• Journal of Digital Convergence
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• v.14 no.3
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• pp.243-250
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• 2016

The importance of platform businesses in the global market is growing, but in Korea, platform businesses with a global competitive edge are rare. This study compared the competitiveness of the local and international platform businesses by analyzing the six success factors of platform businesses. It surveyed 104 professionals in ICT regarding the competitiveness of SNS services (Kakao Talk, Facebook), mobile payment systems (Samsung Pay, Apply Pay), digital content (Naver, YouTube), online shopping (G Market, Amazon) and education (K-MOOC, MOOC). In sum, the local platform business sector, compared to its U.S. counterpart, is lagging behind in creativity, value creation, cost reduction, networking effects and the ability to build, change and develop new ecosystems.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.13 no.5
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• pp.189-194
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• 2013

Social learning is a new study model of future knowledge information society. In different existing study, it lay stress on individual activity and collaborative study with others. It is useful to apply social media services to build social learning platform for collaborative study. In my paper, after existing social media services and social platforms are investigated and analyzed, an effective social learning platform applyng social media services is presented. Also differences and superiority compared to other social platforms is presented through new social learning platform architecture and screen design.

• Journal of Internet Computing and Services
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• v.14 no.1
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• pp.41-52
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• 2013

Social Network Service(SNS) have become very popular during the past few years. Also SNS, an current communication platform, greatly contributes to transmit the information rapidly and strengthen a sense of community and fellowship in military service. however it has vulnerable factors. For example, invasion of privacy, exposure of personal information and military data. In this particular case, it is a deathblow to the military service. Military Social Network Service require to protect the military security threats and disclosure of defense secrets. For such reasons we need the secure SNS that protects from any attacks or vulnerable factors. We present classification of functional type and analysis the SNS architecture. The goal of this work is propose military SNS security functional requirements for practical use safely.

• Journal of Digital Convergence
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• v.13 no.5
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• pp.139-150
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• 2015

Social Network Service is one of platforms rapidly growing in the environment of digital convergence. Most of researches regarding social network service(SNS) done up to the present time are concerning about technic and effectiveness characteristics of SNS. However, this study focuses on the roll of self-disclosure in the use of social network services(SNS). From the perspectives of personal and social motivation rather than the effectiveness and technic characteristics of SNS. the relations among self-disclosure, enjoyment, social ties and intention to use have been tested empirically. The results from this study shows that self-disclosure has not directly effects on the intention to use of SNS, but indirectly effects on it through personal enjoyment and desire to have social ties.

• Journal of Internet Computing and Services
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• v.22 no.6
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• pp.151-162
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• 2021

Steganography is an advanced technique that hides secret messages by transforming them into subtle noise and spreading them within multimedia files such as images, video and audio. This technology has been exploited in a variety of espionage and cyber attacks. SNS messenger is an attractive SNS Service platform for sending and receiving multimedia files, which is the main medium of steganography. In this study, we proposed two noble steganography communication techniques that guarantee the complete reception rate through the use of thumbnail images in the SNS messenger environment. In addition, the feasibility was verified through implementation and testing of the proposed techniques in a real environment using KakaoTalk, a representative SNS messenger in south korea. By proposing new steganography methods in this study, we re-evaluate the risk of the steganography methods and promoted follow-up studies on the corresponding defense techniques.

• Proceedings of the Korea Information Processing Society Conference
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• 2012.11a
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• pp.1225-1226
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• 2012

도시 농업은 도시 과밀로 인한 긴장을 완화시키고 환경과 생태 보전, 경관을 아름답게 꾸미고 색다른 도시문화 형성에 기여도 할 수 있는 다원적인 기능을 제공한다. IT분야에서는 비닐하우스나 옥상녹화 등의 다양한 도시녹화 분야에서 솔루션들을 제공하게 되는데, 규모에 따라 다르지만, 비용이 많이 들어간다는 단점을 가지게 된다. 본 논문에서는 SNS 플랫폼을 저비용의 관리 플랫폼으로 활용할 뿐 아니라 사람들이 텃밭이나 옥상 정원을 통해 공감할 수 있도록 해주는 스마트 농장 관리 시스템을 설계하고 구현하였다.

