• Journal of Digital Convergence
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• v.17 no.5
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• pp.257-266
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• 2019

This study investigates convergent factors related with communication competency of some health majors students in studying for TOEIC. The questionnaire was used using an unregistered self-administered questionnaire for 280 health majors students in TOEIC class from college located in J area from November 1, 2018 to November 30, 2018. The hierarchical multiple regression analysis shows the following results. The communication competency of respondents turned out to be significantly higher in following groups: a group in which ego-resilience is higher, a group in which inkling is higher, and a group in which self-leadership is higher. The results show explanatory power of 57.0%. The results of the study indicate that the efforts, to increase ego-resilience, inkling and self-leadership are required to improve the communication competency among health majors students in studying for TOEIC. These results can be used to develop and operate educational resources and support programs that improve communication competency of health majors students in studying for TOEIC. Future research requires presentation and analysis of structural models considering factors affecting communication competency and correlation with TOEIC scores of health majors students in studying for TOEIC.

• Journal of Digital Convergence
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• v.17 no.4
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• pp.219-227
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• 2019

This study examined the convergent relationship of stress factors related to the depression level(CES-D) of a college student. The questionnaire was used using an unregistered self-administered questionnaire for 304 students from a college located in J area from Nov. 12, 2018 to Dec. 14, 2018. The hierarchical multiple regression analysis results are as follows: The depression level of respondents turned out to be significantly higher in following groups: a group in which job seeking stress(CMI) is higher, a group in which academic burnout(MBI-SS) is higher, a group in which anxiety(BAI) are higher. The results show explanatory power of 60.7%. The results of the study indicate that the efforts, to decrease job seeking stress, to decrease academic burnout and, to decrease anxiety, are required to decrease the depression level among college students. These results can be utilized in various interventional efforts for academic counseling and guidance, job counseling, and psychological and emotional stability that lowers the depression level in college students. Following studies requires the presentation and analysis of structural models for the structural model that effects the depression levels of college students.

• Journal of Digital Convergence
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• v.19 no.4
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• pp.141-149
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• 2021

The purpose of this study was to identify the intention to use of information and communication technology(ICT) for the elderly residing in community based on the theory of planned behavior. The subjects were 99 elderly aged 60 or older living in G and S cities from January 1 to 31 in 2020 using questionnaire. The data was analyzed using the SPSS 23.0 program for descriptive statistics, t-test, ANOVA, Pearson's correlation coefficient, multiple regression. As a result, the mean of the attitude to use of ICT for the elderly was 3.79±0.74, subjective norm was 3.43±0.66, perceived behavioral control was 3.12±0.71, behavior intention was 3.23±0.77. The intent to use of ICT for the elderly are subjective norm(β=.35, p<.001), perceived behavior control(β=.35, p<.001), had an explanatory power of 48.7%. Therefore, it is necessary that systematic program considering the above factors for elderly residing in community to promote the intent to use of ICT.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.22 no.2
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• pp.475-486
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• 2021

The purpose of this study was to propose a policy direction to improve the service of public bicycles in Seoul by identifying the physical characteristics that affect the satisfaction level in the Seoul Metropolitan Government's public bicycle use environment. To this end, a survey was conducted on users regarding their experiences using public bicycles in Seoul, and the responses of 567 people were analyzed. IPA analysis and ordinal logistic analysis were used. An analysis of the Seoul Metropolitan Government's public bicycle IPA showed that the satisfaction level was lower than that of importance in all categories. Among them, the most urgent need for improvement was the installation of bicycle roads, improved connectivity of bicycle roads, improved road management, classification of roads and bicycle roads, improved safety during night driving, and low satisfaction levels. Second, an analysis of the factors affecting the satisfaction in the public bicycle use environment showed that the model's explanatory power increased significantly from 0.062 to 0.437 after incorporating perceived variables, confirming that the perceived neighborhood environment characteristics are an important variable for determining the satisfaction level in the public bicycle use environment, among the perceived neighborhood environmental characteristics, accessibility, convenience, manageability.

• Journal of Digital Convergence
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• v.18 no.12
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• pp.377-387
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• 2020

The purpose of this study is a descriptive research study to identify the emotional labor, ethical climate, job satisfaction, and retention intention of nurses in general hospitals, and to identify the relationship between variables and factors influencing the retention intention. The study subjects were 198 nurses working in four general hospitals, and data were collected from September 18 to September 30, 2019 using a structured questionnaire. The collected data were analyzed by t-test, ANOVA, Pearson's correlation coefficients, and multiple regression using SPSS WIN 25.0. As a result of the study, there was a positive correlation between ethical climate(r=.345, p<.001) and job satisfaction(r=.388, p<.001), but emotional labor (r=-.153, p=.031) showed negative correlation. Factors influencing the retention intention of general hospital nurses are job satisfaction(β=.27, p=.001), age(β=.27, p<001), ethical climate(β=.16, p=044), and the explanatory power of the variable was 24.2%. In order to increase the retention intention of general hospital nurses, it is necessary to increase job satisfaction and create a sound ethical climate, and to develop an intervention program that can increase the retention intention by age.

