• 프린팅코리아
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• v.10 no.7
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• pp.108-111
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• 2011

한국후지제록스(대표 정광은)는 지난 6월 1일 서울 중구 정동에 위치한 한국후지제록스 본사 쇼룸에서 고객들을 대상으로 '소셜네트워크서비스(SNS)를 활용한 디지털 인쇄 사업'세미나를 개최했다. 이번 세미나는 소셜미디어 PR전문업체인 소셜링크 이중대 대표가 '소셜 미디어 커뮤니케이션에 대한 이해"라는 주제로 쇼셜 미디어의 의미, 출판업계 등 기업의 소셜 미디어 활용 현황, 쇼셜 미디어를 기반으로 개인 브랜딩을 구축하기 위한 방법을 발표했다. 이어 SNS를 사업에 활용하고 있는 인쇄 업체의 실제 사례로 박진만 마음커뮤니케이션 대표가 뉴미디어 환경에서 소비자들과 소통하는 방법, 마케팅 접근법 등을 소개했다.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2012.05a
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• pp.592-593
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• 2012

Most of the previous works of visualization focus on representing user's relationship on social network by a complex multi dimension graph. However, this method is difficult to identify the important of relationship to focus on personal user intuitively. Besides, the content of written information by user to reflect the interrelation between users is insufficient, since most of visualization methods represent the user relationship using an amount of message and the reference of user's message. In order to resolve above problem, this paper proposes a new visualization method using the user's correlation and user relationship of network node.

• The Journal of the Korea institute of electronic communication sciences
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• v.9 no.10
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• pp.1153-1159
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• 2014

In this paper we propose novel method for cost of harbor facility of redevelopment of Mookho harbor at Donghae city by using ICT(Information Communication Technology) and Social Network System that is able to participate most residents instead of partly participation for harbor development. In order to do this, we analyze urban marketing which was maximally reflected opinion of resident by using previous simple questionnaire as well as various SNS (Social Network System) as method of effective resident's participation in process harbor redevelopment. We perform optimal selection for ratio of resident's participation. We also propose calculation of optimal construction cost and method of urban marketing.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.21 no.9
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• pp.310-320
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• 2020

BTS has established itself as a leading Korean popular music group in the global mainstream music market. In addition, BTS's fashion style is receiving so much attention that it is featured in the social networks of foreign media and the public. The purpose of this study considers BTS' fashion trends based on the analysis of their fashion styles. The methods and scope of this study have been combined with theoretical studies related to the fashion impact of BTS and BTS, as well as content analysis studies based on the image of BTS over the last five years. The results of this study are as follows. First, it was found that they pursue classic and modern styles through suits that emphasize straight silhouettes, the use of achromatic colors, and simplified decorations. Second, it has been shown that BTS prefers a casual style of free-spirited and comfortable sensibility by matching a jacket with a round shoulder line, toned-down skinny jeans, hood T-shirts, lettering patterns, and vivid colors. Third, BTS pursues a dynamic and active sporty style by utilizing the sleeveless basketball shirts, round neckline baseball shirts and shorts, training pants, and overfit sweatshirts with an emphasis on lettering patterns.

• Journal of the Korea Convergence Society
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• v.12 no.7
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• pp.45-51
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• 2021

In accordance with the rapid non-face-to-face environment and mobile first strategy, the explosive increase and creation of many structured/unstructured data every year demands new decision making and services using big data in all fields. However, there have been few reference cases of using the Hadoop Ecosystem, which uses the rapidly increasing big data every year to collect and load big data into a standard platform that can be applied in a practical environment, and then store and process well-established big data in a relational database. Therefore, in this study, after collecting unstructured data searched by keywords from social network services based on Hadoop 2.0 through three virtual machine servers in the Spring Framework environment, the collected unstructured data is loaded into Hadoop Distributed File System and HBase based on the loaded unstructured data, it was designed and implemented to store standardized big data in a relational database using a morpheme analyzer. In the future, research on clustering and classification and analysis using machine learning using Hive or Mahout for deep data analysis should be continued.

• Journal of Korea Society of Industrial Information Systems
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• v.19 no.2
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• pp.119-135
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• 2014

This study is aimed at understanding the factors behind deciding to accept a social network service (SNS) from the viewpoint of tourists who are users of tourism SNS. The study also seeks to clarify the effects these deduced factors have on the intention of users to continuously use SNS. To this end, individual properties (such as self-efficacy, socio-cultural effects, social presence and people's innovativeness), systematic properties (like system quality and information quality)and usefulness/availability were used as factors with regard to the decision to accept tourism SNS based on previous studies and efforts were made to structurally clarify the effects of such previous factors on people's intention to continuously use SNS through perceived value and satisfaction. SNS had significant effects on satisfaction and, furthermore, significantly affected tourists' intention to continuously use it. Based on such study results, factors behind deciding to accept SNS from the viewpoint of tourists affected customers' perceived value and satisfaction and ultimately affected their intention to continuously use SNS. To achieve the purpose of the study, a survey was conducted on about 250 Busan residents who had used SNS in relation to tourist activities, such as exhibitions, conventions, accommodation, trips, aviation service and transportation. According to an empirical study, factors behind deciding to accept tourism SNS, including individual properties, systematic properties and usefulness/availability had statistically significant effects on perceived value. The usefulness/availability factor had the largest influence, in particular, followed by the systematic factor and individual factor. The value perceived in the process of using tourism SNS had significant effects on satisfaction and, furthermore, significantly affected tourists' intention to continuously use it. Based on such study results, factors behind deciding to accept SNS from the viewpoint of tourists affected customers' perceived value and satisfaction and ultimately affected their intention to continuously use SNS.