• The Journal of the Korea Contents Association
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• v.11 no.6
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• pp.242-251
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• 2011

Social media in the press is often described as a future oriented and pioneering image. These press reports have played an important role in the proliferation of social media. This paper investigates social implications of social media discourse through the analysis of the press's reports. As a result, social media in the press was described as wave of an irresistible social changes. Corporations, governments, politicians and even the general public were reported to have shown a positive attitude towards using social media. It means that people accept disciplinaire needed for the time for progress toward a new future.

• Electronics and Telecommunications Trends
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• v.28 no.1
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• pp.62-71
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• 2013

최근 빅데이터 시대를 맞이하여 소셜미디어가 중요한 정보의 소통수단으로 급부상함에 따라 소셜웹 이슈 탐지 및 예측분석 기술이 큰 주목을 받고 있고, 기업 정부 등에서 정치/경제/사회문화적 이슈들에 대한 온라인 동향 분석 및 이슈 예측 기술의 수요가 급증하고 있다. 본고에서는 페이스북, 트위터 등의 소셜미디어에 대한 온라인 동향 분석 및 모니터링 기술 개발의 국내/국외 상용화 및 연구 현황을 소개한다. 또한, 사회적 동향을 분석해서 만들어진 예측모델에 기반해서 이슈의 향후 전개 과정에 대해 정량적으로 예측하는 기술 현황을 국내와 국외로 나누어 소개한다.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2014.05a
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• pp.629-630
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• 2014

서비스 산업에 있어 기업 간의 경쟁이 날로 심화되어 가고 있는 가운데 효율적인 경영을 위해서는 시시각각으로 변하는 고객의 니즈를 파악하기 위해 그 어느 때 보다도 고객피드백이 필요한 시대이다. 최근 기업에서는 다양한 고객의 목소리가 담겨 있는 소셜 미디어상의 빅 데이터를 이용하여 고객의 피드백을 파악하려는 노력을 하고 있다. 따라서 모바일 스마트 혁명의 핵심 자원인 빅 데이터를 어떻게 분석, 활용 할 것인지 많은 기업들의 관심이 집중되고 있다. 본 연구에서는 이러한 소셜 빅 데이터를 분석하는 기술로서 최근 이슈를 감지하고 예측하는 방법을 제안하다. 이것은 기관이나 기업 등 분석대상과 관련된 소셜 데이터 자체를 분석하거나 그 외 관련 데이터와 연관 관계 분석 등 여러 가지 방법을 조합하여 부정적 이슈 등의 탐지가 가능하다.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.14 no.4
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• pp.199-209
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• 2019

The importance of business strategy for successful social media engagement has quickly increased as more businesses engage in social media. The importance is even greater for startup companies because startup companies are genuinely new to business, and they need to increase their presence in the market, and quickly access future customers. The objective of this paper lies in exploring key indicators of social media engagements by selected startup companies. The key indicators include two aspects of social media usages by the companies: i) overall social media activities, and ii) properties of network structure of the information flow platform provided by social media service. To better assess and evaluate the key indicators of social media usages by startup companies, the indicators will be compared with those of selected large established companies. Twitter is selected as a social media service for the analysis of this paper, and using Twitter REST API, data regarding the key indicators of overall Twitter activities and the Twitter follower-network of each company in the sample are collected. Then, the data are analyzed using social network analysis and hierarchical clustering analysis to examine the characteristics of the follower-network structures and to compare the characteristics between startup companies and established companies. The results show that most indicators are significantly different across startup companies and established companies. One key interesting finding is that the startup companies have proportionally more influencers in their follower-networks than the established companies have. Another interesting finding is that the follower-networks of startup companies in the sample have higher modularity and higher transitivity, suggesting that the startup companies tend to have a proportionally larger number of communities of users in their follower-networks, and the users in the networks are more tightly connected and cohesive internally. The key business implication for the future social media engagement efforts by startup companies in general is that startup companies may need to focus on getting more attention from influencers and promoting more cohesive communities in their follower-networks to appreciate the potential benefits of social media in the early stage of business of startup companies.

• Journal of the Korea Society of Computer and Information
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• v.24 no.12
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• pp.85-92
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• 2019

Companies can identify user groups or consumption trends by collecting and analyzing opinions of many users on special subjects or their products as well as utilize them as various purposes such as predicting some specific trends or marketing strategies. Therefore current analyzing tools of social media have come into use as a means to measure the performances of social media marketing through network's statistical analysis. However these tools require expensive computing and network resources including burden of costs for building up and operating complex software platforms and much operating know-how. Hence, small companies or private business operators have difficulty in utilizing those social media data effectively. This paper proposes a framework applied into developing analysis system of social media. The framework could be set up and operate the system to extract necessary social media's data. Also to design the system, this study suggests a meta-model of proposed framework and to guarantee completeness and consistency, a formal specification of meta-model by using Z language is suggested. Finally, we could verify the clearness of framework's design by performing Z model checking of formal specification's output through Z-EVES tool.

