• International Journal of Advanced Culture Technology
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• v.12 no.1
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• pp.1-10
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• 2024

While technologies such as the 4th revolution and artificial intelligence (AI), which create new value through the convergence of intelligent information technology, are becoming hot topics, the beauty industry is rapidly developing and combining information and communication technology to produce beauty items based on smartphones among mobile technologies. As the area of expands, YouTube is forming a network through various means of information. In particular, beauty-related YouTube videos are a field of great interest and popularity among the public. By classifying the makeup characteristics according to the emotional images shown in domestic YouTube videos by emotional image and identifying the characteristics of makeup, the needs for watching YouTube makeup videos are identified. We aim to build trust in the delivery of information about makeup. The emotional images were divided into four types: 'modern', 'natural', 'gorgeous', and cute. Among the domestic makeup YouTubers, Pony, Isabe and Shinnim, Lamuque were selected. By organizing more diverse makeup-related content systematically and creatively, we expect to have a positive influence on k-makeup not only domestically but also overseas. We aim to provide basic data for follow-up research on makeup YouTuber videos in the field of cosmetology and contribute to marketing plans for the development of the beauty content industry and establishment of promotional strategies.

• The Journal of Information Systems
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• v.16 no.4
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• pp.107-129
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• 2007

The purpose of this study is to examine the effect of logistics service quality and relationship orientation factors on customer satisfaction and loyalty in the electronic commerce context. Based on extensive review of relevant literature, nine components of logistics service quality(i.e. information quality, ordering procedures, ordering release quantities, timeliness, order accuracy, order quality, order condition, order discrepancy handling and personnel contact quality) and six components of relationship orientation(i.e. trust, bonding, communication, shared value, empathy and reciprocity) are introduced in this study. And a conceptual model is developed and five research hypotheses are empirically examined using structural equation modeling. The findings indicate that logistics service quality and relationship orientation are positively and significantly associated with customer satisfaction, and customer satisfaction is the antecedent variable of customer loyalty in the Internet Shopping Mall. In addition, a significant impact of logistics service quality on relationship orientation of the customer is revealed. Implications of these findings are discussed, and limitations of the study as well as further research directions are addressed.

• Journal of information and communication convergence engineering
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• v.21 no.1
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• pp.32-44
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• 2023

Information security breach is a major risk in e-learning. This study presents the potential information security disruptions in Learning Management Systems (LMS) from the perspective of users. We use the Technology Acceptance Model approach as a user perception model of information security, and the results of a questionnaire comprising 44 questions for instructors and students across Indonesia to verify the model. The results of the data analysis and model testing reveals that lecturers and students perceive the level of information security in the LMS differently. In general, the information security aspects of LMSs affect the perceptions of trust of student users, whereas such a correlation is not found among lecturers. In addition, lecturers perceive information security aspect on Moodle is and Google Classroom differently. Based on this finding, we recommend that institutions make more intense efforts to increase awareness of information security and to run different information security programs.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.25 no.11
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• pp.1676-1686
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• 2021

In this paper, we propose a general cross-chain solution based on the idea of modularity, abstraction, and layering, which decoupling the cross-chain function from the consensus algorithm and specific application logic, and utilize a Merkle proof to ensure the validity and legality of cross-chain operations. Since the underlying implementations of homogeneous and heterogeneous blockchains are different, we treat them separately. For homogeneous blockchains, we suggest a TCP-like cross-chain transport protocol (CCTP). While for heterogeneous blockchains, we present a method to construct the relay chain to realize the cross-chain function. The proposed scheme can enable the correct, effective, reliable, orderly, and timely transmission of cross-chain data. However, the essential difference between the operations within a single blockchain and the interoperability between different blockchains is that the trust domain is different. Cross-chain interoperation itself breaks the completeness of the blockchain, therefore, some efficiency and safety must sacrifice to trade-off.

• The KIPS Transactions:PartA
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• v.11A no.3
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• pp.217-226
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• 2004

This paper describes an experiment of concrete and specific group work learning system based on the traditional Jigsaw group work learning model. Jigsaw model has two groups of students such as random group and expert group so that a course can make progress on explaining and lecturing all members of class after each student can be a member of expert group of course topic. We design and implement Web-based training system to support collaboration and Interaction among students of a course based on Jigsaw model The Web- based learning system makes each group going up to the expert level of a course subject by supporting various study menu and provides equal opportunity of improving social abilities such as leadership, communication skill, trust, and trouble-settling by taking part in collaboration activities.

