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The aim of this paper, which analyses the use of sports celebrities in advertising discourse, is to understand the strategic use to which brands put them in their commercial and corporate communication on Instagram.

To this end, a content analysis was performed on the Instagram posts of the brands Santander, Movistar, Red Bull and Iberdrola during the period 2021-2022.

The results indicate that, strategically speaking, these brands use the celebrity endorsement strategy to pursue emotional objectives and to adopt a position depending on the type of user. Likewise, these findings show that they single out uniqueness as the principal celebrity characteristic, while also mainly leveraging sports values, especially competence. These values represented by sports celebrities are markedly social in nature, which implies that they enjoy a degree of public recognition that is transferred to the brand to which they lend their image.

The conclusions connect celebrity endorsers with strategic branding issues and aspects of sports.

An empirical approach is followed here to study the representation of sports celebrities in the advertising of well-known brands linked to the sports world.

The current study aims to examine the joint impact of consumers' need for status (NFS), celebrity's star power and consumer-celebrity image match on consumers' attitudes toward the celebrity endorsement.

A factorial design was employed to test the research model. Consumer-celebrity image match was manipulated, and consumers' NFS and celebrity's star power was captured using existing measurement scales. A total of 365 responses were collected via Qualtrics. Hayes's (2013) PROCESS procedure was used to analyze the data and test hypotheses.

Results indicate that consumers with high (vs low) NFS have more favorable attitudes toward the endorsed brand. More importantly, consumers high in NFS, in an endorsement where celebrity-consumer image matches, have more favorable attitudes toward the brand endorsed by a celebrity with more (vs less) star power. In contrast, in an endorsement where celebrity-consumer image mismatches, they react the same regardless of the endorser's star power.

This study offers suggestions to hospitality marketing professionals in strategically using celebrity endorsers in their marketing campaigns and strategies that allows firms to further formulate positive and enduring brand images while encouraging favorable consumer behaviors.

While most hospitality studies have focused on the traits of celebrity endorsers, little attention has been paid to the impact of consumers' characteristics on celebrity endorsement. This study advances the growing literature on hospitality celebrity endorsement by providing empirical evidence to delineate the relationship among celebrities, endorsed brands and consumers.

Consumers increasingly expect brands to have a social purpose. Yet, guidelines on how to effectively engage in conscientious purpose-driven branding are lacking. This study aims to better understand what the key drivers of a successful conscientious purpose-driven branding strategy are and what is its impact on key brand outcomes.

Data was gathered using a self-administered survey, answered by 670 young adults belonging to generations Y and Z. The study integrates in a single moderated-mediation model, tested using partial least squares structural equation modelling, the joint effects of cause–brand–consumer congruences, cause-brand authenticity and brand image, on consumers’ intention to purchase and recommend the brand.

Consumer-brand congruence mediates the path from cause-brand congruence and authenticity to brand image, which in turn impacts purchase and recommendation intentions, with authenticity playing a dominant role. Moreover, for consumers highly congruent with the cause/purpose, the direct effect of cause-brand congruence on brand image becomes non-significant and only works through consumer-brand congruence.

Theoretically, this study contributes to a better understanding of how and when conscientious purpose-driven branding can be effective. Its findings further advance prior research, by providing an alternative path anchored on cause-brand authenticity to explain positive effects of conscientious purpose-driven marketing on brand outcomes. Moreover, it challenges prior assumptions regarding the impact of consumer-cause congruence on the effectiveness of these strategies. Finally, it highlights that cause-consumer and brand-consumer congruencies also play a role, offering an integrated, triadic view of conscientious purpose-driven branding strategies. Managerially, it provides insights to brand managers wishing to successfully implement these strategies and better understand the role of brands as “purpose-driven entities”.

The study uses the meaning transfer model to integrate celebrity advertising and branding under the broad paradigm of celebrity–brand communication. Specifically, the paper aims to examine the influence of celebrity attributes (authenticity and identification) on brand advocacy and purchase intention through brand personality appeal and brand identification.

The study adopts two scenario-based research designs (involving nonfictitious and fictitious celebrities) for a cross-sectional structural path analysis.

