• 지식경영연구
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• 제18권4호
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• pp.137-157
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• 2017

With the rapid growth of the internet, Social Network Services (SNSs) have played an important role. As the use of SNSs increases, users experience a sense of responsibility to respond to other people's messages or requests, and consequently experience an social overload, feeling too much social support for other users. In this study, we examined the effects of social overload on loneliness and SNS discontinuous usage intention. To verify the research model, data were collected from 83 SNS users and analyzed using SmartPLS, a structural equation modeling tool. The results of this study showed that the communal orientation and the degree of use of SNS influenced the social overload, and the social overload had a significant effect on loneliness and SNS discontinuous usage intention. The findings of this study are expected to help understand the social overload and loneliness in the use of SNS, and may also provide a strategic direction for SNS service providers.

• 지식경영연구
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• 제12권5호
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• pp.41-57
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• 2011

Social commerce is simply a kind of e-commerce by adopting SNS(Social networking service). It has been spread as SNS is widely used all over the world. In this situation, companies attempt to make the best use of social commerce to understand its advertising effect and to sell more products and/or services they provide. Although social commerce is a recent trend in Korea, it is necessary for companies to find a way to effectively adopt and utilize the social commence. Therefore, the focus of this study is to identify critical success factors for social shopping. We generated 40 items to measure 8 constructs. Using data collected from 300 respondents who have experienced both SNS and social shopping, we analyzed our model and its hypotheses. The analysis result shows that social shopping customers don't use SNS to get information when they purchase products and/or services in social shopping web sites.

• 한국IT서비스학회지
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• 제13권2호
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• pp.173-184
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• 2014

As social network services has become one of the most successful web-based business, recommendation in social network sites that assist people to choose various products and services is also widely adopted. Collaborative Filtering is one of the most widely adopted recommendation approaches, but recommendation technique that use explicit or implicit social network information from social networks has become proposed in recent research works. In this paper, we reviewed and compared research works about recommendation using social network analysis and collaborative filtering in social network sites. As the results of the analysis, we suggested the trends and implications for future research of recommendation in SNSs. It is expected that graph-based analysis on the semantic social network and systematic comparative analysis on the performances of social filtering and collaborative filtering are required.

• 인터넷정보학회논문지
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• 제18권4호
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• pp.7-17
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• 2017

Despite various types of online social networks having different topological and functional characteristics, the kinds of online social networks considered in social recommendations are highly restricted. The pervasiveness of social networks has brought scholarly attention to expanding the scope of social recommendations into more diverse and less explored types of online social networks. As a preliminary attempt, this study examined the information-sharing patterns of a new type of online social network - unilateral (directed) network - and assessed the feasibility of the network as a useful information source. Specifically, this study mainly focused on the presence of shared interests in unilateral networks, because the shared information is the inevitable condition for utilizing the networks as a feasible source of personalized recommendations. As the results, we discovered that user pairs with direct and distant links shared significantly more similar information than the other non-connected pairs. Individual users' social properties were also significantly correlated with the degree of their information similarity with social connections. We also found the substitutability of online social networks for the top cohorts anonymously chosen by the collaborative filtering algorithm.

• 디지털산업정보학회논문지
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• 제11권1호
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• pp.47-57
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• 2015

Recently, Internet of Things (IoT) have become popular for research and development in many areas. IoT makes a new intelligent network between things, between things and persons, and between persons themselves. Social network service technology is in its infancy, but, it has many benefits. Adjacent users in a social network tend to trust each other more than random pairs of users in the network. In this paper, we propose recommendation technique using social network in Internet of Things environment. We study previous researches about information recommendation, IoT, and social IoT. We proposed SIoT_P(Social IoT Prediction) using social relationships and item-based collaborative filtering. Also, we proposed SR(Social Relationship) using four social relationships (Ownership Object Relationship, Co-Location Object Relationship, Social Object Relationship, Parental Object Relationship). We describe a recommendation scenario using our proposed method.

