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The purpose of this study is to analyse user-generated content and firm-generated content on perceived quality and brand trust, and eventually how it impacted brand loyalty with pandemic fear as the moderator.

This study employed an online survey questionnaire method in the Facebook online shopping groups to collect the data. The filter question technique was adopted to verify the respondent's validity. A total of 434 samples was collected using purposive sampling. The data were then analysed using SmartPLS 3.0.

The analysis showed that firm-generated content appeared to have a stronger positive relationship on perceived quality and brand trust than on user-generated content. Brand trust and perceived quality are found to influence brand loyalty positively. However, pandemic fears only moderate the relationship between firm-generated content and brand trust and perceived quality. This study revealed that the main components in social media communication do not influence perceived quality and brand trust to the same extent.

This study contributes to the knowledge of social media communication during the pandemic period that has not been studied empirically in the Malaysian context. The main components in social media communication were delineated and the impact of pandemic fears on how they would possibly affect the established relationships in the literature were examined. This study enables the researchers and practitioners to take a closer look at how the pandemic crisis could provide a shift on what has been understood so far.

The aim of this study is first, to investigate the relative effect of user-generated content (UGC) and firm-generated content (FGC) on online brand advocacy, and second, to examine the mediation effect of customer engagement and the moderation effect of brand familiarity in the relationship between UGC and FGC and online brand advocacy. The differential impact of UGC and FGC on consumer behavior has yet to receive sufficient academic attention among hospitality scholars.

Based on social learning theory, cognitive consistency theory and schema theory, this study established an integrated research framework to explain the relationship between the constructs of the study. This study adopts a scenario-based experimental design in two separate studies within contexts to examine the proposed hypotheses.

The results revealed that UGC is a stronger predictor of online brand advocacy than FGC. A mediation analysis supported that the effect of digital content marketing types on online brand advocacy occurs because of customer engagement. Further, when the brand was familiar, participants showed a higher level of online brand advocacy than when they were exposed to FGC (vs. unfamiliar brand), whereas the effect of familiar and unfamiliar brands on online brand advocacy remains slightly close to each other when the participants were exposed to UGC. Brand familiarity positively enhanced participants’ engagement when they were exposed to UGC. Further, customer engagement is only a significant mediator when the brand is unfamiliar.

This paper presents significant managerial implications for hospitality companies about how they can effectively enhance brand advocacy in the online medium.

This research provides a novel contribution by examining the differential impact of UGC and FGC on online brand advocacy as well as uncovering the underlying mechanism of how and under what conditions user- and firm-generated content promotes online brand advocacy in the hospitality context.

The rapid adoption of social media has resulted in a fundamental shift in the way communication and collaboration take place. While social media is recognized as an important marketing communication tool, it has become overlooked how social media marketing activities (user-generated and firm-generated content) influence brand equity creation in the higher education sector. Drawing from social identity theory, this study identifies how higher education institutions develop customer-based brand equity using social media marketing and social brand engagement, taking cross-comparison between high and low subjective norms.

A survey was used to collect data from a sample of 936 undergraduates of private higher education institutions in Sri Lanka and Vietnam. These data were gathered using purposive sampling, and in testing the hypothesis and structure among the variables, structural equation modeling was used to determine the relationship between the study variables.

For the conceptual framework, the authors found that the structural equation model complies with the empirical data. The structural equation model shows that social brand engagement mediates the relationship between user-generated content, firm-generated content and brand equity. Further, the subjective norms were found to moderate the relationship between user-generated content, firm-generated content and social brand engagement, highlighting that the lower the subjective norms the higher the influence on social brand engagement as students receive low pressure and influence from external parties.

The study was conducted at private higher education institutes in Sri Lanka and Vietnam. Future research could benefit from the perceptions of undergraduates in public higher education institutes. Future researchers could widen the diversity of service settings in the sample and replicate this investigation to discover if the results are consistent across the whole services sector.

The current research contributes to the services marketing and branding literature in the higher education context. The paper presents the crucial elements in building brand equity for higher education institutes to fill the existing gaps in higher education branding literature. The findings of the current study provide strategies to improve the higher education sector.

The aim of this study is to identify the relationship between employee-generated content (EGC) and firm-generated content (FGC) in the form of LinkedIn posts, employer brand perception, and the effect of employer's attractiveness and corporate reputation on this relationship.

This study comprises two phases. In phase 1, the focus was on stimuli selection through an online questionnaire on favourability. In phase 2, for the main study, data were gathered through an online survey from 214 information technology (IT) employees via a survey. Multiple linear regression and mediation analyses were conducted.

