• Journal of Distribution Science
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• v.20 no.2
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• pp.43-53
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• 2022

Purpose: This research aims to provide solutions for human resource problems in public educational institutions to improve employee performance. Research design, data, and methods: The study used a quantitative approach with a survey method. Data were obtained through questionnaires and documentation. Meanwhile, the model used path analysis using Analysis Moment Structure (AMOS) software. Results: Results showed that there was a significant relationship between locus of control and redistribution variables on employee empowerment as well as on employee performance. This result implied that good management through the locus of control and employee redistribution in public organizations could be better to serve the community and organizations. Public change to be superior and demanded by the community to make it a good place to learn. Employees' good behavior and increasing competence can satisfy users of educational and sustainable institutions. Conclusion: To sum up, research on management development of locus of control and employee redistribution is needed to make public organizations, especially those engaged in education. This study provides academic implications by revealing that the locus of control factor and employee redistribution in public organizations are needed to improve institutional services.

• The Journal of Asian Finance, Economics and Business
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• v.9 no.2
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• pp.209-215
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• 2022

This study aims to analyze the livelihood resources and income diversification of informal recyclers in the Mekong River Delta (MRD). The multiple linear regression model was applied to determine income diversification and total household income with the sustainable livelihood analysis framework developed by the United Kingdom Department for International Development (2000), including human resources, physical resources, natural resources, financial resources, and social resources. The results indicated that up to 25% of itinerant waste buyers worked on average more than 7.3 hours/day, which was higher than the urban near-poor level regulated by the Vietnam government. The results of the regression model revealed that total households' income was affected by the factors of health status, gender, urban location type 1, the amount of potential savings, and informal credit participation, while the factors of health status, urban location, the amount of potential savings, and informal credit participation have the effect of diversifying farm household income. Thus, if the informal waste recycling sector is supported and regulated by proper government management, it will not only help poor households diversify their income, but it will also help poor households diversify their income, particularly women's income, which is vulnerable and lower than male income in the MRD.

• International Journal of Advanced Culture Technology
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• v.11 no.3
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• pp.302-309
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• 2023

This study aimed to develop a VR-based digital therapeutic intervention for the diagnosis and treatment of ADHD. The research combined medical data with virtual reality technology to develop an algorithm for ADHD diagnostic scales and implemented a VR-based digital therapeutic platform using a head-mounted display (HMD). This platform can be used for the diagnosis and treatment of ADHD in children and adolescents. Additionally, we four VR games were developed, including archery timing, Antarctic exploration, grocery shopping, and rhythm-based drumming(RBD), incorporating various psychiatric treatment techniques based on cognitive-behavioral therapy(CBT). To evaluate the usability of this digital therapeutic intervention, a group of experts specialized in counseling psychology participated in the study. The evaluations received highly positive feedback regarding the ability to access the system menu while wearing the HMD, the consistency of terminology used in menus and icons, the usage of actual size for 3D graphic elements, and the support for shortcut key functionality. The assessments also indicated that the games could improve attention, working memory, and impulse control, suggesting potential therapeutic effects for ADHD. This intervention could provide a daily treatment method for families experiencing financial constraints that limit hospital-based therapies, thereby reducing the burden.

• Journal of Distribution Science
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• v.21 no.4
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• pp.69-80
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• 2023

Purpose: In the landscape of global challenges, the adoption of new technologies and the implementation of intellectual capital are seen as the main vehicles to enhance banking operations. Inspired by this issue, our study is to discover the effect of technological investments and intellectual capital on one of the most important dimensions of banking operations, namely deposit intermediation. Research design, data and methodology: To tackle this concern, we utilize the data of 12 banks from 2011 to 2020 in Vietnam, and perform the multivariate regression analysis as well as provide different robustness tests. Results: Our empirical analysis demonstrates that a surge in technological expenditures would foster distribution of deposit intermediation of banks. Also, the blend of technology spending and intellectual capital plays a key role in boosting this function of banks. Conclusions: The study would bring one of new evidence for bank managers and national authorities in Vietnam, where has undergone the completely reform period in banking system. Accordingly, technological innovation and intellectual capital should be taken into consideration when managers and regulators build business strategies and related policies. The findings are also useful for nations bearing a close resemblance to Vietnamese financial system.

• International Journal of Advanced Culture Technology
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• v.11 no.1
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• pp.171-180
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• 2023

This study is to develop a performance analysis model for SMEs.Based on similar performance indicators through previous studies, performance indicators for SMEs were rewritten.Through the Korean Journal Citation Index (KCI), 75 related data were classified and a comprehensive SME performance analysis model was developed.Performance analysis was divided into two axes and classified into tables.The horizontal axis is the spatial performance range, which is divided into three areas: performance management by department/function, integrated performance management for the entire organization, and governance performance management requiring policy feedback. The vertical axis is subdivided into short-term, mid-term, and long-term by time and growth stage, and is divided into three parts: technical performance according to technological input, economic performance as organizational performance, and social performance for policy utilization. Then, performance indicators were mapped to each column. As a result of the survey, 28% of technical performance was analyzed as a result of frequency analysis, and performance indicators were organized into five categories: IT, R&D, certification, patent, and innovation. Economic performance was divided into 29%, BSC, HRD, logistics, production quality management, financial support, asset management, etc. 6 categories, social performance 43%, ESG, marketing, export, policy support, consulting, cooperation, etc. 7 categories.Limitations of the study include the narrowness of the survey that derived only performance indicators despite being a meta-analysis, and the performance model was mapped and classified according to growth stage and support period.however Insufficiency of validity due to lack of evidence, performance indicators were developed, but there were limitations in utilization for practical use.

