• Journal of Information Technology Applications and Management
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• 제19권4호
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• pp.137-152
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• 2012

As social media such as facebook and twitter is widespread, social commerce appears as a new way of e-commerce. Social commerce is a subset of electronic commerce that involves using social media that supports social interaction and user contributions. From the understanding of social commerce and literature review, we deduced the research model that relationship, collectivism, convenience, usefulness, low price, reputation, and rapidness have influence on satisfaction and repurchase intention. As a result of data analysis, relationship, convenience, usefulness, low price, and rapidness had influence on satisfaction and repurchase intention. And collectivism had influence on relationship. But reputation did not have influence on satisfaction. The focus of this study is on the effect of relationship and collectivism on satisfaction and repurchase, because relationship and collectivism is the major feature of social commerce. Succinctly speaking, collectivism affects relationship among users, in turn, relationship affects satisfaction and repurchase intention. This study gives a contribution to business. Business related with social commerce has to make a business strategy for managing relationship and consider collectivism tendency for selecting target customer.

• 한국콘텐츠학회논문지
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• 제17권2호
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• pp.113-124
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• 2017

기존의 소셜 검색은 사용자의 프로파일의 최신성과 유사한 사용자의 관심사를 고려하지 않기 때문에 검색 결과가 사용자에게 적합하지 않다는 문제가 있다. 이에 따라 시간적 속성과 다른 사용자의 관심사를 고려한 소셜 검색 연구가 요구되고 있다. 본 논문에서는 시간에 따른 최근 관심사, 사용자와 유사도가 높은 사용자들의 관심사를 고려한 소셜 검색 기법을 제안한다. 제안하는 기법은 사용자의 최근 관심사를 고려하기 위해 소셜 미디어 사용자의 활동 정보를 분석한다. 다른 사용자들의 관심사를 분석한 정보와 결합하여 랭킹을 수행함으로써 검색 결과의 만족도와 정확성을 향상시킨다. 성능평가를 통해 제안하는 소셜 검색 기법이 기존 기법에 비해 성능이 우수함을 보인다.

• 대한산업공학회지
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• 제42권1호
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• pp.50-56
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• 2016

Social media (SM) for expressing thoughts and opinions of people in network communities can support collaboration among stakeholders in business activities. To enhance collaboration for product design, this study integrates SM with a product data management (PDM) system that manages main product development processes and data in manufacturing companies. This study proposes a text messaging SM model that shares core components of PDM systems and uses product structures in PDM systems as networks for SM broadcasting. The SM model is implemented with a research purpose PDM system and applied to product design experiments to show feasibility of the proposed SM model in PDM systems.

• 한국HCI학회:학술대회논문집
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• 한국HCI학회 2009년도 학술대회
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• pp.301-309
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• 2009

This study focuses on event-driven social media (EDSM), which supports the production of unique cultural items of small groups by satisfying the conflicting desires of distinctiveness and assimilation that small groups possess. EDSM is a system which promotes the production of idioculture through small group interaction by using an actual event in which people participate in small groups. By setting up an EDSM system in a university festival in which 10,000 to 15,000 people gather in small groups, idioculture production was tested for approximately eight hours and a half. Interaction records gathered from the test, as well as focus group interview data garnered soon after were used to analyze usage patterns of EDSM, types of idiocultures produced, and resulting factors of user experience. Through this, considerations upon designing future EDSM were proposed.

• Journal of information and communication convergence engineering
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• 제15권3호
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• pp.165-169
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• 2017

Altmetrics is an emergent research area whereby social media is applied as a source of metrics to evaluate scientific impact. Recently, the interest in altmetrics has been growing. Traditional scientific impact evaluation indictors are based on the number of publications, citation counts and peer reviews of a researcher. As research publications were increasingly placed online, usage metrics as well as webometrics appeared. This paper explores the potential benefits of altmetrics and the deep relationship between each metrics. Firstly, we found a weak-to-medium correlation among the 11 altmetrics and visualized such correlation. Secondly, we conducted principal component analysis and exploratory factor analysis on altmetrics of social media, divided the 11 altmetrics into four feature sets, confirming the dispersion and relative concentration of altmetrics groups and developed the altmetrics evaluation model. We can use this model to evaluate the scientific impact of articles on social media.

