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The purpose of this study is to examine the impact of fashion influencer measures on consumers' purchase intentions and the mediation of attitudes to understand the phenomenon of influencer marketing in the backdrop of the fashion industry.

The present study employs a conceptual model based on extended theory of planned behaviour (TPB) with added perceived trust. Data were collected from 341 participants from different regions of the country and analysed using direct path analysis and mediation technique.

The study found that attitudes toward fashion influencers are positively influenced by perceived trust, subjective norms and perceived behavioural control. However, perceived behavioural control is not directly related to purchasing intents in the research model. The results confirmed that attitudes have a positive association with purchase intentions both directly and indirectly (partially mediation).

The study advocates market practitioners and advertisers to acknowledge the increasing importance of influencer marketing and the promotion of their fashion offerings in the setting of emerging fashion industry.

The present study adds crucial value to enhance the understanding of fashion influencer marketing in the Indian context. This research offers several insights into the continually growing knowledge domain of influencer marketing by predicting the direct relationships with purchase intents and the mediation of attitudes.

E-commerce live streaming is a new influencer advertising method that allows influencers to interact directly with consumers on e-commerce platforms. Although evidence suggests that influencer live-streaming advertisements (ads) on social media can increase consumers’ buying impulses, little research examined how this similar but new advertising method on e-commerce platforms may influence consumers’ urge to buy impulsively. This study explores the role of influencer credibility, celebrity effect, perceived entertainment, trust and perceived usefulness on consumers’ attitudes toward influencer ads and their urge to buy impulsively.

A questionnaire containing seven constructs was developed and distributed to participants using a convenient sample and snowball sampling approach. The constructs were measured based on validated measurement items from the literature and adjusted according to this study’s focus. A total of 236 valid responses were obtained from the survey and used for data analysis. A partial least squares structural equation modeling approach was employed for parameter estimation and model testing.

The empirical results show that all constructs influenced consumers’ urge to buy impulsively via attitude toward influencer ads. The proposed research model explains 61.7% of the variance in attitude toward influencer ads and 19.4% of the urge to buy impulsively.

This is an early study investigating the relationship between influencer advertising and impulse buying. The results provide valuable insights into improving the design of influencer ads and marketing strategies.

1. I-eIB model tests the mechanism of influencer ads on consumers’ buying impulse.

2. Consumers’ attitude towards influencer ads affects their urge to buy impulsively.

3. Influencer credibility affects consumer attitude via celebrity effect as a mediator.

4. Trust affects consumer attitude via perceived usefulness as a mediator.

5. Entertaining ads help develop favorable consumer attitude.

I-eIB model tests the mechanism of influencer ads on consumers’ buying impulse.

Consumers’ attitude towards influencer ads affects their urge to buy impulsively.

Influencer credibility affects consumer attitude via celebrity effect as a mediator.

Trust affects consumer attitude via perceived usefulness as a mediator.

Entertaining ads help develop favorable consumer attitude.

Advances in technology and the popularity of social media influencers have sparked a rise of “virtual influencers (VIs).” This study examines consumer attitudes toward VIs in social networking services and explores factors that enhance or dampen these attitudes. In three experiments, it was explored how contextual factors (background and companion) interact with human (HIs) and VIs, influencing attitudes through trustworthiness.

Three experiments were conducted using an online panel (N = 894). All experiments were based on the comparison between HIs and VI with mediating role of trustworthiness. In Studies 2 and 3, moderated mediation analyses were conducted to test hypotheses.

The results revealed that human-like VI was less trusted than animi-like VI or HIs. However, the perceived trustworthiness toward VI was enhanced when the VI was in a virtual (vs. real) environment (Study 2) or accompanied by a virtual (vs. human) companion (Study 3), leading to positive attitudes.

This research not only enriches relevant literature (avatars and SMIs) but also provides actionable insight for practitioners who design and utilize VIs. This paper proposes novel and handy tactics to enhance consumers' trustworthiness in and attitudes toward VIs.

Considering the growth of the at-home smart technology industry and the increasing power of social media influencers, this study aims to examine how influencer endorsements affect individuals’ attitudes and trial intentions toward smart technology products.

An online experiment was conducted to investigate the impact of follower number and expertise domain of influencers and the trust propensity of individuals on their attitudinal and behavioral responses to influencer endorsements of smart technology products. The moderated mediation effect of perceived credibility was further examined.

The results demonstrated that individuals with lower trust propensity responded more positively to a microinfluencer with fewer followers and a specific area of expertise, which led to favorable attitudes and increased intention to try a smart technology product. However, the expertise domain was not a significant factor for the megainfluencer condition with a more extensive follower base. Interestingly, the interaction effects were not observed for individuals with higher trust propensity.

