• Korean Journal of Social Welfare Studies
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• v.41 no.1
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• pp.281-306
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• 2010

The purpose of this study is to look for the factors that facilitate knowledge sharing among public official in the department of social welfare, and to find whether the intention to share knowledge influences the knowledge sharing. In order to accomplish the purpose of the research model, the independent variables were trust, openness in communication, anticipated reciprocal relationship, and efficacy. The intervening variable was intention to share knowledge, and the dependent variable was knowledge sharing. The significant finding that came out of this research model is that trust, anticipated reciprocal relationship and efficacy positively influenced the intention to share knowledge. Efficacy positively affected knowledge sharing. Intention to share knowledge had a significant influence on the knowledge sharing. According to the results of this study, in order to improve effective knowledge sharing in the public sector or in the private sector, we suggested that social workers have to consider why they should share knowledge in the social welfare organization. Social workers in the public sector or in the private sector must develop ways to share the knowledge possessed within the organization with the people who need that knowledge.

• Journal of Internet Computing and Services
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• v.24 no.6
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• pp.65-72
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• 2023

This study aims to investigate the factors influencing the life satisfaction of North Korean defectors in the ongoing situation of difficulties. Specifically, it examines the impact of the digital informatization level, and social capital on their life satisfaction and aims to verify the mediating effect of social capital in the relationship between the digital informatization level and life satisfaction. To achieve this, a structural equation model was utilized to validate the research model using data from 679 North Korean defectors who participated in the 2021 Report on the digital Divide. The research results confirm the direct influence of the digital informatization level and social capital of North Korean defectors on life satisfaction. Additionally, the study identifies the mediating effect of social capital in the relationship between the digital informatization level and life satisfaction. Based on these research findings, recommendations are proposed for enhancing the life satisfaction of North Korean defectors.

• The Journal of Asian Finance, Economics and Business
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• v.5 no.3
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• pp.81-93
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• 2018

This study developed and tested the impact of hallyu 4.0, social media, and consumer ethnocentrism on the decision to purchase Korean products of Generation C in Vietnam. Both qualitative and quantitative methodologies were utilized in this study. Qualitative research was first carried out with in-depth interview, conducted to derive measurement items for the interested constructs. Quantitative research used cross-sectional field design by pilot study and official study. The model was tested and developed using data collected by questionnaires, from a sample of 575 respondents, by both electronic and paper surveys with non-probability and convenience sampling techniques. SPSS 20 and AMOS 20 software were employed to analyze the data. The results of structural equation modeling showed that hallyu 4.0, social media, and consumer ethnocentrism influenced the intermediates variables: subject norms, trust, attitude and behavioral intention and influenced purchase decision. The hallyu 4.0, social media, and consumer ethnocentrism are independent variables. They impact purchase decision through mediating variables such as trust, subjective norms, attitude and behavioral intention. Social media influences not only to trust but also to subjective norms. Subjective norms influence on purchase decision. This study also discovers an interesting fact that trust and attitude variables have an impact on behavioral intention and purchase decision.

• Journal of Agricultural Extension & Community Development
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• v.19 no.3
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• pp.581-616
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• 2012

The purpose of this study was to examine the impact of family support and social support on the hopelessness of rural elderly people in an effort to provide some information on the improvement of elderly people's quality of life. The rural elderly people investigated didn't think that they were given lots of support from their families and society, and they didn't feel hopeless a lot, either. The hopelessness of the elderly people was under the negative influence of emotional support and instrumental support among the subfactors of family support, and that was affected in a negative way by affective support among the subfactors of social support. Therefore it could be said that the rural elderly people felt hopeless less when they were provided with more emotional support, more instrumental support and more affective support. Overall, social support had a negative impact on the hopelessness of the rural elderly people. The findings of the study suggest that in order to step up the improvement of rural elderly people's quality of life, a well-functioning model should be developed and applied in collaboration with local community, and the construction of a social support network is required as well.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.14 no.3
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• pp.1065-1085
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• 2020

With rapid growth of content demands, device-to-device (D2D) content sharing is exploited to effectively improve the service quality of users. Considering the limited storage space and various content demands of users, caching schemes are significant. However, most of them ignore the influence of the asynchronous content reuse and the selfishness of users. In this work, the user preferences are defined by exploiting the user-oriented content popularity and the current caching situation, and further, we propose the social-aware rate, which comprehensively reflects the achievable contents download rate affected by the social ties, the caching indicators, and the user preferences. Guided by this, we model the collaborative caching problem by making a trade-off between the redundancy of caching contents and the cache hit ratio, with the goal of maximizing the sum of social-aware rate over the constraint of limited storage space. Due to its intractability, it is computationally reduced to the maximization of a monotone submodular function, subject to a matroid constraint. Subsequently, two social-aware collaborative caching algorithms are designed by leveraging the standard and continuous greedy algorithms respectively, which are proved to achieve different approximation ratios in unequal polynomial-time. We present the simulation results to illustrate the performance of our schemes.

