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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.

This study attempts to investigate how electronic Word-of-Mouth (eWOM), consisting of (1) opinion seeking, (2) opinion giving, and (3) opinion passing, influences consumers’ purchasing intentions for tourism services on Social Networking Sites (SNSs). Two hundred and seventy three American college students participate in a self-administered survey concerning their use of SNSs and ways of making online recommendations. Based on four hierarchical regression analyses, this study finds that both opinion seeking and opinion passing significantly influence respondents’ purchasing intentions. Additionally, time spent on SNS use reveals a positive relationship with opinion seeking and opinion passing. The conclusion of the present study highlights the eWOM as a cost-effective communication tool for tourism marketing and renders practical and theoretical implications along with suggestions for future research.

This chapter examines how information and communication technology (ICT) initiatives affect customers’ everyday routines with an emphasis on how electronic word of mouth (eWOM) affects their purchasing decisions and determines if eWOM might serve as a useful trust factor when making purchasing decisions. This chapter is based on both primary and secondary data and examines how eWOM affects customers’ buying decisions in this era of increasing social media platform usage. One hundred individuals from various regions of Karachi provided the primary data, collected through an online survey. Secondary data are also employed, such as details from business websites, scientific papers, and other related publications of businesses. In Karachi’s developing digital market, it was discovered that eWOM via social media used to have a substantial impact on consumers’ shopping habits. The effectiveness of social media content depends greatly on how appropriate it is for the intended audience. Social media marketing doesn’t quite simply aim to improve consumers’ impressions or directly advertise things. It also entails maintaining and fostering relationships between businesses and prospective customers. According to the research, consumers’ recommendations and ratings of goods and services made on social media, whether through eWOM or another channel, influenced their decisions to buy. Customers consider social media to be trustworthy when making decisions about what to buy. Customers are currently adopting social media as opposed to more conventional means to learn about new products. Most customers believe that eWOM from social media greatly affected their shopping choices, according to the results of the study.

This chapter is a descriptive study of digital marketing to stimulate electronic word-of-mouth (e-WOM) through the social impact of content creation. This chapter firstly introduces the background, concept, and development of e-WOM. Secondly, discuss the relationship between digital marketing and e-WOM. Finally, make recommendations for the business. In the discussion of the relationship between digital marketing and e-WOM, this chapter expounds the social impact of content-generating, one of the essential means in digital marketing. It discusses the relationship between social impact and e-WOM. This chapter can provide references and the basis for exploring the relationship between digital marketing and e-WOM.

This study examines how travel-related patterns of behavior on Facebook (FB) differ among users of different gender, age, and education. The authors assumed that females, young, and more educated people are more active in using FB for travel-related purposes and that the results will show a significant difference in their travel-related behavior patterns. Data about respondent’s travel-related behavior on FB were collected through an online survey (Google Docs) through the FB page named “The research on behaviors of FB users.” The study applies the multivariate general linear model (GLM) on the data collected from the total of 793 respondents. The results show that travel-related statuses respondents post on FB are generally about their travel destination. The main findings indicate that women, more educated, and older people are the ones who are the most active in sharing their travel-related information and are therefore target groups for promoting travel destinations via electronic word of mouth (eWOM). The study suggests target groups for promoting travel destinations via eWOM and it is the first research of this type done on a Serbian sample.

Electronic word of mouth (eWOM) is a digital marketing method that has been considered by some companies as an effective and efficient approach to enhance social learning and the environment for the customers. A social media user could benefit from gaining information from other users to aid their decision-making process. Instagram is an example of a social media platform that could be utilized for the application of eWOM. It could serve as a source of quality, credible and detailed information, and a channel to increase customer interactions and trust. This study aims to determine the effects of eWOM information generated through Instagram on patients’ intention to join the in vitro fertilization (IVF) programs. By adopting the information acceptance model (IACM) theory, several parameters were evaluated: information quality, credibility, usefulness, adoption, attitude toward information, and purchase intention. The structural equation modeling (SEM) was used to analyze as many as 200 respondents of Morula IVF Jakarta and were active Instagram users. The results showed that the adoption of information and attitude toward information had considerably influenced patients’ intentions to join the IVF programs. Such circumstances might have occurred as a result of the increase in information exchange about IVF, through the discussions and sharing of experiences by patients on Instagram. Furthermore, information usefulness was demonstrated to affect information adoption and was influenced by the credibility of information and attitudes toward information. Nonetheless, one variable which did not display any effects on the usefulness of information was the quality of information. In summary, the characteristics of eWOM information that were conveyed on Instagram could affect the intention of patients in joining the IVF program.

This chapter has three central goals: First, it aims to introduce the concept of consumers’ online brand endorsements, which we define as consumers’ intentional, public, and positive online affiliations with brands (e.g., liking a brand page on Facebook). Second, it provides an overview of the drivers and consequences of this phenomenon. Third, it answers the question whether and when the broadly adopted marketing strategy of consumers’ online brand endorsements is feasible.

To accomplish these goals, we conducted a general review of the literature.

We identified three different drivers of consumers’ online brand endorsements: Identity-related drivers, brand-related drivers, and community-related drivers. Based on the literature we suggest that from the perspective of the endorsing consumer, online brand endorsements have the potential to be a two-sided sword.

The greater potential of this marketing technique appears to rely on the fact that consumers’ online brand endorsements are broadcasted to a gigantic network of other consumers and their potential to be contagious.

Consumers’ online brand endorsements are a new phenomenon and therefore quite understudied. Still, many brands have social media marketing strategies that aim to acquire huge amounts of endorsements by their consumers. This chapter contributes to our knowledge about the underlying mechanisms of consumers’ online brand endorsements. Moreover, it shows how and when consumers’ online brand endorsements can be a feasible marketing strategy.