• Korean Journal of Human Ecology
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• v.1 no.1
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• pp.27-55
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• 1992

The Purpose of this study was to examine the predictive capacity of mother's perception of the family environment (cohesion, expressiveness, conflict, mother's psychosocial competence) for children's social competence. The hypotheses of this reserch were 1) There will be significant positive relationships among mother's cohesion, expressiveness, and mother's psychosocial competence. 2) There will be significant negative relationships between mother's conflict and measures of children's social competence. 3) There will not be a significant relationships between SES and measures of children's social competence. 4) There will be significant relationships between children's gender and measures of children's social competence. The subjects of this study were 133 family of mother-child. The period of research was from Aug. 20, 1990 to Feb. 29, 1992. Correlations, t-test, F-test, and multiple regression analyses were conducted to determine the relationships among variables and measures of total sample, daughter sample, and son sample. The results of this study appeared as follow: 1. Family environment (cohesion, expressiveness, and conflict) and mother's psychosocial competence were related to children's social competence. 2. There were negative relationship between mother's conflict and daughter's social competence. 3. Daughters had the higher social competence than sons. 4. Socioeconomic status(perceived by mother) of family was not related to children's social competence. 5. Sociodemographic variables affecting to children's competence were mother's school career, mother's age, mother's religion.

• KDI Journal of Economic Policy
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• v.43 no.2
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• pp.1-22
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• 2021

The effects of social distancing measures on income distributions and aggregate variables are examined with an off-the-shelf heterogeneous-agent incomplete-market model. The model shows that social distancing measures, which limit households' labor supply, can decrease the labor supply of low-income households who hold insufficient assets and need income the most given their borrowing constraints. Social distancing measures can therefore exacerbate income inequality by lowering the incomes of the poor. An equilibrium interest rate can fall when the social distancing shock is expected to be persistent because households save more to prepare for rising consumption volatility given the possibility of binding to the labor supply constraint over time. When the shock is expected to be transitory, in contrast, the interest rate can rise upon the arrival of the shock because constrained households choose to borrow more to smooth consumption given the expectation that the shock will fade away. The model also shows that social distancing shocks, which diminish households' consumption demand, can decrease households' incomes evenly for every income quantile, having a limited impact on income inequality.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.10 no.3
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• pp.1454-1466
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• 2016

This paper implements an estimated ranking algorithm of closeness centrality measures in large-scale workflow-supported social networks. The traditional ranking algorithms for large-scale networks have suffered from the time complexity problem. The larger the network size is, the bigger dramatically the computation time becomes. To solve the problem on calculating ranks of closeness centrality measures in a large-scale workflow-supported social network, this paper takes an estimation-driven ranking approach, in which the ranking algorithm calculates the estimated closeness centrality measures by applying the approximation method, and then pick out a candidate set of top k actors based on their ranks of the estimated closeness centrality measures. Ultimately, the exact ranking result of the candidate set is obtained by the pure closeness centrality algorithm [1] computing the exact closeness centrality measures. The ranking algorithm of the estimation-driven ranking approach especially developed for workflow-supported social networks is named as RankCCWSSN (Rank Closeness Centrality Workflow-supported Social Network) algorithm. Based upon the algorithm, we conduct the performance evaluations, and compare the outcomes with the results from the pure algorithm. Additionally we extend the algorithm so as to be applied into weighted workflow-supported social networks that are represented by weighted matrices. After all, we confirmed that the time efficiency of the estimation-driven approach with our ranking algorithm is much higher (about 50% improvement) than the traditional approach.

• Asia pacific journal of information systems
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• v.30 no.4
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• pp.785-807
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• 2020

The novel Coronavirus disease 2019 (COVID-19) is unprecedentedly changing the world since its outbreak in late 2019. Using the collected the data related to COVID-19 and the social media user data from a mobile application market research agency from January 25 to April 7, this study empirically examines the effect of the number of confirmed COVID-19 cases worldwide, the number news COVID-19, and the enforcement of social distancing measures on the daily active users (DAU) of two social media services - Twitter and Facebook - in South Korea. There are three important findings from the results of econometric analysis. First, the number of confirmed COVID-19 cases worldwide has a negative effect on the DAU of social media. Second, the number of COVID-19 news is negatively associated with the DAU of social media. Finally, the implementation of social distancing measures has no significant effect on the DAU of the social media. Theoretical implications and managerial guidelines are also discussed.

