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The purpose of this paper is to examine factors affecting the engagement metrics of the hotel Facebook page. Such factors include time-of-day, day-of-week, age, gender and distance between the hotel and users’ origin of residence. Another purpose is to assess the impact of Facebook engagement on electronic word-of-mouth (eWOM), to better understand the importance of the engagement metrics within the hotel Facebook context.

This study uses secondary data from the Facebook page of a 147-room hotel in Northeast America. A total of 181 observations reflecting primary Facebook metrics are adopted via Facebook Insights between January 2014 and June 2014.

The number of daily-engaged users positively affects the number of daily people talking about the page (eWOM). Moreover, the number of engaged users differs significantly by the external factors (time-of-day, day-of-week, age, gender and distance).

Hotel Facebook developers should post the most important promotions on Monday afternoon, targeting females aged between 25 and 34 years living within 50 miles of the hotel. Posting on hotel Facebook a few hours before “traffic” to avoid competition and gain visibility is important. Marketers should focus on giving feedback during peak times.

This empirical study extends prior studies on social media metrics to the effects of external factors on the engagement metrics within the hotel Facebook context. Increasing the number of engaged users improves the effectiveness of eWOM for a hotel, which lacks empirical evidence.

The purpose of this paper is to provide an initial assessment of corporate Facebook use by Spanish hotel chains. Two aspects are considered: communication activity and stakeholder engagement through this social media platform.

Based on a content analysis, data on 109 Spanish hotel chains are collected to describe current practices and identify significant relationships among different variables.

The main findings include that their Facebook presence, audiences and levels of activity are positively related to hotel size, while stakeholder engagement is higher in small hotel chains and seems to be influenced by content and media types.

This research contributes to previous research by providing an assessment of corporate Facebook in the hospitality industry (Spanish hotel chains). The paper considers two aspects: communication activity and stakeholder engagement through this social media platform.

The purpose of this study is to investigate how hotels practice corporate social responsibility (CSR) communication through social media, including which content type and media type receive the highest level of engagement. Two major aspects are considered, namely, CSR communication activity and stakeholder engagement.

The analysis is conducted for Forbes four-star to five-star hotels in Hong Kong. Facebook data are extracted from the property pages of the sample hotels by Netvizz, which is a Facebook data extraction application. The data analysis includes three steps and combines qualitative and quantitative approaches.

The results indicate that the type of information has a significant influence on engagement and has even more of an affect than the message strategy. Although the number of CSR-related posts is significantly lower than marketing-oriented posts, they achieve a comparable level of popularity and engagement. Posts encouraging CSR practices show the highest level of engagement among CSR-related posts. In terms of media and content types, video achieves the highest engagement, and posts related to discounts achieve the highest engagement.

This study fills the gap in the current literature by conducting a comparison between marketing and CSR communication strategies on social media. It also provides insights on how to draft more effective CSR messages.

Despite wide acknowledgment in research of the benefits of customer engagement to firms, the customer engagement process and how it leads to positive marketing outcomes remains underexplored. Extending existing research, this paper aims to develop and test a conceptual model that outlines the effect of passive and active customer behavioral engagement on customer loyalty and the role of customer involvement in the process, as both an antecedent and a moderator.

Data collected from 362 millennials in Johannesburg, South Africa through a scenario-based experiment was submitted to a partial least square structural equation modeling and moderated-mediation analyses after examining the manipulation effectiveness of the experimental scenarios. The unit of analyses is hotel patrons.

The findings include customer involvement is a significant predictor of passive and active customer behavioral engagement both of which consequently influence customer loyalty; customer involvement moderates the effect of passive engagement on active engagement; and not only is passive engagement indirectly related to customer loyalty through active engagement, the indirect relationship is the strongest at the highest level of customer involvement.

The current study provides notable insights into the relationship between customer involvement, customer behavioral engagement and customer loyalty. However, there is need for further studies to validate our model across different brand categories and different social media platforms as well as in offline settings with a more diverse sample because the scope of this study is limited to millennials that use Facebook brand communities.

