• The Journal of the Korea Contents Association
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• v.22 no.4
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• pp.28-36
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• 2022

This study analyzed 284 K-pop song and dance cover short-form videos recreated by Chinese influencers uploaded on TikTok, to explore which reform factors of image similarity, language similarity, the extent of audience participation leading, the extent of lyrics or subtitles translated into Chinese, PPL disclosure, the length of video and the reputation of influencer affected Chinese TikTok audiences' reactions - number of "Likes," "Comments" and "Shares." The results showed that only the "reputation of influencer" was significantly affected the number of "Likes" which estimated as a relatively passive response, but the other factors affected the number of "Comments" and "Shares" significantly which estimated as more active responses. The more an influencer is perceived as not similar to the singer in terms of image the more comments were posted. And the videos expressed in Korean archived more comments and shares than those lyrics or subtitles translated into Chinese. This study is meaningful in that it confirmed the necessity of influencers in the globe diffusion of K-pop, by specifically analyzing the audience's reactions according to the characteristics of UCCs created by local influencers using short-form video platforms.

• Trans-
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• v.15
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• pp.57-79
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• 2023

This study aims to explore the strategies and effects of SNS images used by four popular male beauty influencers to gain identification with their female fans. The research selected four male beauty influencers, namely Li Jiaqi, Jeffree Star, James Charles, and Bretman Rock, with a high number of subscribers on Instagram, YouTube, and TikTok as of July 21, 2023. By observing the content they posted on SNS, the study analyzed the types, characteristics, and relevance of male beauty influencer images with their female fans using Lacan's gaze theory. Additionally, concepts related to gaze, such as the mirror stage, the screen, and objet petit a, were supplemented to conduct an in-depth analysis of the characteristics of male beauty influencer images and the motivations of female viewers. The study results suggest that male beauty influencers can maintain an intimate relationship, referred to as 'girl-friendship,' with their female fans through the identification formed by the homogeneity within the feminized mirror images. Furthermore, male beauty influencers can transform female viewers from being seen as objects to seeing them as subjects by presenting images that embrace diversity in gender identity, challenging the traditional notions of societal gender norms. Therefore, the images of male beauty influencers not only challenge gender stereotypes but also cater to the demands for independence and equality of modern young women, promote understanding of feminine gaze, and explore the potential for democratization and inclusivity on social media platforms from a new perspective.

• Journal of Fashion Business
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• v.25 no.3
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• pp.90-107
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• 2021

This study concludes that communication based on interaction between broadcasting hosts and consumers is differently characterized by fashion live commerce types. Subcategories of the types of fashion live commerce were created and used in the analyses of domestic consumer awareness. Three subcategories were created: The department store type, Designer brand type, and Influencer host type. Comments representing consumers' awareness that appear immediately during real-time broadcasting were collected and used for the analyses. The frequency and TF-IDF-based top keywords were selected to analyze the semantic network and CONCOR, and the top keywords were analyzed by deriving the values of degree of centrality. The analysis identified that a group of product attributes and a group of live commerce offered value were common between the three types. As for the group characteristics classified by type, for the department store types, brand attributes, benefits, and values from pursuing the products were identified. For designer brand types, a group of viewers' responses and inquiries were identified. It is interpreted that the satisfaction value gained from hosts with product expertise has been clustered. Influencer host types have affirmed a group of external product values. A close relationship is formed and it is thought to have led a group of values to trust the external image of the product. This study carries significance in analyzing real-time comment data from consumers using fashion live commerce to empirically reveal the characteristics of each type.

• Journal of Convergence for Information Technology
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• v.10 no.4
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• pp.168-174
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• 2020

This study studied the influence of beauty influencers, who act as supporters of cosmetics companies, on the purchase intention of cosmetics by consumers using Instagram content. To this end, we focused on the influence of demographic characteristics of consumers exposed to product evaluation contents of beauty influencers acting as cosmetics company supporters on purchase intention. The research data questionnaire surveyed a total of 15 items in 237 parts. Frequency analysis, factor analysis, independent t test, ANOVA, and multiple regression analysis were used for data analysis, and SPSS 23.0 was used for analysis. As a result of researching purchase intention according to product introduction through Instagram contents of a specific account HAJIN_21 Beauty Influencer, gender did not have a statistically significant positive effect, and final education was statistically influenced on purchase intention. It was found to have a significant positive (+) effect. As a result, it was found that final education was an important factor in purchase intention. Furthermore, it is expected that this study can be used as a basic data in the direction of promotion using cosmetics companies supporters.

• The Journal of Information Systems
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• v.31 no.4
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• pp.75-100
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• 2022

Purpose Recently, hyper-realistic virtual influencers have received much attention in the field of corporate marketing. However, there is a lack of research that suggests specific processes affecting behavioral intentions through trust and attachment between virtual influencers and consumers. In addition, previous studies have failed to consider the characteristics of hyper-realistic virtual influencers. Therefore, this study investigates the effects of trust and attachment to hyper-realistic virtual influencers on consumers' behavioral intentions based on the trust-building model. Design/methodology/approach Based on the previous research, seven antecedent factors for trust-building were derived: Reality, Attractiveness, Awareness, Interactivity, Professionalism, Social Presence, and Predictability. Next, the survey was conducted on Chinese people who had experienced interacting with hyper-realistic virtual influencers on social network services within the last 3 months at the time of data collection. A total of 326 respondents were used for the final analysis and hypotheses were tested using a structural equation model technique. Findings The results of this study are as follows. First, this study confirmed that reality, attractiveness, awareness, social presence, and predictability as antecedent factors for trust-building of hyper-realistic virtual influencers have a positive effect on trust. Second, this study confirmed that trust in hyper-realistic virtual influencers has a significant positive effect on attachment. Lastly, this study confirmed that trust and attachment to the hyper-realistic virtual influencer significantly and positively affect relationship retention and purchase intentions.

