• Journal of Digital Convergence
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• v.10 no.11
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• pp.261-269
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• 2012

The purpose of this study was to suggest policies that take advantage of social networking services in the field of social commerce. Presented it, in order for the concept of a social network service for the first time, were examined by four representative types of social network services, and analyzed the characteristics of each. Domestic current status and concepts presented and the addition of social commerce, and analyzed the characteristics of each type proposed six kinds. Utilizing social network services to the end, was to suggest measures that can be incorporated into the social commerce business. The results of this study suggested that the marketing implications for how social network services in the social commerce business that can be utilized in companies that will say that its worth.

• The Journal of Bigdata
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• v.2 no.1
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• pp.71-75
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• 2017

The topic of big data has gained attention from the industry and the academics, because of the revitalization of social network services. The purpose of this study is to analyze the application cases of big data according to the categories of U-City services. The result from this study is that inside and unstructured information is more applied than outside and structured information in order to generate big data.

• Informatization Policy
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• v.18 no.3
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• pp.3-24
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• 2011

The purpose of this paper is to indicate possible future research directions for social network services(SNS) by reviewing past and recent trends in SNS studies. The framework used for the analysis is the New Media Evolutionary Model(NMEM) proposed by Wimmer and Dominick, a four-phase system for research on new media development. Although early forms of SNS emerged in the late 1990s, most research in this field has been published in the past five years. We searched for SNS-related articles published from 2006 to August 2011 from academic journal archives in information systems, communication, marketing, and other fields, and classified them according to the NMEM to analyze the current state of SNS research. Researchers in this field have so far focused on the first two phases of the model(the media itself and use of the media), but little research has been conducted on the third(effects of the media) and fourth phases(improvements in the media). Although SNS research is still in its early stages, we suggest the need for more studies on the effects of SNS and how it can be improved. Very few studies test existing theories or build new theories related to SNS. Thus, a more rigorous approach towards SNS research is warranted, and future research should focus on theory building and testing.

• The Korean Journal of Applied Statistics
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• v.26 no.6
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• pp.903-913
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• 2013

Social network services generate a considerable amount of social data every day on personal feelings or thoughts. This social data provides changing patterns of information production and consumption but are also a tool that reflects social phenomenon. We analyze negative emotional words from daily blogs to detect the change in blooger sentiment using multivariate control charts. We used the all the blogs produced between 1 January 2008 and 31 December 2009. Hotelling's T-square control chart control chart is commonly used to monitor multivariate quality characteristics; however, it assumes that quality characteristics follow multivariate normal distribution. The performance of a multivariate control chart is affected by this assumption; consequently, we introduce the support vector data description and its extension (K-control chart) suggested by Sun and Tsung (2003) and they are applied to detect the chage in blogger sentiment.

• The Journal of Korean Association of Computer Education
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• v.17 no.6
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• pp.135-146
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• 2014

The study has compared the effects in SNS-utilized instruction that each of self centric activities and social interaction added social activities affected self initiative, attitudes and self efficacy to information technology respectively. The research methods utilized the pre experimental design as nonequivalent experimental group. The data was analyzed by paired t-test and content analysis. The results showed that the SNS class utilized self-centric activities were effective in self-initiative and attitudes toward information technology, while social interaction added social activities were effective in not only self-initiative and the attitudes of information technology but also self efficacy of information technology. And content analysis of the effects of the education showed that information sharing, instancy and accessibility were advantageous but information security and privacy issues were problematic. That is, it was confirmed that when self-centric activities and social interaction activities were practised simultaneously in SNS-utilized instruction, the self initiative which learners planed and executed by themselves, the attitudes and self efficacy of information technology which were able to enhance learning ability and to show satisfaction to individual learning were improved.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.16 no.3
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• pp.121-143
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• 2021

As the social economy emerges as one of the alternatives for solving social problems, interest and experiments on social franchise, a methodology for scaling the social economy, continue to increase. The success or failure of social franchise has a huge impact on franchisors, members of franchisees, as well as beneficiaries, local residents, and stakeholders in the region, but research on ways to increase their chances of success is still insufficient. Based on previous studies, this study tried to derive success factors by analyzing the effects of social franchise characteristics on business performance, and to understand the mediating effect of franchise autonomy, which is the differentiation point of social franchises, between characteristic factors and business performance. Social value orientation, social economy experience, local network utilization, and customer orientation were derived as characteristic factors affecting business performance, and franchise autonomy was set as a mediating variable, and a survey was conducted for franchisee members and their influence was analyzed. Through this study, it was found that social economy experience and local network utilization had a positive (+) effect on economic performance, and social value orientation, local network utilization, and customer orientation had a positive (+) effect on social performance. Also, the results of franchise autonomy playing a mediating role between social economy experience, local network utilization and economic performance, and a mediating role between local network utilization and social performance were presented. This study has significance as the first study to conduct a full-scale empirical study on social franchises. It is hoped that theoretical research on social franchises will be more active in the future and will be used as a useful reference for performance creation for organizations that seek or already operate social franchises.

• The Journal of the Convergence on Culture Technology
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• v.6 no.1
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• pp.111-120
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• 2020

As an application of big data and artificial intelligence techniques, this study proposes an atypical language-based sentimental opinion poll methodology, unlike conventional opinion poll methodology. An alternative method for the sentimental classification model based on existing statistical analysis was to collect real-time Twitter data related to parliamentary elections and perform empirical analyses on the Polarity and Intensity of public opinion using attribute-based sensitivity analysis. In order to classify the polarity of words used on individual SNS, the polarity of the new Twitter data was estimated using the learned Lasso and Ridge regression models while extracting independent variables that greatly affect the polarity variables. A social network analysis of the relationships of people with friends on SNS suggested a way to identify peer group sensitivity. Based on what voters expressed on social media, political opinion sensitivity analysis was used to predict party approval rating and measure the accuracy of the predictive model polarity analysis, confirming the applicability of the sensitivity analysis methodology in the political field.