• 한국정보시스템학회지:정보시스템연구
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• 제22권1호
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• pp.65-87
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• 2013

The development and expansion of communication technology in the field of information technology (IT) have changed the method and culture of communication, mediating communication among people. In particular, since social network service (SNS) has the attributes of information delivery and processing, it has a more powerful dissipating effect and influence than other existing communication methods. The role of users in SNS is important because it has the communication structure of producer-consumer, which consists of sharing, connection and participation of users. In this line, the purpose of this study is to investigate the intention for continued use of SNS by user ability. In order to explain the motivation and behavior for continued use of SNS by users, this study employed the motivation theory and post-adaptation model. The study applied 'media literacy' to the characteristics of SNS media and environment and expanded it into the concept of 'SNS literacy' to identify the moderating effect by user ability. Referred to as 'user's ability that is required to use SNS,' the SNS literacy was verified for its moderating effect with the three sub-dimensions: 'technical accessing ability,' 'understanding ability' and 'creative ability.' The major findings of this study are as follows. First, the perceived usefulness and playfulness were found to have a significant effect on the intention for continued use of SNS, showing the same result with previous studies on technology acceptance. In other words, usefulness and playfulness are variables with an explanatory power in the SNS environment as well. Second, the conceptualization of SNS literacy with accessing ability, understanding ability and creative ability was found to be valid. Third, it was verified that there was a significant difference in the SNS literacy between perceived usefulness and continued use, indicating that users with higher ability respond sensitively to usefulness and affect continued behavior. The moderating effect of SNS literacy was also verified in the relationship between perceived playfulness and intention for continued use. The results above confirm the difference in post-adaptation behavior of individuals, and are expected to provide several implications.

• 경영정보학연구
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• 제13권3호
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• pp.1-14
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• 2011

최근 몇 년 사이 전 세계적으로 SNS(Social Network Service)가 확산되면서 일반 기업에서의 SNS 활용도는 점차적으로 증가하는 추세이다. 초기에 자사 제품 및 서비스의 단순 홍보에서 벗어나 최근에는 사내 구성원의 소통의 도구, 고객 서비스 및 제품 개발 등 다양한 분야로 활용 범위가 확대되고 있다. 본 연구는 SNS 에코시스템에서 민간 기업들의 SNS 활용 차원의 가치 사슬의 본원적 활동과 지원적 활동으로 구분하여 관련 사례를 살펴본다. 본 연구의 결론으로 기업들의 가치 사슬 지원 SNS 사례 조사/분석 결과와 여러 민간 기업의 연구소에서 제시한 기업 SNS 활용의 고려 사항을 종합하여 민간 기업들의 SNS 도입을 위한 전략적 고려 사항을 제시하고자 한다.

• 산업경영시스템학회지
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• 제41권1호
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• pp.24-38
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• 2018

Since a social networking service (SNS) isconsidered as an effective means to communicate and interact with customers, companies are trying to utilize SNS effectively. There is a lack of theory relating to the attributes of SNS. This study aims to investigate the attributes of SNS to classify SNS. Based on the social network theory, and previous studies on internet, blog, homepage, communication attributes, this study proposes the seven attributes to classify SNS: interaction, communication, entertainment, information, sharing, intimacy and connection. A pre-test, a pilot test and a main test are conducted. In the main test, 239 SNS users are participated. Through a factor analysis this study verifies the seven attributes of SNS. An analysis of variance with multiple comparisons of $Scheff{\acute{e}}$ method identifies that three attributes, interaction, communication and connection, are found to play significant roles to differentiate SNS. Looking at the overall mean values of the SNS by attribute, interaction, sharing, entertainment, intimacy and communication were relatively high in Facebook. Facebook showed higher values in attributes of interaction, sharing, entertainment, intimacy and communication. Twitter shows the relatively high scores for information and connection. Regarding interaction, Facebook shows higher scores than Twitter and Cyworld. For connection, Cyworld showed a significantly lower score than Twitter and Facebook. Cyworld was separated from the others in the light of communication. Cyworld is relatively weak in communication as it is limited to the message exchanges. The results will help in identifying major attributes for each SNS and classifying SNS.

