• Journal of Information Technology Applications and Management
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• v.26 no.6
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• pp.13-27
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• 2019

Social media are used as a tool which is suitable for delivering various images emotionally in the area of fashion. How deeply consumers are led by the brands to be engaged in the brands' SNS, how often they visit SNS and gain information, how much empathy they elicit from visitors with their contents and how continuously brands provide up-to-date information are the important factors to raise consumers' fashion consciousness and draw out their fashion consumption to express themselves. Therefore, this study aims to explore the effect of social media engagement and contents characteristics on fashion consumption tendency and purchase intention. In order to verify the research question, study makes analysis centering on the 2 × 2 × 2 MANCOVA model to draw out results of the differences among groups. As a result of analysis, this study verifies the difference between the effect of social media engagement on purchase intention and the effect of interaction of three variables on fashion consumption propensity and purchase intention and summarizes the implications.

• The Journal of Asian Finance, Economics and Business
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• v.8 no.2
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• pp.1043-1053
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• 2021

The purpose of this research is to investigate the impacts of gen-Z's perception of consumer-generated content on social media on their travel intention with the mediating role of travel motivation push and pull. An online questionnaire survey of a total of 369 samples was conducted with the participation of gen Z in the most important cities across Vietnam. The model was analyzed using Structural Equation Modeling (SEM) using AMOS program 22 to investigate model relationships and all hypotheses are significant. The findings indicated that gen Z values the usefulness of social media and they use social media for knowledge-seeking (push factor), and this leads to their intention to visit a destination. SEM analysis also reveals that gen Z tends to use social media to find accessibility to any destinations and they are motivated highly with destinations that have clear and easy access, for example, no visa requirement or neighboring destinations. As the result, they have better intentions to visit these destinations. This research will help marketers, especially marketing specialists to gain a better understanding of gen Z, thus implement better marketing techniques to target gen Z.

• Information Systems Review
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• v.21 no.2
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• pp.29-50
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• 2019

Social media is divided into Owned Media, operated by companies according to information sources, and Earned Media, which third parties produce contents. Social media research developing the logic that brand-related content in social media increases awareness of potential customers and positively changes brand attitudes, resulting in increased sales and business performance. However, there are limitations in previous researches that can not fully explain the difference of media synergy effect according to the information source of social media. it is very important for the consumer to integrate media management because consumers are more likely to choose appropriate media information for the information needed at each decision making stage. The purpose of this study is to analyze the effect of eWOM of review site and social media (owned media and earned media) on movie sales. To do this, we collected 3,589 review data from films released in 2017. The results of the study showed that eWOM of review site, social media (owned media and earned media) had a positive effect on movie sales. However, it was found that the effect of moderating eWOM of review site was different between the owned media and the earend media.

• Fashion & Textile Research Journal
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• v.23 no.1
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• pp.31-43
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• 2021

This study analyzes the characteristics of fashion flex, which have recently spread on social media. The study was conducted with big data analysis that derived flex keywords from news articles and social media as well as case studies that collected 136 posted images on Instagram to analyze the content. The meaning of flex was positively accepted based on big data results. Flex was also a buzzword frequently used on social media as well as a symbolic meaning when discussing luxury goods or fashion brand experiences. The characteristics of fashion flex in social media were largely divided into three categories. First, conspicuous consumption is considered an active expression of individual fashion tastes or self-oriented consumption and emphasizes individuality through consumption. The second characteristic is that the public actively participates in events or fashion flex challenges. People use similar fashion styles or products to participate in playful social interactions with others using various Instagram functions. Finally, acts of pursuing psychological well-being in social media were used as the term flex in a broad sense and were shown to actively explore fashion-related materials and experiences for individual happiness. This study found that the meaning of existing conspicuous consumption is transforming into positive consumption, such as the expression of taste-based identity or the seeking of fun and psychological well-being. It is also meaningful that fashion has become an effective means to express individuality and taste in expressing flex.

• Journal of the Korean housing association
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• v.16 no.3
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• pp.9-16
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• 2005

Daily newspapers are one of the most influential mass media and the news coverage can be used an indicator of social issues and needs. The purpose of this study was to investigate characteristics of physical environment in apartments, and to examine the underlying social ideas. In doing so, the contents of national daily newspapers in the past ten years were analyzed by using frequencies. The study found that sophistication, diversity, and differentiation were drawn as social values that lie in the physical environment of apartments, and the characteristics were related to housing types, space planning and complex layout. The finding shows that the coverage of the physical environment in apartments has been growing, and the increasing attention to the residential environment remains strong and significant.

