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Online reputation manager has become increasingly important in tourism industry. Managers, regardless of working for a hospitality structure or a tourism destination, are paying more and more attention in respect of the importance of reputational levels. Online reputation, in fact, originates in visitor's user-generated contents (UGCs) but reverberates on the whole web, on successive visitors' attitude and behavior, and on managed organization performances. How to manage online reputation in tourism and destination management anyway mostly stayed an anecdotal topic for many years. While best practices exist, indeed, literature has frequently neglected their systematization. Building on this need, this book will try to improve and organize the existing body of knowledge on this topic to help future hotel and destination managers to better deal with the mounting environmental complexity.

Interest in the Electronic Word-of-Mouth (eWOM) in connection with tourism is constantly growing not only among consumers but also among theoreticians. Therefore, the objective of this chapter is to provide an overview of studies that focus on eWOM in the tourism sector using the snowball method. The article is based on a review of the literature of 60 studies that focus not only on consumer behavior in tourism and the impact of eWOM on tourism supply but also on the impact of hotel managers' responses to other consumer behavior and tourism companies. The results of the studies show that eWOM has a significant impact not only on consumer behavior but also on tourism supply. Manager responses can also strongly affect other consumer behavior in decision-making. When eWOM is distributed, consumers are influenced by their emotions, motives, and also by the websites to which they have decided to contribute. The chapter proposes further research areas for different authors.

The objective of the research is to explore the importance of online reputation management through some core concepts: technologies and entrepreneurship. Specifically, the research will explore how in a tourism ecosystem context, it is strategically relevant through the use of Big Data Analytics (BDA) to manage and improve online reputation management. An emphasis will also be placed on the concept of entrepreneurship and dynamic capabilities. Finally, the research also explores empowerment issue to shed some considerations on the development of tourists' online reviews.

The consequences of a media-shaped perceptual destination attribute during the pandemic on a commitment to embrace and thread trip intent are explored in this research. The influence of four elements related to the choice of destination, involving reliability, strategic planning, health service, and friendly relationship on tourism performance expectancy are chosen depending on visitors' previous experience of a certain place, using the notion of psychological tourist satisfaction and an interactive personality questionnaire. Industry 4.0 paradigms are either viewed with skepticism or eagerness by organizations. Organizations that develop different innovative strategies to leverage the digital world doing and offering greater opportunity will certainly drive the evolution in tourism. Any revolutionary technology has the potential to benefit or harm enterprises. An Industry “4.0” data type depicts the technological transformation occurring inside a given business, from Industrial Revolution 4.0 to dealing with customers 4.0. However, one instance is Tourism 4.0. Social networking is not unique. Hospitality organizations, especially, must be acutely conscious of the customer's power as a result of social networking sites. The increase in security concerns by preventing the rate of cybercrime and by enhancing the secure money transactions in online reputation management consolidates the socioeconomic relationship. The comparative study has been propagated in relevance to the pre- and post-pandemic effects on the tourism industry.

The aim of the chapter is to examine the importance and use of reviews in the marketing communication of selected spa tourism enterprises on the Internet. The subject of the research are reviews as an important part of the online reputation of spa tourism enterprises and the object of the research is marketing communication on the Internet. The chapter focuses on spas located in Slovakia. The primary sources are the results of a quantitative survey conducted by standardized observation of the websites and profiles of all spa tourism enterprises in Slovakia under study on the social networks Facebook, Instagram, and YouTube based on predetermined criteria. At the same time, the results of the primary survey are conducted by the method of questioning using the technique of structured interviews. The chapter uses theoretical research methods such as analysis and synthesis, induction and deduction, and generalization. The chapter presents the results of qualitative research using the Sankey diagram, processed by Atlas.ti software. The results of the research point to the fact that spa tourism enterprises in Slovakia use their own websites and social networks to communicate in the online environment, where they monitor both positive and negative reviews. However, they often do not work with reviews systematically enough and do not make use of standardized procedures and available technologies that would enable them to manage their online reputation more effectively.

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.

The chapter proposes to investigate online reputation of hospitality brands and its measurements. Brand reputation is generally defined as an overall appraisal of a company by its stakeholders, which is the result of the company's past actions and predictions about the company's future (Ferguson, Deephouse, & Ferguson, 2000). Being viewed as the opinion shared among a group of stakeholders (Dowling, 2008), it plays an important role in the tourism industry. With the progress of Information Communication Technologies (ICTs), reviews and user-generated contents of destinations and of hospitality companies together with the related emerging brand reputation can influence consumers' behaviors and choices. Brand reputation analysis could be more useful in the hospitality brand management when integrated with brand image and brand identity analysis, mainly because in tourism businesses and destinations, brands are typically affected by an inherent fragility determined by the service nature of products (Casarin, 1996). According to Biel (1991), the meanings that consumers assign to a brand are synthesized into brand associations formed by the components perceived to underlie the brand's image. As well as brand reputation, strong, positive and unique associations reinforce a brand and increase its equity that requires significant internal brand identity efforts, which should create a corresponding brand image through integration in overall marketing programmes (Keller, 2003). It makes sense to develop an analytical research approach that compares online brand reputation (OBR) with brand association matching as a measure of the alignment between brand identity and brand image in hospitality companies. This comparative analysis emerging from brand reputation, brand image and brand identity analysis can reveal divergent situations (i.e., high brand reputation and low brand association matching) and orient brand managers in reviewing online brand communication. Brand reputation and brand image analysis will be contextualized in an online community as a social setting that is considered to be a new type of market (Muniz & O'Guinn, 2001). We focus on hospitality online communities populated by consumers and other actors such as influencers and bloggers: their brand perception could be separately compared with brand identity that we will extract from company communications including presentational information and brand-related press releases found on websites, nonfinancial narrative from annual reports, and interviews with managers published in mainstream media sources. In our analysis we will focalize on a cluster of luxury hospitality companies integrating a netnographic and text-mining techniques. We will use both the techniques in order to (1) extract and study brand associations in terms of brand reputation, brand image, and brand identity; (2) develop indicators of brand reputation and brand association matching; and (3) discuss their utility in the management of the hospitality company brands.

Because of the recent COVID-19 pandemic, online platforms where travelers' comments and reviews are published have grown considerably. More specifically, in the tourism sector, these social evaluations have been shown to have a strong influence as online platforms, such as online travel agencies (OTA), represent a main touchpoint for the formation process of the online corporate reputation. Hence, the purpose of this study is to investigate how the pandemic has influenced the online reputation formation of tourism companies and which are the new reputation pillars emerging from the COVID-19. To achieve this research aim, we analyzed the customers' reviews as reported publicly on TrustPilot.com, an online platform that allows customers to review businesses after a purchase or contact with their customer service, before and after COVID-19 so as to identify significant changes in the corporate reputational drivers of LastMinute.com. With this study we have identified the four topic clusters and their sentiment in the two periods of consideration, and we have found that the corporate reputation of tourism companies is formed today starting from different consumer needs. Finally, managerial implications for communication professionals operating in tourism firms are presented.