• Smart Media Journal
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• v.1 no.4
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• pp.72-78
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• 2012

SNS supports the formation of relationships between users in common interests and provides services allowing for clique management, sharing contents, and so on. It also has common functions such as acting as primary platforms smoothing the sharing and distribution by combination with various contents. Hence, questionnaire has been conducted to users of all of Twitter, Facebook and KakaoStory, and the factors affected by each service are presented by statistical analyses of the survey and the results are resolved by dividing them into complete and instrumental social capital. This study will be able to provide a standard for users to select SNS according to their purposes and contribute to development of new SNS or improvement of existing ones.

• Journal of Digital Policy
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• v.3 no.2
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• pp.1-14
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• 2024

The purpose of this study was to analyze the effect of SNS marketing characteristics on hair shop image formation and visit intention in the hair beauty industry. SNS marketing is a strategy to carry out marketing activities through interaction with customers, information provision, information trust, and playfulness using modern social media platforms. It was intended to analyze how these characteristics of SNS marketing affect the formation of hair shop images and visit intention to customers in the hair beauty industry. For the study, a total of 307 customers with experience using hair-related SNS were surveyed. The questionnaire included items related to SNS marketing characteristics, hair shop images, and visit intention, and the collected data was statistically analyzed using SPSS 26.0. The results of the research problem were derived by applying analysis methods such as frequency analysis, factor analysis, reliability analysis, correlation analysis, simple regression analysis, multiple regression analysis, and mediated regression analysis. As a result of the study, it was found that information provision, information reliability, playfulness, and interaction, which are characteristics of SNS marketing, have a positive effect on the formation of hair shop images. In addition, it was confirmed that the hair shop image had a positive effect on the intention to visit. In addition, it was found that the hair shop image plays a mediating role between the SNS marketing characteristics and the intention to visit. This provides important insights that can improve image formation and customer visit intention in the hair beauty industry through SNS marketing.

• Proceedings of the Korea Information Processing Society Conference
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• 2017.11a
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• pp.937-940
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• 2017

본 연구는 유저 크리에이티브 지식 매체를 생성함에 있어 기존 일방적 전달 방식에서 탈피하여 자신이 가지고 있는 정보를 다수의 사람과 공유 할 수 있는 3세대 다방향(Mash-Up) 교육에 관한 연구하여 SNS와 클라우드 요소를 통해 공유할 수 있는 플랫폼을 개발하는 방안을 제안하고 있다. 본 연구는 1)LIVE_BOARD 2)TIMELINE 3)NEWS FEED 4)PLANNER로 나뉜다. Live_Board의 실시간 스트리밍을 활용하여 영상 이미지기반 의사소통을 지원하고, SNS적 요소인 TimeLine, News Feed를 통해 다른 사용자들과 정보 공유를 할 수 있고, Planner를 통해 개인 스케줄 관리를 할 수 있는 플랫폼이다.

• The Journal of the Korea Contents Association
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• v.19 no.4
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• pp.174-186
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• 2019

Twitter is very popluar with users who desire social interaction as it is a highly effective method of communicating compared to traditional communication platforms; and thus has garnered considerable interest from the academic community. This research reveals how election results can be predicted by the factors of total volume of messages, positive messages and negative messages tweeted about a candidate. Social matrix analysis revealed that the quantity of twitter messages was a strong predictor of election results in the 18th presidential election in Korea. In addition, more positive messages than negative messages about a candidate from twitter users recorded better results in the election. This research found that the total quantity of messages, positive messages, and negative messages as key factors for predicting election result. Future studies should investigate other SNS platforms to discover what is the most effective communication strategy on each platform.