• 한국정보시스템학회지:정보시스템연구
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• 제22권3호
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• pp.1-24
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• 2013

SNS(Social Network Services) is being recognized as an important part in our society, individual lives and corporate business aspects, and the influence of SNS is growing explosively as expansion and supply of infrastructures that support mobile environments increase. Previous studies related to SNS were focused on user acceptance of new technology, based on Technology Acceptance Model(TAM). However, they had a limitation to focus on technology acceptance, without the consideration of personal and behavioral factors in SNS use. However, above all, successful SNS requires the understanding of users who are active on the network. Therefore, from the user's perspective, this study attempted a multi-dimensional approach by reflecting characteristics that come from SNS usage. This study considered user innovation, virtual skill, self-efficacy, social pressure and network effect as independent variables, and perceived ease-of-use, perceived usefulness and perceived value as mediating variables, and intention-to-use as dependent variable. The result showed that user innovation, self-efficacy, social pressure and network effect had a significant effect on the mediating variables. The practical contribution of this study is to suggest useful decision alternatives concerned to marketing strategy for acquiring and retaining lone-term customers related to SNS business.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제9권8호
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• pp.3203-3215
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• 2015

Due to the high growth of SNS population, service scalability is one of the critical issues to be addressed. The cloud environment provides the flexible computing and storage resources for services deployment, which fits the characteristics of scalable SNS deployment. However, if the SNS related information is not properly placed, it will cause unbalance load and heavy transmission cost on the storage virtual machine (VM) and cloud data center (CDC) network. In this paper, we characterize the SNS into a graph model based on the users' associations and interest correlations. The node weight represents the degree of associations, which can be indexed by the number of friends or data sources, and the link weight denotes the correlation between users/data sources. Then, based on the SNS graph, the two-step algorithm is proposed in this paper to determine the placement of SNS related data among VMs. Two k-means based clustering schemes are proposed to allocate social data in proper VM and physical servers for pre-configured VM and dynamic VM environment, respectively. The experimental example was conducted and to illustrate and compare the performance of the proposed schemes.

• 지능정보연구
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• 제18권4호
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• pp.117-127
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• 2012

최근 온라인 소셜 네트워크 서비스(SNS)의 사용자가 크게 늘어나고 있으며 다양한 분야에서 SNS의 사용자 관계 구조 및 메시지를 분석하기 위한 연구를 진행하고 있다. 그러나 대부분의 소셜 네트워크 분석 방법들은 노드 사이의 최단 거리를 기초로 하고 있으므로 계산 시간이 오래 걸린다. 이는 점차 대형화 되어가는 SNS의 데이터를 여러 분야에서 활용하는데 걸림돌이 되고 있다. 이에 따라 본 논문에서는 SNS의 사용자 그래프에서 사용자간 최단거리를 빠르게 찾기 위한 휴리스틱 기반의 최단 경로 탐색 방법을 제안한다. 제안하는 방법은 1) 트리로 표현된 소셜 네트워크에서 시작 노드와 목표 노드를 설정한다. 그리고 2) 만약 목표 노드가 경사 트리의 단말에 있다면 경사 트리가 시작하는 노드를 임시 골 노드로 설정한다. 마지막으로 3) 연결의 차수를 평가값으로 하는 휴리스틱 기반 최단거리 탐색을 수행한다. 이렇게 최단거리를 탐색한 후 매개 중심성 분석(Betweenness Centrality) 및 근접 중심성(Closeness Centrality)를 계산한다. 제안하는 방법을 사용하면 소셜 네트워크 분석에서 가장 많은 시간이 필요한 최단거리 탐색을 빠르게 수행할 수 있으므로 소셜 네트워크 분석의 효율성을 기대할 수 있다. 본 논문에서 제안하는 방법을 검증하기 위하여 약 16만 명으로 구성된 SNS에서의 실제 데이터를 이용하여 매개 중심성 분석과 근접 중심성 분석을 수행하였다. 실험 결과, 제안하는 방법은 전통적 방식에 비하여 매개 중심성, 근접 중심성의 계산 시간이 각각 6.8배, 1.8배 더 빠른 결과를 보였다. 본 논문에서 제안한 방법은 소셜 네트워크 분석의 시간을 향상시켜 여러 분야에서 사회 현상 및 동향을 분석하는데 유용하게 활용될 수 있다.