The results of this research provide practical implications for marketers who look for effective strategies for influencer marketing by demonstrating the significant impact of source-related cues, including follower number and expertise domain.

Based on the modality, agency, interactivity and navigability; source credibility; and persuasion knowledge models, this research explains how source-related cues of influencers affect credibility judgment, attitude formation and trial intentions for new technology products and how trust propensity as a personal dispositional factor varies the relationship.

On Instagram, a verified badge (a blue checkmark) is used to confirm the authenticity of influencers' accounts for consumers. Yet, it is unclear whether followers trust the badge or are influenced by the influencer's large following. This research aims to investigate the impact of verified badges on followers' trust and behavioral intentions.

This research conducts three experiments to investigate the impact of the verified badge on consumer attitudes and behavioral intentions, recruiting participants from freelance recruiting website in all three experiments.

The results show that a verified badge can sequentially influence consumer trust, attitude and sharing intentions. Furthermore, the impact of the verified badge on trust is more pronounced among micro-influencers as opposed to macro-influencers, and it can mitigate the negative attitude toward commercial postings.

Based on trust transfer theory, this research is a pioneer in investigating the effectiveness of verified badges on social media. These findings contribute to the field of influencer marketing by considering influencers' characteristics and the commercial intent of postings as moderators. Additionally, the results offer managerial insights for developing influencer marketing strategies.

Digital influencers, besides being a personal branding phenomenon, constitute, nowadays, important partners for brands in the digital environment. Despite the benefits for both parties, the brand and the endorser, there is a risk when the individuals or the brand take part in some scandal or questionable activity, which causes a loss of credibility and reputation. The contagious effect of personal or corporate brand crisis with the partners is well reported in the literature. However, there are no studies about such occurrence in the digital environment, considering that the phenomenon of digital influence has some particularities differing from traditional celebrity endorsement. This chapter focuses on the research of the consequences of a change in the credibility of influencers or brands, after the occurrence of a negative situation, and the way in which this change affects the two parties involved, the brand and the influencer. We conducted a netnographic study of the social media pages of three digital influencers and the social media pages of a recognized fast fashion brand recognized in the digital world. We analyzed 1500 social media comments from their audiences and found that influencers suffer from a loss in sympathy and credibility by scandals while crisis communication strategies in corporate brands can prevent such damages. Strategic implications for brand managers and digital influencers managing their endorsements are addressed in the discussion.

Users' voluntary forwarding behavior opens a new avenue for companies to promote their brands and products on social networking sites (SNS). However, research on voluntary information disseminators is limited. This paper aims to bring an in-depth understanding of voluntary disseminators by answering the following questions: (1) What is the underlying mechanism by which some users are more enthusiastic to voluntarily forward content of interest? (2) How to identify them? We propose a theoretical model based on the Elaboration-Likelihood Model (ELM) and examine three types of factors that moderate the effect of preference matching on individual forwarding behavior, including personal characteristics, tweet characteristics and sender–receiver relationships.

Via Twitter API, we randomly crawled 1967 Twitter users' data to validate the conceptual framework. Each user’s original tweets and retweeted tweets, profile data such as the number of followers and followees and verification status were obtained. The final corpus contains 163,554 data points composed of 1,634 valid twitterers' retweeting behavior. Tweets produced by these core users' followees were also crawled. These data points constitute an unbalanced panel data and we employ different models — fixed-effects, random-effects and pooled logit models — to test the moderation effects. The robustness test shows consistency among these different models.

Preference matching significantly affects users' forwarding behavior, implying that SNS users are more likely to share contents that align with their preferences. In addition, we find that popular users with lots of followers, heavy SNS users who author tweets or forward other-sourced tweets more frequently and users who tend to produce longer original contents are more enthusiastic to disseminate contents of interest. Furthermore, interaction strength has a positive moderating effect on the relationship between preference matching and individuals' forwarding decisions, suggesting that users are more likely to disseminate content of interest when it comes from strong ties. However, the moderating effect of perceived affinity is significantly negative, indicating that an online community of individuals with many common friends is not an ideal place to engage individuals in sharing information.

This work brings about a deep understanding of users' voluntary forwarding behavior of content of interest. To the best of our knowledge, the current study is the first to examine (1) the underlying mechanism by which some users are more likely to voluntarily forward content of interest; and (2) how to identify these potential voluntary disseminators. By extending the ELM, we examine the moderating effect of tweet characteristics, sender–receiver relationships as well as personal characteristics. Our research findings provide practical guidelines for enterprises and government institutions to choose voluntary endorsers when trying to engage individuals in information dissemination on SNS.

