• Journal of Industrial Convergence
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• v.21 no.12
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• pp.141-151
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• 2023

This study aimed to investigate the influence of learning flow, career decision-making self-efficacy, and major satisfaction on career preparation behaviors among nursing students. Data were collected by questionnaire from 15th September 2022 to 14th October 2022, from 208 nursing students at universities in provinces the G and J. And the data answered to the questionnaire were analyzed by descriptive analysis, t-test, One-way ANOVA, Pearson's correlation, and Stepwise Regression Analysis. As a result of this study, career preparation behaviors was analysed based on learning flow (r=.515, p<.001), career decision-making self-efficacy (r=.681, p<.001) and major satisfaction (r=.621, p<.001). The results of the multiple regression analysis showed that the influential factors on career preparation behaviour were career decision-making self-efficacy (𝛽=.446, p<.001), major satisfaction (𝛽=.285, p<.001), third grade (𝛽=.157, p=.001), learning flow (𝛽=.133, p=.018), and second grade (𝛽=.106, p=.038), and the explanatory power of the career preparation behavior was 57.0%. Therefore, there is a need to provide customised education through a career programme that takes into account the career path chosen by nursing students.

• Journal of Industrial Convergence
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• v.22 no.4
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• pp.31-38
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• 2024

The purpose of this study was to examine the current status of elderly sports both domestically and internationally, and to explore strategies for the activation of Silver Taekwondo as one of the sports disciplines for the elderly. To investigate the status of elderly sports globally, press releases and statistical data from various national public institutions and sports facilities (including the Ministry of Culture, Sports and Tourism, the Ministry of Health and Welfare, the Korean Statistical Information Service, e-National Indicators, and the Korea Sports Promotion Foundation) were collected. Comparative analysis with related papers, journals, and books led to the following findings for activating Silver Taekwondo. Firstly, elderly sports in South Korea are primarily conducted through welfare centers, with a preference for dance, yoga, and music, while martial arts, including Taekwondo, had a lower preference rate. To increase participation in Silver Taekwondo, a variety of marketing approaches, similar to those used internationally, such as experiential case studies in media, film production, distribution, and telephone promotions, are necessary. Secondly, the development of Silver Taekwondo programs tailored to the training targets and the cultivation of instructors capable of executing these programs are needed. The development of programs should involve collaboration with Taekwondo institutions, dojangs, universities, and lifelong education centers, requiring the participation of majoring students and elderly sports instructors.

• Journal of Korea Society of Industrial Information Systems
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• v.29 no.1
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• pp.135-144
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• 2024

In this study, we propose an automatic classification model for quantitative multidimensional analysis based on facet theory to understand public opinions and demands on major issues through big data analysis. Civil complaints, as a form of public feedback, are generated by various individuals on multiple topics repeatedly and continuously in real-time, which can be challenging for officials to read and analyze efficiently. Specifically, our research introduces a new classification framework that utilizes facet theory and political analysis models to analyze the characteristics of citizen complaints and apply them to the policy-making process. Furthermore, to reduce administrative tasks related to complaint analysis and processing and to facilitate citizen policy participation, we employ deep learning to automatically extract and classify attributes based on the facet analysis framework. The results of this study are expected to provide important insights into understanding and analyzing the characteristics of big data related to citizen complaints, which can pave the way for future research in various fields beyond the public sector, such as education, industry, and healthcare, for quantifying unstructured data and utilizing multidimensional analysis. In practical terms, improving the processing system for large-scale electronic complaints and automation through deep learning can enhance the efficiency and responsiveness of complaint handling, and this approach can also be applied to text data processing in other fields.

• Journal of Industrial Convergence
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• v.22 no.5
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• pp.57-67
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• 2024

This study conducted to confirm the effect of college students' individual tendencies and psychological variables on the depth of chest pressure during CPR. For this, the depth of chest compression during CPR was measured after investigating individual tendencies, fatigue, performance confidence, and performance anxiety in 127 college students. Multiple linear regression analysis was performed using individual propensity and psychological variables as independent variables and chest compression depth as dependent variables to identify factors affecting chest compression depth. Pearson correlation analysis was performed to confirm the correlation between variables. As a result of the analysis, the higher the performance confidence, the deeper the chest compression depth, and the higher the performance anxiety, the lower the chest compression depth(p<0.05). The depth of chest pressure showed a positive correlation with individual tendencies, performance confidence, while it showed a negative correlation with fatigue and performance anxiety(p<0.01, p<0.05). Based on these results, it is necessary to increase performance confidence and lower performance anxiety in order to perform the correct chest compression depth. For this, various efforts such as program development, education and research are required.

• Journal of Industrial Convergence
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• v.22 no.6
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• pp.107-120
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• 2024

This study aimed to identify factors associated with metabolic abnormalities in non-obese and obese postmenopausal women based on biopsychosocial model. Secondary data analysis was conducted using data from 5,335 postmenopausal women who participated in the Korean National Health and Nutrition Examination Survey (2015-2021). According to logistic analysis with applying a complex simple analysis in SPSS 26.0, biomedical (increased age; a family history of hypertension, type 2 diabetes, dyslipidemia, and cardiovascular diseases) and biosocial factors (low educational level) were associated with 1-2 metabolic abnormalities and metabolic syndrome, regardless of adiposity. Additionally, low familial socioeconomic status and prolonged sedentary behaviors were the biosocial and psychosocial factors associated with metabolic syndrome regardless of adiposity. Finally, insufficient physical activity was associated with metabolic syndrome in obese postmenopausal women. Based on these results, tailored strategies should be developed considering the significant factors associated with metabolic abnormalities and adiposity in postmenopausal women.

