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Since influencer marketing becomes more sophisticated, it is difficult for brands to manage the strategy and process of this marketing practice. With a practical focus, this study aims at helping marketers cope with the challenge by developing conceptual typologies for influencers and followers and suggesting marketing implications for each type of influencer and follower.

This study subscribes to the perspectives of virtual community and social information processing to develop conceptual typologies for influencers and followers based on their essential characteristics.

Based on levels of expertise and interactivity, influencers can be categorized as broadcasters, leaders, friends and companions. Each type has advantages in certain branding objectives (e.g. increasing awareness, inducing judgments and feelings, building brand and user imagery, encouraging pro-brand behaviors and managing relationships) and is associated with certain marketing limitations (e.g. reach, domain breadth, informational support, brand congruence and relationship management). Based on levels of behavioral engagement and the point of attachment, followers are categorized into spectators, participants, admirers and advocators, with specific marketing communication strategies most effective for each type (e.g. strategies of content, narratives, engagement and co-branding).

The study translates the idea of influencer community into a practically useful framework for practitioners to best leverage influencer marketing and an innovative perspective for scholars to further investigate the phenomenon.

The purpose of this study is to identify the process of virtual influencer stickiness in the age of influencer marketing, which has received little attention in the literature. This is essential because the research creates a theoretical model of follower loyalty/stickiness to virtual influencer techniques from the standpoint of influencer marketing, which has a substantial effect on the evolution of the global marketing world.

In 2022, 302 people who currently follow an Instafamous virtual influencer took part in an Instagram self-administered online survey.

The findings show that both expertise and trustworthiness have a positive and significant influence on parasocial interaction, which in turn has a significant influence on virtual engagement and stickiness.

This research will specifically assist international readers in understanding how to harness and increase the efficiency and efficacy of interactive marketing strategies and methods to engage and retain followers of Instafamous virtual influencer. Moreover, the findings will be beneficial to opinion leaders, brand managers, company investors, entrepreneurs and service designers.

1. The study pioneers a holistic virtual follower stickiness mechanism that comprises the role of source credibility, parasocial interaction, informational influence and virtual follower’s engagement and their interrelationship to each other.

2. This study is based on parasocial interaction theory and source credibility theory to understand the relationship between virtual followers and influencers stickiness process at social media platforms.

3. In addition, the study examined the subsequent effects of sources of credibility components on parasocial interaction; as well as, on virtual follower engagement and stickiness.

4. This study also categorized and examined the moderating effects exerted by the genres of informative influence of virtual influencer.

The study pioneers a holistic virtual follower stickiness mechanism that comprises the role of source credibility, parasocial interaction, informational influence and virtual follower’s engagement and their interrelationship to each other.

This study is based on parasocial interaction theory and source credibility theory to understand the relationship between virtual followers and influencers stickiness process at social media platforms.

In addition, the study examined the subsequent effects of sources of credibility components on parasocial interaction; as well as, on virtual follower engagement and stickiness.

This study also categorized and examined the moderating effects exerted by the genres of informative influence of virtual influencer.

This study aims to focus on the dynamics in influencer-consumer relationships to understand how Generation Z consumers’ identification and social comparison with influencers shape their response to influencers’ branded posts. Specifically, this study investigates how perceived similarity and wishful identification lead to distinct social comparison mechanisms that affect Generation Z consumers’ self-improvement motives, which, in turn, drive their message engagement, brand attitudes and purchase intentions.

An online survey was conducted with 295 college students who are digital natives and whose purchase decisions are heavily influenced by social media influencers.

The study findings confirmed that perceived similarity positively influenced assimilative comparison emotions of optimism, admiration and aspiration while negatively influenced contrastive comparison emotions of envy, depression and resentment. Wishful identification positively affected both assimilative and contrastive comparison emotions. Both types of social comparison emotions further affected consumers’ motivations to follow the influencer for self-improvement, thereby enhancing their brand attitude, purchase intention and engagement behaviors.

