• Journal of Family Resource Management and Policy Review
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• v.20 no.3
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• pp.45-65
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• 2016

The purpose of this study is to investigate the participation in social activities by full-time housewives with infants and preschool children. The data in this study comes from a 1 percent free sample of the 2010 Population and Housing Census collected by Statistics Korea. The statistical methods for this study were percentage, chi-square test, and logistic regression analysis. The findings are as follows. First, there are differences in participation in social activities according to number of infants, number of preschool children, and number of elementary schoolchildren. Second, there was the difference in participation in social activities between full-time housewives and full-time wives' husbands. Third, factors like full-time housewives' age, educational level, number of preschool children and elementary schoolchildren, number of rooms, and occupancy status affected participation in social activities by full-time housewives. These results show that full-time housewives were under pressure in relation to participation in social activities because of their caregiving labor but participated in religious and educational activities actively.

• Journal of Korean Public Health Nursing
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• v.32 no.1
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• pp.56-68
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• 2018

Purpose: This study was conducted to examine the personal and social environmental factors affecting leisure time physical activity (LTPA) among adults living in rural communities. Methods: A cross-sectional study was conducted with a convenience sample of 282 adults living in three rural towns of Chungcheongbuk province. Leisure time physical activity was assessed through the Korean version of the Global Physical Activity Questionnaire (GPAQ), and social influence and social cohesion of social environment were assessed using reliable and validated measures. Multiple logistic regression analysis was conducted to explore personal and social environmental factors associated with LTPA. Results: The overall prevalence of leisure-time physical activity (LTPA) was 40.0%. Multiple logistic regression analysis showed that LTPA participation was associated with gender (OR=2.60, 95% CI=1.47-4.58), healthy eating (OR=1.15, 95% CI=1.01-1.31), unhealthy eating (OR=0.70, 95% CI=0.53-0.93) and social influence for physical activity (OR=1.11, 95% CI=1.03-1.20). However, social cohesion was not correlated with engaging in LTPA. Conclusion: Both personal and social environmental factors are associated with LPTA among rural adults living in Eup-Myen regions. Interventions to promote LTPA would likely benefit from considering healthy dietary intake and social influence for physical activity.

• Women's Health Nursing
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• v.9 no.1
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• pp.50-60
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• 2003

Purpose : The purpose of this study was to evaluate the factors which are related to the maternal role performance of first-time mother to improve the health of infant. Specifically a basic hypothetical model was developed based on the previous study about a model of social networks. Method : The survey was done from January to February in 2001. Total 257 mothers who have four to twelve month old first-time baby was interviewed in five community health center around country(Seoul, Choung-ju, Asan, Cheon-an, Jeju). Finally 247 data was analyzed. Data analysis was done with LISREL 8.20 program for covariance structural analysis. Results : Compared to the hypothetical model, the revised model has become parsimonious and had a better fit to the data ($X^2=167.55$ (p값=.00), $x^2/df=1.48$, GFI=0.97, AGFI=0.95, RMR=0.049, NFI=0.98, NNFI=0.99, CN=222.53). All predictive variables of the maternal role of first-time mother explained 30% of total variance in model. Social network structural characteristics and social network interactional characteristics had significant effect on the emotional support and the information support. And social network interactional characteristics had significant effect on the service support, material support and social companionship support. The service support and social companion ship support had significant effect on the maternal role strain. The emotional support and the social companion ship support had significant effect on the maternal role of first-time mother. Conclusion : As the conclusion of this study, there is in need of the developing the programmes focussed on the social network for the first-time mother.

• Journal of Korean Society of Transportation
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• v.3 no.1
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• pp.46-57
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• 1985

The objective of this paper is to derive a optimum distance and time taxi fare structure based on social costs. Social costs expressed in terms of congestion and vehicle operating costs were successfully internalized. Speed and volume data for three major arterials in Seoul CBD were used. Optimum congestion charge turned out to be 97.01 Won/Km which can be regarded as congestion tax in the context of Seoul CBD. This congestion tax can possibly be incorporated into time-based taxi fare structure. Congestion is likely to be reduced as a result of imposition of time-based taxi fare which reflects social costs.