Celebrity authenticity, celebrity identification and celebrity–brand congruency significantly influence brand advocacy and purchase intention, with brand personality appeal and brand identification emerging as effective mediators.

The study highlights how vital brand personality appeal and brand identification are in transferring positive perceptions about a celebrity endorser into brand advocacy and purchase intention. These results will allow marketers to realize the relative influence of celebrity attributes on the partnered brand.

The purpose of this study is to use the grounded theory to summarize the types of celebrity persona and to construct a theoretical model for celebrity persona on consumer purchase intention. Based on the study results, it provides better suggestions for merchants and live streamers and is an expansion of previous research on live-streaming e-commerce.

The grounded theory is recognized as the most scientific qualitative research method and is the ideal explorative method for generating theory. First, the participants were interviewed, and interview data were collected. Then the interview data were organized and analyzed. Finally, this paper summarizes the types of celebrity persona and constructes a theoretical model framework of celebrity persona on consumers' purchase intention.

The results show that the celebrity live streamer persona can be divided into two types: personalized persona and professional persona. Through emotional attachment, the celebrity's persona affects the consumer's purchase intentions. As well as, product type plays a moderating role between celebrity persona and consumer purchase intentions.

The contribution of this research is to start from the celebrity persona, link the celebrity persona with the consumer purchase intentions and expand the research scope of the celebrity persona. It opens the “black box” of the heterogeneity of celebrity live streamers' characteristics on consumer purchase intentions.

This research delved into the intricate dynamics between celebrity endorsements and consumer behavior focusing on eco-friendly wine product. This study aims to understand the relationship between attitudes toward the celebrity endorser (CATT), perception of wine as eco-friendly (PECO), overall positive attitude toward the product (PATT) and the intention to purchase (PINT).

The present study relies on a large sample of 478 US citizens. Mediation moderation analysis is adopted for data analysis.

The findings revealed a full mediation effect where the influence of CATT on PINT is primarily through PECO and PATT. This suggests that the celebrity's endorsement indirectly affects purchase intention by first influencing perceptions of the product's eco-friendliness and the overall product attitude. Notably, perceiving wine as eco-friendly leads to a favorable product attitude, subsequently enhancing purchase intentions. While CATT significantly impacts both PECO and PATT, its effect is more potent on PATT, emphasizing that the celebrity's overall image might align more closely with the general product attitude than specific attributes like eco-friendliness.

Recognizing the complex landscape of the wine market, the research emphasizes the necessity for comprehensive marketing strategies that consider both the direct and mediated impacts of celebrity endorsements. The findings offer a foundational framework for understanding the nuanced interplay of celebrity endorsement, product perception and purchase intention in the context of the wine market.

In recent years, negative spokesperson incidents have raised significant concerns in academia and industry. While several studies have addressed celebrity endorser scandals, comprehensive analyses of current knowledge are lacking. Therefore, this study systematically reviewed the related literature to better understand trends and suggest future research directions for advancing this field.

This study employs the theory–context–characteristics–methodology (TCCM) framework to examine 76 articles on celebrity endorser scandals.

Utilizing the TCCM framework, this study presents a comprehensive research framework, revealing that (1) the celebrity endorser scandal effect primarily includes associative learning, attribution of responsibility, and moral reasoning; (2) entertainment celebrities and athletes have received significant research attention; (3) both individual- and relationship-level characteristics serve as crucial moderators, with focal brand and related brand being the primary outcome variables. Additionally, this study outlines enterprise response strategies, encompassing the reformation of existing spokesperson relationships and the establishment of future spokesperson connections; and (4) quantitative approaches dominate the field.

This study integrates and expands existing research on celebrity endorser scandals while proposing future research opportunities to advance the field.

Source factors have long been a key construct in studies of word-of-mouth influence, but particularly for the digital context of electronic word-of-mouth (eWOM), source trustworthiness and parasocial relationships are worth a considerable focus. This study pays close attention to not only the effects source trustworthiness and parasocial relationships exert on eWOM influence but also the antecedents driving them. This study additionally considers the moderating role of brand credibility in the relationships between the two key constructs and eWOM influence. Confirmatory factor analysis (CFA) was conducted to assess the reliability and validity of the constructs.

