• Knowledge Management Research
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• v.16 no.1
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• pp.143-170
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• 2015

In the rapidly changing business environment, companies are introducing information technology to effectively manage internal resources in order to achieve a sustainable competitive advantage. We presented the Enterprise Social Network Service(SNS) as new information technology. Enterprise SNS provided employers with sociable functions like Facebook while supporting general task such as mail, authorization and notice. In this research, we focused on Enterprise SNS and suggested self-disclosure, enjoyment in helping others, perceived organizational support, generativity capacity as antecedent variables of Enterprise SNS usage. In addition, we verified the effect of the mediating role of generativity capacity between Enterprise SNS usage and job performance. For empirically verifying the proposed model, we collected sample data from 225 workers using Enterprise SNS and conducted analysis using a structural equation modeling. We expect that this study provides managers who are interested in introducing enterprise SNS with insights on how to facilitate enterprise SNS usage. Also, this study suggests useful theoretical implications to researchers who are interested in the use of enterprise SNS from the context of knowledge management.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.19 no.4
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• pp.454-462
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• 2018

This study was conducted to examine SNS addiction proneness and interpersonal satisfaction among undergraduate students and the relationships between these two variables, as well as to establish baseline data for appropriate intervention of SNS addiction prevention. The participants of this study were 316 undergraduate students in D and K city, and data were collected between June 30 and July 30, 2017. Data were collected by a self-administered online survey and analyzed by descriptive statistics, t-tests, and Pearson's correlation coefficients using SPSS. The results showed that SNS addiction proneness and interpersonal satisfaction were negatively correlated (r=-0.57, p<0.01), indicating students with higher SNS addiction had lower interpersonal satisfaction. There were no significant differences in SNS addiction proneness and interpersonal satisfaction by gender (t=0.05, p=0.963), number of SNS networks (t=0.66, p=0.513), or number of SNS-only networks (t=-1.24, p=0.216). Students who used SNS for data collection showed significantly higher interpersonal satisfaction (t=3.02, p=0.030); however, there was no significant differences in SNS addiction proneness among purposes for using SNS (t=0.39, p=.759). The results of this study will be useful baseline data for developing an intervention to improve interpersonal satisfaction and prevent SNS addiction among undergraduate students.

• Journal of Digital Convergence
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• v.10 no.2
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• pp.237-242
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• 2012

This paper proposed image matching technique that find out the truth of the wild ginseng through smart phone when the common person discovered a plant like a wild ginseng. Also sharing a location and information by SNS, we can improve the probability of wild ginseng discovery. Image matching technique using OpenCV porting in android finds out the truth of the wild ginseng with comparing existing it. Thus we are able to compare and analysis them in our application program. For more verification, we added marking function of wild ginseng position for information sharing between users.

• Proceedings of the Korea Information Processing Society Conference
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• 2016.10a
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• pp.47-49
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• 2016

최근 SNS(social networking service)의 사용이 급증함에 따라 SNS에서 발생하는 데이터의 분석이 활발해졌다. 하지만 SNS 데이터는 빠르게 생성되며 정형화 되어 있지 않은 빅데이터이기 때문에 그대로 수집할 경우 분석하기가 어렵다. 본 논문은 분산 스트리밍 처리 기술인 Storm을 사용하여 트위터에서 실시간으로 발생하는 데이터를 수집 및 집계하고, 태그 클라우드를 사용하여 집계 결과를 동적으로 시각화하고자 한다. 또한 사용자가 쉽게 키워드를 입력하고 시각화 결과를 실시간으로 확인할 수 있도록 웹 인터페이스를 구현한다. 그리고 결과를 통해 태그 클라우드의 결과가 시간에 따라 바르게 시각화되었는지 확인한다. 본 논문은 빠르게 발생하는 SNS 데이터로부터 각 키워드와 관련된 정보를 시각화하여 각 사용자에게 제공할 수 있는 우수한 결과가 사료된다.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2017.10a
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• pp.189-190
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• 2017

This study analysis that how related to media use time before shuteye time. Excessive SNS and smatphone use were related to sleepquality and pattern. A positive correlation has been found between the time spent using smartphone before bedtime and sleep deprivation and disability phenomenon. The time spent is found to also affect the language of youths and behavioral violence.