• Journal of information and communication convergence engineering
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• 제15권3호
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• pp.170-174
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• 2017

Nowadays, people share and discuss scientific papers on social media such as the Web 2.0, big data, online forums, blogs, Twitter, Facebook and scholar community, etc. In addition to a variety of metrics such as numbers of citation, download, recommendation, etc., paper review text is also one of the effective resources for the study of scientific impact. The social media tools improve the research process: recording a series online scholarly behaviors. This paper aims to research the huge amount of paper reviews which have generated in the social media platforms to explore the implicit information about research papers. We implemented and shown the result of text mining on review texts using R language. And we found that Zika virus was the research hotspot and association research methods were widely used in 2016. We also mined the news review about one paper and derived the public opinion.

• International Journal of Contents
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• 제10권1호
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• pp.36-42
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• 2014

Previous studies of the Korean wave have focused mainly on fan clubs by taking an ethnographic approach in the context of countries in Southeast Asia and, in a minor extension, Europe. This study fills the gap in the literature by providing a social network analysis of Tweets in the context of Mexico. We used the Twitter API in order to collect Twitter comments with the hashtag #kpop from March to August 2012, analyzing them with a set of webometric methodologies. The results indicate that #kpop power Twitterians in Mexico were more likely to be related to the public television broadcast. The sent Tweets were usually related to their programs and promotion for Kpop artists. These Tweets tended to be positive, and according to URLs, not only Kpop but also Korean dramas had considerable influence on the Korean wave in Mexico.

• International Journal of Contents
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• 제16권1호
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• pp.10-24
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• 2020

As many brands use social media influencers (SMIs) on Instagram to advertise, not disclosing advertised content affects how consumers perceive these influencers. The purpose of this study was to investigate two objectives: 1) recent advertising disclosure types on Instagram and 2) the factors that affect consumer responses towards Instagram influencers posting advertised content. Using an experimental 2x2 between-subjects design (N=200), the findings show that "sponsored" and "paid partnership with" are two recent types of ad disclosures. However, both factors are insignificantly different from each other. Also, ad disclosure condition enhances the trustworthiness of the influencer than no disclosure. Ad skepticism, source credibility, and the level of persuasion strongly relate to how consumers perceive Instagram influencers advertising for brands. These factors enable consumers to assess if the influencer is a reliable source of information when faced with advertisement. Ultimately, using disclosure gives full information to consumers about the persuasive intent, as well as increases positive consumer responses towards the influencer who discloses, thereby, enhancing the ethical use of the influencer advertising strategy and long-term consumer relationship.

• 한국어교육
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• 제29권4호
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• pp.65-92
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• 2018

This study explored how a particular social media can be used to supplement elementary-level Korean language course in the US public university. The researchers administered a survey measuring students' patterns and habits of social media use. Based on the survey results, researchers designed six different types of learning materials and uploaded them regularly to Instagram throughout the semester. At the end of the semester, a survey was conducted to find out students' satisfactory level. From the 44 students' responses, the study found out that using Instagram 1) is more accessible to students than any other learning management system, 2) is fun and students are willing to participate, 3) increased the target language exposure and authentic language use, 4) increased interaction between teachers, students and even other native speakers, and 5) is helpful to improve listening and other language skills. The study closes with the suggestion for further experimental studies.

• International Journal of Computer Science & Network Security
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• 제21권12spc호
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• pp.579-585
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• 2021

This study aims to provide an in-depth description of the practices of social media users in the Kingdom of Saudi Arabia (KSA)-specifically the users of Facebook and Snapchat-and the reasons for these practices, the decisions made, and the people involved. Qualitative methods were used to collect data in two rounds from 53 participants. The data analysis shows a clear preference for Snapchat over Facebook among the participants, as shown in their using the application many times daily and in the creation and use of new words derived from the application's name. On the other hand, one of the main reasons mentioned by the participants for not preferring Facebook was the unclear policy of security and privacy used in the application. This reason is important for all social media users, but, in particular, it is crucial for female users, as shown in the data. This is important for the designers and policymakers of the social media applications to understand and consider, as it would help them improve the current applications and create new ones.