• Journal of Korea Society of Digital Industry and Information Management
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• v.8 no.3
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• pp.171-183
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• 2012

This study intends to find a solution through the activation of community business as a business as a business model of the creation of real satisfaction for the region's residence. In this study focuses on finding out how community building project, which is recently emerging as a new paradigm of regional development. In the past, we have lived community units, but nowadays many communities have been destroyed by the capitalization and the urbanization even in the rural area. This report studies essential elements needed for successful 'Rural Community Business' through case studies of 'Dandelion Village' in Gyoengsangnamdo. In order to do so, we analyzed this villages according to a theoretical 'Sustainable Community Business Model.' We constructed successful business model of 'Rural Community Business' based on six groups - 'Community Leader,' 'Teamwork,' 'Sustainable Population Influx,' 'Sustainable Voluntary Participations of Community Members,' and 'Sustainable Networking.

• Journal of Digital Convergence
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• v.15 no.2
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• pp.335-345
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• 2017

It is necessary for an instructor to understand the student's team building behavior for an effective guidance of team activities. In this study, we developed an agent-based computational model for simulating the student's self-controlled behavior. We validated the model by comparing the actual behavior. Through the simulation, we found that the time to stabilization of team formation and the ratio of the students having no team are decreasing as the population of the student increases. However, we also found that over a certain amount of population, the time and the ratio do not show much progress in the difference. The simulation also shows that the more heterogeneity between the students the higher chance of delaying the team formation and increasing the ratio. We expect to use the model as a tool for guiding and supporting students' team activities.

• Journal of Contemporary Eastern Asia
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• v.21 no.2
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• pp.47-68
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• 2022

Micro, Small, and Medium Enterprises (East Java, Indonesia) are one of the businesses that drive developing nations' economies with various challenges, particularly in finance and digitalization. The impact of financial literacy and the use of digitalization can affect the recording and reporting of company performance. This is quantitative research, and the population in this research is SMEs in East Java, with 401 SMEs from various businesses for the sample used. This research uses the primary data method of SMEs in East Java with the Structural Equation Model as a data analysis tool. The results showed a significant relationship between financial literacy and financial performance, and digital literacy was based on financial performance. However, digital literacy could not moderate financial literacy with the financial performance of East Java SMEs. Much of the untapped potential in this study was adopted from financial governance and digitalization. It is hoped that the subsequent study will examine other phenomena on the variables used in the post-pandemic.

• International Journal of Advanced Culture Technology
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• v.10 no.4
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• pp.28-38
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• 2022

Virtual idols have aroused wide attention as a novel product of the idol industry in the digital era over the past few years. The population of China determines that virtual idols have a huge fan market. As a digital cultural product closely connected with fans, virtual idols are im-portant to gain insights into the correlation between fan satisfaction and virtual idol functions. In accordance with the KANO demand model, this study first classifies and explains the specific functions of virtual idols into four quadrants, including attractive, must-be, 1D (One-Dimensional), and indifferent. Subsequently, the satisfaction of fans of virtual idols with specific functions in each quadrant are analyzed using a questionnaire. This study suggests that virtual idols have one at-tractive quality, three 1D quality, two must-be quality, and five indifferent quality functional elements. This study qualitatively analyzes the functional elements of virtual idols through fan satisfaction based on the KANO model, which provides valuable help for future research in the field of virtual idols and producers in this field.

• Journal of Korea Society of Digital Industry and Information Management
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• v.17 no.1
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• pp.109-115
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• 2021

The number of freshmen at universities is decreasing due to the recent decline in the school-age population, and the survival of many universities is threatened. To overcome this situation, universities are seeking ways to use big data within the school to improve the quality of education. A study on the prediction of dropout students is a representative case of using big data in universities. The dropout prediction can prepare a systematic management plan by identifying students who will drop out of school due to reasons such as dropout or expulsion. In the case of actual on-campus data, a large number of missing values are included because it is collected and managed by various departments. For this reason, it is necessary to construct a model by effectively reflecting the missing values. In this study, we propose a university student dropout prediction model based on eXtreme Gradient Boost that can be applied to data with many missing values and shows high performance. In order to examine the practical applicability of the proposed model, an experiment was performed using data from C University in Chungbuk. As a result of the experiment, the prediction performance of the proposed model was found to be excellent. The management strategy of dropout students can be established through the prediction results of the model proposed in this paper.

