Search results

The success of social commerce depends on consumers' willingness to participate in social commerce activities. Practitioners have attached increasing attention to facilitating social commerce intention with influencer strategies. However, theoretical understanding or empirical investigation on the impact of digital influencers on consumers' social commerce intention is limited. This study aims to provide new insights into the drivers of two forms of social commerce intention: social shopping and social sharing intention. Based on the theoretical lens of social power, this study answers how digital influencers affect consumer satisfaction and ultimately boost their intention to conduct social commerce activities.

A field interview is conducted to determine the appropriate social power forms. An online survey on a large social commerce site in China with 310 respondents is conducted to test the proposed model.

Results indicate that expert power and referent power derived from digital influencers predict most of the consumers' economic satisfaction, whereas referent power and reciprocity power explain consumers' social satisfaction. Economic satisfaction affects social shopping and social sharing intention, whereas social satisfaction only influences social sharing intention.

This study sheds new light on the theoretical understanding of the effect of digital influencers through a lens of social power. It provides new insight into the determinants of social commerce intention. It also compensates for the neglect of social satisfaction in the social commerce context.

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.

The study aims to explore the digital fashion trend within the Metaverse, characterized by non-fungible tokens (NFTs), across Twitter networks. Integrating theories of diffusion of innovation, two-step flow of communication and self-efficacy, the authors aimed to uncover the diffusion structure and the influencer's social roles undertaken by social entities in fostering communication and collaboration for the advancement of Metaverse fashion.

Social network analysis examined the critical graph metrics to profile, visualize, and cluster the unstructured network data. The authors used the NodeXL program to analyze two hashtag keyword networks, “#metaverse fashion” and “#metawear,” using Twitter API data. Cluster, semantic, and time series analyses were performed to visualize the contents and contexts of communication and collaboration in the diffusion of Metaverse fashion.

The results unraveled the “broadcast network” structure and the influencers' social roles of opinion leaders and market mavens within Twitter's “#metaverse fashion” diffusion. The roles of innovators and early adopters among influencers were comparable in collaborating within the competition venues, promoting awareness and participation in digital fashion diffusion during specific “fad” periods, particularly when digital fashion NFTs and cryptocurrencies became intertwined with the competition in the Metaverse.

The study contributed to theory building by integrating three theories, emphasizing effective communication and collaboration among influencers, organizations, and competition venues in broadcasting digital fashion within shared networks. The validation of multi-faceted Social Network Analysis was crucial for timely insights, highlighting the critical digital fashion equity in capturing consumers' attention and driving engagement and ownership of Metaverse fashion.

The purpose of this paper is to conceptualize virtual influencer marketing, outlining the opportunities and dangers associated with using virtual influencers in social media marketing communications.

Drawing on the literature addressing influencer marketing and interactions between consumers and technologies, this paper introduces the landscape of virtual influencer marketing.

This paper distinguishes virtual influencers from real-life influencers and related digital characters. It further defines four unique elements attributed to virtual influencers: customization, flexibility, ownership and automation. Finally, it introduces a taxonomy for virtual influencers.

The conceptualization of virtual influencer marketing contributes to advancing the understanding of the (virtual) influencer marketing landscape.

This paper suggests that brands need to carefully evaluate the different characteristics of virtual influencers, when deciding to leverage them in social media marketing communications. It also provides guidelines for working with virtual influencers in marketing campaigns targeted at consumers.

This paper discusses ethical and social implications for brands and consumers that interact with virtual influencers in the encounter between reality and virtuality.

This paper makes three contributions. First, it conceptualizes virtual influencer marketing by defining and critically evaluating the key characteristics attributed to virtual influencers. Second, it offers a 2 × 2 taxonomy of virtual influencers, grounded in research on anthropomorphism and reality–virtuality. Third, this paper reflects on the opportunities and dangers associated with virtual influencer marketing, outlining avenues for future research.

This paper demonstrates how #50+ fashion Instagram influencers contribute to the social construction of cognitive age through their aesthetic digital labours.

Non-participative netnography was used in the form of visual and textual analysis of over 300 Instagram posts including images, captions and comments.

Findings reveal how outfit selection, background choices and bodily poses redefine expressions of look age through forms of aesthetic labour. Post-construction, hashtag and emoji usage illustrates how influencers refrain from directly posting about the fashion brands that they endorse. Instead, image and personality work visually attracts followers to politically charged posts which directly impact upon the social and cultural contexts where influencers are active. This ties into present-day wider societal discourses.

50+ fashion influencers have high spending power. Fashion brands should refrain from using #brand and collaborate in more subtle ways and concentrate on challenging the negativity of the old-age cliché.

The study advances theory on the social construction of age in fashion studies by combining cognitive age with aesthetic labour to identify the characteristics of the social phenomenon of the 50+ Instagram influencer. It applies principles from critical visual analysis to digital context, thereby advancing the qualitative netnographic toolkit.