This study is one of the earliest attempts to investigate the relationship dynamics between influencers and consumers from the lens of social comparison. The study examines the antecedents of perceived similarity and wishful identification, the mediators of upward comparison emotions and self-improvement motives and the brand evaluation outcomes of message engagement, brand attitude and purchase intention.

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.

After working through the case and the assignment questions, students will be able to understand the current practices and importance of influencer marketing strategies within overall marketing strategies; appreciate both the debate and dissonance that surround influencer performance measures; outline the key elements of Qoruz.com’s investments and efforts that brought them success; understand the strategic intent and justify the logic of operationalisation of Qoruz.com by creating two different SBUs after they launched a vastly improved tech platform; and evaluate potential strategies that Qoruz.com could use to move ahead and cement its supremacy in the influencer marketing space.

Interest in influencer marketing which found many takers during the pandemic was expected to intensify and form the core of many brand strategies. Coupled with this heightened interest and increased budget overlay, demands from brands and agencies alike for clearer ROI linkages and KPIs that have better correlation with business goals, have gained momentum. Qoruz, an early entrant in the influencer marketing space in India, attributed their success to their focus on product innovation and service quality. From a predominantly narrow service offering providing analytics that facilitated decision-making for influencer marketing campaigns, their recently launched multi-feature platform enabled them to expand their services and consolidate their position. However, today, in an increasing volatile market, drawn by the high growth trajectory of the influencer marketing space, many players had jumped in and tried to introduce technology-based platforms with almost similar features while aggressively playing the price card. With the monetary and economic conditions under pressure and constantly changing demands of clients, Qoruz.com found itself faced with a dilemma to protect their first mover advantage. The co-founders of Qoruz realised that to give confidence to their loyal client base, and really cement their leadership, they would need to urgently take stock and relook at their strategy afresh relying on their deep experience of the industry, loyalty of their customers and their tech-centric DNA to build a holistic and ambitious strategy.

This case is designed for use by graduate and under-graduate level students in marketing management and strategic management courses.

Teaching notes are available for educators only.

CSS 11: Strategy.

Online influencers are increasingly used by brands around the globe to establish brand communication. This study aims to investigate the characteristics of social media content in terms of presentation style and brand communication among online influencers in China. The authors identified how characteristics of social media posts influence young consumers’ engagement with the posts.

The authors analyzed 1,779 posts from the Sina Weibo accounts of ten top-ranked online influencers by combining traditional content analysis with Web data crawling of audience engagement with social media posts.

Online influencers in China more frequently used photos than videos to communicate with their social media audience. Altogether 8% and 6% of posts carried information about promotion and event, respectively. Posts with promotional incentives as well as event information were more likely to engage audiences. Altogether 22% of the sampled social media posts mentioned brands. Posts with brand information, however, were less likely to engage audiences. Furthermore, having long text is more effective than photos/images in generating likes from social media audiences.

Combining content analysis of social media posts and engagement analytics obtained via Web data crawling, this study is, to the best of the authors’ knowledge, one of the first empirical studies to analyze influencer marketing and young consumers’ reactions to social media in China.

Prior research has advanced several explanations for social media influencers' (SMIs’) success in the burgeoning computer-mediated marketing environments but leaves one key topic unexplored: the moderating role of SMIs in service failure and recovery strategies.

Drawing on a social constructivist perspective and an inductive approach, 59 in-depth interviews were conducted with millennials from three European countries (Italy, France and the United Kingdom). Building on social influence theory and commitment-trust theory, this study conceptualises four distinct pathways unifying SMIs' efforts in the service failure recovery process.

The emergent model illustrates how source credibility and message content moderate service failure severity and speed of recovery. The insights gained from this study model contribute to research on the pivotal uniqueness of SMIs in service failure recovery processes and offer practical explanations of variations in the implementation of influencer marketing. This study examines a perspective of SMIs that considers the cycle of their influence on customers through service failure and recovery.