A quantitative survey was sent to university students in Ho Chi Minh City, Vietnam, to collect 766 responses, which were then analyzed using an SEM approach. The sampling strategy was based on convenience and snowball sampling techniques to ensure a diverse representation of the student population. Respondents were asked to rate their perceptions of source trustworthiness, parasocial relationships, brand credibility, and eWOM influence regarding social media influencers they follow. The collected data were then analyzed using an SEM approach, utilizing software such as AMOS to validate the measurement model and test the proposed structural relationships.

The results confirm the strong impact of source trustworthiness and parasocial relationships on eWOM influence and recognize source authenticity to be the most powerful driver behind the two. Additionally, the findings suggest that brand credibility can positively moderate how source trustworthiness affects eWOM influence, with interaction effects examined through multi-group analysis.

Relevant implications for researchers and marketing practitioners are discussed, emphasizing the strategic selection of eWOM sources and the cultivation of brand credibility to enhance consumer engagement.

Self-presentation is an important aspect of influencer marketing. Drawing upon self-presentation theory and source credibility theory, this study aimed to unravel how the self-presentation strategies of a layperson, opinion leadership and micro-celebrity influence source credibility (i.e. trustworthiness, expertise, physical attractiveness and social attractiveness) and how source credibility, in turn, affects brand responses.

An online experiment among female participants (N = 229) was conducted. Participants were shown a sponsored blog in which the influencer presented herself as either a layperson, an opinion leader or a micro-celebrity.

The study demonstrated that the presentation strategy of a layperson was more persuasive than a micro-celebrity presentation because of higher levels of (1) trust and (2) social attractiveness. In addition, opinion leaders were perceived as having more expertise than laypeople and, therefore, positively enhanced brand responses.

The current findings provide relevant insights into the theoretical mechanisms (i.e. expertise, trustworthiness and social attractiveness) that explain the effects of self-presentation strategies on brand responses.

Our findings imply that credibility perceptions determine the persuasiveness of the SMI. This study showed that layperson and opinion leadership self-presentation strategies are relatively more persuasive.

This study is the first to show that influencers’ self-presentation strategies determine how people respond to the brands that influencers promote. In addition, we show that these effects are explained by the influencers’ trust, social attractiveness and expertise.

By introducing Stacking algorithm to solve the underfitting problem caused by insufficient data in traditional machine learning, this paper provides a new solution to the cold start problem of entrepreneurial borrowing risk control.

The authors introduce semi-supervised learning and integrated learning into the field of migration learning, and innovatively propose the Stacking model migration learning, which can independently train models on entrepreneurial borrowing credit data, and then use the migration strategy itself as the learning object, and use the Stacking algorithm to combine the prediction results of the source domain model and the target domain model.

The effectiveness of the two migration learning models is evaluated with real data from an entrepreneurial borrowing. The algorithmic performance of the Stacking-based model migration learning is further improved compared to the benchmark model without migration learning techniques, with the model area under curve value rising to 0.8. Comparing the two migration learning models reveals that the model-based migration learning approach performs better. The reason for this is that the sample-based migration learning approach only eliminates the noisy samples that are relatively less similar to the entrepreneurial borrowing data. However, the calculation of similarity and the weighing of similarity are subjective, and there is no unified judgment standard and operation method, so there is no guarantee that the retained traditional credit samples have the same sample distribution and feature structure as the entrepreneurial borrowing data.

From a practical standpoint, on the one hand, it provides a new solution to the cold start problem of entrepreneurial borrowing risk control. The small number of labeled high-quality samples cannot support the learning and deployment of big data risk control models, which is the cold start problem of the entrepreneurial borrowing risk control system. By extending the training sample set with auxiliary domain data through suitable migration learning methods, the prediction performance of the model can be improved to a certain extent and more generalized laws can be learned.

This paper introduces the thought method of migration learning to the entrepreneurial borrowing scenario, provides a new solution to the cold start problem of the entrepreneurial borrowing risk control system and verifies the feasibility and effectiveness of the migration learning method applied in the risk control field through empirical data.