• Information and Communications Magazine
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• v.30 no.3
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• pp.60-66
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• 2013

본고에서는 현 주소 기반 네트워킹 프로토콜의 비효율성을 극복하기 위한 CCN(Content-Centric Networking) 기술이 SNS(Social Networking Service) 플랫폼 구축에 어떻게 활용될 수 있는 지를 살펴 봄으로써, CCN 기술의 유용성과 미래 확산 가능성에 대해 알아본다.

• Journal of Digital Contents Society
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• v.19 no.2
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• pp.351-362
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• 2018

This study investigated how Schwartz' value system(1992) would interfere with SNS users' motivations and behavioral responses. The study result shows that values are characterized in terms of openness, mutual reciprocity, self enhancement, normative compliance, and security. Each of them exerted differential impact on SNS usage motives, social capital, ad response, and word-of-mouth, among others. The five values were used as an input for segmenting SNS users and clustering method produced four value segments; experience seeker, interdependent sympathizer, self enhancer, and norm-bound. Each value group not only influenced SNS perceptions and behavioral responses differently, but also showed a systematic relationship with SNS service types. The study findings demonstrate that Schwartz's value system provides a very useful theoretical basis for understanding the psychological mechanism underlying SNS usage.

• Proceedings of the Korea Information Processing Society Conference
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• 2013.11a
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• pp.1096-1097
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• 2013

최근 Twitter를 비롯한 소셜 네트워크 서비스의 급속한 확산으로 인해, 많은 수의 SNS 메시지가 실시간으로 생성되고 있다. 이러한 SNS 상의 모든 글을 읽어보는 것은 현실적으로 불가능하며, 여러 포탈 사이트에서 제공되는 실시간 검색어 순위만으로는 상세 내용을 직관적으로 파악하기 어렵다. 따라서, 이러한 SNS상의 글을 실시간으로 분석하여 최신의 트렌드를 찾고 이와 연관된 내용을 분류 및 요약할 수 있다면, 사용자에게 유용한 최신 정보를 생성하여 제공할 수 있다. 본 논문에서는 Tweet 들을 분석하여 얻은 트렌드 키워드를 기반으로 관련된 Tweet 들을 주제 별로 분류한 후, 각 주제 별로 세부 내용을 요약해서 제공하는 기법을 제안한다. 제안하는 기법은 실시간으로 생성되는 Tweet 내에서 최근 화제가 된 트렌드 및 연관 키워드를 추출해낸다. 그 후, 해당 키워드가 출현한 Tweet 내에서 핵심 키워드를 찾고, 이를 기반으로 Tweet 들을 각각의 주제별로 분류하고 각 주제를 '이슈'로 정의한다. 마지막으로, 특정한 이슈에 해당되는 Tweet들을 분석하여 각 이슈 별로 키워드 리스트 및 단문 형식으로 요약된 줄거리를 생성한다. 제안된 기법을 바탕으로 프로토타입 시스템을 구현하고, 다양한 실험을 통하여 이슈 검출 기법의 유용성 면에서 성능을 평가한다.

• Journal of the Korea Society of Computer and Information
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• v.26 no.12
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• pp.289-297
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• 2021

This study was conducted with the aim of providing help in finding ways to utilize marketing for small business owners closely related to our daily lives by utilizing SNS marketing. To achive these research purpose, the study conducted various statistical analyses using questionnaire of SNS users. The results and implications of this study are as follows. The characteristics of SNS, such as information provision, interactivity and convenience, all showed positive positive effects on the intention of purchase, and the size of the influence was shown in the order of convenience, information provision and interactivity, confirming that the convenience had the greatest impact on the intention of purchase. Based on the impact of SNS characteristics on purchasing intentions, the results of this study confirmed that all three characteristics of SNS, namely interactivity, information provision and convenience, are important variables in predicting consumers' purchasing intentions. Communication with consumers and providing useful information can be seen as essential factors in conducting SNS marketing for small business owners, and if they focus on the benefits that make it easy to access SNS, they will not only be able to increase their purchasing intentions but also to develop strategic ways to lead to the execution of purchases.

• The Journal of Information Systems
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• v.26 no.3
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• pp.211-228
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• 2017

Purpose This study proposes a research model based on Expectation-Confirmation theory in order to investigate impacts of three variables(expectation confirmation, social interaction, and perceived usefulness) on continuous intention to uss SNS in MICE industry. Design/methodology/approach A survey approach was used in order to measure each latent variable in the research model. A total of 140 responses were collected from actual users of SNS in MICE industry. A structural equation modeling with SmartPLS 2.0 was conducted in order to analyze each relationship in the proposed research model. Findings The results indicated the expectation confirmation had a positive impact on the perceived usefulness, social interaction, and satisfaction. Second, perceived usefulness had a significant positive impact on satisfaction and continuous intention to use SNS in MICE industry. Thrid, social interaction had a positive influence on both satisfaction and continuous intention to use SNS in MICE industry. Finally, the relationship between satisfaction and continuous intention in SNS of MICE industry was fully supported.

