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The purpose of this study is to analyse the brand communication on social media (SM) made by two- and three-starred restaurants and the customer reaction in terms of engagement effects during a crisis. The research highlights the connections between brand communication and engagement dynamics on Instagram by looking for differences in the strategies of two and three-starred restaurants and by highlighting the changes in the background engagement drivers.

Using data collected from 5,666 Instagram posts by 34 Italian Michelin-starred restaurants, the authors analysed the crisis-driven changes in online communication and customer engagement comparing three phases of the COVID-19 pandemic by applying a linear regression model with fixed effects.

Michelin-starred restaurants changed their strategies of brand communication to overcome the effects of the crisis. The findings highlight the importance of SM as a tool to stay in touch with consumers and the pivotal role of customers in engagement, especially during a pandemic.

To the best of the authors’ knowledge, this is among the first studies to investigate the changes in brand communication and the effects on customer engagement during a pandemic, with a focus on Instagram. It contributes to understanding the role of platform and the main drivers of engagement on Instagram, as well as suggesting how managers can improve brand value using SM.

In recent years, tourists have become more interested in discovery the authenticity of a destination. The albergo diffuso (AD) is a response to this new requirement of tourist experience. The AD indeed is based on an accommodation solution with rooms distributed in various buildings across a village. The purpose of this study is to analyze the AD business model supporting the development of this emerging business opportunity in the accommodation industry.

The research is conducted with a multiple case study approach, collecting data from different sources such as semi-structured interviews and archival research. The cases are all located in Italy where the AD was applied for the first time.

The AD business model is based on business idea, value creation and innovation. The business idea is based on the aim to contribute to the renaissance of a village with an emotional link between the entrepreneur and the village. Regarding the value creation, the AD is a form of accommodation that offers more than a hotel experience. The tourist can live like a resident and experiencing local traditions and culture. The innovation is indeed related to the services that are totally different from a traditional hotel.

Considering the previous studies, this research tries to fill the gap concerning the necessity to define the characteristics of the AD business model and to understand the key elements at the base of this hospitality approach.

Covid-19 is a worldwide pandemic disease that changed the government communication to citizens about the health emergency. This study aims to provide in-depth research about regional Italian government communication through social media (SM) and its effects on citizens' engagement.

The study uses a case analysis, focusing on the Italian context. In detail, the authors analyse the more involved Italian regions in Covid-19 pandemic (Lombardy, Veneto, Piedmont, Emilia Romagna and Tuscany) applying the Crisis and Emergency Risk Communication (CERC) model.

The results reveal that SM is a powerful tool for communication during a health emergency and for facilitating the engagement with stakeholders. However, results also highlight a different perception about the timing of the Covid-19 crisis.

Findings suggest a gap between the answer of the public government compared to the citizens' needs that are clear since the first earlier stage of the pandemic event. The engagement level is very high since the first phase of the pandemic event; however, to be adequately developed, it requires specific and timing information that are not always in line with the citizens’ communication needs.

This is the first research that aims to study the citizens' engagement in the Italian regions during the Covid-19 pandemic.

The reputation has a significant impact on business, and it influences by causing an exponential positive or negative effect. There are many different issues that affect the level of reputation, and they are independent from the sector of the activity. If we focus on museums, previous studies mainly highlight the different strategies in order to manage and to increase their reputation. However, each research points out a specific aspect linked to the engagement, the use of digital technologies, or social media platforms. Our research aims to deep investigate the governance and leadership drivers in order to increase positive feeling within stakeholders also by using social media instruments. This research has indeed an exploratory nature as, to the best of our knowledge, no previous research focused on a similar strategy that characterizes for a “stellar” manager applied to a small museum in a small city.

The research uses a case study by observing the effects of selecting a well-known manager of the top ranked museum in the world (Louvre) in order to boost the reputation of a “startup” museum barely known (Pistoia Museums). After having analyzed the main drivers of reputation of the case, the study uses interview with the scientific director of the small museum.

The results contribute to the discussion about the drivers and the different strategies to boost reputation by showing how the management and leadership issues are able to increase it rapidly. However, findings also point out the need to have a clear overview about the digital tools applied to an adequate communication. The results show how the flexibility of a small growing museum can positively affect and boost reputation. This strategy can be applied to other small museums that aim to affirm their identity.

Innovation in rural tourism and hospitality (RT) is a complex process that involves the exchange of knowledge and resources between many actors and the interrelationships between those actors in the business environment. The purpose of this paper is to provide structure to this “knowledge and resource ecosystem” through a thorough systematic review of the extant literature.

The current study uses a time-tested and reproducible systematic literature review process to identify and analyse 79 research papers that have discussed innovation in RT.

Through content analyses, this review identifies critical stakeholders in the innovation ecosystem, as well as the enabling and hindering roles these stakeholders play in innovation. The thematic analysis uncovers three key research foci: stakeholders and their roles, outcomes of innovation and business model innovation. The review also identifies types of innovation and critically analyses the bibliographical research profile. The authors summarise the findings in an RT innovation ecosystem model, which includes the various actors and their knowledge and resource sharing roles within the business environment.

This is one of the first systematic reviews to concentrate on RT innovation and, within that focus, on knowledge and resource networks in particular rather than on innovation in tourism in general, which was the focus of prior reviews. The authors encourage cross-pollination of ideas by introducing theories from the strategic management, innovation, knowledge management and business model innovation literature wherever appropriate. To consolidate and present the findings on the innovation process’s antecedents and outcomes, the authors present an ecosystem of innovation within the RT framework.

The study focuses on the core issue faced by bankers on how to retain existing customers who have encountered an e-service failure and who are skeptical about the justice received through the service recovery process. It further endeavors to create an internal bench-marking model for assessing e-service recovery satisfaction.

By the experimental study, the authors confirm a measurement model using structural equation modeling for examining the impact of perceived service recovery quality antecedents on e-service recovery satisfaction moderated by perceived justice. In total, responses from 399 e-banking customers, who had experienced a e-service failure, were recorded using a 5-point Likert scale with a structured questionnaire.

The perceived e-service recovery quality antecedents identified were perceived information quality, digital commitment, perceived employee performance and perceived service orientation of organization. The empirical results revealed that “perceived information quality” was the most significant predictor of e-service recovery satisfaction. Perceived justice moderates the relation between perceived service recovery quality and e-service recovery satisfaction.

The research does not contemplate the e-service recovery satisfaction of customers who have undergone multiple service failures.

The conclusions of the investigation suggest that the four antecedents of perceived e-service recovery quality model are suitable instruments for creating benchmarks for e-service recovery satisfaction for banks, and that perceived justice moderates the relationship between e-service recovery quality and e-service recovery satisfaction. Therefore, policymakers in banks can use this model to assess the e-service recovery quality, and they ought to enhance the perceived justice feel of the customers who have experienced a service failure.

There remains scarcity of empirical research focusing on perceived information quality and digital commitment as antecedents of perceived e-service recovery quality and its effect on e-service recovery satisfaction in the banking context. Furthermore, similar studies within the banking sector have rarely considered perceived justice as a moderator variable. Hence, this paper attempts to accomplish the research gap by empirically testing the e-service recovery satisfaction level of a large sample of the population toward four antecedents of perceived e-service recovery quality rendered by banks and create a benchmark model to ascertain e-service recovery satisfaction.