• Research in Community and Public Health Nursing
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• v.28 no.1
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• pp.13-22
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• 2017

Purpose: The aim of this study is to examine the reciprocal causal relationship between social activities and health with reference to the cognitive function level among community-dwelling older adults. Methods: We conducted a longitudinal data analysis using the $4^{th}$ (Time 1) and $5^{th}$ (Time 2) waves from the Korean Longitudinal Study of Ageing adopting cross-lagged panel analysis (CLPA). Results: A total of 3,473 community-dwelling older adults were included in the analysis: 2,053 in the normal cognitive function group, 912 in the mild cognitive impairment group, and 508 in the moderate to severe cognitive impairment group. The CLPA revealed that higher levels of social activities at Time 1 significantly influenced better subjective health perception at Time 2 in all three groups. In addition, better subjective health perception at Time 1 significantly influenced higher levels of social activities at time 2 only in the normal cognitive function group. Conclusion: This study demonstrates that participating in social activities has positive effects on health regardless of the cognitive function level in community-dwelling older adults. This finding suggests that there is a need to develop strategies that can be used to encourage older adults with cognitive decline to maintain participation in social activities.

• Journal of Communications and Networks
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• v.15 no.5
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• pp.504-513
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• 2013

Communication in delay tolerant networks (DTNs) relies on message transport by mobile nodes, and a correct understanding of the node mobility characteristics is therefore crucial to the design of an efficient DTN routing protocol. However, previous work has mainly focused on uncovering all behaviors of node movement, which is not conducive to accurately detecting the specific movement characteristics of a different node. In this paper, we seek to address this problem based on a consideration of social relationships. We first consider social ties from both static and dynamic perspectives. For a static perspective, in addition to certain accidental events, social relations are considered for a long time granularity and tend to be stable over time. For a dynamic perspective, social relations are analyzed in a relatively short time granularity and are likely to change over time. Based on these perspectives, we adopted different efficient approaches to dividing node pairs into two classes, i.e., familiar and unfamiliar pairs. A threshold approach is used for static social ties whereas a density-based aggregation method is used for dynamic social relationships. Extensive experimental results show that both familiar and unfamiliar node pairs have the same inter-contact time distribution, which closely follows a power-law decay up to a certain point, beyond which it begins to exponentially decay. The results also demonstrate that the inter-contact time distribution of familiar pairs decays faster than that of unfamiliar pairs, whether from a static or dynamic perspective. In addition, we also analyze the reason for the difference between the inter-contact time distributions of both unfamiliar and familiar pairs.

• Journal of Engineering Education Research
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• v.17 no.1
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• pp.57-64
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• 2014

This study has a purpose mainly to analyze the team interaction change by the duration of time in the Capstone-Design activities according to MBTI Modes. Study objects are four students of Mechanical Engineering at School of Engineering in C University located in Daejeon, and the team interaction change was analyzed through IPA (Interaction Process Analysis) method. From the result, first, ESTP showed the change of increase in interaction by the time duration of initial, mid, late periods in 'social-emotional area: positive' and 'task area: question', and the change of decrease by the same time duration of periods in 'task area: solution'. Also, there was no change in 'social-emotional area: negative' because there was no interaction. Second, ESFJ showed the change of decrease in interaction by the time duration of initial, mid, late periods in 'social-emotional area: positive' and 'task area: question', and the change of increase by the same time duration of periods in 'task area: solution' and 'social-emotional area: negative'. Third, ISTJ showed the change of decrease in interaction by the time duration of initial, mid, late periods in 'social-emotional area: positive', 'task area: question' and 'social-emotional area: negative', and the change of increase by the same time duration of periods in 'task area: solution'. Fourth, ENFP showed the change of decrease by the time duration of initial, mid, late periods in 'social-emotional area: positive', 'task area: solution' and 'social-emotional area: negative', and the change of increase by the same time duration of periods in 'task area: question'.