This study contributes to the customer engagement literature by rationalizing and demonstrating the importance of customer involvement as a precursor of the behavioral engagement process (comprising the passive and the active components) and loyalty among hotel patrons.

The purpose of this study is to develop a typology of social media messages to compare the effectiveness of different message strategies.

In total, 1,837 messages from 12 hotel brand Facebook pages were content-analyzed. Applying both correspondence analysis and multivariate analysis of variance, the study compared message strategy across hotel-scale levels and explored the effectiveness of different message strategies.

A typology of four-type message format and six-type message content was developed. The picture message was the best message format. Product, brand and involvement messages were shown to be more effective than information, reward and promotion messages. Promotion message was the least effective message content type.

The major limitation of this study is the generalizability owing to the sample selection process. There is also the limitation on exclusion of control variables, selection of the three effectiveness measures and evolving social media technology.

The typology of Facebook message strategy developed in the study provided guidelines for hotel marketers to create messages on Facebook pages and track effectiveness. Hotels should also take full advantage of the picture format and product, brand and involvement contents.

This study created a new typology of social media message strategy consisting of two dimensions. It also provided empirical evidence to support the application of message strategy theory in the hotel social media marketing area.

This paper aims to debate the technology-driven transformation of customer relationship management (CRM) into social CRM, which entails a shift from a transactional and automational solution to a customer experience management philosophy, reflecting high levels of customer empowerment.

A literature review provides a critical analysis of the concept, tenets, aims and implementation approaches of social CRM. Arguments are summarised by developing a process-based framework for implementing social CRM.

By adopting a value co-creation approach that recognises the technology-fostered customer empowerment, the social CRM highlights the need to immigrate from relationship management to relationship stewardship. In this vein, social CRM implementation should support and foster dialogue facilitation and customer engagement in co-creating customer experiences. To achieve these, five approaches for implementing social CRM are proposed: collecting, analysing and interpreting customer insight; monitoring and improving the performance of CRM; developing holistic and seamless personalised customer experiences; gamifying CRM and loyalty programmes; and nurturing community relationship management.

The five approaches to social CRM implementation are identified and validated based on current industry practices, theoretical arguments and anecdotal evidence of professionals’ perceptions about their outcomes. Future research is required to collect hard evidence showing the business and customer impacts of these approaches.

Social CRM immigrates relationship management from a transactional to a customer experience mindset that treats customers as co-creators of value and demands the tourism and hospitality firms to exploit the affordances of information and communication technologies to collect and analyse customer data for better understanding the customer; develop customer touch points that do not only aim to sell but also primarily aim to enhance the customer interactions and experiences; consider and treat the customers and the customer communities as co-creators, brand ambassadors and stewards of relations; and motivate and enable customer participation into value co-creation processes for developing customer experiences and building relationships.

Research in social CRM is emerging, but it mainly focusses on defining its scope and identifying the functionality and adoption of social CRM technology. The paper contributes to the literature by proposing five specific approaches and a process framework for implementing social CRM. Various directions for future research are also provided.

The main aim of this paper is to build an approach to analyze the tourist content posted on social media. The approach incorporates information extraction, cleaning, data processing, descriptive and content analysis and can be used on different social media platforms such as Instagram, Facebook, etc. This work proposes an approach to social media analytics in traveler-generated content (TGC), and the authors use Twitter to apply this study and examine data about the city and the province of Granada.

In order to identify what people are talking and posting on social media about places, events, restaurants, hotels, etc. the authors propose the following approach for data collection, cleaning and data analysis. The authors first identify the main keywords for the place of study. A descriptive analysis is subsequently performed, and this includes post metrics with geo-tagged analysis and user metrics, retweets and likes, comments, videos, photos and followers. The text is then cleaned. Finally, content analysis is conducted, and this includes word frequency calculation, sentiment and emotion detection and word clouds. Topic modeling was also performed with latent Dirichlet association (LDA).