This study aims to gain insights into the rise of virtual social media influencers and identify the significant theories governing virtual influencers’ (VIs) interaction with followers on social media platforms. Studies on VI being scarce in marketing literature, the authors attempt to propose a theoretical model to understand the acceptance of VIs by social media users (SMUs).

Using a structured literature review and a case study approach, a conceptual model is developed and propositions are offered.

Parasocial interaction (PSI) between the SMU and VIs builds up source credibility, thereby leading to the acceptance of VIs. Thus, the authors establish that PSI and source credibility theory combine to explain the acceptance of VIs by SMUs. Furthermore, similarity with the VI is another added dimension of source credibility, as suggested by this study. A comparative analysis of the growth of five major VIs elucidates that the fashion, electronic, tourism and health-care industries can use them for promotions and as influencers, especially for luxury products.

VIs are a potent tool to achieve improved brand awareness and to target young consumers (especially Gen Y and Gen Z – millennials).

The emergence of VIs being recent; little is comprehended about their interaction with SMUs. Hence, it becomes important to delineate the foundations of VI–SMU interaction. Thus, this study addresses the gap in identifying the theoretical background and proposes a conceptual model elucidating VI acceptance by SMUs.

The purpose of this paper is to examine how different types of user experience in TikTok impact purchase intention via commitment to the influencer and commitment to the platform, with customer type included to determine moderating effects. Three types of user experience are considered: information experience, entertainment experience and parasocial-relationship-based experience.

This study collected 458 valid questionnaires from TikTok users, employing the structural equation modeling approach to examine the proposed research model.

Information experience, entertainment experience and parasocial-relationship-based experience are found to critically stimulate user commitment to the influencer and commitment to the platform, in turn driving TikTok-based purchase intention. Tests incorporating customer type reveal that commitment to the influencer more strongly influences the purchase intention of repeat customers, with commitment to the platform more likely to stimulate purchase intention among potential customers.

On a theoretical level, the paper is among the first to examine TikTok-based user purchase intention with customer type as a moderator. On a practical level, the results can guide marketers to effectively promote products using TikTok and inspire TikTok managers to develop customized strategies to stimulate initial and repeat sales.

TikTok is moving to the stage of commercialization and monetization by introducing e-commerce features. Although this move should cultivate particularly fertile ground for companies to sell products, TikTok user purchase behavior has yet to receive sufficient research attention, with little currently known about their purchase motivations. The current study uncovers the significant antecedents of users' purchase intention through TikTok, and further reveals the motivational differences among potential and repeat customers.

This study aims to examine how young consumers perceive the advertising effectiveness of endorsements by virtual idols and how endorsements by virtual idols differ from endorsements by real human celebrities such as traditional celebrities and online influencers.

An experimental study was conducted with 400 randomly selected young respondents in China in December 2022. A 3 × 2 factorial design was used to test how the type of celebrity endorser and level of product involvement influence the persuasiveness of advertising aimed at young adults. Among 400 respondents, the average age was 21.5 years. A total of 193 male and 207 female respondents participated in the experiment.

Young consumers find virtual idols, online influencers and traditional celebrities attractive. Although virtual idols are the least credible among the three types of celebrity endorsers, young consumers tend to be more convinced by their endorsements of products with low levels of consumer involvement than those with high levels of involvement. Among the three types of celebrity endorsements, young consumers find traditional celebrities the most effective. In addition, young consumers’ attitudes toward celebrity endorsers mediate the impact of celebrity endorsers’ attractiveness and credibility on their attitudes toward the advertisements. The perceived level of product involvement moderates the transfer of meaning from the attitude toward the celebrity endorsers to the attitude toward the advertisement.

First, when choosing celebrity endorsers to advertise products targeting young consumers, marketing communication practitioners should give priority to the endorsers’ perceived credibility, as young consumers have a variety of views about them that can significantly affect their attitudes toward the advertisement. Second, real human celebrity endorsers are more effective than virtual idols in celebrity endorsements. However, virtual idols may be suited for use in advertisements to promote products with low involvement levels, such as soft drinks.

To the best of the authors’ knowledge, this is the first experimental study to attempt to analyze the effectiveness of virtual idols in advertising aimed at young consumers. This is also the first comparative study to introduce virtual idols as celebrity endorsers in product advertising and to compare their effectiveness with that of the two other types of commonly discussed celebrity endorsers, traditional celebrities and online influencers.