• Journal of the Korean Society of Clothing and Textiles
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• v.43 no.1
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• pp.1-16
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• 2019

This study explores the effect of hashtag type on consumer response via evaluations of SNS fashion influencer and information in the context of fashion product communication. The moderating effect of perceived fit between hashtag content and fashion product image on information evaluation was also investigated. An online survey was conducted, and responses from 152 Instagram users were collected. The results indicated that hashtag type (informative vs storytelling) affects the evaluations of influencer and information. First, the informative hashtag has a positive effect on influencer's expertise and usefulness of information. Meanwhile, storytelling type has a positive effect on the familiarity of the influencer. This study also verified the mediated paths from hashtag type to consumer response through the evaluations of SNS fashion influencer and information. The influencer's expertise and familiarity mediated the effect of hashtag type on consumer response. In the information evaluation, only the mediating effect of usefulness was significant. Finally, the high condition of the perceived fit between hashtag content and fashion product image was found to highly evaluate the trust of information. This study extends the scope of fashion communication research from various angles by examining the role of the hashtag as a new type of information source.

• Management & Information Systems Review
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• v.31 no.2
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• pp.143-172
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• 2012

While e-commerce market(B2C) grows rapidly, many experts argue that EC(B2C) transactions have not reached its full potential. A notable difference between online and offline consumer markets that is suppressing the growth of EC(B2C) is the decreased presence of human and social elements in the online shopping environments. Generally online shopping lacks human warmth and sociability. In this study, social presence in online shopping mall was proposed as a substitute for face-to-face social interaction in the traditional commerce and author explored what variables affect social presence(human warmth and sociability) on online shopping malls and how human warmth and sociability can influence on online store loyalty. To achieve research objectives, we reviewed literatures related with marketing, psychology and communication research areas. Based on literature review, we proposed a research model on the online shopping mall. To examine the proposed research model, we gathered data by using a self-report questionnaire. Respondents consists of online shoppers with at least five or more times of purchase experience in online shopping malls. Because social presence is a feeling which needs frequent contacts with malls to experience, respondents must have enough purchase experiences. The empirical results are as follows : First, shopping mall's customization efforts influence perceived social presence on the mall significantly. Second, shopping mall's responsiveness influences perceived social presence significantly. Third, perceived activity of community of online shopping mall influences perceived social presence significantly. Mall managers have to activate their customer community to reinforce social presence, resulting in trust building. Finally, perceived social presence influences trust and enjoyment on the mall significantly. And then trust and enjoyment on the mall affect store loyalty significantly. From these findings it can be inferred that perceived social presence appears determinant which is critical to the formation of core variables(trust and loyalty) in existing online shopping papers.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.24 no.5
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• pp.567-575
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• 2020

As online social networks are used as a critical medium for modern people's information sharing and relationship, their users are increasing rapidly every year. This not only increases usage but also surpasses the existing media in terms of information credibility. Therefore, emerging marketing strategies are deliberately attacking social networks. As a result, public opinion, which should be formed naturally, is artificially formed by online attacks, and many people trust it. Therefore, many studies have been conducted to detect agents attacking online social networks. In this paper, we analyze the trends of researches attempting to detect such online social network attackers, focusing on researches using social network graph characteristics. While the existing content-based techniques may represent classification errors due to privacy infringement and changes in attack strategies, the graph-based method proposes a more robust detection method using attacker patterns.

• The Journal of the Korea Contents Association
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• v.12 no.4
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• pp.198-215
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• 2012

Green Exhibition and Convention property of the participant satisfaction and impact on the performance of participating companies by looking out for the future development of the national economy on the local economy and help the continued growth of the Green Exhibition and Convention that will help to provide basic data for the purpose of. The results of this study participated in the Green Exhibition and Convention on the expectation of fame exhibit variable, based on the venue, the exhibition publicity, Green Exhibition and Convention Services, Green Exhibition and Convention facilities, information, PC communication or the Internet web site, information, and with the encouragement of those around these parameters and variables of trust as being based on the venue, the exhibition publicity, Green exhibition and Convention Services, Convention and Exhibition as being green in order to increase its influence on expectations and confidence to increase the satisfaction of the variable parameters should be of the utmost importance. Participants to meet the expectations of the variables in the Exhibition, Exhibition of trust, sex, male and recommendation showed by influence. This is an important variable affecting showed. Satisfaction of participants and exhibitors were on.

• Knowledge Management Research
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• v.21 no.4
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• pp.175-193
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• 2020

With the proliferation of information technology communication and smart device, the environment where contents are produced and distributed is changing. People can use the contents quickly and easily, and the content industry is attracting attention and creating newly added value by converging with other industries. Accordingly, there is a need for content-related companies to understand the quality of content perceived by users in order to succeed in content, and to use it strategically. Therefore, this study aims to examine the relationship between content quality factors, user satisfaction, and recommendation intention through empirical analysis based on an IS success model. The analysis was conducted using smartPLS3.0 based on a total of 301 survey responses. As a result of the study, it was found that content usefulness, accessible system quality, convenient system quality, service provider trust, and interaction had a significant effect on user's satisfaction. Perceived privacy protection had a significant effect on user satisfaction and recommendation intention. Lastly, it was found that user satisfaction had a significant effect on recommendation intention. The results of this study are expected to provide useful information and therefore content companies can understand about the quality perceived by users.