• Journal of the Korea Society of Computer and Information
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• v.24 no.2
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• pp.209-215
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• 2019

The objective of this study was to identify the determinants of digital divide according to the characteristics of the elderly. In order to achieve this objective, this study selected elderly people (${\geq}65$ years old) who used a senior welfare center in Chungcheongbuk-do. The survey was conducted using a self-filling survey method for 12 days. Total 289 copies of questionnaires were used for the analysis. The results of this study are as follows. First, gender and age among the demographic characteristics were the factors causing the digital divide of the elderly. Second, education level, economic level, Secondly, education level, economic level, health level, and occupation were factors creating the digital divide of the elderly. This study suggested practical and policy implications based on these results.

• Journal of Digital Convergence
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• v.14 no.6
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• pp.1-7
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• 2016

The definition of digital poverty of multicultural families has not been changed since it was used at the first digital divide survey in 2012. The objective of this study is to reexamine and redefine digital poverty targets of digital divide survey for multicultural families. The results suggest to reexamine multicultural families rather than limiting to Immigrant women for digital poverty. The results were as follows. First, the current survey has been limited to the migrant women for information gap survey of married migrants. But, It is expected to increase immigrant men in the future. It should include migrant men in the marginalized target in terms of preparation for a multicultural society. Second, the current survey has been limited to the migrant women for information gap survey. But, It is expected to increase children of multicultural families. This information gap is likely to be linked to differences in education or future economic disparities for children of multicultural families. It should include children of multicultural families in the marginalized target in digital divide survey.

• Journal of Information Management
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• v.38 no.1
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• pp.37-58
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• 2007

The current notion of digital divide is quite different from the traditional definition of digital divide. People have considered that digital divide and social capital are separated notions and are not related with each other. However, in this current information society, the digital divide affects the process of building social capital, and thus these two concepts have become closely related with each other. Now, the notion of digital divide is combined with social capital theory and has created new social phenomena that multiple divisions of social structure. Information and Communication Technologies(ICT) plays important roles in this new social and informational environment. This research identifies the relationships between digital divide caused by ICTs and social capital. To investigate the relationship between digital divide and social capital, this research used datasets provided by the Pew Internet & American Life Project (March 2002 survey).

• Journal of Industrial Technology
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• v.33 no.A
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• pp.81-88
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• 2013

In this paper, we study the current situation of digital divide caused by accessibility disparity to information in Korea. We investigate leading causes and classes of people of digital divide, and also investigate phenomena which arise from such digital divide. In the investigation, we survey related works and additionally carry out questionnaire study in which we make questionnaire items ourselves. Finally, we discuss various measures to resolve digital divide in Korea based on the study results.

• Journal of Digital Convergence
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• v.14 no.3
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• pp.1-12
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• 2016

The definition of digital poverty has not been changed since it was used at the first digital divide survey in 2000s. The objective of this study is to reexamine and redefine digital poverty targets of digital divide survey. This study examines the present state for the target of the digital divide survey focusing on Disabilities, Low-Income and Elders and then redefines digital poverty for them. The results suggest to reexamine 15 types of disabilities by the revised the Disabled Welfare Law as digital divide targets, rather than limiting to physical, brain, hearing and visual disabilities. For the low-income target, people on the second-to-the bottom income bracket as well as those on basic welfare should be included as the target of low-income people for digital poverty. The age of the elder target for digital poverty should be adjusted to sixty-five or more in the era of aging population.

• Journal of Information Technology Applications and Management
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• v.9 no.1
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• pp.45-60
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• 2002

The development of information technology has been expected to change the living style and upgrade the living environment. These expectations are somewhat realized, but there are certain groups that will be less benefitted by these upgrades compared to other groups. These phenomena are called digital divide, which is the latest Issue around the world these days. There are several factors that raise digital divide such as gender, education, job, age, income and region. In Korea, the most critical factor may be considered as region but so far this has only been assumed and there has been no empirical surveys about this. This study is proposed to survey the remote rural areas to find out the actual situations of digital divide compared to the urban areas in Korea. And the results will be used as a basic data to make strategies and policies in order to improve the rural living environments.

• Journal of Korean Library and Information Science Society
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• v.43 no.2
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• pp.29-52
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• 2012

The use of smart device has changed the traditional meaning of digital divide. It has also bridged the gap between information-haves and have-nots. In contrast, some researchers insist that the dissemination of smart devices has created new digital divide different from traditional divide. In order to clarify the current status of digital divide, this research statistically analyzed correlations between the factors of digital divide and possessions of smart devices based on the survey results conducted by Pew Research Center. It was also statistically demonstrated whether the digital literacy in using smartphones affects the generation of smart divide.

• Journal of The Korean Association of Information Education
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• v.11 no.4
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• pp.433-445
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• 2007

Digital divide comes to appear as a new factor of causing social inequality with the entry of information society. Especially, the digital divide in student class makes a worry about education inequality as the education using ICT, e-learning, and u-learning are enlarged. So, the concern about the status of digital divide in school is increasing. In this study, we conducted a questionnaire survey of students and teachers in elementary and secondary schools located in Gyeongnam, and measured informatization level with the weighted average of three subindices : accessing index, capability index, and utilization index. According to the survey, the index on information processing capability showed the largest gap in both the student group and the teacher group. We also had the result of positive correlation between the capability index and the utilization index. These results show that the gap of information processing capability is an important factor for understanding the digital divide.

• Informatization Policy
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• v.26 no.3
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• pp.53-68
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• 2019

The aim of this study was to empirically investigate the difference in life satisfaction between people with disabilities who utilize the Internet and those who do not. The study also found out through an interaction term analysis if there were differences in their life satisfaction and digital utilization by gender, age, education level, employment status, household income, as well as personal characteristics such as disability type and degree. While the existing studies have been mainly focused on the digital divide between the non-disabled and the disabled, this study attempts to further apply the advanced concept of digital divide - digital utilization divide - within the group of people with disabilities. Based on these research findings, this study shows that the digital utilization by people with disabilities has a statistically significant effect on their quality of life, and that life satisfaction of the people with disabilities who use the Internet is affected by their education level, residence, and disability degree. Consequently, these findings indicate implications that suggest an expanded form of digital divide policies for people with disabilities through broadening perspectives on policies for closing such divide.

• The Journal of the Convergence on Culture Technology
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• v.8 no.3
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• pp.129-136
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• 2022

This study examines the moderating effect of sociodemographic factors on the relationship between motivation and outcomes of digital device use. The data from 'the 2020 Survey on the Digital Divide' conducted by National Information Society Agency was used for empirical analysis. Significant interaction effects were observed between sociodemographic characteristics and motivation. The results also show that motivation was a primary predictor of the differences in outcomes of digital device use, the third-level digital divide. These findings have implications for closing the third-level digital divide.