• Journal of Korea Society of Digital Industry and Information Management
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• v.17 no.4
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• pp.161-175
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• 2021

This study analyzed the efficiency and influence factors according to the main research institute type of R&D Program for the local community problem-solving. This study applied data envelopment analysis (DEA) method and Tobit regression analysis by using 20 institutions that participated in R&D Program. The results are summarized as follows. First, Analysis results according to the research institute type of R&D project, Efficient DMUs showed more regional innovation institutions than social economy enterprises. But regional innovation institutions were the lowest in the CCR and BCC model. However, efficiency dose not differ between regional innovation institutions and social economy enterprises. Second, as a result of the analysis relation between efficiency and allocation characteristics of R&D input, the participation of regional innovation organizations as participating organizations has a negative effect on efficiency. It was found that the higher the proportion of government subsidies and the higher the employment rate of the vulnerable, which is a social achievement, the positive effect on efficiency. The implication of this study is that the participation of social economy enterprises as the main R&D institution and government R&D support can provide social economy enterprises with opportunities to accumulate R&D capabilities and experience successful commercialization.

• International Journal of Advanced Culture Technology
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• v.9 no.1
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• pp.89-92
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• 2021

In this study, we wanted to examine the effects of social stigma on the psychological emotions of out-of-school youths and the mediating effects of parental emotional support in the relationship between these variables. To that end the National Youth Policy Institute dropout Youth Panel Survey of the Experimental (2017) 318 with data. The study method used the AMOS 7.0 program to check the suitability of the structural model and the significance of the direct and indirect effects. Through this study, we will first look at the relationship between social stigma and psychological sentiment of out-of-school youths, social stigma and parental emotional support. Second, we would like to examine how social stigma among out-of-school teens affects psychological sentiment. Third, we would like to examine the mediated effect of parental emotional support in the influence of social stigma on psychological sentiment of out-of-school youths. Based on the results of this study, we would like to support the existing prior studies related to out-of-school youth and further propose practical intervention measures that can be used in counseling and education sites. We would also like to discuss suggestions for further research.

• Asia pacific journal of information systems
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• v.30 no.3
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• pp.513-531
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• 2020

Online Word-of-Mouth communication, or eWOM, has dramatically changed the way people network, interact, and share knowledge. Studies have examined why consumers choose to share knowledge online, especially online product reviews, as well as the motivations of individuals to share product ideas online. However, the role of gender in shaping the motivation and types of knowledge shared online has been given little consideration. Using concepts from Social Exchange Theory and the Theory of Reasoned Action, we address this research gap by developing and testing a model of gender's influence on knowledge sharing in a social media context. A PLS analysis of survey data from 257 students indicates that reputation, altruism, and subjective norms are key motivators for knowledge sharing intention in social media. More importantly, that gender plays a moderating role within the motivation-knowledge sharing relationship. We also find that subjective norms have a greater impact on knowledge sharing with women than with men. Collectively, our research results highlight individualized factors for improving customer participation in external facing social media for marketing and product innovation.

• Informatization Policy
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• v.20 no.4
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• pp.51-70
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• 2013

The flaming which is defined as posting deliberately hostile messages online has been perceived as one of the most dangerous behaviors on the Internet. Although the previous research on flaming focused on finding the effects of anonymity and individual differences, more comprehensive explanation is still needed. This research attempted to find social variables which affect the attitude toward and the act of flaming based on the differences between high school and college students. Findings show that both high school and college students are strongly influenced by their affiliated groups in the intention to commit online flaming and past experiences of the number of the acts of flaming. At the same time, vicarious learning was positively associated with high school students, but direct utterance was positively associated with college students. The implications of the study was also discussed.

• Journal of Convergence for Information Technology
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• v.7 no.4
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• pp.53-60
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• 2017

The purpose of this study was to identify the factors affecting intention and attitude of artificial intelligence technology(AI) of university students in healthcare using UTAUT model. Participants were 278 college students and the data were collected through self-reported questionnaire from May 15 to June 14, 2016. The collected data were analyzed using PASW Statistics/AMOS 22.0. The results were as follows. The effect of expectation factor, social influence, usefulness of work, anxiety factor had a significant effect on use of AI technology Intention. Factor of expectation effect, social influence, usefulness of work, anxiety factor had a significant effect on use of AI technology. As a result of verifying the significance of the indirect effect, it can be seen that the direct effect of the anxiety factor on the attitude factor is partially mediated by the use intention factor and the intention to use was partially mediated in the direct effect of the usefulness factor of the task on the attitude factor. This result means that it is important to increase the expectation factors, social effects, and perceived usefulness through accurate information based on facts and to reduce vague anxiety in order to increase the positive intention and attitude of university students' use of AI technology.