• Journal of Information Science Theory and Practice
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• v.11 no.1
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• pp.49-60
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• 2023

This study endeavors to answer four research questions: (a) Who are the celebrities? (b) How popular are they? (c) What do they post on social media platforms? (d) How do their followers react to them? Following quantitative methods, this study analyzes the top 195 Facebook celebrities of Bangladesh and their 9,441 Facebook posts' interactions. The result suggests that actors, music-related celebrities, and sports stars are the most popular celebrities. While male celebrities have a higher frequency, female celebrities have higher average followers than their male counterparts. Celebrities mostly share photos on Facebook, perhaps to recreate their public images and provide regular updates to their followers. The followers also engage the most in photos with affection and surprise reactions. Their reactions to celebrities' Facebook content are highly positive. Some strengths and limitations of this study are also discussed.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.11 no.5
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• pp.2484-2498
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• 2017

Various types of social media make the people share their personal experience in different ways. In some social networking sites. Some users post their reviews, some users can support these reviews with comments, and some users just rate the reviews as kind of support or not. Unfortunately, there is rare explicit negative comments towards other reviews. This means if there is a link between two users, it must be positive link. Apparently, the negative link is invisible in these social network. Or in other word, the negative links are redundant to positive links. In this work, we first discuss the feature extraction from social media data and propose new method to compute the distance between each pair of comments or reviews on social media. Then we investigate whether we can predict negative links via regression analysis when only positive links are manifested from social media data. In particular, we provide a principled way to mathematically incorporate multi-facet data in a novel framework, Constructing Negative Links, CsNL to predict negative links for discovering the hidden information. Additionally, we investigate the ways of solution to general negative link predication problems with CsNL and its extension. Experiments are performed on real-world data and results show that negative links is predictable with multi-facet of social media data by the proposed framework CsNL. Essentially, high prediction accuracy suggests that negative links are redundant to positive links. Further experiments are performed to evaluate coefficients on different kernels. The results show that user generated content dominates the prediction performance of CsNL.

• International Journal of Contents
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• v.13 no.1
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• pp.31-37
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• 2017

Using the network analysis method, this study investigates the communication structure of Open Data on the Twitter sphere. It addresses the communication path by mapping influential activities and comparing the contents of tweets about Open Data. In the years 2015 and 2016, the NodeXL software was applied to collect tweets from the Twitter network, containing the term "opendata". The structural patterns of social media communication were analyzed through several network characteristics. The results indicate that the most common activities on the Twitter network are related to the subjects such as new applications and new technologies in Open Data. The study is the first to focus on the structural and informational pattern of Open Data based on social network analysis and content analysis. It will help researchers, activists, and policy-makers to come up with a major realization of the pattern of Open Data through Twitter.

• Journal of Technology Innovation
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• v.29 no.4
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• pp.125-160
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• 2021

Unlike existing social platforms that seek openness, an audio-based social platform is characterized by its limitations. This study uses the Value-Based Acceptance Model(VAM) to analyze the role that such limitations play in the user's acceptance of audio-based social media. In this study, restrictive properties are defined as access-limitation, communication-limitation, and content-limitation. This study aims to analyze the effect of each variable on the perceived value and usage of audio-based social media. The hypothesis test was conducted based on the survey responses total of 207 users and potential users. The results was analyzed that three limiting variables affect perceived benefit factors, usefulness and playfulness, and the user's acceptance intention. This study is significant in that it presents a model based on the VAM and provides guidance for new forms of social media growth.

• Journal of Information Technology Services
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• v.19 no.6
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• pp.31-53
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• 2020

The traditional media ecosystem is facing major changes with the expansion of over-the-top (OTT) services. While the percentage of people cutting the cord has already exceeded the percentage of people subscribing to pay TV services in the United States, due to the unique characteristics of the Korean market, it is uncertain whether the cord-cutting trend will have an impact on the Korean media industry despite of the advantages of OTT services. Accordingly, this study has directly determined the beneficial and sacrificial factors of switching to OTT services, as well as the personal and external influences behind the Korean OTT service users' intention to switch. To achieve this, the Value-based Adoption Model (VAM) was used to measure the benefits of OTT services with regards to their content and systems, as well as measure the financial and procedural switching costs of cord-cutting; further, personal innovativeness and consumers' social image were added as external variables. The results of this study showed that consumers take the content and system quality of OTT services and procedural switching costs and into consideration, and that their intention to switch was based on social image. These results could serve as data for consumer analysis regarding the expansion of OTT services into the Korean media industry, and also provide the strategic basis for preparing for sudden changes that may occur in the media ecosystem due to cord-cutting.