• Journal of Korean Society of Rural Planning
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• v.27 no.3
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• pp.1-9
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• 2021

It is important for residents to give opinions and participate in urban regeneration projects. Urban regeneration college is being operated to strengthen the capacity of residents. In this study, the educational satisfaction of the students was surveyed while conducting the program of urban regeneration college. By analyzing survey, we intend to derive implications when constructing an urban regeneration college education program. The survey was conducted on 215 students from urban regeneration college in y-gun. Analysis was performed using the spss24.0 program. As a result of factor analysis, it was classified into three factors: education design, education culture, and education support. All three factors had significant differences in educational satisfaction. Satisfaction with education had a significant effect on the possibility of village development. Satisfaction was different according to the contents of the educational program according to the awareness of urban regeneration. For those who are aware of urban regeneration, educational culture among educational programs has more influence on educational satisfaction. Those who were not aware of urban regeneration had an effect on education support and education satisfaction. The results of this study can be used as basic data when planning educational programs for urban regeneration college.

• The Journal of Asian Finance, Economics and Business
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• v.8 no.3
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• pp.1021-1034
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• 2021

The study investigates and measures the impact of the emotional intelligence orientation on audit sustainability in Vietnam. Survey data for this research were collected from 260 auditors (CPAs) currently working in auditing firms, for the period from April 2020 to July 2020. In this study, we have built a model with two dependent variables (Emotional intelligence orientation and Audit sustainability) and six independent variables (Proactive audit vision, Continuous audit development, Dynamic audit experience, Audit environmental change, Stakeholder expectation pressure, Advocacy culture). The research methods used include Cronbach's Alpha test, exploratory factor analysis (EFA), confirmation factor analysis (CFA) and linear structural model analysis (SEM). The results showed that (1) Proactive audit vision, (2) Continuous audit development, (3) Dynamic audit experience, (4) Audit environmental change, (5) Stakeholder expectation pressure are positively related to emotional intelligence orientation. However, Advocacy culture is not positively related to Emotional intelligence orientation. The findings of this study suggest that emotional intelligence orientation positively impacts audit sustainability (similar to the findings by Thapayom, Ussahawanitchakit, & Boonlua, 2017, 2018 in Thailand). The results of this study provide a scientific basis for managers at auditing firms to make appropriate decisions to improve auditing activities in the coming years.

• Journal of Information Technology Applications and Management
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• v.28 no.3
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• pp.109-125
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• 2021

For the government of president Moon's AI SW HRD policy, he proclaimed AI democracy that anyone can utilize artificial intelligence technology to spread AI education for the people of the country. Through cognitive map analysis, this study presents expected policy outcomes due to the input of policy factors to overcome crisis factors and utilize opportunity factors. According to the cognitive guidance analysis, first, the opportunity factor is recognized as accelerating the digital transformation to Covid 19 if AI SW HRD is well nurtured. Second, the crisis factor refers to the rapid paradigm shift caused by the intelligence information society, resulting in job losses in the manufacturing sector and deepening imbalance in manpower supply and demand, especially in the artificial intelligence sector. Third, the comprehensive cognitive map shows a circular process for creating an AI SW ecosystem in response to threats caused by untact caused by Corona and a circular process for securing AI talent in response to threats caused by deepening imbalance in manpower supply and demand in the AI sector. Fourth, in order to accelerate the digital circulation that has been accelerated by Corona, we found a circular process to succeed in the Korean version of digital new deal by strengthening national and corporate competitiveness through AI-utilized capacity and industrial and regional AI education. Finally, the AI utilization empowerment strengthening rotation process is the most dominant of the four mechanisms, and we also found a relatively controllable feedback loop to obtain policy outputs.

• Journal of Korean Public Health Nursing
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• v.36 no.1
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• pp.107-123
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• 2022

Purpose: This study was done to develop and test a scale to measure the homeboundness for low-income aged who live in the community. Methods: This was nursing methodology research. Homeboundness Scale development process was composed of construct identification based on concept analysis using the Hybrid model, 35 initial items. This number was reduced to 31 items through face validity tests by 7 experts. The preliminary Homeboundness Scale for low-income aged was administered to 240 aged who registered and received visiting health care service in the community health center located in S city. Data were analyzed using item analysis, factor analysis, Pearson correlation coefficients, and Cronbach's alpha. Results: Twenty-two items were selected for the final scale. Three factors evolved from the factor analysis, which explained 66.0% of the total variance. The internal consistency, Cronbach's alpha, was .945 and reliability of the subscales ranged from .890 to .934. Conclusion: Homeboundness Scale demonstrated acceptable validity and reliability. It can be used to assess the Homeboundness of the low-income aged in practice and research.

• The Journal of Information Systems
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• v.31 no.2
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• pp.45-62
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• 2022

Purpose Smart farms play a leading role in changing the safety food culture for the citizens. The purpose of this study is to investigate the factors that are important to covid 19-response in the case of ICT smart farm. To do so, we classified the factors as operating effect aspect and industrial wave effect aspect of the smart farm. Design/methodology/approach This study was conducted by visiting Geumsan County, which is attempting to perform a smart farm. Through interviewing farmers representatives based on their operational effect expectations on the smart farm, we derived the industrial crash effect factors and thereafter designed the research model. This study applied AHP, which is an expert decision-making method cans be used to measure relative importance for determining priorities. After interviewing the experts with smart farm, we obtained the factors which are important to smart farm development. Findings According to analysis, the productivity improvement factor was ranked as the most important among the operational effect items. This is consistent with the ultimate goal of smart farms with ICT convergence technology, which is increase the profitability of agriculture. The second place is the factor in the development of infrastructure and infrastructure, and the third and fifth positions were export expansion, environmentally friendly management, and job creation in terms of operational effectiveness.