• Journal of Digital Convergence
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• v.14 no.6
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• pp.177-186
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• 2016

This study aims to explore the effect of characteristics of eWOM(Word-of-mouth) on consumer attitude in SNS(Social Network Service). The characteristics of WOM were classified into characteristics of message (polarity, verifiability, consensus) and characteristics of SNS (social presence, interaction). Data of 554 samples were collected from the university students of SNS users. The key results showed that the polarity of the WOM has a strong positive effect on consumer's attitude, and the degree of verifiability and consensus has a moderating effect on the polarity-attitude relationship. On the contrary, characteristics of SNS such as social presence and interaction have a direct effect on consumer attitude and have no significant moderating effect on the polarity-attitude relationship. This study provides an academic enhancement in the research of the relationship between the characteristics of WOM and consumer's attitude in the SNS environment. Practical implications are also drawn from these findings.

• Proceedings of the Korea Information Processing Society Conference
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• 2010.11a
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• pp.332-335
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• 2010

Web 2.0 이 도래한 이후 SNS(Social Network Service)에 대한 관심이 널리 퍼짐에 따라 인터넷 사용자들은 SNS 를 통하여 수 많은 정보를 교류하고 있다. SNS 에서는 사용자들을 중심으로 수많은 메시지가 생성되고 있으며, 그러한 메시지에는 사람들의 성향이 그대로 묻어 있다. 수많은 사람들이 만들어내는 메시지들은 매우 방대하며 의미 있고 실속 있는 다양한 개인 정보를 담고 있다. 본 논문에서는 트위터를 이용하여 특정 사용자 중심의 네트워크에서 생성되는 메시지들을 집단지성의 측면에서 수집, 분석하는 시스템을 개발하였다. 이 시스템은 사용자 주변에서 오가는 키워드들을 찾아내고, 그런 키워드를 생성하고 있는 사람들이 누구인지를 알아본다. 그 결과 한 사용자 주변에 분포되어 있는 집단들의 특성을 알아볼 수 있다. 특정 사용자 주변에는 어떠한 집단이 있는지 알 수 있고, 그 집단들의 연관성을 분석한다면 이는 마케팅, 서비스 차원의 사회 여러 분야에서 유용하게 쓰일 수 있을 것이다.

• Journal of Internet Computing and Services
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• v.19 no.4
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• pp.123-133
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• 2018

This paper examined how the millennial generation consumes mobile news through social networking sites with regards to user patterns, preference topics and news values, and whether news topics and news values may influence their overall mobile SNS news consumption and interactivity. The findings show that more than 2/3 of respondents consumed mobile SNS news at least once everyday for 30minutes to one-hour. Male millennials tended to use Facebook and Kakao-talk more than female. While the portal site was the most accessed channel for consuming mobile news, SNS was the second, more than the combined use of national daily papers, TV, and internet newspapers. The respondents' demographic characteristics and news topics also affect the form and degree of news interactivity. With regards to their preferences and prioritization of news values, millennials tend to perceive 'impact' and 'usefulness' as being most important, despite the differences of their demographic characteristics. They also preferred those news values most. There were significant differences in terms of preferred news topics according to the demographics' characteristics.

• Journal of Digital Convergence
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• v.11 no.6
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• pp.129-135
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• 2013

With the increasing use of the SNS, WOM(Word of Mouth) has become an even more powerful and useful resource for consumers and marketers. In this paper, we investigated the effects of message polarity (positive, neutral, negative) and type (factual, evaluative) on WOM through SNS (twitter). A total of 13.4 million twitter messages were collected and 1.0 million retweeted messages were analyzed. The results showed that message orientation, type, URL and hashtag have a significant (<0.01) effect on retweet counts and the interaction between message orientation and other factors were observed. It also observed that message type, URL and hashtag have significant (0.05) relationships with retweet speed.

• Information Systems Review
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• v.17 no.1
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• pp.171-197
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• 2015

SNS provider's biggest interest lies in enhancing user satisfaction through user request analysis and developing services to induce continuous use of those devices. In particular, setting up management directions to develop SNS at maturity is important and it is also important to identify the functions which SNS users are pursuing for and identify what's considered unsatisfiable among the services currently provided in light of user expectations. To this end, this study further presents sociality quality and personal emotional quality reflecting the characteristics of SNS to the existing quality factors and expands to Expected Confirmation Model. This study further took into account of sociality quality and personal emotional quality reflecting the characteristics of SNS and approached to them from the perspective of quality in a comprehensive way, analyzed the degree of impact on recognition factors, and presented the factors that had an impact on the satisfaction with usage and intention to use continuously.