• The Journal of Society for e-Business Studies
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• v.18 no.4
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• pp.1-24
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• 2013

Since the introduction of e-Government in Korea, government departments and public sectors produced a diversity of electronic records. In addition, they generated new electronic records (we are called composite electronic records(CERs)) which are composed of disparate electronic records. Typical examples of CERs are the records of Social Network Services (SNS). Currently, most of the government departments in Korea uses the Facebook Page to announce their policy and to collect feedback from the people. In addition, many CERs are created and produced. However, the government of Korea has no preservation policies about CERs. It causes problems with losing or neglecting a lot of information. Therefore, we presented the type and the characteristics of CERs which are produced by government departments of Korea. Moreover, we analyze and represent the researches of CERs preservation. Finally, we proposed the mechanism to preserve of CERs in Korea.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.16 no.5
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• pp.960-966
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• 2012

It is prevalent to gather the location information from GPS, WiFi and etc, and therefore LBSNS (Location-Based SNS) has increased rapidly (such as location-augmented Twitter services). The message created from LBSNS include the specific area of interests which the message is created in or mentions. It is easy to propagate the location-based information of LBSNS by adapting the retweet function which is efficient way to propagate the message in tweeter. In this paper, we have defined the smart retweet as a automatic retweet function for efficient propagating the messages which is geo-tagging the location of interests. We have designed the smart retweet system based on the tweeter system. The user could specify the area of interests and build the social networking among the users which have interested in common area. The smart retweet system have been implemented by mesh-up services based on Open-API of trweeter and google map. It is expected that the smart retweet service proposed in this paper makes easy sharing of the location-based interesting information.

• Journal of the Korea Convergence Society
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• v.11 no.8
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• pp.99-106
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• 2020

The purpose of this study is to find out whether image similarity between celebrities and brands on social network service be a determinant to predict advertising effectiveness. To this end, an advertising effect prediction model for celebrity endorsed advertising was created and its validity was verified through a machine learning method which is a big data analysis technique. Firstly, the celebrity-brand image similarity, which was used as an independent variable, was quantified by the association network theory with social big data, and secondly a multiple regression model which used data representing advertising effects as a dependent variable was repeatedly conducted to generate an advertising effect prediction model. The accuracy of the prediction model was decided by comparing the prediction results with the survey outcomes. As for a result, it was proved that the validity of the predictive modeling of advertising effects was secured since the classification accuracy of 75%, which is a criterion for judging validity, was shown. This study suggested a new methodological alternative and direction for big data-based modeling research through celebrity-brand image similarity structure based on social network theory, and effect prediction modeling by machine learning.

• International Journal of Contents
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• v.10 no.4
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• pp.38-47
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• 2014

Recently, with the development of technology, social network service (SNS) has become a hot topic. Lots of companies are now making online marketing strategy to promote their products and brand identities using SNS. Through these strategies, companies can produce more profit as well as make better brand images by performing online public relations. Among the SNSs, Facebook has a lot of users, it has been regarded by companies as a suitable platform with respect to online marketing for latent customers. The companies of today typically have at least one account and a Facebook page, and constantly make relationships with customers. However, companies have been thoughtless in this process, and usually provide information to customers through one-way communication. Based on this phenomenon, a study was conducted herein on how to use Facebook pages for promoting products and brand identities, keeping good relationships between companies and customers. This study assumed that the types of interaction on Facebook pages and user involvement are the key factors affecting decision making of purchase. Four types of Facebook pages which were made virtually were used in analysis with 56 participants who were selected for the experiment. The results indicated partial verification of the hypothesis. Particularly, product involvement had an effect on decision making of purchase in all conditions. According to these results, it can be explained that there are close relationships between the psychological status of online behaviors and Facebook corporate pages. In addition, through linear tendency of this phenomenon, this can infer how to setup a positive relationship with latent customers and make improve brand images of products.