• Nuclear Engineering and Technology
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• v.53 no.5
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• pp.1652-1657
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• 2021

Nuclear materials can be utilized not only for peaceful uses, but also for military purposes; hence, the international community has devoted itself to the control, management and safeguarding of nuclear materials. Nuclear materials are of varying degrees of usability for development of nuclear weapons. Thus, several methods for assessing the attractiveness of nuclear materials for nuclear weapons purposes have been proposed. When these methods are applied to unirradiated depleted, natural, and low-enriched uranium (DU, NU, and LEU), they are certainly classified as non-attractive nuclear materials. However, when nuclear material attractiveness is to be evaluated for potential radiological dispersal device (RDD) uses, it is required to develop a different method for the different aspects and factors. In the present study, we derived a novel method for evaluating nuclear material attractiveness for use in RDD development. To this end, the specific activity and dose coefficient were identified as the two sub-factors, and, in consideration of those, the mass causing detrimental health effects was determined to be the main factor impacting on nuclear materials attractiveness. Based on this factor, the attractiveness of unirradiated DU, NU, and LEU for RDD use was qualitatively compared with that of ¹³⁷Cs.

• Smart Structures and Systems
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• v.29 no.4
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• pp.523-533
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• 2022

A novel metaheuristic search method, namely black widow optimization (BWO) is employed to increase the accuracy of slope stability analysis. The BWO is a recently-developed optimizer that supervises the training of an artificial neural network (ANN) for predicting the factor of safety (FOS) of a single-layer cohesive soil slope. The designed slope bears a loaded foundation in different distances from the crest. A sensitivity analysis is conducted based on the number of active individuals in the BWO algorithm, and it was shown that the best performance is acquired for the population size of 40. Evaluation of the results revealed that the capability of the ANN was significantly enhanced by applying the BWO. In this sense, the learning root mean square error fell down by 23.34%. Also, the correlation between the testing data rose from 0.9573 to 0.9737. Therefore, the postposed BWO-ANN can be promisingly used for the early prediction of FOS in real-world projects.

• Korean Journal of Childcare and Education
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• v.19 no.6
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• pp.1-19
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• 2023

Objective: The aim of the present study was to develop and validate a recognition scale for childcare teachers' rights. Methods: Statistical methods for data analysis involved the use of SPSS 20.0 and AMOS 20.0. To confirm the reliability and validity of the developed scale, various analyses, including item quality assessment, item discrimination, exploratory factor analysis, confirmatory factor analysis, and Pearson correlation analysis, were conducted. The maximum likelihood estimation method was employed for model fitting. Goodness of fit was assessed using SRMR, RMSEA and its 90% confidence interval, CFI, and TLI. Through these analyses, the scale's reliability and validity exceeded the standard. Consequently, 5 factors and 30 questions were ultimately selected as the recognition scale for childcare teachers' rights. Results: First, a recognition scale for childcare teachers' rights was developed to reflect changes in childcare settings. Second, an objective measurement was incorporated into the recognition scale of childcare teachers' rights. Third, the analysis using the proposed scale revealed a correlation between the recognition of childcare teachers' rights and life satisfaction. Conclusion/Implications: The study developed a scale capable of objectively measuring the recognition of childcare teachers' rights.

• Journal of Korean Academy of Rural Health Nursing
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• v.19 no.1
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• pp.1-11
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• 2024

Purpose: This study develops a health literacy instrument for Alzheimer's disease. Methods: Items were drawn from The Korean version of the Alzheimer's Disease Knowledge Scale (ADKS) and the Korean version of European Health Literacy Survey Questionnaire (HLS-EU-Q47 & HLS-EU-Q16). Content validity was tested by experts. To further refine the questionnaires and test their reliability and validity, data were collected from 324 older adults in the community. Results: Five significant items in the two subscales were derived from the factor analysis. The subscales were named access and understanding. Reliability was good at Cronbach's ⍺ .79, and validity through exploratory factor analysis was KMO .897, p<.001, which was found to be high and significant. Conclusion: The instrument demonstrated high reliability and validity. Therefore, this instrument can contribute to the evaluation of health literacy for Alzheimer's Disease in older adults and to any subsequent intervention, as well as to develop a theory for health literacy for Alzheimer's Disease.

• Asian Journal of Business Environment
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• v.14 no.2
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• pp.1-10
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• 2024

Purpose: The purpose of this study is to investigate the essential factors contributing to the growth and success of smart cities, providing a comprehensive analysis of key elements that are crucial in fostering the development of smart cities. This study explored the impacts of technology-driven applications, corporate involvement, the role of experts, citizen co-creation, city-led strategy governance, and sustainable urban practices on overall attitudes towards smart cities. Additionally, the study examined the impact of overall attitude on the growth trajectory of the smart cities and satisfaction. Research design, data and methodology: To collect data, this study employed an online survey conducted by a reputable research organization. Data analysis involved the use of factor analysis, ANOVA, and regression analysis. Results: This study unveiled significant impacts of technology-driven applications, corporate involvement, the role of experts, citizen co-creation, city-led strategy governance, and sustainable urban practices on the overall attitudes. Furthermore, it demonstrated that the overall attitude significantly influences the growth trajectory of smart cities. Conclusions: This study identified key driving factors for smart city development, suggesting that the consideration of sustainable urban practices emerges as the most significant factor influencing the growth of the smart cities.