• Journal of Korean Society of Industrial and Systems Engineering
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• v.46 no.1
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• pp.1-14
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• 2023

This study is a leading case of empirical analysis of whether, when corporate stakeholders (government, investors, customers, managers, employees) put pressure on companies for ESG management, it affects the introduction and implementation of ESG activities (environmental, social, governance) and affects business performance. As for the research method, a sustainability report was published, and a web survey of Korea Research Inc. was conducted from May 10 to May 20, 2022 targeting ESG management managers of 192 companies, and analyzed through the PLS structural equation model. As a result of the study, it was found that the introduction and execution of ESG is closely influenced by the pressure from the government, investors, managers, and employees, and in particular, the internal pressure of current managers and executives and employees has a great impact on the introduction and implementation of environmental, social, and governance activities. In particular, although external pressure also has some influence, it is practical to suggest that strong internal pressure is necessary for continuous activities and performance. And, methodologically, the main activity indicators of the GRI Reporting Guidelines, which are the most representative ESG management indicators, were developed as a questionnaire, and reliability, validity, and model fit were secured through comparison with indicators of multiple systems and expert reviews. The limitations of this study are that more in-depth analysis by industry or size is possible when ESG management is mature and sufficient samples are secured, and complex ESG pressure factor modeling is possible when more diverse stakeholders are added.

• Journal of the Korean Society of School Health
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• v.29 no.2
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• pp.90-97
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• 2016

Purpose: The purpose of this study was to investigate the relationship between sleep timing and depressive mood in Korean adolescents. Methods: The study analyzed the data from the 2007~2015 Korea Youth Risk Behavior Web-based Survey. A total of 541,693 students in grades 7~12 were included in the final analysis. Multivariable logistic regression was used to examine their sleep timing and depressive mood, adjusted for sex, grade, region, socioeconomic status, academic performance, alcohol, smoking and physical activity. Sleep duration and sleep quality were also included in our model to identify whether or not the effect of sleep timing on depression is mediated by sleep duration or sleep quality. Results: The prevalence of depressive mood was 32.7% and the mean sleep timing was 12:13 AM. After adjustment for eligible covariates, the association between sleep timing and depressive mood showed a J-shaped curve. Adolescents who slept at 8 pm~10 pm were 39% more likely to be depressive (OR = 1.39, 95% CI 1.30~1.40) and at 3 am~ 4 am were 67% more likely to be depressive (OR=1.67, 95% CI 1.64~1.70) than adolescents who slept at 11 pm~12 am. These associations persisted after being adjusted for sleep duration and sleep quality. Conclusion: Sleep timing was related to depression in adolescents, independent of sleep duration and sleep quality. It appears that there is a certain sleep timing beneficial to mental health of adolescents.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.20 no.7
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• pp.562-570
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• 2019

This study examined the factors affecting the underweight of Korean adolescents using data from Korea youth risk behavior web-based survey, which are national health statistics. This is a second data analysis study using the 13th Korea youth risk behavior web-based survey. The subjects were 48,242 adolescents who range from the first-year middle school students to the third-year high school students. The measurement variables were classified into demographic, physical activity, dietary, and mental health characteristics. The collected data were analyzed by logistic regression analysis. The factors affecting the underweight of Korean adolescents were sex, school type, academic performance, economic level, physical activities, weight control efforts, ramen intake, confectionary intake, stress, and subjective sleep fulfillment rate. Based on the results of this study, we need to search for the measures to help underweight adolescents recover their proper weight.