• Asia pacific journal of information systems
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• 제31권3호
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• pp.392-414
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• 2021

Social networking services (SNS) is an indispensable method in order to obtain information of the Internet participants. The study identified three variables of social media communication, sharing culture, and online trust in terms of social capital theory (SCT) and reviewed intention& behavior variables in terms of theory of planned behavior (TPB). The data were collected from 330 samples of SNS user, and were involved, and the research model uses AMOS to make confirmatory factor analysis. The findings confirmed our hypothesis that social media communication, sharing culture, and online trust affect individuals' behaviors to sharing information. This study emphasizes that not only social media communication but also sharing culture to SNS can stimulate information sharing. while previous research has predominately focused on personal cognition or social network, the study examines the integrated influence of communication, culture and trust on information sharing in SNS. In sum, by explicating the unique role of social capital, this paper aims at contributing to the continued development and success of SNS in general.

• 한국컴퓨터정보학회논문지
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• 제23권7호
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• pp.19-26
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• 2018

This paper presents a structuring process of unstructured social network service (SNS) messages on rail services. We crawl messages about rail services posted on SNS and extract keywords indicating date and time, rail operating company, station name, direction, and rail service types from each message. Among them, the rail service types are classified by machine learning according to predefined rail service types, and the rest are extracted by regular expressions. Words are converted into vector representations using Word2Vec and a conventional Convolutional Neural Network (CNN) is used for training and classification. For performance measurement, our experimental results show a comparison with a TF-IDF and Support Vector Machine (SVM) approach. This structured information in the database and can be easily used for services for railway users.

• 한국컴퓨터정보학회논문지
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• 제19권12호
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• pp.275-285
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• 2014

정보통신기술들(information and communication technology: ICT)의 진화는 우리의 의사소통과 커뮤니케이션 문화를 변모시키며 사이버커뮤니케이션 시대로의 촉진을 유인하고 있다. ICT 발달에 따라 '퍼스널'하면서도 사회적 연결과 소통을 강화시킨 '소셜'의 융합이 촉진되고 있으며, 그 중심에 소셜네트워크서비스(social network service: SNS)가 있다. SNS는 개방성, 확장성, 실시간성 등과 같은 발달된 기술을 배경으로 우리생활에 중요한 영역으로 자리매김하고 있지만, 예기치 못했던 부작용으로 사회적 우려를 낳고 있다. 이에 본 연구에서는 SNS스트레스를 발생시키는 요인인 스트레서(stressor)를 파악하고 사용중단의도에 미치는 영향을 실증하는 것을 주요목적으로 하였다. 연구결과, '정보과부하', '사생활침해', '사용불안', '사용복잡', '빠른 변화속도'가 SNS스트레스 영향요인으로 나타났다. 그리고 SNS스트레스는 사용중단의도에 유의한 영향을 미치는 것으로 확인되었다. 본 연구는 개인적 차원의 테크노스트레스 및 SNS사용중단의도에 관한 논의를 확장시키고 실무적 가이드라인을 제공한다는 점에서 의의를 찾을 수 있다.

• 지식경영연구
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• 제15권2호
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• pp.1-21
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• 2014

In this study we adopted Interpersonal Process Model of Intimacy to study SNS use intention. First, we investigated the effects of personal identity, social identity and intimacy. Second, we tested the influences of self-disclosure, partner disclosure on perceived partner responsiveness. Third, we measured the relationship between perceived partner responsiveness and intimacy. Lastly, we investigated the effects of intimacy, perceived partner responsiveness and use intention. A total of 232 final respondents were collected from users of Social Network Services in 2011. The results revealed several important findings. First, we found that social identity had a significant and positive effect on intimacy. However, personal identity showed insignificant effect toward intimacy. Moreover, self-disclosure and partner disclosure had a positive effects on perceived partner responsiveness. perceived partner responsiveness showed a positive effect on both intimacy and use intention. Lastly, intimacy had significant effect on use intention.