in data measuring technology have facilitated the installation of various sensors, such as pressure meters and flow meters, to effectively assess the real-time conditions of water distribution systems (WDSs). However, as cities expand extensively, the factors that impact the reliability of measurements have become increasingly diverse. In particular, demand data, one of the most significant hydraulic variable in WDS, is challenging to be measured directly and is prone to missing values, making the development of accurate data generation models more important. Therefore, this paper proposes an adversarially trained autoencoder (ATAE) model based on generative deep learning techniques to accurately estimate demand data in WDSs. The proposed model utilizes two neural networks: a generative network and a discriminative network. The generative network generates demand data using the information provided from the measured pressure data, while the discriminative network evaluates the generated demand outputs and provides feedback to the generator to learn the distinctive features of the data. To validate its performance, the ATAE model is applied to a real distribution system in Austin, Texas, USA. The study analyzes the impact of data uncertainty by calculating the accuracy of ATAE's prediction results for varying levels of uncertainty in the demand and the pressure time series data. Additionally, the model's performance is evaluated by comparing the results for different data collection periods (low, average, and high demand hours) to assess its ability to generate demand data based on water consumption levels.

• Journal of Korea Water Resources Association
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• v.55 no.4
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• pp.257-266
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• 2022

Inundation damage is increasing every year due to localized heavy rain and an increase of rainfall exceeding the design frequency. Accordingly, the importance of hydraulic structures for flood control and defense is also increasing. The hydraulic structures are designed according to its purpose and performance, and the amount of flood is an important calculation factor. However, in Korea, design rainfall is used as input data for hydrological analysis for the design of hydraulic structures due to the lack of sufficient data and the lack of reliability of observation data. Accurate probability rainfall and its temporal distribution are important factors to estimate the design rainfall. In practice, the regression equation of temporal distribution for the design rainfall is calculated using the cumulative rainfall percentage of Huff's quartile method. In addition, the 6^th order polynomial regression equation which shows high overall accuracy, is uniformly used. In this study, the optimized regression equation of temporal distribution is derived using the variable selection method according to the principle of parsimony in statistical modeling. The derived regression equation of temporal distribution is verified through the significance test. As a result of this study, it is most appropriate to derive the regression equation of temporal distribution using the stepwise selection method, which has the advantages of both forward selection and backward elimination.