• The Journal of the Korea Contents Association
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• v.19 no.1
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• pp.74-85
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• 2019

This Study explores the reason why the social media like Cyworld, Iloveschool in Korea in the viewpoint if the layered model by interview. As a result the success factor in the viewpoint of layered model, user used social media for fulfilling the need for linking with other users and the social media offers the customized contents to user. Finally the social media dominated the market in advance. Facebook and Kakao talk are good examples of successful media. The failure factors are to care less about what other users want, to limit the expand of platform and not to copy with the change of the media environment. Iloveschool, Cyworld and Twitter are the examples of failure social media in Korean society. This study highlights the importance of the sensitivity of the change of environment. The expert mentioned the importance of 4th industrial revolution technology like AI, Big data and expected that new technology will emerge and the service will be developed by the change of user's taste.

• 한국체육학회지인문사회과학편
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• v.56 no.4
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• pp.397-413
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• 2017

The purpose of this study is to introduce the case and to provide related information for the physical education major to handle and utilize the social big data through the exploratory study for the application of sports industry in the fourth industrial revolution. For this study, data was collected from the article database, which covers the keyword such as 'Social Big Data', 'Sports' and so on. The analyzed articles were 86 articles. As a results, The research on social big data applied to sports industry are as follows: 1) Analysis of major issues related to sports fans' interests and sports events, 2) A study on media sports engagement, 3) The prediction analysis of sports game based on the sentiment analysis, 4) Development of salary estimation model for professional player in sports, 5) Research trend analysis and so on. In conclusion, the social big data analysis technology in the sports industry and management can be utilized variously. Therefore, the specialists of the sports industry and management field need to learn the techniques, to acquire the know-how for the research project, to convert the convergence thinking.

• The Journal of the Korea Contents Association
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• v.14 no.4
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• pp.336-345
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• 2014

Social dating contents that transformed from online dating service needs understanding about the market status, magnitude, business concept and related area, and its development process. Nowadays the field of dating service had expanded from off-line to on-line, and then started to be changed to social dating services with the development of the highest smart phone penetration rate. Therefore, we investigated about the market, business concept and its functions of social dating application, and then classified the typology of those social dating applications according to feature with utilization rate of user. We had described about its partial deficits and improvements on the social dating application through comparative analysis and business model analysis about successful case. As conclusions, we suggested future strategies of competition and directivity with an improving way about concrete plan for industry development of social dating application.

• The Journal of the Korea Contents Association
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• v.14 no.5
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• pp.332-346
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• 2014

The study supports not only the implicative results and strategic implication to social media staff and managers, but also extended the marketing studies in Korean financial institutions. This paper examined the effect of market orientation on social media marketing performance in the Korean financial institituions. Narver and Slater's market orientation theory was employed for the structural equation model framework. Indirect and direct implication on the social media marketing performance were analyzed. This study conducted online survey social media marketing staff and managers in 230 Korean financial institutions such as banks, securities, asset management, credit card, insurance companies. 102 responses were collected and analyzed. The results revealed that financial institutions' customer orientation, competitor orientation and inter-functional coordination have a positive impact on marketing communications execution degree but not direct effect on social media marketing performance except competitor orientation. Although it does not appear to have a statistically significant association between market orientation two concepts such as customer orientation and inter-functional coordination, and social media marketing performance directly, the competitive orientation has statistically positive impact.

• The Journal of Bigdata
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• v.2 no.1
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• pp.27-39
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• 2017

The importance of online communication is getting increased by the rapid growth of smartphone supply and Social Network Service (SNS) use. Catching up with the trend, firms are actively use SNS to improve brand image, promote products, and communicate with customer. On the one hand, SNS is the channel for firms' marketing activities, but on the other, it is also the channel where the events related to the firms propagate in real time. Firms are led to unexpected state of crisis, when events are quickly spread out on SNS. Then firms are assessed their image by the way they deal with the state of crisis. This paper proposes to figure out user response on SNS according to each crisis response strategies by analyzing event-related twitter data when crisis situations of firms arise. We classify crisis response strategies into response attitude, defensive and accommodative response, and response speed, fast and slow response. This paper suggests optimal crisis response strategy to firms regarding state of crisis propagated on SNS.