• Journal of Digital Convergence
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• v.13 no.7
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• pp.169-175
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• 2015

An effective way to understand the dynamic and time series that follows the passage of time, as valuation is to establish a model to analyze the phenomena of the system. Model of the decision process is efficient clustering information of the total mass of the time series data of the relevant population been collected in a particular number of sub-groups than to look at all a time to an understand of the overall data through each community-specific model determination. In this study, a sub-grouping of the group and the first of the two process model of each cluster by determining, in the following in sub-population characterized by a fusion with heuristic Bayesian clustering techniques proposed a process which can reduce calculation time and cost was confirmed by experiments using actual effectiveness valuation.

• Asian Journal for Public Opinion Research
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• v.5 no.3
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• pp.204-227
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• 2018

This paper seeks to interrogate the very assumption of "sociality" in social media at a conceptual level and substantiate it with the help of information collected on aged people's use of conventional media $vis-{\grave{a}}-vis$ so called "social media" from the field work. Although global literature has written the obituary of mass media and promoted the "sociality" of social media, one needs to critically engage with such statement. Such statements have been an outcome of the established status of the "post broadcast" model of media where conventional media is in existence for some time and accessible to everyone in society. Further, this paper seeks to explore the interplay of new media in the life of the aged population in select areas of Kolkata city in the state of West Bengal, India. There are few studies on the ageing population's use of new media in the Indian context. While many of the studies reveal the new media literacy among the youth, this is unimportant as both the new media and the youth are relatively young as a field of research in media studies in India. What is missed in the earlier studies is, how new media plays an important function in the life of the aged population. How do older adults engage with the skilling and deskilling process of media literacy in their everyday life? And finally, do new media provide an extension to their on-going social relations? With the help of substantive details, the present study addresses the aforementioned queries.

• The Journal of Asian Finance, Economics and Business
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• v.7 no.4
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• pp.155-162
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• 2020

The paper aims to examine the association between information and communication technology (ICT), economic growth and population health based on health production model in Malaysia. This theoretical health production function is represented as follows: where the output is an individual health outcome, and the inputs are determinants of health, such as income, education, health care costs, medical facilities, the environment, and lifestyle. The development of information and communication technologies are represented as of mobile cellular subscriptions (per 100) and fixed telephone subscriptions (100) using time series data from 1993-2017 from the World Bank database. Using the bound testing technique of cointegration, this study finds that ICT affects population health significantly and positively in the long- and short-run. This is because ICT inclusion improves human health and longevity. Whereas, economic growth has no significant impact on the population's health both in the short- and long-run. The findings indicate that a weak global economy affects Malaysia's economic growth and reduces the health expenditure per capita. The results of this study suggest that policymakers must develop policies that improves public health by increasing health literacy, disseminating health information and facilitating medical facilities. This study also suggests that health care systems should to concentrate on digital inclusion.

• Journal of Labour Economics
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• v.32 no.1
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• pp.57-75
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• 2009

This paper provides empirical evidence on the impact of SCHIP (The State Children's Health Insurance Program) on single mothers' working decisions using recent CPS (Current Population Survey) data during 1999-2005. SCHIP are found to have a significant positive impact on hours-worked decision.

• Proceedings of the Korea Water Resources Association Conference
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• 2007.05a
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• pp.667-672
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• 2007

Land-use in Cheongju region is changing rapidly because of the increased interactions of human activities with the environment as population increases. We used multi-temporal Landsat images (1991 and 2000) and DEM data in a post-classification analysis with GIS to map land-use distribution and to analyse factors influencing the land-use changes for Cheongju City. Land-use statistics revealed that substantial land-use changes have taken place and that the built-up areas have expanded by about $17.57km^2(11.47%)$ over the study period (1991-2000). Agricultural lands and forests have decreased substantially while urban and barren lands have been on the increase. Rapid economic developments together with the increasing population were noted to be the major factors influencing rapid land use changes. Urban expansion has replaced urban and barren lands, thereby affecting habitat quality and leading to serious environmental degradation.