• Journal of Smart Tourism
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• v.1 no.3
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• pp.31-44
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• 2021

The emergence of the digital economy and easy accessibility to Web 2.0 tools has seen an expansion of the influencer ecosystem within the travel and tourism industry. Founded on the principles of reference groups and peer reference there is a growing trend amongst industry practitioners who are now opting to move away from many of the traditional approaches used to market their products and services and are instead taking advantage of the concept of e-word-of-mouth (eWOM). Whilst there is a growing body of academic literature addressing the notion of influencer marketing, there is little understanding of influencer marketers themselves. Consequentially, this study addresses this gap in the literature through the quantitative examination of those who promote products, services, or companies by distributing eWOM through their online digital channels and presence; otherwise known as travel influencers. A quantitative research approach involving an online survey yielded 255 responses from travel influencers. The research findings indicate that those who work in this field prefer not to be awarded the label "travel influencer," focusing instead on their specific method of influencing, such as blogging and vlogging or sharing Instagram updates. The research also demonstrates how the new influencers have a strong role in generating travel urge and desire. The research contributes to the wider body of academic literature and travel industry practitioners by establishing the general profile of influencers and their increasingly specialized role in tourism and hospitality marketing.

• International Journal of Contents
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• v.16 no.1
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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.

• International journal of advanced smart convergence
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• v.12 no.2
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• pp.127-134
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• 2023

Existing studies on this topic have focused on the effect of online content quality on consumer attitudes and behavior, with very few illustrating the effect of influencer image on consumer attitudes and behavior. The purpose of this study intents to reveal how influencer image affect consumer behavior. We have developed an image transfer theory-based research model to reveal how influencers transfer their image to endorsed products to influence consumer behavior. The results show that influencer image positively affects satisfaction, which in turn affects the product's cognitive and affective images in the vlog. Moreover, it was found that a product's cognitive image and affective image influence consumer behavior intention. Furthermore, purchase experience exhibits significant differences in its path. Based on these results, the social media-related research theoretical implication will be offered, and managerial implications will be provided for foreign brand promotion strategies

• Fashion & Textile Research Journal
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• v.21 no.5
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• pp.574-585
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• 2019

The acceleration of digital transformation (DX) has resulted in SNS influencer marketing trends becoming the mainstream of the new market. SNS influencers act as early adopters in the process of new products being accepted. Chinese consumers are most affected by Hallyu, which increases interest in K-beauty products. This study analyzes how K-beauty SNS influencers are related to Chinese consumers. A survey was conducted among Chinese millennial consumers after watching videos provided by K-beauty SNS influencer; subsequently, 456 responses were used for data analysis. As a result, the analysis based on the Elaboration Likelihood Model (ELM) distinguishes the central route and the peripheral route in the process of Chinese consumers accepting new SNS products. The study findings suggested that information quality, credibility, accuracy, and usefulness had significant effects on acceptance intention for new products among central route factors, and similarity, trustworthiness, pleasure, expertise, and attractiveness also had significant effects on the acceptance intention of new product among peripheral route factors. It was found that variables of the central route, rather than those of peripheral route, had stronger effects on the acceptance intention for new products. Consequently, the central route of K-beauty SNS influencer is more important to Chinese consumers' acceptance of new products. It is expected that this study will offer beauty influencer marketing-based cosmetics brands efficient consumer management suggestions.

• The Journal of the Convergence on Culture Technology
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• v.8 no.2
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• pp.309-314
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• 2022

The purpose of this study is to examine how the characteristics of virtual influencer, which are rapidly emerging in recent years, affect consumers. To this end, the change in information accecptance intention was examined using the perceived attractiveness and social distance of consumers toward virtual influencers as independent variables. I found the more attractive consumers feel about virtual influencer and the closer they perceive social distance, the higher the intention to accept information. However, when virtual influencer was perceived as attractive, there was no difference in information acceptance intention according to social distance. On the other side, even if the virtual influencer was perceived as less attractive, the information acceptance intention was higher when the social distance was perceived as close than when it was not. Based on these results, I provided implications for the marketing strategy of virtual influencers.