• 아동학회지
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• 제30권5호
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• pp.119-135
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• 2009

This study investigated how perceived social support, self-esteem and parenting attitudes of mothers relates to children's social competence and explored the mediating role of parenting attitudes in multicultural families. Participants were 67 immigrant women and their children aged 4-6. Instruments were the Social Support Scale (Park, 1985), Maternal Behavior Instrument (Lee, 1986), Self-Esteem Scale (Rosenberg, 1965) and Social Competence Scale (Doh & Falbo, 1994). Data were analyzed by Pearson's Correlation and Structural Equation Modeling (SEM). Results indicated that social support perceived by mothers related positively to their self-esteem and positive parenting, and to children's social competence. Mothers' self-esteem related positively to their positive parenting and to children's social competence. Maternal parenting behavior mediated the effects of social support and self-esteem on children's social competence.

• 한국사회복지학
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• 제49권
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• pp.62-94
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• 2002

The purpose of this study is to understand the current state of social activist behavior of social workers, and to confirm the historic concern within social work that the continued striving to become more professionalized will decrease or destroy its commitment to social activism and to serve for the poor. Concerned with first question, this study, based on survey data, finds that social worker's activist orientation is not low, but their level of actual participation is not high, and they favor a consensus strategy rather than conflict one. In regard to the relationship between professionalization and social activism, it is found that professionalization variables are not a consistent predictor in explaining social workers' activist behavior. Rather social workers' socio-economic characteristics variables and the kinds of agency and client they are working for are found to be more important factors. So it cannot be said that professionalization is not compatible with social activism as far as this study is concerned.

• 한국정보전자통신기술학회논문지
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• 제5권4호
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• pp.180-185
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• 2012

소셜 러닝은 미래 지식정보사회의 새로운 학습모델로 기존의 학습과 달리 개인의 능동성과 타인과의 관계 형성을 강조한 것으로, 블로그, SNS, 위키, UCC, 마이크로블로그 등과 같은 소셜 미디어를 학습플랫폼으로 활용하여 소셜의 효과가 학습으로 연결될 수 있도록 설계할 수 있다. 본 논문에서는 소셜 러닝을 이해하기 위한 세가지 키워드인 맥락, 연결, 협업을 중심으로 소셜 러닝 특성을 기술한다. 각 소셜 미디어 특징을 조사하여 소셜미디어가 소셜 러닝에 어떻게 활용이 될지를 알아보고 페이스북을 활용한 소셜러닝 시스템 구축 방법을 제시한다.

• Journal of Information Technology Applications and Management
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• 제27권6호
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• pp.31-51
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• 2020

During the last decade, social live streaming service like Periscope, Ustream, and YouNow has developed from a niche market into a mainstream activity. In this media environment, social live streaming service has a tremendous impact on the social behaviors of users. Despite the rapid development, there are a lack of studies to make better understand the media environment changes through social live streaming service. This study adopted an affordances approach that leads us to identify six distinctive social affordances (visibility, accessibility, information sharing, social interaction, role-taking, interactive revenue) for user engagement in social live streaming service. Specifically, this study explores the impact of social affordances on perceived flow, followed by user engagement including passive and active engagement. Empirical data analysis with 258 questionnaires suggests that social affordances affected users' flow perception, and flow has an effect on active as well as passive engagement. Contrary to the expectation in a hypothesized research model, only the impact of accessibility on flow was rejected.

• International Journal of Internet, Broadcasting and Communication
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• 제13권3호
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• pp.109-117
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• 2021

Although previous studies on social commerce have provided much insight, more studies in the perspective of social network are needed because social commerce happens within online communities or virtual groups, where buyers connect and interact with each other by sharing information. So, the purpose of this study is to investigate how transactive memory as network characteristic can affect social commerce behavior through social support and relationship quality. We verified the relational effect among social support, relationship quality, and social commerce intention in the Korean market context. Moreover, we found transactive memory capability also played an essential role in the field of social commerce. Specifically, we found consumer's transactive memory capability plays a significant moderating role in the relation between social support and relationship quality.