The authors used the framework to collect 262,859 tweets about Granada. The most important hashtags are #Alhambra and #SierraNevada, and the most prolific user is @AlhambraCultura. The approach uses a seasonal context, and the posted tweets are divided into two periods (spring–summer and autumn–winter). Word frequency was calculated and again Granada, Alhambra are the most frequent words in both periods in English and Spanish. The topic models show the subjects that are mentioned in both languages, and although there are certain small differences in terms of language and season, the Alhambra, Sierra Nevada and gastronomy stand out as the most important topics.

Extremely difficult to identify sarcasm, posts may be ambiguous, users may use both Spanish and English words in their tweets and tweets may contain spelling mistakes, colloquialisms or even abbreviations. Multilingualism represents also an important limitation since it is not clear how tweets written in different languages should be processed. The size of the data set is also an important factor since the greater the amount of data, the better the results. One of the largest limitations is the small number of geo-tagged tweets as geo-tagging would provide information about the place where the tweet was posted and opinions of it.

This study proposes an interesting way to analyze social media data, bridging tourism and social media literature in the data analysis context and contributes to discover patterns and features of the tourism destination through social media. The approach used provides the prospective traveler with an overview of the most popular places and the major posters for a particular tourist destination. From a business perspective, it informs managers of the most influential users, and the information obtained can be extremely useful for managing their tourism products in that region.

Built upon customer engagement marketing theory and uses and gratification theory, this study examines the link between individual social media marketing (SMM) performance indicators and restaurant sales performance at the firm level. Moreover, the study investigates the moderating effect of advertising expenditure on this proposed relationship.

Random effect regression models were developed in Stata to examine the associations between SMM performance indicators, advertising expenditure, and restaurant firm revenue. Twelve years of SMM data from brands' Facebook pages were collected with a web scraper built in Python. Natural language processing was used to analyze the sentiment of user-generated content (UGC).

The results suggest that restaurant annual sales revenue increases as the volume of brand posts, “like”s, “share”s and positive comments on restaurants' Facebook pages increase. However, the total number of comments and the number of negative comments show non-significant associations with revenue. Firm advertising expenditure negatively moderates the relationships between sales revenue and the number of “like”s, “share”s, total comments and positive comments.

Restaurants benefit from making frequent posts on SNSs. Promotions that motivate online users to “like”, share, and comment on brand posts should be implemented. Firms with limited advertising budgets are encouraged to actively create buzz on SNSs due to evidenced stronger effects of UGC on sales performance than large advertisers.

This research bridges the gap by studying the effects of individual SMM performance indicators on restaurant financial outcomes. The findings support the effectiveness of SMM; and, for the first time, demonstrate that SMM could generate a more profound impact for firms with low advertising budgets.

This study aims to propose a set of metrics in order to assess reactivity, dialogic communication and stakeholder engagement (popularity, commitment and virality): stakeholders' mood and social legitimacy on corporate Facebook pages. These metrics can offer a better understanding and measurability of this social media/social network/online communication management tool.

Three theories (dialogic, stakeholders and legitimacy) were considered in the development of these metrics. Empirical evidence was collected from a sample of 314 European companies. Then ten active companies were used to validate the proposed metrics on Facebook.

The constructed set of metrics was found to be valid and efficiently usable according to the principles of the applied theories. Moreover all the proposed metrics could be adapted for such sites as Google+.

Limitations can only be identified within the validation process as the metrics were only applied to ten representative companies from the Eurozone.

The proposed metrics will help users, marketing/PR/communication professionals and company managers to measure their and their competitors' popularity, commitment, virality (metrics which reflect stakeholder engagement), and the mood of stakeholders, and use content analysis in order to measure social legitimacy via CSR information disclosure on Facebook. Thus the online reputation of a company can be practically measured.

This paper is the first proposing metrics to assess stakeholder engagement and social legitimacy on a corporate Facebook page that can be used in both academic and professional circles to a gain a better understanding of corporate online communication via Facebook.