• Journal of the Korea Society of Computer and Information
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• v.27 no.4
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• pp.169-181
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• 2022

Currently, due to the activation of SNS live broadcasting, online services based on influencer live broadcasting are becoming a major consumption trend around the world. This study aims to verify the relationship between service quality, customer satisfaction, product characteristics, and acceptance intention for influencer broadcasting based on nfluencer broadcasting experiences in an Internet environment. This study conducted a survey of users who experienced live broadcasting on social media in Taiwan from June 29 to August 30, 2020, and a total of 253 copies were used for empirical analysis. The collected data were analyzed through SPSS 25.0. The results of the empirical analysis are summarized as follows. First, it was found that the service quality factors (reliability, tangibility, responsiveness, certainty, and empathy) of Taiwan's influencer live broadcast had a significant effect on live broadcast satisfaction. Second, it was found that the product characteristics of Taiwan's influencer live broadcasting had a significant effect on product satisfaction. Third, it was found that live broadcasting satisfaction and product satisfaction had a significant effect on the acceptance intention of new brands in Taiwan's influencer live broadcasting. This study will provide useful data for establishing efficient marketing strategies to improve live and product satisfaction and increase acceptance of new brands by identifying service quality factors and product characteristics of Taiwan's influencer Live Broadcasting.

• Journal of the Korean Society of Clothing and Textiles
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• v.43 no.5
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• pp.605-619
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• 2019

This study investigates the effects of fashion consumers' individualism collectivism propensity, social capital and Instagram usage propensity on evaluations for fashion influencer's attributes on Instagram. This study conducted a questionnaire survey of 20 to 30 year old male and female Instagram users. A total of 483 replies were submitted and 467 of the replies were used in the final analysis. The quantitative data collected through questionnaires were analyzed using reliability analysis using SPSS 18.0 while AMOS 18.0 was used to test the model fit and a structural equation modeling between the variables. The results indicated that vertical collectivism and vertical individualism were found to be related to relationship seeking propensity; only vertical individualism was found to be related to information seeking propensity. Furthermore, relationship seeking propensity and information seeking propensity were both related to the fashion influencer's attributes of professionalism, intimacy and attractiveness.

• The Journal of Information Systems
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• v.30 no.1
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• pp.179-204
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• 2021

Purpose The purpose of this study is to suggest a research model that shows how Youtube influencers affect consumers' Youtube information adoption and purchase intention. Generally, a communicator's character has a significant effect on the persuasiveness of the message. This study segments influencer characteristics into five dimensions and explores the effect of five characteristics on perceived usefulness of information, perceived enjoyment, information adoption, and purchase intention. Design/methodology/approach This study suggests a structural equation model that explains the casual relationship between the five dimensions of Youtuber characteristics and perceived usefulness of information, perceived enjoyment, information adoption, and purchase intention. Findings There are little research on what and how the characteristics of a Youtube influencer can affect consumers' information adoption and purchase intention of the product. This study is significant in that it provides a research model that examines the effect of Youtuber characteristics on consumers' information adoption and purchase intention. This research discovered that the dimensions of trustworthiness and attractiveness of influencer affect information adoption and purchase intention through the mediate variables.

• Asia-Pacific Journal of Business
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• v.11 no.4
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• pp.121-134
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• 2020

Purpose - The purpose of this study is to investigate consumer's satisfaction with the attractiveness, reliability, and professionalism that are characteristics of social influencers, and to investigate the impact of influencer characteristics on consumers' continuous use intention through satisfaction. Design/methodology/approach - A total of 293 questionnaires on independent samples were used for this study. Collected data were analyzed by SPSS 26.0 and AMOS 24.0 program and frequency analysis, reliability analysis, confirmatory factor analysis, correlation analysis and structural equation model analysis were performed. Findings - The findings demonstrated the followings: First, the attractiveness, reliability and professionalism of influencer had a positive effect on satisfaction. Second, the attractiveness and reliability of influencer had a positive effect on continuous use intention. However, professionalism did not have a significant impact. Third, user satisfaction with social media (channel of influence) had a positive effect on continuous use intention. Research implications or Originality - In doing so, this study was able to provide an in-depth understanding of the key characteristics of influencers and their roles, and contributed to ongoing research by providing suggestions for future studies.

• International journal of advanced smart convergence
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• v.11 no.2
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• pp.95-101
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• 2022

The development of the 4th industry has increased social media, and the rise of COVID-19 has stimulated non-face-to-face services. People's consumption patterns are also changing a lot due to non-face-to-face services. In this paper, food content keywords are derived through social network-based semantic network analysis, emotions are analyzed, and keywords applied to food recommendation platforms are input. We collected food, influencer, and corona keyword analysis data through Textom. A lot of research has been done through online reviews of existing influencer content. However, there is a lack of research on keyword sentiment analysis provided by influencers rather than consumers and research perspectives. This paper uploads language and topics derived through online reviews of existing publications and subscribers, and goes beyond the limits used in marketing methods. By analyzing keywords that influencers suggest when uploading content, you can apply data that applies them to food recommendation platforms and applications.