• Journal of Digital Convergence
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• v.18 no.3
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• pp.23-34
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• 2020

This study aims to verify the mediating effect of mobile social participation on the relationship between the mobile device capability and life satisfaction. Using the data of 2018 Digital Divide Survey conducted by the National Information Society Agency(NIA), the mediating effect was verified by Baron & Kenny (1986)'s 3 step process, targeting 1,665 middle and older aged adults. The result is as follows: first, the mobile device capability of the middle and older aged people has a positive effect on life satisfaction. Second, the effect of the mobile device capability of middle and older aged people on life satisfaction is partially mediated by mobile social participation including expressing opinions on social concerns, proposing policies and filing a civil complaint, donation and volunteering work and online voting and responding to a poll. The result represents that the mobile device, such as a smart phone or a smart pad, capability of the middle and older aged group not only directly benefits the group but also helps expand their mobile social participation, which leads to, although indirectly, higher life satisfaction. Therefore, the study is expected to be a groundwork for a practical intervention for enlarging the use of mobile device and lifting digital information level of the elderly to encourage mobile social participation and drive life satisfaction.

• Journal of Digital Convergence
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• v.19 no.5
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• pp.69-79
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• 2021

As the government's public services have been digitized, the necessity of research on the use of e-government services by middle and high-aged people has been raised. Thus, this study aims to verify the mediating effect of digital capacity on the relationship between the family structure and use of e-government services of middle and older aged adults. The study analyzed 1,660 middle and elderly individuals from the 2018 Digital Divide Survey conducted by the National Information Society Agency(NIA) using Baron & Kenny(1986)'s method for mediation. The result is as follows: first, the family structure of the middle and older adults has a significant effect on use of e-government services. Second, the effect of the family structure of middle and older aged people on use of e-government services is partially mediated by digital capacity. The result represents that the elderly living with two or three generations have higher use of e-government services than the elderly living alone and married elderly couple. Also the elderly living with two or three generations have higher digital capacity, resulting in higher use of e-government services. Based on the results, The study suggested that the specific plan for each type of family structure to promote the use of e-government services and a plan to improve the digital capacity of middle and older aged adults.

• Informatization Policy
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• v.21 no.2
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• pp.67-88
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• 2014

The research hypothesis of this paper is that education for smart device utilization has a positive effect on ability and utilization of smart devices for the disabled. The data for disabled of NIA's 2012 survey about digital divide is used, and the research method is "Heckman's 2-stage method" which considers the problem of selection bias. As a research result, this paper says that the disabled who had experience of education for smart device utilization have higher level of ability and utilization of smart devices. Also, a high level of education and family income, professional career and young generation have been very positive effect on the high level of ability and utilization of the disabled. The level of ability and utilization of the blind tend to be lower than those of the physically disabled. These results remind that the education for smart device utilization for the disabled is important and effective. And various contents and methods of education which are appropriate for the disability types should be developed.

• Journal of Intelligence and Information Systems
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• v.23 no.3
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• pp.95-118
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• 2017

Recent centrally the downtown area, the transaction between the row housing and multiplex housing is activated and platform services such as Zigbang and Dabang are growing. The row housing and multiplex housing is a blind spot for real estate information. Because there is a social problem, due to the change in market size and information asymmetry due to changes in demand. Also, the 5 or 25 districts used by the Seoul Metropolitan Government or the Korean Appraisal Board(hereafter, KAB) were established within the administrative boundaries and used in existing real estate studies. This is not a district classification for real estate researches because it is zoned urban planning. Based on the existing study, this study found that the city needs to reset the Seoul Metropolitan Government's spatial structure in estimating future housing prices. So, This study attempted to classify the area without spatial heterogeneity by the reflected the property price characteristics of row housing and Multiplex housing. In other words, There has been a problem that an inefficient side has arisen due to the simple division by the existing administrative district. Therefore, this study aims to cluster Seoul as a new area for more efficient real estate analysis. This study was applied to the hedonic model based on the real transactions price data of row housing and multiplex housing. And the K-Means Clustering algorithm was used to cluster the spatial structure of Seoul. In this study, data onto real transactions price of the Seoul Row housing and Multiplex Housing from January 2014 to December 2016, and the official land value of 2016 was used and it provided by Ministry of Land, Infrastructure and Transport(hereafter, MOLIT). Data preprocessing was followed by the following processing procedures: Removal of underground transaction, Price standardization per area, Removal of Real transaction case(above 5 and below -5). In this study, we analyzed data from 132,707 cases to 126,759 data through data preprocessing. The data analysis tool used the R program. After data preprocessing, data model was constructed. Priority, the K-means Clustering was performed. In addition, a regression analysis was conducted using Hedonic model and it was conducted a cosine similarity analysis. Based on the constructed data model, we clustered on the basis of the longitude and latitude of Seoul and conducted comparative analysis of existing area. The results of this study indicated that the goodness of fit of the model was above 75 % and the variables used for the Hedonic model were significant. In other words, 5 or 25 districts that is the area of the existing administrative area are divided into 16 districts. So, this study derived a clustering method of row housing and multiplex housing in Seoul using K-Means Clustering algorithm and hedonic model by the reflected the property price characteristics. Moreover, they presented academic and practical implications and presented the limitations of this study and the direction of future research. Academic implication has clustered by reflecting the property price characteristics in order to improve the problems of the areas used in the Seoul Metropolitan Government, KAB, and Existing Real Estate Research. Another academic implications are that apartments were the main study of existing real estate research, and has proposed a method of classifying area in Seoul using public information(i.e., real-data of MOLIT) of government 3.0. Practical implication is that it can be used as a basic data for real estate related research on row housing and multiplex housing. Another practical implications are that is expected the activation of row housing and multiplex housing research and, that is expected to increase the accuracy of the model of the actual transaction. The future research direction of this study involves conducting various analyses to overcome the limitations of the threshold and indicates the need for deeper research.