• Journal of the Korean Society of School Health
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• v.31 no.3
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• pp.167-177
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• 2018

Purpose: This study examined the factors that affect suicidal ideation among Korean adolescents according to their family type. Methods: The data of the 2017 Korea Youth Risk Behavior Web-based Survey was used in this study. Out of 62,276, a total of 60,077 adolescents (51,367 adolescents from two-parent families and 8,710 adolescents from single-parent families) were included in the analysis. Results: This study demonstrated that the level of suicidal ideation of the adolescents in single-parent families was significantly higher than that of the adolescents in two-parent families. The factors that affect suicidal ideation among the two-parent family adolescents were gender, grade, economic status, academic performance, smoking, drinking, physical activity, subjective health status, subjective body image, subjective happiness, stress, and depression. The factors that affect suicidal ideation among the single-parent family adolescents included gender, grade, smoking, subjective health status, subjective happiness, stress and depression. Conclusion: Single-parent family adolescents are likely to have a higher level of suicidal ideation along with higher levels of depression and stress and lower levels of subjective health and happiness, compared to single-parent family adolescents. For this higher-risk group of suicidal ideation, more thoughtful attentions and proactive policies are needed to manage their mental health and stress in school and family situations.

• International conference on construction engineering and project management
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• 2022.06a
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• pp.230-237
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• 2022

It is difficult to predict industrial accidents in the construction industry because many accident factors, such as human-related factors and environment-related factors, affect the accidents. Many studies have analyzed the severity of injuries and types of accidents; however, there were few studies on the prediction of injured body parts. This study aims to develop a classification model to predict the part of the injured body based on accident-related factors. Construction accident cases from June 2018 to July 2021 provided by the Korea Construction Safety Management Integrated Information were collected through web crawling and then preprocessed. A naïve Bayes classifier, one of the supervised learning algorithms, was employed to construct a classification model of the injured body part, which has four categories: 1) torso, 2) upper extremity, 3) head, and 4) lower extremity. The predictor variables are accident type, type of work, facility type, injury source, and activity type. As a result, the average accuracy for each injured body part was 50.4%. The accuracy of the upper extremity and lower extremity was relatively higher than the cases of the torso and head. Unlike the other classifications, such as spam mail filtering, a naïve Bayes classifier does not provide a good classification performance in construction accidents. The reasons are discussed in the study. Based on the results of this study, more detailed guidelines for construction safety management can be provided, which help establish safety measures at the construction site.

• Journal of Internet Computing and Services
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• v.20 no.3
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• pp.69-75
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• 2019

The safety and performance of medical device software is managed through life-cycle processes, which represent the entire process of research and development (R&D). The life-cycle process of medical device software is represented by an international standard called IEC 62304, ISO/IEC 12207. In order to license the product, the manufacturer must have document artifacts that comply with the IEC 62304 standard. However, these standards only describe the content of the activity and do not provide a method or procedure for documentation. Therefore, this paper suggests R&D documentation guidelines that assist medical device software developers to have R&D documents conforming to the standards. For this purpose, this study identifies the requirements related to documentation among the requirements existing in the standard and extracts them in the form of guidelines showing only the core information of the requirements. In addition, through the Web framework implemented based on this research, the developer can evaluate whether the technical documents are written in accordance with the R&D document guidelines. Medical device software manufacturers can efficiently produce high-quality research and development documents through R&D documentation guidelines, and they can have standards-compliantresearch and development documentation required for licensing procedures.

• Journal of Digital Contents Society
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• v.15 no.2
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• pp.191-196
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• 2014

In this study, new self-initiated peer tutoring is suggested to computer graphic's subject. Subject of computer graphics is practice based subject, therefore learning efficiency and learning level of students is different from each other. To improve the learning efficiency and enhance the interest of related subject, new peer tutoring activities was performed with main class in 6 months (including vacation). We analyzed the results of tutoring activities and conducted survey tutees. Results of the analysis and the survey were shown that students (tutees) are satisfied with and interested in the class of computer graphics.

• Journal of Intelligence and Information Systems
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• v.23 no.3
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• pp.155-175
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• 2017