The study suggests that negative reactions towards service failure and recovery are reduced if customers have a relationship with influencers prior to the service failure and recovery compared with the reactions of customers who do not have a relationship with the influencer.

In spite of the rise of social media influencers observed in the 2010s, the direction and future of influencers are ambiguous. This popular yet overused marketing tool has shown certain problems and limitations such as a decrease in perceived authenticity and market saturation. Additionally, the outbreak of COVD-19 has amplified the significance of these factors and made many companies and influencers reconsider their involvement in influencer marketing. Within this context, this paper aims to explore whether influencers were impacted by diminishing perceived authenticity, market saturation or the prolonged pandemic. Also, the authors aim to investigate influencers’ perception of the future of influencer marketing post-pandemic.

To gain insight into trends in influencer marketing from the influencer’s perspective, this paper uses qualitative research in the form of interviews with influencers and industry professionals.

The findings highlight the importance of perceived authenticity for success in influencer marketing. Most interviewees indicated that they had noticed a boom in social media influencer marketing before the pandemic, yet provided mixed views regarding the market during the pandemic. Several believe that influencers will continue to be relevant in the increasingly digital world (e.g. increasing digital marketing spend and e-commerce), whereas an expectation of new digital platforms and innovations was also observed. In the long term, saturation and decreased effectiveness were predicted by several interviewees.

This under-researched topic is of relevance especially to consumer goods companies, as social media marketing and influencer marketing are currently highly effective and popular tools. To refine marketing strategies designed around influencers, understanding the limitations, in the context of COVID-19, is crucial.

This study aims to empirically test how sponsored video customization (i.e. the degree to which a sponsored video is customized for a sponsoring brand) affects video shares differently depending on influencer characteristics (i.e. mega influencer and expert influencer) and brand characteristics (i.e. brand establishment and product involvement).

This study uses a unique real-world data set that combines coded variables (e.g. customization) and objective video performance (e.g. sharing) of 365 sponsored videos to test the hypotheses. A negative binomial model is used to analyze the data set.

This study finds that the effect of video customization on video shares varies across contexts. Video customization positively affects shares if they are made for well-established brands and high-involvement products but negatively influences shares if they are produced by mega and expert influencers.

This study extends the influencer marketing literature by focusing on a new media modality – sponsored video. Drawing on the multiple inference model and the persuasion knowledge theory, this study teases out different conditions under which video customization is more or less likely to foster audience engagement, which both influencers and brands care about. The chosen research setting may limit the generalizability of the findings of this study.

The findings suggest that mega and expert influencers need to consider if their endorsement would backfire on a highly customized video. Brands that aim to engage customers with highly-customized videos should gauge their decision by taking into consideration their years of establishment and product involvement. For video-sharing platforms, especially those that are planning to expand their businesses to include “matching-making services” for brands and influencers, the findings provide theory-based guidance on optimizing such matches.

This paper fulfills an urgent research need to study how brands and influencers should produce sponsored videos to achieve optimal outcomes.

The recent livestreaming commerce has magnified the role of influencer marketing, where the influencers are partnering with brands for product promotion. This study examines the impact of influencer attributes, interaction strategies and parasocial relationships on impulsive buying in livestreaming commerce.

A survey with 368 livestreaming commerce users was analyzed using the symmetric-thinking approach – partial least squares structural equation modeling (PLS-SEM) and asymmetric thinking approach – fuzzy set qualitative comparative analysis (fsQCA).

The results of PLS-SEM indicate that influencer trustworthiness, influencer interactivity and self-disclosure determine parasocial relationships, which in turn influence impulsive buying. The fsQCA finding returned three configurations with various combinations of the causal conditions (i.e. influencer attributes, interaction strategies, parasocial relationships, perceived fit uncertainty and perceived quality uncertainty) explaining the formation of impulsive buying.

These findings provide unique linear and nonlinear insights to explain the combinatory effects of influencer attributes, interaction strategies, parasocial relationships, perceived fit uncertainty and perceived quality uncertainty on impulsive buying in livestreaming commerce.