• Journal of Digital Convergence
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• v.18 no.2
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• pp.183-195
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• 2020

Non-verbal communication cues seem to be increasingly used in social media, such as emoticon, like, follow, etc. A Q methodology study is conducted to explore this phenomenon. Via a series of focus group activities with Facebook heavy users, 34 Q statements concerning online non-verbal communication cues are derived. Different Facebook users conduct Q sorts of these statements based on frequent use basis. Analysis of Q sort result reveals three distinctive usage patterns of non-verbal communication cues in Facebook: 'safe distance keeping' type, 'observing hermit' type and 'fully dedicated aficionado' type. Discussions are made concerning different components of non-verbal communication cues utilized in these groups, respectively, which can provide a theoretical basis for social media design.

• Journal of the Korean Society for information Management
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• v.29 no.1
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• pp.375-393
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• 2012

The population aging occurs rapidly due to the advancement of the medical technology and living conditions and this led increased interests in how the elderly manages their lives. This study attempted to understand the information needs and behavior of the elderly users as well as to find about their information access and online communications. Based on the analysis of the interviews with thirty-two elderly users, they mainly looked for information on the topics such as health, news, leisure, and hobby. In addition, they primarily used television, radio, Internet, family members, relatives, and newspaper to obtain information. Their current use of social computing services including online communities, blogs, social network sites were low. However, the elderly users were aware of the social computing services' effectiveness in increasing the satisfaction and happiness of their lives by expanding the opportunities for them to communicate with family members and other social members.

• The Journal of the Korea Contents Association
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• v.22 no.2
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• pp.710-723
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• 2022

TV program favorability does not necessarily lead to actions related to programs such as producing videos, emotions, webtoons, and goods, participating in concerts, and fan meetings. Therefore, there might be a mediating variable between program favorability and related behaviors. This study presents relationships as a mediating variable. This study assumed that if the program favorability is high, a positive relationship can be formed with the program, the characters on the show, the groups appearing in the program, the viewers who watch it together, and viewing affordance. Those formed relations can have positive effects on the program related activities. In the conducted online survey, we found that high favorability has positive effects on intimate relationships with the program, viewing affordance, characters, and other viewers, and these relationships have positive effects on program-related offline and online activities. However, the relationship with the character group has a negative effect on program-related behavior. This may be the result of viewers feeling alienated from highly intimate relationships formed among characters appearing in the show.

• The Journal of the Korea Contents Association
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• v.22 no.8
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• pp.159-169
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• 2022

The study explored the key factors(content satisfaction factor, functional satisfaction factor, inertia factor and situational factor) that influence OTT users' continued use from the perspective of Behavioral Economics. In addition to rational factors that make OTT users feel satisfied after experiencing the contents and functions by the platform, we assumed that it would also affect habitual factors from the 'status quo bias'. To verify this, an online survey was conducted on 523 adults in 20s and 40s who have subscribed to the Top3 OTT platform(Netflix, Wavve, and Tving). As a result of regression analysis, 'content satisfaction factor', 'functional satisfaction factor' and 'inertia factor' were significant in OTT continued use. 'Inertia factor' did not affect domestic OTT users. Unlike previous studies that supposed OTT service users as beings with complete rationality, this study is meaningful to explain OTT continued use by applying 'bounded rationality'.

• Journal of the Korea Convergence Society
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• v.12 no.9
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• pp.99-111
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• 2021

This study confirms whether interaction and satisfaction between educators and learners can be repeated as artistic activities in art education and compares online and offline differences. And it suggests ways to enhance the effectiveness of online art education. As a method of research, literature analysis shall be conducted on art education, educational and social interaction, satisfaction, and behavioral intent. Two surveys were conducted on online and offline education for music and art students who completed art education lectures. As a result, 89 online and 56 offline students participated. The higher the satisfaction level of educational and social interaction in art education, the more it led to artistic activities. Educational interaction in online art education was higher, social interaction was lower, and it was different from offline.