• Journal of Digital Convergence
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• v.20 no.4
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• pp.469-482
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• 2022

The purpose of this study is to analyze regional variation factors of hypertension treatment rate in COVID-19 based on the analysis results based on ecological methodology. To this end, data suitable for ecological analysis were collected from the Korea Centers for Disease Control and Prevention's regional health statistics, local government COVID-19 confirmed cases, National Health Insurance Corporation, Health Insurance Review and Assessment Service's welfare statistics, and Korea Transport Institute's traffic access index. Descriptive statistics and correlation analysis were conducted using SPSS Statistics 23 for regional variation and related factors in hypertension treatment rate, and geographical weighted regression analysis was conducted using Arc GIS for regional variation factors. As a result of the study, the overall explanatory power of the calculated geo-weighted regression model was 27.6%, distributed from 23.1% to 33.4% by region. As factors affecting the treatment rate of hypertension, the higher the rate of basic living security medical benefits, diabetes treatment rate, and health institutions per 100,000 population, the higher the rate of hypertension treatment, the lower the number of COVID-19 confirmed patients, the lower the rate of physical activity, and the alcohol consumption. Percentage of alcohol consumption decreased due to COVID-19 pandemic. It was analyzed that the lower the ratio, the higher the treatment rate for hypertension. Based on these results, the analysis of regional variables in the treatment rate of hypertension in COVID-19 can be expected to be effective in managing the treatment rate of hypertension, and furthermore, it is expected to be used to establish community-centered health promotion policies.

• Journal of Digital Convergence
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• v.20 no.5
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• pp.877-884
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• 2022

This study was attempted to investigate the effects of psychological safety and physical self-concept on ego-resilience of nursing students. This data collected from September to November 2021 through a structured questionnaire from 166 nursing students at M University in Jeolla Southern Province. For data processing, descriptive statistics, t-test, ANOVA, Scheffe test, Pearson's correlation analysis, and multiple regression analysis were performed using the SPSS 23.0 program. As a result of this study, there were significant positive correlations in the self-resilience of nursing students with psychological stability and physical self-concept(r=.480, p<.001, r=.426, p<.001). The factors affecting the ego-resilience of nursing students were psychological safety(β=0.352, p<.001) and physical self-concept (β=0.236, p<.001), and the explanatory power was 26%. As a result of this study, it is necessary to increase psychological safety and physical self-concept in order to increase the ego-resilience of nursing students. It is necessary to develop and apply guide programs that enhances psychological stability for nursing students, and to provide education and facilities so that they can have a healthy body and mind, not only academics.

• Journal of Digital Convergence
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• v.20 no.5
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• pp.401-410
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• 2022

This study deals with the relationship among trust, attachment and brand loyalty of agricultural products' rice co-brands, which are the staple food of the people. The research method established the hypothesis of the study under the foundation of prior research and developed the survey. The subjects of the study were distributed, retrieved, and analyzed the survey of 163 rice farmers in Buyeo-gun, Chungcheongnam-do. The empirical analysis results show that: First, hypothesis 1 of the brand awareness and image that "rice brand assets will be a positive relationship to trust" were statistically adopted. In particular, statistical t values showed a difference in consumer confidence over recognition>images. Second, hypothesis 2 of the trust of agricultural rice brands will be a positive influence on attachment and loyalty' statistically supported. In this regard, brand trust was higher in loyalty than attachment. Third, the attachment of agricultural products to rice brands will be a positive influence on loyalty,' was statistically supported. The strategic implications of this study are as follows. First, consumers should be given clues of trust(ex, GAP of Natioanl Approval Licesing, Fam Tour) as they distrust the perceived quality of the rice in the market. Second, the effect of the origin of rice is questionable, so the spread of the production power system should prevent the mixing of rice varieties, that is the spread of the production history systems.

• Journal of Korea Society of Industrial Information Systems
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• v.14 no.5
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• pp.289-296
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• 2009

All over the world more and more attention is being paid to green management which enables environment-friendly sustainable development. To keep up with these global trends and in response to the government's "low carbon green growth" policy, many efforts are being made in the port and logistics in order to drastically reduce carbon emissions and save operating expenses. To this end, the engine power source of the cranes in the container terminal is being replaced with electricity from fossil fuel. Among those cranes, especially e-RTGC has been proved to be practical and excellent in its performance through many previous studies. However, no empirical study has yet been made on its introduction effects when e-RTGC has been introduced to the container terminal. In the meantime, however, many domestic container terminals have introduced e-RTGC, and so some data have been accumulated for further research. Under these circumstances, this study has tried to make an empirical study through the case study of D container terminal, checking the restriction factors to be considered at the time of eURTGC introduction, and analyzing its introduction effects and problems. We have high expectations that this study will provide key consideration factors and empirical analysis data to the decision makers who plan to introduce an e-RTGC system, and also will be used as a reference to the development direction of e-RTGC.

• Journal of the Korean Society of Marine Environment & Safety
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• v.29 no.5
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• pp.435-444
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• 2023

Suitable environmental conditions in Saemangeum frequently favor phytoplankton growth. There have been occurrences of sudden phytoplankton blooms, surpassing the algae management standards. A model was designed to prevent such blooms using scientific predictive techniques to forecast and regulate the possibility of phytoplankton blooms. We propose effective and efficient algae control measures concerning every phytoplankton species optimized through the policy control of nutrients (DIN, PO4-P) from rivers and controlling lake salinity using gate operations. The probability of phytoplankton blooms was initially forecast using an artificial neural network algorithm based on observations. The model's Kappa number fluctuated from 0.7889 to 1.0000, indicating good to excellent predictive power. The Garson algorithm was then utilized to assess the significance of explanatory variables for every species. Meanwhile, the probability of phytoplankton blooms was anticipated depending on the DIN and salinity value changes. Therefore, the model predicted the precise DIN and salinity concentrations to inhibit phytoplankton blooms for each species. Hence, the green algae model can create effective proactive measures to avoid future phytoplankton blooms in enormous artificial lakes.