The results show that EGC and FGC have a positive influence on employer brand perception, and the relationship is positively mediated by employer attractiveness and corporate reputation. These findings suggest that organizations can strategically use their own as well as employees' LinkedIn accounts, and encourage employee advocacy initiatives to attract new talent, enhance attractiveness and corporate reputation.

The study covers two different categories of content – employer and employee-generated – and examines both content types' influence on employer brand perception. It adds to the body of literature regarding employee branding and paves the way for further research in employee advocacy.

The purpose of this paper is to study consumer engagement as a dynamic, iterative process in the context of TV shows. A theoretical framework involving the central constructs of brand actions, customer engagement behaviors (CEBs), and consumption is proposed. Brand actions of TV shows include advertising and firm-generated content (FGC) on social media. CEBs include volume, sentiment, and richness of user-generated content (UGC) on social media. Consumption comprises live and time-shifted TV viewing.

The authors study 31 new TV shows introduced in 2015. Consistent with the ecosystem framework, a simultaneous system of equations approach is adopted to analyze data from a US Cable TV provider, Kantar Media, and Twitter.

The findings show that advertising efforts initiated by the TV show have a positive effect on time-shifted viewing, but a negative effect on live viewing; tweets posted by the TV show (FGC) have a negative effect on time-shifted viewing, but no effect on live viewing; and negative sentiment from tweets posted by viewers (UGC) reduces time-shifted viewing, but increases live viewing.

Content creators and TV networks are faced with the daunting challenge of retaining their audiences in a media-fragmented world. Whereas most studies on engagement have focused on static firm-customer relationships, this study examines engagement from a dynamic, multi-agent perspective by studying interrelationships among brand actions, CEBs, and consumption over time. Accordingly, this study can help brands to quantify the effectiveness of their engagement efforts in terms of encouraging CEBs and eliciting specific TV consumption behaviors.

The benefits and problems associated with firm-generated content (FGC) as a key driver of sponsorship effectiveness demand more research attention. Accordingly, the purpose of this paper is to consider the effect of content marketing on sponsorship-response favorability in the South African energy drink market.

It is theorized that in an FGC environment, sponsor factors, sponsorship factors and event factors drive sponsorship favorability. This notion is tested using a structural equations model among 18- to 35-year-olds.

The results show acceptable model fit and confirm the usefulness of understanding the effects of content marketing on sponsorship favorability. The authors also offer directions for future research.

The results suggest that FGC which is well-designed, packaged and presented can enhance the views of individuals regarding a sponsor – even if the brand operates in a background position as opposed to the conventional foreground position common in promotional material.

The current study considers content marketing in contexts that have largely been avoided so far, or have only featured on a very limited scale in the literature. This study was conducted in an emerging market, business-to-consumer and sponsorship context for the application of a content marketing strategy.

This study aims to investigate the impact of the source of the content in social media communication and the content distribution intensity on consumer-based brand equity (CBBE) dimensions and how the study will eventually impact purchase intention.

A total of 521 samples were collected using an online survey questionnaire. The respondents' validity was verified using purposive sampling techniques, and the responses were analysed using SmartPLS 3.0.

The authors outlined the fundamental mechanisms of what makes social media communication effective and discovered that emotional-based brand equity dimensions (brand association and brand loyalty) remained significant in influencing purchase intention. However, attribution-based brand equity dimensions (perceived quality, brand trust and brand awareness) are found to have no impact.

This study decomposed social media communication into three different dimensions, and the authors' result showed that the dimensions do not impact CBBE to the same extent. The authors concluded that some CBBE dimensions, which appear to be a rigour determinant of purchase intention over time, have a feeble effect during the pandemic. The existing relationship between the CBBE dimensions with purchase intention might not hold in the pandemic context. The authors suggested that anxiety or pandemic fear could alter the normal consumer buying process and make some well-established relationships not hold. As research indicates that pandemics are reoccurring events, the authors' study contributes to the global effort to dampen some of the pandemic-related effects on business and marketing.

The purpose of this paper is to examine how users on social media view brands with a heritage. Consumers commonly post opinions and accounts of their experiences with brands on social media. Such consumer-generated content may or may not overlap with content desired by brand managers. Drawing from “The medium is the message” paradigm, this study text-mines user narratives on Twitter1 to shed light on the role of social media in shaping public images of brands with heritage through the lens of the stereotype content model.

The study uses a data set of almost 80,000 unique tweets on 12 brands across six categories, compares brands high versus low in heritage and combines dictionary-based content analysis with sentiment analysis.