• The Journal of the Convergence on Culture Technology
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• v.9 no.1
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• pp.27-36
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• 2023

As influencers have recently drawn attention amid the rapid growth of the global market in influencer, it is time for systematic research on the working characteristics and working environment of influencers. Therefore, this study empirically examined whether positive psychological capital and social support have a moderating effect on job burnout in the relationship between influencers' emotional labor and job stress on job burnout. A survey was conducted influencers who were active through Instagram, and structural equation were used for statistical processing and analysis. As a result of the analysis, it was found that positive psychological capital had no moderating effect, and the relationship between emotional coordination and job burnout was adopted as the moderating effect of social support, and the the relationship between surface behavior and job burnout, it was found that there was no significant interaction between variables and job burnout.

• The Journal of Information Systems
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• v.32 no.1
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• pp.23-51
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• 2023

Purpose: Live commerce is a new type of electronic commerce in combination with live streaming services. It is expected to increase virtual presence in the context of online shopping by overcoming a lack of social interactions between sellers and buyers which have been raised as a limitation in electronic commerce. Drawing on the studies of communication media, this study examines how live commerce contributes to the increase of virtual presence which consists of telepresence and social presence. Telepresence refers to a buyer's perception that he or she is present at the physical shopping mall during live shopping streaming whereas social presence refers to a buyer's perception of social interaction with a seller which is human warm, social, sensitive, and personal. In this study, we verify key determinants of virtual presence and its consequences. More specifically, this study proposes virtual presence contributes to the increase of buyers' trust in products and further purchase intentions. Furthermore, we verify influential factors of virtual presence from the technical and influencer perspectives of live commerce. Design/methodology/approach: To test the proposed hypotheses, the partial least squares (PLS) analysis is conducted with a total of 250 data collected on users with experience in the TaoBao live streaming shopping platform. Findings: The results show that first, telepresence and social presence are increased by visibility, media richness and attractiveness in the context of live shopping streaming. Second, buyers' trust in product trust and purchase intentions are positively influenced by telepresence and social presence. Finally, buyers' trust in product has a direct, positve effect on their purchase intentions. Overall, the findings offer new insights into the studies of electronic commerce by introducting the concepts of virtual presence and media richness from the literature of communication media in the field of live commerce.

• Journal of Fashion Business
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• v.28 no.3
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• pp.90-103
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• 2024

The advancement of information and communication technologies has led to the rise of social media, giving rise to a new type of celebrity known as the "social media influencer". Social media influencers exert their influence not only by promoting products for various companies and brands but also by launching their own businesses. In other words, influencers leverage their credibility to create value in multiple markets as human brands, based on their unique characteristics and diverse images. Nowadays, social media influencers have become a type of human brand, supported by followers who enthusiastically engage in the influencers' businesses, a phenomenon also known as social shopping. Based on the human brand theory and doppelgänger effects, this study aims to investigate the impact of influencers' credibility, specifically their expertise, trustworthiness, and attractiveness on consumers' social shopping behaviors. Additionally, it examines the influence of consumers' desire to imitate influencers on their social shopping behaviors. A survey conducted with 300 female social media users revealed that trustworthiness and attractiveness significantly influenced imitation intentions and social shopping behaviors, while expertise did not show significant effects. Furthermore, imitation intentions had a significant impact on social shopping behaviors. These findings suggest that the attributes consumers perceive in influencers as human brands evoke a desire to imitate them, ultimately leading to social shopping behaviors.

• The Journal of Information Systems
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• v.29 no.2
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• pp.111-130
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• 2020

Purpose SNS (Social Network Service) is one of new promising marketing tools which allow marketer to do two-way communication and social interaction. Three characteristics of SNS marketing including informativeness, interactivity, and playfulness are distinguished from traditional marketing. The purpose of this study is to examine the relationships between three characteristics of SNS marketing, brand image, and purchase intention. Design/methodology/approach The present study proposed a research model integrating SNS marketing characteristics, brand image, and purchase intention represented by structural equation modelling and four hypotheses. A total of 20 questionnaire items for five variables were developed and measured by using five point Likert scale. 199 valid data were collected and used to test four hypotheses using SmartPLS. Findings Three hypotheses that the characteristics of SNS marketing such as informativeness, interactivity, and playfulness have a positive influence on brand image were supported at the significance level of 0.05 and 0.001 respectively. The hypothesis regarding the relationship between brand image and purchase intention was also supported at the significance level of 0.001. Brand image plays a significant mediating role in the relationship between SNS marketing and purchase intention. In particular, the result of research that playfulness of SNS marketing affects brand image significantly suggests a new future research theme regarding spiritual marketing. Implications for academics and practitioners were suggested.

• Journal of Korea Multimedia Society
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• v.17 no.11
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• pp.1286-1295
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• 2014

This paper suggests the way that it could improve the reliability about preference of user's feedback by adding weighting factor on sentiment analysis, and efficiently make a sentiment analysis of users' emotional perspective on the big data massively generated on twitter. To solve errors on earlier studies, this paper has improved recall and precision of sensibility determination by using sensibility dictionary subdivided sentiment polarity based on the level of sensibility and given impotance to sensibility determination by populating slang, new words, emoticons and idiomatic expressions not in the system dictionary. It has considered the context through conjunctive adverbs fixed in korean characteristics which are free to the word order. It also recognize sensibility words such as TF(Term Frequency), RT(Retweet), Follower which are weighting factors of preference and has increased reliability of preference analysis considering weight on 'a very emotional tweet', 'a recognised tweet from users' and 'a tweeter influencer'