• Journal of Digital Convergence
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• v.18 no.1
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• pp.45-52
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• 2020

Online rumor creates psychological stress and image loss for victims. Prior studies related to online rumor did not consider the online environmental factor, despite the fact that online rumor occurs in the online space. Therefore, this study tried to investigate the influence of online characteristics on online rumor. This study considered perceived anonymity, lack of social presence, and perceived dissemination as online characteristics. We established and demonstrated a research model in which online characteristics affect online rumor behavior through attitude toward online rumor. This study obtained the sample of 201 social network users based on the survey and verified the research model using PLS tool. The results provided that perceived anonymity and perceived dissemination influenced online rumor behavior through attitude toward online rumor. On the other hand, lack of social presence was not significant. The findings of this study provide the fact that an individual's online rumor behavior can be caused by online characteristics. This study suggests that we pay attention to the role of perceived anonymity and perceived dissemination for online rumor behavior.

• Journal of Internet Computing and Services
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• v.21 no.4
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• pp.97-107
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• 2020

This study aims to conduct a comprehensive meta-study from the perspective of content analysis to explore trends in Korean academic research on the sharing economy by using the big data analytics. Comprehensive meta-analysis methodology can examine the entire set of research results historically and wholly to illuminate the tendency or properties of the overall research trend. Academic research related to the sharing economy first appeared in the year in which Professor Lawrence Lessig introduced the concept of the sharing economy to the world in 2008, but research began in earnest in 2013. In particular, between 2006 and 2008, research improved dramatically. In order to grasp the overall flow of domestic academic research of trends, 8 years of papers from 2013 to the present have been selected as target analysis papers, focusing on titles, keywords, and abstracts using database of electronic journals. Big data analysis was performed in the order of cleaning, analysis, and visualization of the collected data to derive research trends and insights by year and type of literature. We used Python3.7 and Textom analysis tools for data preprocessing, text mining, and metrics frequency analysis for key word extraction, and N-gram chart, centrality and social network analysis and CONCOR clustering visualization based on UCINET6/NetDraw, Textom program, the keywords clustered into 8 groups were used to derive the typologies of each research trend. The outcomes of this study will provide useful theoretical insights and guideline to future studies.

• Journal of Internet Computing and Services
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• v.15 no.1
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• pp.73-88
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• 2014

Online communities are getting more popular with the development of information technology. It is essential that community members participate actively and share their contents or opinions continuously for the success and growth of online communities. However, it is revealed that most of members just take the role of passive observer. They are lurking community information and contents without any contribution. In this sense, this study focuses on explore lurking behavior of online community members. This study investigates the effect of the characteristics of online community, community members, and personal traits on user's lurking intention. Member familiarity and community identity have a strong positive effect on de-lurking intention, while the perception of usefulness and ease of use for communities and member expertise have a negative effect on de-lurking intention. Interestingly, users with a low level of self-esteem have higher level of motivation of participation than those with a high level of self-esteem. Finally, this study proposes several strategies to enhance information and contents sharing in online communities.

• The Journal of the Korea Contents Association
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• v.16 no.3
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• pp.269-287
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• 2016

This study explores of press report on the death of Beongen Yoo based on network analysis and how issue diffuses via Internet and SNS in mainstream news and conservative channels of comprehensive programming. Issue salience, word's visibility and word's connectivity are the main keyword and analysis criteria of this study. Conservative channel of comprehensive programming focused on the surrounding information rather than core information compared to Mainstream media, Conservative channels of comprehensive media was interested in Yu, Beongeon, an article left, brand, rumor of a body and Mainstream media focused on the results of DNA test. Mainstream media covers this case as the discovery of the Yu, Beongeon body, Mainstream media reported as 'the discovery of the body frame, conservative channels of comprehensive programming reports as blame of investigation at the first stage. The former focuses on the cause of death and the latter focuses on the raising of strong doubts frame at the second stage. In case of the third stage the latter covered on the emphasis of the surrounding information. They frames the issue differently based on network analysis. The view point of conservative channel of comprehensive programming is diffused via SNS. This study highlights the role of journalist of mainstream media in the process of agenda-setting

• International Commerce and Information Review
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• v.15 no.2
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• pp.387-410
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• 2013

The competition aspect of business has been transformed from competition among companies to competition among ecosystem, and has been grown to platform based business, which is defined as ecosystem among business. Coming to the spotlight with the advantages of platform business combined software and hardware like Apple, platform business have been emerging in many fields. In this research, we define platform and platform based business, and then review related researches. After this, we review four representative research methodologies which are Yin(2011)' s case analysis research, Eisenhardt(2007)' s case analysis research, Romano etc' s web based qualitative data analysis method(2003), and Creswll(2010)' s open coding technique. And then, we suggest this research' s natural methodology combined with the advantages of four research methodologies. Based on our research methodology, we choose three high commercialized categories, which are smartphone platform business, social platform business, and search engine platform business. And then, we choose seven companies in three categories with success cases & failure cases, and analysis each case in perspective of our research methodology. And then, we suggest critical success & failure elements. Based on our findings, we suggest three strategic elements for the longevity of platform based business. Finally, we suggest the limitations of our research and further research issues.

