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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.

This study examines a cross section of the Spanish retailing branch on the adoption and use of Social Media tools, identifying users and nonusers and their impact on management experiences. The use of 2.0 technologies has also been analyzed based on company size.

An online survey among 90 Spanish retailers provides a number of interesting insights in the adoption rates, the facilitating and disruptive factors in the adoption process, the types of applications used by retailers, and their experiences from them. Prior to filling in the online questionnaires, the recipients were contacted by phone and were informed about the study. A Chi-square analysis has been carried out to contrast the suggested research questions.

Retailers using Social Media as part of their marketing strategy use most social applications for customer-related purposes and see clear benefits in improving customer relations, market communication, improving their after-sales services, and obtaining customer feedback and customer information. Although many differences do not exist between large, medium, and small companies, it is remarkable that large companies use social web tools as branding and small companies as customer service.

The main problem of this study has been the low recruitment of answers by retailers.

Customers are using such technologies in overwhelming numbers and a substantial part of the customer generated content in Social Media is about brands, businesses, and products. Having a good idea about the customer dialog online can provide businesses with very valuable information and help them understand market trends but also identify potential areas of danger and problems.

The adoption of Social Media tools is a topic much studied from demand perspective. Nevertheless, the application to business and, specifically, retailing sector is less analyzed. With this study we pretend to improve this research line from offer perspective.

The purpose of this research is to review empirical research on customer involvement in innovation and identify future research directions that can better connect this research with marketing strategy literatures and offer opportunities for further theoretical development.

We conduct a review of empirical articles published in eight leading marketing and innovation journals between 2001 and 2017.

The review shows that the literature on customer involvement in innovation is highly diverse and fragmented, lacking a common understanding of what constitutes customer involvement in innovation and its theoretical underpinnings. There exists a multitude of conceptualizations of customer involvement in innovation, which limits effective accumulation of domain knowledge. A large number of studies have taken the customer’s perspective to examine their motivation to participate and ability to contribute, whereas less research has been done from the firm’s perspective to understand how firms may effectively manage the well-recognized challenges of customer involvement as well as the implications of customer involvement for long-term innovation strategy and overall performance. Based on the review, we offer recommendations for future research.

We identify important questions for future research that are highly relevant for the practice of customer involvement in innovation.

We provide a systematic review of the rapidly growing empirical research on customer involvement in innovation. We evaluate key points of differences in the literature and offer a synthesis that helps identify opportunities for future research.

Traditionally, firms have been dependent on internal sources such as their own employees – and up to a certain extent, on some external sources, their customers – for innovation. However, in the current scenario of technological dynamism, firms are exploring multiple sources to generate ideas for innovation. Therefore, there is a need to understand the relative effect of various sources of innovations on a firm’s performance.

We offer a conceptual framework where we identify six distinct sources of innovations – firm, customers, external network, competition, macro-environment, and technology and how they create value for focal firms especially their brand equity. We introduce a taxonomy of various costs and benefits related to innovations. We then argue using our proposed taxonomy to understand the relative strengths of various sources of innovation affecting a firm’s brand equity.

We discuss and compare the relative effects of these sources of innovations on a firm’s brand equity by rank-ordering the sources. The customers and the technology as a source of innovation have the maximum impact on the firm’s brand equity followed by the marginal impact of macro-environment and external network of a firm. The firm itself has a moderate impact on its brand equity, while competition has the minimal impact. Further, we also discuss how the relationship is moderated by different innovation characteristics (nature and type of innovations).

The main practical implication is to create awareness among managers about various costs and benefits of the proposed six sources of innovations and their effects on brand equity. Managers would be able to prioritize their sources of innovation based on firms’ current needs, and whether to focus on lower costs or building higher brand equity in the scarce resource environment.

We offer a comprehensive list of six sources of innovation, build a conceptual framework wherein we discuss the relative strengths of these sources affecting brand equity.

We provide an overview of how artificial intelligence is transforming the identification, structuring, and prioritization of customer needs – known as the voice of the customer (VOC). First, we summarize how the VOC helps firms gain insights on using user-generated data. Second, we discuss the types of user-generated data and the challenges associated with analyzing each type of data. Third, we describe common methods, matched to the firms' goals and the structure of the data, that are used to analyze the VOC. Fourth, and most importantly, we map the methods to relevant applications, providing guidance to select the appropriate method to address the desired research questions.

The Internet is redefining the way in which researchers and consumers can access information on hospitality products and experiences. For example, a growing number of online communities (e.g., http://Tripadvisor.com) offer consumers the opportunity to view and participate in various forums and reviews of hospitality experiences around the world. This has created a rich source of information which researchers can tap into, via Internet-based methodologies, to deepen current understanding of the modern hospitality consumer. Thus, the Internet has become a viable (virtual) fieldwork site for hospitality and other research. However, net-based methods have not been fully embraced in hospitality research. In particular, attention is drawn in this chapter to netnography (online ethnography), a novel, Internet-based research methodology, which has rarely been employed in hospitality research. Further, it is suggested, researchers can complement traditional research techniques with netnography to create more rigorous methodologies.

The purpose of the study is to analyse the impact of COVID-19 on the hospitality industry during the rise of worldwide pandemic crises using Twitter analysis. The study is based on 57,794 English-language tweets mined from Twitter from 1 April 2020 to 15 October 2020. Based on thematic and sentiment analysis, the study found that overall sentiments expressed on Twitter were negative. This chapter contributes to existing knowledge about the COVID-19 crisis and broadens the respondents’ understanding of the potential impacts of the crisis on the most vulnerable tourism and hospitality industry. This research emphasises the sustainable revival of the hospitality industry.