• The Journal of the Korea Contents Association
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• v.11 no.5
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• pp.424-432
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• 2011

Today's wide-spread Internet technology allowed consumers to access much Word-of-Mouth information through an online board. As communication and exchanging information between travelers becomes easier and faster, e-WOM (Electronic Word-of-Mouth) is recognized as one of the most influencing communication methods in today's society. This new trend implies a significant impact to travel industry. This study focuses on interaction between Credibility on e-WOM, brand attitude, WOM acceptance, WOM activity and purchasing intention of travel product. The result of this study suggests: (1) Credibility in e-WOM provides positive effect in brand attitude, (2) Brand Attitude gives positive effect on WOM acceptance, WOM activity and purchasing intention of travel product, (3) WOM acceptance gives positive effect on WOM activity, but it is not effective on purchasing intention of travel product. Regarding e-WOM management of travel agencies through its website or online community, authors would like to argue that travel agencies need to build positive brand attitude based on Credibility in brand, which would lead consumers to positively acknowledge its brand and spread words out to other consumers.

• Journal of the Korean Society for information Management
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• v.23 no.2
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• pp.167-183
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• 2006

This paper describes a metadata extraction technique based on natural language processing (NLP) which extracts personalized information from email communications between financial analysts and their clients. Personalized means connecting users with content in a personally meaningful way to create, grow, and retain online relationships. Personalization often results in the creation of user profiles that store individuals' preferences regarding goods or services offered by various e-commerce merchants. We developed an automatic metadata extraction system designed to process textual data such as emails, discussion group postings, or chat group transcriptions. The focus of this paper is the recognition of emotional contents such as mood and urgency, which are embedded in the business communications, as metadata.

• The Journal of the Convergence on Culture Technology
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• v.8 no.5
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• pp.507-513
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• 2022

This study developed a model for predicting the number of VOD uses of IPTV, an online market in the film industry. A machine learning-based prediction model was established using the VOD usage data collected by the Korean Film Council from 2017 to 2021. Through literature research and cluster analysis, the difference between the offline market and the online market is revealed, and a new category of VOD usage is proposed. The purpose is to help IPTV companies establish marketing strategies as well as support decision-making by developing a machine learning-based VOD usage prediction model.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.26 no.5
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• pp.1251-1258
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• 2016

Recently, leaks of the personal information of Internet users have been occurring too frequently. Generally, Internet users have email accounts. The use of email as a communications tool in the private and public sectors has increased. Therefore, in email usage, password management to ensure a more secure email service is most important. In this study, we conducted an online survey of email users and analyzed their responses by using structural equation modeling software to find the psychological and behavioral characteristics of their password management. The results of this study provide useful suggestions on information security strategies related to email password management at both the enterprise and individual levels.

• Fashion & Textile Research Journal
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• v.24 no.2
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• pp.183-194
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• 2022

This study aims to understand the consumers' negative responses to communication failure of chatbots caused by their imperfections. Specifically, this study examines 1) the relationship among chatbot's communication failure, dissatisfaction, negative behavior (complaint, negative word-of-mouth (nWOM), and inertia); 2) the moderating effect of technostress on the relationship between chatbot's communication failure and dissatisfaction; 3) the differences in the negative responses between the generation MZ and the previous generations. Data were collected via an online survey. First, the participants interacted with the chatbot developed for this survey, to experience the chatbot's communication failure. Thereafter, they responded to a questionnaire. PLS-SEM was conducted using the R software environment to test the hypotheses. This study empirically identified that chatbot's communication failure positively affected dissatisfaction. In addition, the customers who were more dissatisfied with the chatbot's communication failures were more likely to complain than engage in nWOM. Compared to the generation MZ, chatbot's communication failure caused a higher level of dissatisfaction in previous generations. The results suggest that online shopping malls should carefully introduce an improved chatbot service after minimizing its communication failure rate. The chatbot developers of online shopping malls targeting middle-aged and elderly consumers should strive to develop and implement strategies to further alleviate consumers' dissatisfaction in the situation of chatbot's communication failure.