The results indicate that both user-generated content and sentiment are significantly more positive for brands low rather than high in heritage. Regarding warmth, consumers use significantly more positive words on sociability and fewer negative words on morality for brands low rather than high in heritage. Regarding competence, tweets include more positive words on assertiveness and ability for low-heritage brands. Finally, overall sentiment is more positive for brands low rather than high in heritage.

Important from co-creation and integrated marketing communication perspectives, the findings provide brand managers with actionable insights on how to more effectively use social media.

To the best of the authors’ knowledge, this research is among the first to examine user-generated content in a brand heritage context. It demonstrates that heritage brands, with their longevity and strong links to the past, need to be aware of how contemporary social media can detract from their image.

The purpose ofthis study is to synthesise the findings of existing research on brand-related user-generated content (UGC) in the context of fashion retail and to come up with future research directions.

A systematic literature review of 33 research papers, selected using well-defined criteria, was done. Further, the thematic analysis identified underlying themes and their inter-linkages.

The inter-linkages of 12 emergent themes were showcased in the form of a causal-chain conceptual framework, highlighting antecedents, mediators, moderators and consequences.

Future research involves six directions, and researchers should empirically test out the proposed conceptual framework and take the given research directions forward.

Retailers should understand UGC motivators to launch targeted campaigns to amplify UGC with firm-generated content and increase overall engagement and sales of a brand.

First, this study fills the gap of missing synthesis of existing studies on UGC about fashion retail by analysing the publication distribution, paper types, data collection tools and techniques and data analysis methods. Second, the authors have proposed a causal-chain conceptual framework based upon thematic analysis of the research literature. The emergent themes touch upon three crucial aspects of marketing on enabling technology, consumer behaviour and marketing tactics. Finally, the academic contribution of this study lies in coming up with six vital research agenda for future research.

This study aims to analyze the role of corporate social responsibility (CSR) customer perceptions, customer–company identification and customer trust on customer engagement (CE), paying special attention to the moderating effects of two types of social media communication, firm-generated content and user-generated content.

The study uses a mixed-methods’ approach. First, a single-factor experiment using Twitter posts as stimuli with 227 hotel guests. The structural model was analyzed using SmartPLS 3.2.7. Second, structured in-depth interviews were undertaken with three hotel industry experts to complement the conclusions of the quantitative study.

The results show that when a customer trusts a hotel and identifies with its corporate values, CSR tweets generate CE toward the hotel. CSR communications made by customers reinforce the impact of CSR tweets on customer trust more than CSR tweets posted by hotels. Hotel industry experts give insights to explain these results in different types of hotels.

CSR communications made through Twitter affect customers’ perceptions of a hotel’s CSR activities and customer trust in hotels, especially if they originate from a source external to the company. This result can be of use for hotel managers who have not previously given importance to active CSR communications or the interactivity of social media.

The authors show the moderating effect of user-generated content in the relationship between CSR customer perceptions and customer trust, thus contributing to the research into the effectiveness of social media. They use a mixed-methods’ approach to increase the validity of the results.

Este estudio analiza el papel de las percepciones de RSC, la identificación cliente-empresa (CCI) y la confianza en el engagement del cliente (CE), prestando especial atención al efecto moderador de dos tipos de comunicación en redes sociales: Contenido Generado por la Empresa (FGC) y Contenido Generado por el Usuario (UGC).

Se emplean métodos mixtos: un experimento de un factor usando publicaciones de Twitter como estímulo con 227 huéspedes del hotel, cuyo modelo estructural se analizó con SmartPLS 3.2.7., y 3 entrevistas en profundidad con expertos de la industria hotelera.

Los resultados muestran que, cuando un cliente confía en el hotel y se identifica con sus valores corporativos, los tweets de RSC generan engagement. La comunicación de RSC emitida por usuarios refuerza el impacto de los tweets de RSC en la confianza del cliente más que los tweets publicados por hoteles. Los expertos de la industria hotelera aportan nociones para explicar estos resultados en diferentes tipos de hoteles.

La comunicación de RSC realizada a través de Twitter afecta las percepciones del cliente sobre las actividades de RSC del hotel y la confianza en el mismo, especialmente si proceden de una fuente externa a la empresa. Este resultado puede ser útil para gerentes de hoteles que no se benefician de la comunicación activa de RSC o la interactividad de las redes sociales.

Se valida el efecto moderador del UGC en la relación entre las percepciones de RSC y la confianza de los clientes, contribuyendo así a la investigación sobre la efectividad de las redes sociales. Se emplea un diseño mixto para incrementar la validez de los resultados.

Comunicación de RSC, Engagement del Consumidor, Fuente del mensaje, Contenido generado por la empresa, Contenido generado por el usuario, Twitter, Compromiso con el cliente

Trabajo de investigación