• Journal of Korean Public Health Nursing
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• v.27 no.1
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• pp.102-112
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• 2013

Purpose: The purpose of this study was to determine the effects of a weight loss program administered through a smart phone application on body composition and obesity in adolescents. Methods: This study applied a 6-week weight loss program with dietary education, exercise therapy, and behavior modification therapy from 4 June 2012 to 20 July 2012. The collected data were analyzed by descriptive statistics and the Wilcoxon signed rank test using the SPSS WIN 18.0 program. Results: After the 6-week program, the average weight of the subjects was reduced from 75.96kg to 74.41kg (Z=$-3.994^p$, p<.001), while the body mass index (BMI) decreased from 29.23 to 28.60 (Z=$-3.980^p$, p<.001), and the obesity index decreased from 38.45% to 35.59% (Z=$-3.977^p$, p<.001). The percentage of body fat decreased from 32.45 to 31.92 (Z=$-3.947^p$, p<.001), and the rate of skeletal muscle growth increased from 26.06% to 26.58% (Z=$-3.822^p$, p<.001). Conclusion: A weight loss program using a SNS (social network service) application, with dietary education, exercise therapy, and behavior modification therapy can reduce obesity and impact body composition in a short-term. Therefore, the utilization of the SNS application can be used to effectively enhance the management of adolescent obesity.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.17 no.3
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• pp.525-532
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• 2013

Recently. smartphones have been popularized rapidly and now located deep in our daily life, providing a variety of services from banking, SNS (Social Network Service), and entertainment to smart-work mobile office through apps. Such smartphone apps can be easily downloaded from what is known as app store which, however, bears many security issues as software developers can just as easily upload to it. Military apps will be exposed to a myriad of security threats if distributed through internet-basis commercial app store. In order to mitigate such security concerns, this paper suggests a security guidelines for establishing a military-excusive app store and security verification system which prevent the security hazards that can occur during the process of development and distribution of military-use mobile apps.

• Journal of the Korean Society of Radiology
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• v.13 no.6
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• pp.865-872
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• 2019

The purpose of this study was to analyze the correlation between radiation information sources and major selection satisfaction in radiologic science students of Korean and American. The subjects of this study were first-grade and second-grade at one university in Chungbuk, Korea and one university in Texas, USA. The survey study investigated from May 7, 2019 to May 28, 2019. As a result, first, these college students in both countries used the internet the most as them, but the percentage of information collected through textbooks was significantly higher among American college students. Second, Korean college students had a higher level of reliability in information sources than American college students in the order of internet, newspapers, and social network service (SNS), except government prints. Third, American college students had significantly higher satisfaction in major selection than Korean college students. Fourth, Korean college students were helped to select majors through various information sources, especially, the correlation coefficient between SNS was significantly higher.

• Journal of the Korean BIBLIA Society for library and Information Science
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• v.32 no.3
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• pp.67-91
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• 2021

The purposes of this study is to identify the perception of students' use of university libraries' public relations activities using Instagram and propose ways to improve the operation of university libraries' Instagram. To this end, the status of Instagram operations of domestic and foreign university libraries was investigated, and a survey was conducted on 292 students who used the library Instagram of their universities. Based on the research results, first, it is necessary to promote the use of libraries by using 'Library Events' information closely related to the use of Instagram by students, but planning ways to participate that can lead to practical use of libraries. Second, it is necessary to promote the role of librarians through Instagram and utilize daily communication information in order to positively affect library image recognition. Third, it is necessary to guide users on how to inquire on library Instagram and actively respond to communication with users through periodic post uploads and monitoring.

• Journal of the Korea Society of Computer and Information
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• v.26 no.1
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• pp.253-258
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• 2021

In this study, we explored consumers' the privacy attitudes and Internet activities on the expectations of the fourth industrial revolution. Furthermore, we examined the moderating effect of Internet activities between the privacy attitudes and the expectations of the fourth industrial revolution. Research data are 2018 Korea media panel survey provided by Korea Information Society Development Institute. As a result, concerns about privacy were negative on the expectations of the fourth industrial revolution. Consumer's internet activities had a positive effect on the expectations of the fourth industrial revolution. Concerns about privacy have a negative effect on the expectations of the fourth industrial revolution, but active internet activities have mitigated it or turned it into a positive. This study will contribute as basic data for more active responses in the economic structure facing the 4th industrial revolution.

• Journal of Creative Information Culture
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• v.5 no.3
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• pp.215-223
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• 2019

The wave of the information age gradually accelerates, and fusion analysis solutions that can utilize these knowledge data according to accumulation of various forms of big data such as large capacity texts, sounds, movies and the like are increasing, Reduction in the cost of storing data accordingly, development of social network service (SNS), etc. resulted in quantitative qualitative expansion of data. Such a situation makes possible utilization of data which was not trying to be existing, and the potential value and influence of the data are increasing. Research is being actively made to present future-oriented education systems by applying these fusion analysis systems to the improvement of the educational system. In this research, we conducted a big data analysis on Twitter, analyzed the natural language of the data and frequency analysis of the word, quantitative measure of how domestic windows education problems and outcomes were done in it as a solution.