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The purpose of this paper is to present knowledge acquired through examining three cruise lines’ social media strategies over a three-year period, analyzing the network structures involved and demonstrating the value of the STAR (storytelling, triggers, amusement and reaction) model for enhancing social media activity.

This study gathered data from three cruise lines’ official websites and Facebook and Twitter accounts, examining variables such as internet presence, engagement and fans/followers. Furthermore, the work also addresses several issues that researchers encounter when using the STAR model.

Digital activity was found to vary significantly between the three cruise lines’ websites and Facebook and Twitter accounts, with the companies adopting different approaches and obtaining different results. Each company tended to have its own base of fans and followers, who shared a common language, reflected in the hashtags they used. The results show that cruise lines wishing to develop a content-oriented strategy that maximizes engagement in social media should share rich multimedia content that supports storytelling values and can be used on multiple platforms.

This work can be of interest to practitioners aiming to use a comparison and assessment tool for their digital activity. It could also assist future researchers focusing on cruise line activity, as few researchers have analyzed the online content strategies of cruise lines, particularly on Facebook and Twitter.

The digital relationship between brand and users, and brand and endorsers has been analyzed from different angles. The purpose of this paper is to investigate how these three elements co-create online the brand personality of the firm, through user-generated content.

This study gathered data from the hotels’ websites, Facebook, Twitter and TripAdvisor accounts, examining the content posted by the hotel, by tourists and by the celebrity endorsing some of the hotels. To pursue the aims, the brand personality dimensions communicated online were assessed through content analysis for the global presence and for each social network by user typology to establish the alignment of brand personality traits communicated.

Digital communication was found to vary significantly between the hotels and tourists in different social networks. The amount of content created by tourists is significantly higher than the ones produced by the hotel. The sincerity dimension of brand personality was confirmed in both communications. However, tourists’ brand image impacts brand personality differently than the hotels themselves. Furthermore, an analysis of the influence of customers on social networks indicates that celebrity personality traits seem to impact on the image of a hotel brand.

This research can be used to help brand managers to understand better the digital co-branding with clients and celebrity, as well as to identify gaps in their brand personality strategy. It could also assist future researchers focusing on digital celebrity endorsement since few researchers have analyzed digital communication in different social networks.

O relacionamento das marcas com os consumidores e das marcas com os endorsers tem sido analisado por diversos prismas. O objectivo deste trabalho é analisar como estes três elementos se relacionam e co-criam a personalidade de marca da empresa, através dos conteúdos digitais criados por estes.

Neste trabalho foram recolhidos os conteúdos e comentários com origem na empresa, nos clientes e nos endorsers existentes nas páginas web oficiais dos hotéis, bem como no Facebook, Twitter e TripAdvisor. Através da análise de conteúdo foram determinadas as dimensões da personalidade de marca existentes em cada uma das redes e para cada tipo de utilizador, com vista a determinar a consistência e o alinhamento da comunicação de marca existente.

Os resultados desta investigação apontam para a existência de diferenças significativas entre a comunicação com origem nos hotéis e a originada pelos turistas, nas redes sociais: os turistas criam mais conteúdos que os hotéis; e as dimensões da personalidade de marca comunicadas não são coincidentes, embora a dimensão sinceridade tenha sido encontrada nos conteúdos de ambos. As evidências sugerem que os traços de personalidade do endorser tendem a influenciar a personalidade da marca.

Este trabalho ajuda os gestores a se consciencializarem da importância da co-criação da imagem de marca que ocorre no domínio digital, bem como permite que identifiquem as lacunas existentes na comunicação da personalidade de marca das suas empresas. Este trabalho pode ser útil também para os investigadores que queiram analisar o papel das celebridades na comunicação digital.

This paper aims to determine whether the implementation of knowledge management (KM) is linked to e‐business performance and to identify the nature of the relationship existing in the different components of knowledge‐sharing and application and internet‐based KM.

This paper establishes a new model of the practices and results of the KM which has been tested in European companies. For that purpose, a structural equation modelling analysis was used.

The results show that product innovation and external employees’ access to databases have a strong positive effect on the maximization of internet‐based KM and that internet‐based KM has also a positive impact on e‐business performance.

Limitations of this study include the need for more research into the KM cycle. This paper contributes to the research on this topic with new evidence in a broad sample.

These results point to KM's usefulness in improving every day e‐business processes. Therefore managers should be aware of these benefits.

The present study advances knowledge on the nature of the relative importance of different components of internet‐based KM as drivers of e‐business performance.

The main goal of this study is to employ unsupervised (lexicon-based) learning approaches to identify readers' emotional dimensions and thumbs-up empathy reactions to reviews of online travel agency apps based on appraisal and stimulus–organism–response (SOR) theories.

Using the Google Play Scraper, we gathered a total of 402,431 reviews from the Google Play Store for two travel agency apps, Tripadvisor and Booking.com. Following the filtering and cleaning of user reviews, we used lexicon-based unsupervised machine learning algorithms to investigate the associations between various emotional dimensions of reviews and review readers' thumbs-up reactions.

The study's findings reveal that the sentiment of different sorts of reviews has a substantial influence on review readers' emotional experiences, causing them to give the app a thumbs up review. Furthermore, readers' thumbs-up responses to the text reviews differed depending on the eight emotional aspects of the reviews.

The results of this research can be applied in the development of online travel agency apps. The findings suggest that app developers can enhance users' emotional experiences by considering the sentiment and emotional aspects of reviews in their design and implementation. Additionally, the results can be used by travel agencies to improve their online reputation and attract more customers by providing a positive user experience.

The findings of this research have the potential to have a significant impact on society by providing insights into the emotional experiences of users when they engage with online travel agency apps. The study highlights the importance of considering the emotional aspect of user reviews, which can help app developers to create more user-friendly and empathetic products.

The current study is the first to evaluate the impact of users' thumbs-up empathetic reactions on user evaluations of online travel agency applications using unsupervised (lexicon-based) learning methodologies.