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The purpose of this study is to analyze the interrelationships between incentives and social media users’ intentions to like different brand-related social media content. The study is based on the uses and gratification (U&G) theory and investigates three types of incentives i.e. communal, self-interest, and reward incentives which act as antecedents of customers’ intentions to like three types of brand-related content (commercial messages, personal opinion messages, and lifestyle messages).

A data set of 415 effective responses was collected and structural equation modeling (SEM) was used for analyzing the data.

The obtained results indicate that communal and reward incentives enhance the intentions to like brand-related commercial, personal opinion, and lifestyle content. Self-interest incentives reduce the intentions to like three types of analyzed brand-related content with the strongest negative influence on intentions to like lifestyle content. Regarding the content type, the main drivers for liking lifestyle content and commercial content are reward incentives, whereas liking personal opinion content is mostly motivated by communal incentives.

This study provides valuable insights about users’ motivation to like brand-related content on social media with a focus on different types of brand-related content. The study has strong theoretical contributions as well as practical implications.

Grounded in uses and gratification theory (UGT) and observational learning theory (OLT), this study aims to understand the impact of motivational factors on consumer-influencer engagement behaviors (CIEBs). Motivating factors, including entertainment, information seeking, reward and social interaction, are regarded as antecedents of consumers' OLT, as manifested by CIEB dimensions, including consumption, contribution and creation, and subsequently drive consumer engagement with the endorsed brands.

A self-administered questionnaire was distributed to Malaysian social media users. A total of 263 responses were collected and analyzed using partial least squares structural equation modeling (PLS-SEM) to examine the impact of motivational factors on CIEBs.

The results show that the three dimensions of CIEBs can be predicted by different gratifications (information seeking, entertainment, reward and interaction). In addition, two of the CIEB dimensions, consumption and contribution, were found to have a significant positive influence on consumers' engagement with endorsed brands.

This study provides insights into how social media influencers (SMIs) could lead to CIEBs by creating entertaining and rewarding content that facilitates social interaction between consumers. SMIs and marketers that encourage consumers to browse, comment and share SMI-created posts will enhance consumer engagement with the endorsed brands, as engagement is driven by the consumption and contribution to SMI-created content.

SMI marketing is increasing, and many brands are beginning to rely more on SMIs to promote brands. Yet, there is a dearth of studies that have examined how SMIs play a role in affecting consumers' engagement with endorsed brands. This study contributes to the marketing literature by developing and empirically testing the research model. Results suggest that social interaction, reward and entertainment are key motivational factors that drive CIEBs, which, in turn, foster consumer engagement with endorsed brands.

The purpose of this paper is threefold: first, to study the influence of self-brand image congruity and value congruity on consumer engagement in online brand communities (OBCs); second to test whether gender moderates this effect; and third, it also examines the role of consumer engagement as a driver of brand loyalty.

Using an online questionnaire, 443 responses were collected from consumers who are members of at least one OBC on Facebook. Structural equation modeling was used to analyze the data.

The results revealed that both self-brand image congruity and value congruity significantly affect consumer engagement. A positive effect of consumer engagement on brand loyalty was also attained. Third, the results revealed that gender did not moderate the examined relationships.

This research integrates and broadens existing explanations of different congruity effects on consumer engagement. This study thus suggests the value of developing their OBCs to exhibit congruence with customers’ self-image and value, which in turn, will contribute to the development of brand loyalty.

This research applies congruity theory to examine the impact of self-brand image- and value congruity on consumer engagement in OBCs. Through the establishment of this novel theoretical link, this study furthers insight into the domain of social media marketing.

The purpose of this study is to investigate the impact of luxury buyers' awareness of a luxury brand's corporate social responsibility (CSR) activities together with its individual brand-related sustainable dimensions (in terms of economic, societal and environmental) and luxury values on purchase intention for luxury products and, as a result, highlight the potential implications of these relationships for the luxury industry.

A luxury purchase intention model, which assumes an impact from traditional luxury values and CSR, was indicated based on the authors' previous qualitative research and corresponding literature review. To validate the model by proving that the suggested relationships are statistically significant, (1,100) luxury customers over the age of 18 were approached, and (253) valid responses were entered and analyzed using SEM to confirm the indicated theoretical model's hypothesized causal relations.