• The Korean Journal of Food And Nutrition
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• v.28 no.3
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• pp.358-368
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• 2015

The study is focused on analyzing the SNS using characteristics of the people surveyed, as for the SNS acceptance channel of the food service corporations, accounted voluntarily for 71%. The SNS food service information regarding information of menu, location of store, price, coupon, taste evaluation, event, promotion, reservation and store atmosphere was researched. The most preferred information sharing for SNS food service were researched and found Facebook, blog and others in increasing order. The most preferred media to obtain SNS food service information were smart phone, desktop computer and others. The result of verifying differences in the perceived ease of use were also evaluated according to the food service corporation of SNS using characteristics of the people and was found: the longer period of SNS use, longer was access time: more number of visiting times, higher perceived ease of use. As for the difference in the perceived service value: longer the period of SNS use, more preferred was the blog: the more number of visiting times, the higher perceived service value. As for the difference in the online mouth-to-mouth intention: longer the period of SNS use, longer was access time: the more number of visiting times, the higher online mouth-to-mouth intention. Therefore, these research results provide useful implications in the working-level aspects such as providing basic data and the academic approach of the study, when the food service corporations establish marketing strategies through SNS.

• Journal of Internet Computing and Services
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• v.17 no.2
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• pp.87-95
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• 2016

Considerable research over the years has been devoted to ascertaining the impact of social media on political settings.In recent days, Social Network Sites (SNS) such as Facebook allowed users to share their political beliefs, support specific candidates, and interact with others on political issues. This study examines the role of SNS as the means of political campaign. The study tasks the case of the 2015'sspecial election, Seoul Korea. The analysis aims to identify how candidates use Facebook or Twitter to interact with voters by applying functional theory of political campaign discourse developed by Benoit. In this study, we analyzed the candidates' SNS messages in terms of political behavior such as self-expression, informing policy, asking voters to participate in political events. Among them the results indicated that two candidates, Jung, Dong Young and Byun, Hee Jae, both of them used SNS to express themselves the most. The study also found that two candidates used mainly the strategy called 'acclaim' which praises their own strengths. In terms of topics of SNS messages (policy versus character) there was different between two candidates. Jung, sent message in relation to 'character' the most, while Byun contained 'policy' message on SNS the most. Based on these findings implications and directions for future studies are discussed.

• Information Systems Review
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• v.17 no.3
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• pp.183-202
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• 2015

In recent years, various Social Network Service (SNS) is emerging as a new means of communication were enjoying a lot of popularity among consumers. Accordingly, an online word-of-mouth marketing through the SNS is prevalent. At this moment, the majority of companies selects the SNS used as resources of online word-of-mouth marketing on the assumption that the more a SNS is popular (followers or visitors based), the more it has an influence. In addition, the existing studies about the popularity or influence on the SNS were not distinguish them separately. The former researchers used popularity mixed with Influence. Therefore, this study, we have conducted a survey with people in their twentieswho use SNS most to do an empirical analysis of the relationship between popularity and Influence on the SNS. According to the results of this study, it has a weak correlation between popularity and Influence. So, it is necessary to distinguish between popularity and influence.

• Proceedings of the Korea Water Resources Association Conference
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• 2006.05a
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• pp.391-395
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• 2006

본 연구에서는 새로운 일차원 하천 흐름모형인 SNS(Super- aNd Sub critical flow model)를 개발하였다. 이 모형은 연속방정식과 운동량방정식을 상류이송기법을 이용하여 해석하고, 생성항을 처리할 수 있는 특별한 기법을 사용하고 있다. SNS 모형은 보나 여수로 등에서 발생하는 불연속 흐름을 모두 해석할 수 있고, 우리나라와 같이 하상의 변화가 매우 심한 하천에서도 쉽게 적용할 수 있는 장점이 있다. 본 연구에서 개발한 SNS 모형은 우리나라 하천에서와 같이 하상의 변화가 매우 심하고, 보와 같은 구조물이 많이 설치되어 있는 하천에서 추가적인 작업없이 바로 적용할 수 있다. 또한 댐 여수로와 같이 매우 빠른 흐름, 도수가 발생하는 흐름에서도 추가적인 내부경계조건없이 다양한 조건의 흐름을 해석할 수 있는 장점이 있다. 부정류 상태의 다양한 흐름을 모의할 수 있고, 상하류 경계조건을 고정하여 부등류를 모의할 수도 있다. 본 연구에서 개발한 SNS 모형은 우리나라의 특별한 상황에 대한 고려가 미흡하였던 기존의 모형에 비해 여러 가지 장점을 지니고 있기 때문에 국내 하천의 다양한 흐름조건에 널리 사용될 수 있을 것으로 판단된다.

• Journal of Digital Convergence
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• v.10 no.5
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• pp.245-249
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• 2012

The rapid adoption of smartphones led to using SNS(Social Network Service) and many organizations use of SNS as a strategic tool for marketing. Utilization of SNS in the organizations separately operated each channel due to technical problems with SNS. So, the channel separations is required much more operation and management cost to organizations. In this paper, we apply to HTML5 as the web standard technology, and implement to the integrated channels, and the result showed.