• Korean Journal of Child Studies
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• v.19 no.2
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• pp.35-47
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• 1998

Negative life events, self-esteem, perceived social support, and maladjustment were studied longitudinally among late elementary children. Subjects were 241 boys and girls for depression and 258 for antisocial behavior. The instruments were the Adolescent Perceived Events Scale, the Rosenberg Self-Esteem Scale, the Social Support Scale for Children, the Revised Korean Version of the Center for Epidemiologic Studies' Depression Scale, and the Antisocial Behavior Scale. The results showed that the way variables were reciprocally related to one another in patterns over a period of one year differed by internal and external adjustment. For depression, depression at Time 1 had effects on self-esteem, social support, and depression at Time 2. For antisocial behavior, negative life events at Time 1 influenced negative life events, self-esteem, social support, and antisocial behavior at Time 2. The findings were discussed in relation to the effects of negative life events, self-esteem, and perceived social support on maladjustment.

• KDI Journal of Economic Policy
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• v.39 no.2
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• pp.75-98
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• 2017

This paper aims to estimate the social discount rate (SDR) rather than dig into its theoretical foundation. As SDRs can be derived by investigating both the rate of return on investment and the social time preference rate, we estimate the marginal productivity of both private and public capital and the time preference rate based on the Euler equation. In order to provide a single representative SDR, the weighted averages of the marginal productivity and time preference rate, whose weights are determined by the flow of funds data reflecting the social demand of funds, are presented. Based on the empirical results, we argue that the marginal productivity of private capital stands in the middle of the 3% range while that of public capital varies from 4.5% to 8.6%, with the time preference rate showing a decreasing trend from 3.2% in the early 2000s to 1.2% by around 2030. The single representative SDR or the weighted SDR is estimated to be approximately 3.0~4.5% and expected to continue its downward trend for the foreseeable future.

• Journal of Distribution Science
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• v.17 no.3
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• pp.85-95
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• 2019

Purpose - The existing marketing studies using Social Network Analysis have assumed that network structure variables are time-invariant. However, a node's network position can fluctuate considerably over time and the node's network structure can be changed dynamically. Hence, if such a dynamic structural network characteristics are not specified for virtual goods purchase model, estimated parameters can be biased. In this paper, by comparing a time-invariant network structure specification model(base model) and time-varying network specification model(proposed model), the authors intend to prove whether the proposed model is superior to the base model. In addition, the authors also intend to investigate whether coefficients of network structure variables are random over time. Research design, data, and methodology - The data of this study are obtained from a Korean social network provider. The authors construct a monthly panel data by calculating the raw data. To fit the panel data, the authors derive random effects panel tobit model and multi-level mixed effects model. Results - First, the proposed model is better than that of the base model in terms of performance. Second, except for constraint, multi-level mixed effects models with random coefficient of every network structure variable(in-degree, out-degree, in-closeness centrality, out-closeness centrality, clustering coefficient) perform better than not random coefficient specification model. Conclusion - The size and importance of virtual goods market has been dramatically increasing. Notwithstanding such a strategic importance of virtual goods, there is little research on social influential factors which impact the intention of virtual good purchase. Even studies which investigated social influence factors have assumed that social network structure variables are time-invariant. However, the authors show that network structure variables are time-variant and coefficients of network structure variables are random over time. Thus, virtual goods purchase model with dynamic network structure variables performs better than that with static network structure model. Hence, if marketing practitioners intend to use social influences to sell virtual goods in social media, they had better consider time-varying social influences of network members. In addition, this study can be also differentiated from other related researches using survey data in that this study deals with actual field data.