As social data become into the spotlight, mainstream web search engines provide data indicate how many people searched specific keyword: Web Search Traffic data. Web search traffic information is collection of each crowd that search for specific keyword. In a various area, web search traffic can be used as one of useful variables that represent the attention of common users on specific interests. A lot of studies uses web search traffic data to nowcast or forecast social phenomenon such as epidemic prediction, consumer pattern analysis, product life cycle, financial invest modeling and so on. Also web search traffic data have begun to be applied to predict tourist inbound. Proper demand prediction is needed because tourism is high value-added industry as increasing employment and foreign exchange. Among those tourists, especially Chinese tourists: Youke is continuously growing nowadays, Youke has been largest tourist inbound of Korea tourism for many years and tourism profits per one Youke as well. It is important that research into proper demand prediction approaches of Youke in both public and private sector. Accurate tourism demands prediction is important to efficient decision making in a limited resource. This study suggests improved model that reflects latest issue of society by presented the attention from group of individual. Trip abroad is generally high-involvement activity so that potential tourists likely deep into searching for information about their own trip. Web search traffic data presents tourists' attention in the process of preparation their journey instantaneous and dynamic way. So that this study attempted select key words that potential Chinese tourists likely searched out internet. Baidu-Chinese biggest web search engine that share over 80%- provides users with accessing to web search traffic data. Qualitative interview with potential tourists helps us to understand the information search behavior before a trip and identify the keywords for this study. Selected key words of web search traffic are categorized by how much directly related to "Korean Tourism" in a three levels. Classifying categories helps to find out which keyword can explain Youke inbound demands from close one to far one as distance of category. Web search traffic data of each key words gathered by web crawler developed to crawling web search data onto Baidu Index. Using automatically gathered variable data, linear model is designed by multiple regression analysis for suitable for operational application of decision and policy making because of easiness to explanation about variables' effective relationship. After regression linear models have composed, comparing with model composed traditional variables and model additional input web search traffic data variables to traditional model has conducted by significance and R squared. after comparing performance of models, final model is composed. Final regression model has improved explanation and advantage of real-time immediacy and convenience than traditional model. Furthermore, this study demonstrates system intuitively visualized to general use -Youke Mining solution has several functions of tourist decision making including embed final regression model. Youke Mining solution has algorithm based on data science and well-designed simple interface. In the end this research suggests three significant meanings on theoretical, practical and political aspects. Theoretically, Youke Mining system and the model in this research are the first step on the Youke inbound prediction using interactive and instant variable: web search traffic information represents tourists' attention while prepare their trip. Baidu web search traffic data has more than 80% of web search engine market. Practically, Baidu data could represent attention of the potential tourists who prepare their own tour as real-time. Finally, in political way, designed Chinese tourist demands prediction model based on web search traffic can be used to tourism decision making for efficient managing of resource and optimizing opportunity for successful policy.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.12 no.1
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• pp.248-254
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• 2011

As the demands of island tourism increasing, the importance of information is considered the key success factor of island tourism. This study suggest the several factors that affecting in island tourism based on the previous studies of tourism research domain. the Important Performance Analysis(IPA) that has much popularity in tourism research is used to evaluate the information characteristic and priority of island tourism in university students of Korea. Based on the result of this study, the information of the natural landscape/scenery and the sightseeing related activity have less priority than the facilities and local foodstuff of the specific island. Considering the aspects and levels of currently serviced island tourism information, differentiated information that including the facilities and local foodstuff of island have reasonable priority for establishing effective and efficient island tourism strategy.

• Korean Journal of Applied Biomechanics
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• v.30 no.2
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• pp.185-195
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• 2020

Objective: The purpose of this study was to identify recent domestic and international research trends regarding shoes carried out in biomechanics field and to suggest the direction of shoe research later. Method: To achieve this goal of research, the Web of Science, Scopus, PubMed, Korea Education and Research Information Service and Korean Citation Index were searched to identify trends in 64 domestic and international research. Also, classified into the interaction of the human body, usability evaluation of functional shoes, smart shoe development research, and suggested the following are the suggestions for future research directions. Conclusion: A study for the coordination of muscle activity, control of motion and prevention of injury should be sought by developing shoes of eco-friendly materials, and scientific evidence such as physical aspects, materials, floor shapes and friction should be supported. Second, a study on elite athletes in various sports is needed based on functional shoes using new materials to improve their performance along with cooperation in muscle activities and prevention of injury. Third, various information and energy production are possible in real time through human behavioral information, and the application of Human Machine Interface (HMI) technology through shoe-sensor-human interaction should be explored.