This study aims to reveal the knowledge structure of social media influencer marketing literature by performing science mapping analysis through a state-of-the-art bibliometric approach to determine the current and future trends. Social media influencer marketing is one of the most effective approaches to presenting a brand and offering value to consumers via social media.

This study evaluates the knowledge structure to uncover the emerging trends and future predictions in social media influencer marketing through bibliographic coupling and co-word analysis. In total, 917 journal publications were retrieved from the Web of Science database and analyzed using VOSviewer software.

The central theme in social media influencer marketing reflects digital engagement between influencers and followers and communication between influencers and followers. The theoretical and managerial implications are discussed.

This study unleashes the knowledge structure according to the fundamental literature of social media influencer marketing and the underlying themes related to the phenomenon.

The purpose of this study is to identify the key components pertaining and governing a Computer-Generated Influencer’s (CGI’s) identity and explores and analyzes the ensuing relationship between the CGI and its digital environment.

This study follows an exploratory approach using in-depth interviews of CGI followers. A total of 37 in-depth interviews were then analyzed using an inductive thematic approach to steer data coding.

CGIs are considered as brand entities that have a combination of components under their overall perceived identity. This study encompasses the different relational dimensions, whether from a follower’s followers, CGI-follower’s, CGI–human influencer’s or CGI-endorsed brand’s perspective.

This research contributes a seminal work in the field of virtual influencers.

To better understand the uptake of cosmetic procedures in the wake of Instagram, this study aims to unravel how the aesthetic labour of influencers acts as the packaging of the cosmetic servicescape. In doing so, the authors contribute to theorising of aesthetic and emotional labour within the services marketing literature, fleshing out the bodywork of influential others not as employees but endorsers, who act like the “walking billboards” (Zeithaml and Bitner, 2003) for the cosmetic service industry.

This study adopts a dual qualitative approach to data collection, coupling netnographic material from Instagram posts with 16 in-depth interviews with female Instagram users who have undergone or hope to undergo cosmetic surgery. Using mediated discourse analysis, the authors weave their visual and discursive data together for a richer account of the commoditisation of cosmetic surgery.

Adopting a postfeminist neoliberal lens, where women are viewed as aesthetic entrepreneurs who are constantly working on the body and the self, the findings of the study reveal how influencers’ aesthetic and emotional labour help package, propagate and demystify the cosmetic servicescape. Through their visual storytelling, we see how influencers help endorse (local) cosmetic services; commoditise cosmetic procedures through the conspicuous display of their ongoing body projects whilst masking the labour and pain involved; and how face-filters that use augmented reality (AR) technology foster new forms of (digitised) body dysmorphia.

The authors shed light on the darker side of social media and body-enhancing technologies, where tales of body transformation trivialise cosmetic intervention and AR technology induces a digitised body dysmorphia.

This study aims to provide a holistic review of social media influencers (SMIs) research based on a unique approach of bibliometric analysis and content analysis between 2011 and 2020. The review examines the main influential aspects, themes and research streams to identify research directions for the future.

The sample selection and data collection were done from the Scopus database. The sample dataset was refined based on the inclusion and exclusion criteria to determine the final dataset of 183 articles. The dataset was exported in the BibTeX format and then imported into the BiblioShiny app for bibliometric analysis. The content analysis was done following the theory-context-methodology framework.

The several findings of this study include (1) Co-word analysis of most used keywords; (2) Longitudinal thematic evolution; (3) The focus of the research papers as per the theory-context-methodology review protocol are persuasion knowledge model, fashion and beauty industries, Instagram and content analysis, respectively; and (4) The network analysis of the research studies is known as the co-citation analysis and depicts the intellectual structure in the domain. This analysis resulted in four clusters of the research streams from the literature and two emergent themes (Chen et al., 2010)

In general, the previous reviews in the area are either domain, method or theory-based. Thus, this study aims to complement and extend the existing literature by presenting the overall picture of the SMI research with the help of a unique combined approach and further highlighting the trends and future research directions based on the findings of this study.

The purpose of this study is to address these questions. Word-of-mouth (WOM) is increasingly important in business-to-business (B2B) decision-making. Yet, research on this topic is rather limited, and often borrows from business-to-consumer (B2C) WOM literature. The question remains as to whether these assumptions realistically occur in B2B WOM. Specifically, this study explores the following questions: What value does B2B WOM have? Why do social media influencers in B2B engage in WOM? What type(s) of social media influencers spread WOM in B2B?

To address these questions, this study adopts a qualitative research strategy. This study focuses on industry analysts in information technology markets who often influence the buying decisions of customers through their expertise and recommendations of technology solutions. Based on interviews with these influencers, this study explicates B2B WOM, an area the authors know much less of in comparison to B2C WOM.

This study reveals differences in who spreads WOM within B2B, their roles, key features of their content and how they spread WOM. Second, this study demonstrates the types of actors spreading WOM in B2B in relation to the type of WOM and how it actually influences B2B markets.

This study broadens the current definition of WOM and, specifically, showcases WOM not only as amplifying messages but as a means to co-create the market itself with vendors and clients. This research offers several contributions to the B2B WOM literature and influencer practice.