• Journal of Distribution Science
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• v.17 no.2
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• pp.5-11
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• 2019

Purpose - This paper examines how corporate social responsibility of the Korean retail industry affects the degree of asymmetric information. Recent theories predict that a firm's active engagement in socially responsible activities lowers the degree of asymmetric information of the firm. Research design, data, and methodology - This paper uses the sum of environmental and social scores (ES), published by the Korean Corporate Governance Service in order to proxy the degree of socially responsible management practices of Korean retail firms. This paper uses the ordinary least square method to investigate the above predictions. The publicly traded Korea retail firms listed in the Korean Exchange are analyzed from 2011 to 2016. To measure the degree of asymmetric information, this paper adopts the analyst dispersion and price impact measures. Results - This paper shows that the ES score has significantly positive relationships with these two measures of information asymmetry. The environmental score seems to increase the analyst dispersion measure and the social score appears to raise the price impact measure mores significantly. Conclusions - The results do not support the prior theory expecting a negative relationship between corporate social responsibility and the degree of asymmetric information. Environmental and social scores are found to affect the measures of information asymmetry differently.

• Educational Technology International
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• v.9 no.2
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• pp.39-56
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• 2008

This paper investigates the relationship between the structural characteristics of a virtual CoP and the measures of social network analysis. Several implications were developed by the results of the study First, the study, based on reviews of both the CoP and SNA literature, identified specific structural measures of SNA; connectedness, geodesic distance, and density. Second, the formal CoP investigated in this study showed greater development that the classic, informal CoP in terms of the structural dimension of a CoP. The results show that those measures of social network analysis provide an illuminating way to better understand the structural properties of CoP's. Implications of the study with some suggestions for future research are provided.

• Korean Journal of Labor Studies
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• v.24 no.1
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• pp.197-227
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• 2018

This article aims to analyze some conditions for the reinforcing social security rights of atypical construction workers, and their socio-economical effects, and furthermore, to explore political measures for compliance with obligation of the four basic social insurances. Although the construction industry is one of the pivotal industry sectors, which contributes to the economic development, it is a typical industry sector, half of whose manpower is atypical and irregular. This kind of reality results especially from its own sectoral features and employment structure. We will argue that our society needs political measures for compliance with obligation of the basic social insurances for the construction workers, and it would help the reinforcing social safety net of the precarious construction workers, and furthermore enhancing competition in the construction industry. For this purpose, we will suggest concrete conditions for compliance with obligation of the basic social insurances and prove its positive socio-economic effects. In the end, we will propose some detailed measures like direct construction, introduction of the prevailing wage, etc. for this politic approach.

• Journal of Digital Convergence
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• v.9 no.1
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• pp.61-70
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• 2011

Ultimately, this research will focus on the activity traits of future customers in the convergence age. To accomplish that, firstly, researcher develop measures for assessing the convergence level of digital devices and digital services. Next, this will investigate the behavioral traits of people who use specific devices or services on the internet or mobile networks. This study proposed five convergence measures each for devices and services. For digital devices, measures such as converged functions, accessibility to network, portability, immediate communicability, and expandibility of functions were utilized. For digital measures such as scope of users, newness, social network level, ease-of use on mobile networks, and expandibility of information were used. We believe that the research results can provide insights for those wishing to explore the convergence level of devices and services and those developing high-level converged devices and digital services.

• Journal of the Korean Society for information Management
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• v.27 no.2
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• pp.225-239
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• 2010

This study aims to answer whether social tagging through user collaboration could be utilized for the creation of digital knowledge of the web, and whether we could verify the quality and efficacy of social tagging to obtain benefits from it. In particular, this paper examines the inter-indexer consistency of social tagging in comparison to professional indexing. It employs two different similarity measures, both of which are based on the Vector Space Model to deal with numerous indexers. It contributes to the utilization of social tagging in the organization of the web, and encourages to adopt social knowledge in developing suitable vocabularies for resources newly generated in the digital library environment. Furthermore, the comparative analysis with two different measures produced more credible results by illustrating a similar pattern of indexing tendency in both measures.

• Korean Journal of Social Welfare Studies
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• no.37
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• pp.35-62
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• 2008

This study starts form the inequity of the spatial accessibility in social services. This study has purpose to descript and analyze the spatial accessibility of social service agencies. While analysing the spatial accessibility, this paper uses comparative method of distance and space-time measures. The results of research are as follows; It needs (1) to enhance the spatial accessibility of the aged and the disabled. (2) to facilitate the spatial accessibility of marginal area or community like rural community. (3) to recognize utilities of distance and space-time measures in the spatial accessibility.