• The Journal of the Korea Contents Association
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• v.14 no.6
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• pp.54-62
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• 2014

Crowdfunding, a way of raising small size investments or donations from numerous individuals, mostly through internet to fund a project, has attracted global interests. The growth of the social network platform has made crowdfunding easier especially for those in the arts and culture sector. Despite the growth of such vehicle, there has been not much empirical research on the subject. We investigated the relationships between the information in the web sites and its contribution to the success in fundraising. We have sampled 161 projects that were uploaded on Tumblbug.com and studied the type of information that lead to a successful fund raise. As a result, we fould that the contents characteristics including motion-pictures, images, and lengthy texts have positive impacts on the success of fundraising. Fundraising rewards did not show any impacts.

• Journal of Digital Convergence
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• v.14 no.6
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• pp.395-403
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• 2016

This study investigates SNS usage behaviors of SNS users with a change of SNS use environment and an increase of users. This study compares the difference of use motivation, preferred type, and main use SNS according to socio-demographic variable of SNS users using cross tabulation analysis and also conducts a comparative analysis of main use SNS of each SNS user using correspondence analysis. The results show main use motivation of SNS is relationship seek, most preferred type is closed type, and main use SNS is Kakaostory. Next, we find that there are differences on use motivation, preferred type, and main use SNS, depending on the socio-demographic characteristics of SNS users. The result of correspondence analysis shows how users are using SNS services and what structure their competitive relations of SNS services are made. In the conclusion, the study presents summary of the findings, implications, and tasks for further studies.

• Journal of the Institute of Electronics and Information Engineers
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• v.51 no.7
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• pp.149-154
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• 2014

Modern data computing developments have led to big improvements in graphic capabilities and there are many new possibilities for data displays. The visualization has proven effective for not only presenting essential information in vast amounts of data but also driving complex analyses. Big-data analytics and discovery present new research opportunities to the computer graphics and visualization community. In this paper, we discuss the patent analysis of big data visualization technology development in major countries. Especially, we analyzed 160 patent applications and registered patents in four countries on November 2012. According to the result of analysis provided by this paper, the text clustering analysis and 2D visualization are important and urgent development is needed to be oriented. In particular, due to the increase of use of smart devices and social networks in domestic, the development of three-dimensional visualization for Big Data can be seen very urgent.

• Journal of the Korea Society of Computer and Information
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• v.26 no.4
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• pp.231-237
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• 2021

Over a decade ago, Krasnova et al. identified the factors that influence Facebook users' self-disclosure. These factors include perceived risks, relationship building, relationship maintenance, self-presentation, and enjoyment. Meanwhile, during the past 10 years, there have been significant changes in terms of function, media, and competition. SNSs have been functionally enhanced, used in mobile environment, and had many competitors. Based on these facts, it is believed that the influence of the factors on self-disclosure is different from those of Krasnova et al. The purpose of this study is to verify through a replication study whether the factors adopted in the study of Krasnova et al. are still important in explaining self-exposure. The study empirically find the result significantly different from those of Krasnova et al. Based on the result, the study provides meaningful implications and suggestions for future research.

• Journal of Digital Convergence
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• v.19 no.11
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• pp.215-224
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• 2021

Business stakeholders have shown huge interests on the way how to increase business value by integrating real world businesses with a rising metaverse concept. To understanding the utility of metaverse regarding digital transformation, this study conducted a qualitative study based on a metaverse framework from 2006 Metaverse Roadmap and reference theories on business models. Specifically, a multiple comparative case approach was adopted to investigate three metaverse application cases from 2000 to 2020. From findings, it was revealed that different metaverse features were tried to leverage traditional simulation games, social communities, and virtual communication activities to build business models. Secondly, the use of metaverse features were likely to be helpful in getting competitive advantages. However, we are also aware that stakeholder credibility should be carefully managed to sustain businesses.