The findings suggest a positive and significant relationship between buyers’ awareness of a specific luxury brand's CSR-related activities and their purchase intention; however, certain demographics and gender both moderate this relationship. The moderating role of general attitudes toward CSR and sustainability on this relationship was not confirmed. Furthermore, awareness of the brand's CSR positively mediates the relationship between both the societal/environmental and economic parts of the brand-related individual sustainable dimension and purchase intention.

The results of this study are based on actual purchases of branded luxury items and validate the authors' indicative model based on earlier qualitative research by claiming a significant relationship between the purchase intention for a brand and awareness of its CSR activities amongst luxury shoppers.

Social bots are prevalent on social media. Malicious bots can severely distort the true voices of customers. This paper aims to examine social bots in the context of big data of user-generated content. In particular, the author investigates the scope of information distortion for 24 brands across seven industries. Furthermore, the author studies the mechanisms that make social bots viral. Last, approaches to detecting and preventing malicious bots are recommended.

A Twitter data set of 29 million tweets was collected. Latent Dirichlet allocation and word cloud were used to visualize unstructured big data of textual content. Sentiment analysis was used to automatically classify 29 million tweets. A fixed-effects model was run on the final panel data.

The findings demonstrate that social bots significantly distort brand-related information across all industries and among all brands under study. Moreover, Twitter social bots are significantly more effective at spreading word of mouth. In addition, social bots use volumes and emotions as major effective mechanisms to influence and manipulate the spread of information about brands. Finally, the bot detection approaches are effective at identifying bots.

As brand companies use social networks to monitor brand reputation and engage customers, it is critical for them to distinguish true consumer opinions from fake ones which are artificially created by social bots.

This is the first big data examination of social bots in the context of brand-related user-generated content.

Understanding how to predict and manage the spread of negative brand-relevant content is of critical concern to marketers. This paper aims to contribute to this understanding by building on existing anti-branding, brand hate and word-of-mouth literature to explore the factors that lead individuals to engage in the transmission of negative brand-relevant information via social media.

A two-phase exploratory design was used. The first stage involved an analysis of negative transmission via comments left on news and brand posts. The second phase of the research involved a series of 13 depth interviews with frequent social media users about their negative brand-relevant transmission behavior to add richness and depth to the findings from the passive observation in the first phase of the research.

The first phase of the research demonstrated that negative transmission can be both brand-related (e.g. driven by-product or service failure or corporate irresponsibility) and consumer-related (e.g. driven by self or social motives). The second phase of the research clarified that negative transmission often occurs in the absence of brand hate, particularly when it can be used as a covert method of self-enhancement for the transmitter via downward social comparisons.

Negative transmission as a form of anti-branding that is more strongly self-related (as opposed to brand) is established, progressing understanding and applications of contemporary media channels. Implications, including how brand-generated controversy and consumer reinforcement can be used to manage negative transmission, are offered.

Consumer engagement has become a critical component to many brands' relationship and promotional efforts. Empirical studies have documented the psychological elements that can drive consumers to engage with brands. However, there is a knowledge gap regarding how consumer engagement is influenced by the social environment consumers are embedded in. Taking an egocentric network approach, this study explores the social network factors that affect different dimensions of consumers' online engagement behaviors with a brand.

An online survey with an egocentric network design was employed, and 263 completed responses were collected from college students in US. The dimensionality of consumer engagement was validated using exploratory factor analysis. The hypotheses were tested through three sets of hierarchical regression models.

The results suggest that consumer engagement with a brand was partially shaped by the attributes of consumers' brand discussion networks that emerge from their conversations about a brand with others in everyday life. Specifically, the size, heterogeneity, and density to consumers' discussion networks were associated with certain engagement behaviors.

This study introduces a novel type of network method known as egocentric network analysis to explore and investigate the social network antecedents to consumer engagement behavior. It advances the conception of consumer engagement as a dynamic process influencing and is influenced by consumers' social interactions rather than merely a product of their psychological mechanisms. The study contributes to a social network approach to examining and conceptualizing consumer engagement.

