• Journal of Information Technology Services
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• v.14 no.2
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• pp.143-158
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• 2015

Companies and governments in an era of big data have been tried to create new values with their data resources. Among many data resources, many companies especially pay attention to data which is obtained from Social Network Service (SNS) because it reveals precise opinion of customers and can be used to estimate profiles of them from their social relationships. However, it is not only hard to collect, store, and analyze the data, but system applications are also insufficient. Therefore, this study proposes a S-POS (Social POS) system which consists of three parts; Twitter Side, POS Side and TPAS (Twitter&POS Analysis System). In this system, SNS data and POS data which are collected from Twitter Side and POS Side are stored in Mongo D/B. And it provides several services with POS terminal based on analysis and matching results which are generated from TPAS. Through S-POS system, we expect to efficient and effective store and sales managements of system users. Moreover, they can provide some differentiated services such as cross-selling and personalized recommendation services.

• The Journal of Korean society of community based occupational therapy
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• v.6 no.1
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• pp.1-11
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• 2016

Purpose : By confirming the relationship of the Social Network Service(SNS) strength and social participation, it tries to present the basic data of the social participation of the university students. Method : Students that department of Occupational Therapy in K University was done to target 136 people. SNS strength was measured to be stored in the mobile phone SNS friends and KakaoTalk average call times. measurement tool of social participation was used Maastricht Social Participation Profile(MSPP) as modifed by Godelief et al.(2009). MSPP is composed of formal social participation(undertaking) and informal social participation(contact with friends and acquaintances and contact with family) item. Results : The study shows a significant correlation between the number of SNS friends and Undertaking item and between KakaoTalk average call times and Contact with friends and acquaintances item(${\alpha}=0.05$). Conclusion : College student SNS strength and social participation showed a correlation. Therefore, The higher the SNS strength and social participation is determined to have a positive impact on the daily life of college students.

• Journal of Advanced Navigation Technology
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• v.17 no.3
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• pp.325-331
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• 2013

Social network services(SNS) has been used as a means of communication for user or express themselves user. Therefore, SNS has a variety of information. This information is useful to help the investigation can be used as evidence. In this paper, A study of mobile digital forensic procedure for crime investigation in social network service. Analysis of database file taken from the smartphone at social network service application for mobile digital forensic procedure. Therefore, we propose a procedure for the efficient investigation of social network service mobile digital forensic.

• Journal of Digital Convergence
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• v.13 no.8
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• pp.161-168
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• 2015

Given social problems of social network service (SNS) addiction, it is critical to understand user's formation mechanism of SNS addiction. Since a number of studies have demonstrated the negative outcomes of excessive SNS use, the researchers examined important antecedents of SNS addiction as SNS habit that is considered as a key driver of SNS addiction. Moreover, the effects of self-expression, network management, and information search on SNS addition formation were investigated. The proposed theoretical model was empirically tested by using longitudinal survey data collected from 206 Facebook users. The analysis results indicate that SNS habit plays an important role in forming SNS addiction. Further, self-expression, network management, and information search influence SNS addiction through SNS habit. The analysis results offer some in-depth perspectives to SNS providers and government that establish policies or digital convergence strategies to induce healthy SNS use.

• International Journal of Internet, Broadcasting and Communication
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• v.8 no.3
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• pp.1-11
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• 2016

This study investigates whether different SNS with different characteristics have different impacts on participatory social capital in Korea. At least in Korea, SNS are categorized into five types (community, blog, micro-blog, profile-based service and instant message service), and participatory social capital is specified by three types (off-line political participation, on-line political participation, on-line civic engagement). Using Nielsen KoreanClick's web-based survey data, our regression analysis shows that SNS which are more open and focused on information sharing contribute more to participatory social capital.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.11 no.6
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• pp.61-69
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• 2016

The purpose of this study is to examine the factors influencing usage intention of social network service (SNS) in social enterprise. This model tests various theoretical research hypotheses relating the social enterprise, task-technology fit (TTF), technology acceptance model (TAM), and usage intention of SNS. The data were gathered from 84 questionnaire respondents. Smart partial least square (PLS) 2.0 have been utilized for deriving the study results. The result of hypothesis testing are as follows. First, TTF positively influence perceived usefulness, perceived ease of use, and usage intention of SNS. Second, perceived usefulness positively influence usage intention of SNS. But perceived ease of use does not influence usage intention of SNS. This study will provide theoretical and practical implications of TTF and usage intention of SNS in social enterprise.

• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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• v.34 no.2
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• pp.111-120
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• 2016

Prior knowledge about the SNS (Social Network Services) datasets is often required to conduct valuable analysis using social media data. Understanding the characteristics of the information extracted from SNS datasets leaves much to be desired in many ways. This paper purposes on analyzing the detail of the target social network services, Twitter, Instagram, and YouTube to establish the spatial informatization process to integrate social media information with existing spatial datasets. In this study, valuable information in SNS datasets have been selected and total 12,938 data have been collected in Seoul via Open API. The dataset has been geo-coded and turned into the point form. We also removed the overlapped values of the dataset to conduct spatial integration with the existing building layers. The resultant of this spatial integration process will be utilized in various industries and become a fundamental resource to further studies related to geospatial integration using social media datasets.

• Journal of Information Technology Applications and Management
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• v.20 no.3
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• pp.31-42
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• 2013

With a focus on Facebook, the most popular social network service (SNS), this research tried to find out which type of motivation makes users to spend more time on the SNS and in the same vein, which type of motivation makes users to believe that they will continue to use the SNS. The result shows that the need for play (entertaining) and image as social reputation affect the current amount of use, while the needs for information search, building relationship, and entertainment would make them continue to use.

• Journal of the Korea Society of Computer and Information
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• v.20 no.1
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• pp.255-263
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• 2015

In this paper, we suggest a plan to take advantage of the SNS data to proactively identify the information on crime risk factor and to prevent crime. Recently, SNS(Social Network Service) data have been used to build a proactive prevention system in a variety of fields. However, when users are collecting SNS data with simple keyword, the result is contain a large amount of unrelated data. It may possibly accuracy decreases and lead to confusion in the data analysis. So we present a method that can be efficiently extracted by improving the search accuracy through text mining analysis of SNS data.

• Asian Journal of Business Environment
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• v.4 no.3
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• pp.19-25
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• 2014

Purpose - This study investigated not only social network service (SNS) characteristics' effects on continuous use intention and reliability, but also the effects of continuous use intention and reliability on purchase intention. Research design, data, and methodology - The subjects comprised 274 SNS users in their twenties. The research was conducted over three weeks from October 16, 2013 to November 6, 2013, using questionnaires. A total of 267 copies were collected; 255 copies were used after excluding unsuitable copies. Results - Marketers who used SNSs should establish a bi-directional community and SNS page information exchange. SNS marketers should exchange useful information quickly through SNS pages, to differentiate themselves from competitors. Enterprises should use SNSs for marketing, considering not only continuous use intention but also reliability, to elevate product purchase intention. Conclusions - The study had limitations. Most subjects were students aged 24 to 28 years; the findings cannot be generalized. Second, personal computers (PCs) and smartphones had similar influence. Third, the preferences and/or characteristics of each SNS type were not reflected in marketing.