• International Journal of Internet, Broadcasting and Communication
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• v.15 no.2
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• pp.81-88
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• 2023

As a result of this study, the income generation effect generatded by regional universities for the region is KRW 130.6 billion (direct and indirect income effect KRW 90.9 billion, induced income effect KRW 39.6 billion). In addition, it is estimated that the effect of regional universities on inducing employment in the region is 2,145 per year. Unless quality jobs are secured, the outflow of population to the metropolitan area will accelerate, and the disappearance of local areas will emerge as a social problem in the near future. Considering the effect of local universities on the local economy revealed through the results of this study, that is, the income and job creation effects, the government will be able to prevent local extinction by providing bold financial support to local universities. If it is difficult to afford it with government finances alone, it can be solved by opening the door to universities for admission through donations, which many advanced countries are introducing..

• Nuclear Engineering and Technology
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• v.55 no.2
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• pp.587-594
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• 2023

This study investigates the impacts of nuclear energy consumption on environmental quality from a different perspective by focusing on carbon dioxide (CO2) emissions, ecological footprint, and load capacity factor. In this context, the South Korea case, which is a leading country producing and consuming nuclear energy, is investigated by considering also economic growth, and the 1997 Asian crisis from 1977 to 2018. To this end, the study employs the autoregressive distributed lag (ARDL) approach. Different from previous literature, this study proposes a load capacity curve (LCC) and tests the LCC and environmental Kuznets curve (EKC) hypotheses simultaneously. The analysis results reveal that (i) the LCC and EKC hypotheses are valid in South Korea; (ii) nuclear energy has an improving effect on the environmental quality; (iii) renewable energy does not have a significant long-term impact on the environment; (iv) the 1997 Asian crisis had an increasing effect on the load capacity factor; (v) South Korea has not yet reached the turning point, identified as $55,411, where per capita income improves environmental quality. Overall, the results show the validity of the LCC and EKC hypotheses and prove the positive contribution of nuclear energy to South Korea's green development strategies.

• Advances in environmental research
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• v.12 no.1
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• pp.41-49
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• 2023

In developing countries, solid waste is typically disposed of inappropriately, which has a negative impact on the environment and healthcare. One of the most serious environmental issues is the management of municipal solid waste because of the huge increase in waste generation brought on by industrialization, economic development, urbanization, and the exponential growth of Gurugram City's population. Municipal Corporation Gurugram (MCG) handles solid waste collection, transportation, and disposal. The city generates over 1100 tons of solid waste per day. In consideration of this, the current study employed the strengths, weaknesses, opportunities, and threats framework called SWOT analysis to critically examine the city's current methods for the management of municipal solid waste to provide more effective policy solutions. For conducting the analysis, the questionnaires and other interviews were conducted to gather information from households and officials in the city, and the observation made during field visits were recorded. The analysis shows that the waste management issue is getting worse for a variety of causes, including a lack of regulatory enforcement, insufficient technical and financial resources, insufficient people's participation, inadequate execution of policies, a lack of political priorities, and poor coordination between authorities.

• The Journal of Industrial Distribution & Business
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• v.13 no.4
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• pp.1-14
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• 2022

Purpose: The purpose of the study is to explore the application of Augmented Reality (AR) technology to enhance interactivity and decision making via technology-enabled experience particularly, in the context of COVID-19. This study investigated effects of perceived utilitarian value, hedonic value, social value, and perceived risk on customer satisfaction with AR technology that are rarely examined in previous studies. Research design, data and methodology: Online survey data was used in the study. This study applied factor analysis and regression analysis to test the hypotheses and employed ANOVA and mediation effect analysis to explore additional findings. Results: The results suggested that customers' perceived usefulness, arousal, social preference, innovativeness, financial risk, and performance risk have statistically significant effect on customer satisfaction. Conclusions: The findings of the study provided managerial and policy implications to develop and advertise the introduction of AR technology with the emphasis on the practical and utilitarian benefits of the technology. The result of this study highlighted the importance of customer relationship management by providing advanced services to customers through AR technology. This study contributes to technology-enabled CRM literature by providing the empirical result to verify the assumption that AR technology can be an effective tool of firms' CRM strategy

• Educational Technology International
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• v.18 no.2
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• pp.159-191
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• 2017

Academic analytics guides university decision-makers to assign limited resources more effectively. Especially, diverse academic courses clustered by the usage patterns and levels on Learning Management System(LMS) help understanding instructors' pedagogical approach and the integration level of technologies. Further, the clustering results can contribute deciding proper range and levels of financial and technical supports. However, in spite of diverse analytic methodologies, clustering analysis methods often provide different results. The purpose of this study is to present implications by using three different clustering analysis including Gaussian Mixture Model, K-Means clustering, and Hierarchical clustering. As a case, we have clustered academic courses based on the usage levels and patterns of LMS in higher education using those three clustering techniques. In this study, 2,639 courses opened during 2013 fall semester in a large private university located in South Korea were analyzed with 13 observation variables that represent the characteristics of academic courses. The results of analysis show that the strengths and weakness of each clustering analysis and suggest that academic leaders and university staff should look into the usage levels and patterns of LMS with more elaborated view and take an integrated approach with different analytic methods for their strategic decision on development of LMS.