Reports on an experimental study where the effects of ad‐brand incongruency on a familiar brand and an unfamiliar brand, respectively, are measured. Building on theory on information incongruency, tests the notion that ads that are incongruent with the brand image may be more effective in raising brand interest and brand memorability. However, this depends on the familiarity of the brand: the incongruency reinforces the existing associations for a familiar brand by increasing elaboration of the brand message, whereas the incongruent associations may take the upper hand for an unfamiliar brand with weaker existing associations. The results show that ad‐brand incongruency enhances brand attitude and brand memorability and reduces ad memorability for the familiar brand. The only significant effect of ad‐brand incongruency for the unfamiliar brand is a reduced brand memorability.

A comprehensive operational framework is proposed to explain young consumers’ (i.e. generations Y and Z) engagement with brands on social media sites (SMSs). This paper aims to synthesize two motivational theories: uses and gratifications (U&G) theory and the technology acceptance model (TAM).

A selective literature review was conducted to examine recent publications related to young consumers’ brand-driven engagement behavior on SMSs in which either TAM or U&G theory was applied. A three-stage method was used: an initial search was followed by vertical and horizontal searches and then a targeted search of scholarly publications. At each stage, the university’s library databases and Google Scholar were searched for relevant, mainly peer-reviewed articles, using appropriate filters and keywords. The articles’ references and the studies that cited those articles were added to the initially identified research pool (vertical search), coupled with publications of a similar nature based on keywords (horizontal search). The final stage, the targeted search, involved identifying and adding specific articles (e.g. literature reviews and integrated models).

After a review of a significant number of U&G and TAM studies, similarities and differences of the two theories were identified, and an integrated operational framework was developed. Based on empirical findings of existing U&G and TAM studies, testable propositions were presented.

The proposed hybrid model and the associated propositions provide a research opportunity to empirically examine how young consumers’ motivational (i.e. motivating and demotivating) drivers, normative influence, perceived value and attitudes (toward brand content and engagement) predict intention or actual brand-related behavior on SMSs.

Much of current research indicates that generations Y and Z (“digital natives”) spend considerably more time on SMSs than any of the older generations (“digital immigrants”). Thus, brands that aim to target this cohort need to develop successful engagement strategies (e.g. gamification and influencer marketing) on current and emerging SMSs. The suggested conceptualization provides guidelines for companies to effectively use such communication strategies to motivate young people to engage with their brands on sites such as Twitter, Instagram and Facebook.

A review of TAM research indicates that it lacks rich motivating/demotivating constructs, and thus borrows from other theories to complement this weakness. An examination of U&G frameworks, particularity Ducoffe (1996)-based models, indicates that these frameworks mainly test engagement with social media advertising but seldom other types of brand-driven engagement on SMSs. In addition, many U&G studies focus less than TAM studies do on outcome variables such as behavioral intentions and behavior. Thus, the authors propose a synthesized U&G and TAM framework that mitigates both theories’ weaknesses and builds on their strengths, enriching the growing research on brand-driven engagement behavior via SMSs.

To help brands persuasively communicate their environmentally responsible initiatives, this study aims to involve two experiments, examining the impact of brand schema, information transparency and skepticism toward climate change for brands both familiar and unfamiliar to US consumers.

Two online experiments were designed recruiting a total of 510 participants. The design incorporates both message and treatment variance to increase internal and external validity of the study. Data collected were analyzed using PROCESS, a regression-based conditional path analysis technique.

The results indicated that for both familiar and unfamiliar brands, increased congruity of consumers' schemas to information presented in brands' pro-environmental messages led consumers to evaluate the messages as more persuasive, have more positive opinions about brands' environmentally responsible initiatives as well as behavioral intentions toward the brand. Also, presence of high information transparency on environmental responsibility-related messages influenced consumers' schemas positively, and in turn, their evaluations were more favorable. However, consumers’ climate change skepticism seemed to influence unfamiliar, not familiar brands.

The study provides both theoretical and managerial implications. The findings are important for established apparel brands that suffer from negative reputations, but are willing to revitalize their images, and for new ventures who want to establish their image as environmentally responsible.