• The Journal of the Convergence on Culture Technology
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• v.10 no.2
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• pp.517-524
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• 2024

This study aims to train and implement a deep learning model for the fusion of website creation and artificial intelligence, in the era known as the AI revolution following the launch of the ChatGPT service. The deep learning model was trained using 3,000 collected web page images, processed based on a system of component and layout classification. This process was divided into three stages. First, prior research on AI models was reviewed to select the most appropriate algorithm for the model we intended to implement. Second, suitable web page and paragraph images were collected, categorized, and processed. Third, the deep learning model was trained, and a serving interface was integrated to verify the actual outcomes of the model. This implemented model will be used to detect multiple paragraphs on a web page, analyzing the number of lines, elements, and features in each paragraph, and deriving meaningful data based on the classification system. This process is expected to evolve, enabling more precise analysis of web pages. Furthermore, it is anticipated that the development of precise analysis techniques will lay the groundwork for research into AI's capability to automatically generate perfect web pages.

• Journal of the Economic Geographical Society of Korea
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• v.27 no.1
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• pp.18-37
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• 2024

This study examines migrant workers' occupational health and safety issues through a case study of the UK construction industry, focusing on structural vulnerabilities. Migrant workers are at the bottom of the hierarchically fragmented labour market, performing outsourced hazardous work. Structural vulnerability focuses on the social structures that create hierarchies and increase risk in the workplace, rather than on individual responsibility or 'cultural' differences of migrant workers. The study considers the structural factors that perpetuate the migrantisation of risk in the UK construction industry, focusing on the structural necessity of low-wage migrant labour, precarious employment and the legal status of migrant workers, and discusses how these three factors interact to increase migrant workers' vulnerability to health and safety. The migrantisation of risk is not only a matter of occupational health and safety or universal workers' compensation, but also of the intertwining of labour migration policies with employment structures that rely on low-wage, low-skilled labour. This calls for proactive measures to address structural risks that go beyond passive declaratory policies that do not exclude migrant workers from education, training or legal systems.

• Journal of the Korean Applied Science and Technology
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• v.40 no.6
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• pp.1498-1505
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• 2023

This study attempted to investigate the difference in service orientation according to the individual characteristics of hair salon workers, and to identify the internal marketing factors of hair salon that influence service orientation. Questionnaires for empirical research were collected from hair salon workers in Gyeongnam, and the results of analyzing the collected questionnaires through IBM SPSS Statistics 26 are as follows. First, as a result of analyzing the difference in service orientation according to the individual characteristics of hair salon workers, the '40s or older' group and the 'working period of 10 years or longer' group showed statistically higher service orientation than other groups. Second, as a result of analyzing the causal relationship between internal marketing and service orientation, it was found that welfare, compensation system, education and training of internal marketings had the statistical effect on service orientation, and in particular, the compensation system had the strongest effect on service orientation. Therefore, service orientation for customers should be improved through internal marketing activities that take into account the individual characteristics of hair salon workers. The improvement of service orientation means the customer's intention to reuse, suggesting that ultimately the management performance of hair salon companies can be further improved.

• Journal of Industrial Convergence
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• v.22 no.3
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• pp.101-110
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• 2024

This study was conducted to confirm the relationship between perception of patient safety culture, critical thinking propensity, and practice of standard precaution among nurses in small and medium-sized hospitals. The research subjects were nurses from three small and medium-sized hospitals located in S City and C City who understood the purpose of the study and agreed to participate. The final study subjects were 158 nurses. The data were collected from January 5, 2020 to March 31, 2020, and descriptive statistics, t-test, one-way ANOVA, correlation, regression analysis, and Sobel test of the collected data were performed using SPSS/WIN26.0 Program. As a result of the study, nurses' practice of standard precaution showed a significant positive correlation with perception of patient safety culture (r=.524, p<.001) and critical thinking disposition (r=.471, p<.001). Critical thinking propensity was found to have a partial mediating effect in the relationship between perception of patient safety culture and practice of standard precaution. Based on the results of this study, repeated research can be conducted in the future, and can be used to develop and apply educational programs that can improve nurses' practice of standard precaution.

• Journal of Korean Library and Information Science Society
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• v.55 no.1
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• pp.99-122
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• 2024

The purpose of this study is to analyze domestic academic library development plans, check whether key components are reflected, and seek ways to improve the establishment of academic library development plans. To this end, a rubric evaluation technique derived from research related to evaluation of foreign universities and libraries was used. The libraries of the top 15 domestic universities were selected by referring to the QS World University Evaluation and THE World University Evaluation as the subjects of the study, and how much the core components of the development plan were reflected were evaluated. The results of the study are as follows. First, as a result of evaluating the university library development plan, most of the contents of 'purpose', 'goal', and 'action plan' were reflected, but vulnerabilities were found in 'mission' and 'vision'. Second, some private academic libraries were moving toward strategic planning at the level of advanced countries, including all of the core components. Third, although most academic libraries specified 'purpose', it showed limitations due to perfunctory description and connection. In the comprehensive evaluation, out of the highest score of 15, 12 were good and 3 were poor, indicating that the development plans of domestic academic libraries were generally at a 'good' level. As an improvement measure, it was suggested to form a task force for development plan establishment, to disclose and promote development plans, and to strengthen education on development plans for librarians.