Search Results (151)

In recent years, the growing number of Online Travel Review (OTR) platforms and advances in social media and search engine technologies have led to a new way of accessing information for tourists, placing projected Tourist Destination Image (TDI) and electronic Word of Mouth (eWoM) at the heart of travel decision-making. This research introduces a big data-driven approach to analyzing and measuring the perceived and conveyed TDI in OTRs concerning the reflected perceptive, spatial, and affective dimensions of search results. To test this approach, a massive metadata analysis of search engine was conducted on approximately 2700 reviews from TripAdvisor users for the category “Attractions” of the city of Kastoria, Greece. Using artificial intelligence, an analysis of the photos accompanying user comments on TripAdvisor was performed. Based on the results, we created five themes for the image narratives, depending on the focus of interest (monument, activity, self, other person, and unknown) in which the content was categorized. The results obtained allow us to extract information that can be used in business intelligence applications. Full article

This study explored how fans’ perceptions of sponsor participation in environmental, social, and governance (ESG) activities influence attitudes toward the sponsor, sponsor image, electronic word of mouth (eWOM), and purchase intentions. Limited research has focused on the interactions between sports sponsorship and ESG activities. This study filled this research gap by considering the case of the Rakuten Monkeys, a professional baseball team in Taiwan, and its sponsors. Grounded in the theory of planned behavior, this study investigated how fans’ perceptions of sponsor participation in ESG initiatives affect their purchase intentions through sponsor attitudes, sponsor image, and eWOM. A total of 800 Rakuten Monkeys fans were recruited for this study, and the study hypotheses were tested using structural equation modeling. The results indicate that all investigated paths were significant. That is, fans’ perceptions of sponsor participation in ESG activities significantly enhance their attitudes toward the sponsor and sponsor image, which in turn positively influence their eWOM and purchase intentions. This study has theoretical and practical implications for enhancing brand image and consumer purchase intentions through ESG activities. The study contributes valuable insights that can be used by sports sponsors for developing marketing strategies. Full article

This paper investigates using blockchain technology to fight deceptive counterfeits in an electronic commerce environment. Thereby, a two-period pricing model is built under two competitive platforms: a blockchain-based platform which ensures product authentication and provides a higher value to customers but increases customers’ privacy concerns, and its rival (i.e., the traditional platform) in the absence of blockchain implementation which is perceived as having a lower value due to the existence of deceptive counterfeits and thus faces more government enforcement. Customers on both platforms are influenced by the electronic word-of-mouth (eWOM) effect, and customers value a platform more if the platform has more online sales. The two platforms either adopt the fixed pricing scheme or the modifiable pricing scheme and so four possible cases may occur. By deriving the equilibrium of each possible case, we analytically find that the attenuation of consumer privacy concerns, increases in government enforcement efforts, and eWOM can benefit the platform’s adoption of blockchain technology to combat counterfeits, and a strong eWOM effect is conducive to consumers but deteriorates price competition and thus harms both platforms. Whether the pricing schemes enhance the competitiveness of the blockchain-based platform over its rivals depends on the eWOM effect and the advantage gained from adopting blockchain technology. Full article

This study employs behavioral reasoning theory (BRT) to investigate factors (i.e., personal values, reasons, and attitudes) affecting existing and future behaviors of Millennial tourists’ electronic word-of-mouth (eWOM). It uses a mixed-methods approach that includes qualitative interviews with 25 tourists to elicit specific reasons for and against eWOM and a survey of 572 Millennial-Chinese tourists to quantitatively validate our BRT structural model. The statistical results from SmartPLS 3.0 show that all hypotheses on direct effects have gained empirical support except for the relationships between the existing behavior and its respective reasons for and against eWOM. These two insignificant direct effects are, however, shown to be fully mediated by global attitudes, respectively. Moreover, gender moderates the relationships between reasons against eWOM and the existing behavior and reasons for eWOM and future behavior, respectively. Most findings regarding the foregoing direct, mediation, and moderation effects are exploratory. In addition, this study contributes significantly to the literature by successfully developing and validating the scale of reasons for and against Millennial tourists’ eWOM within the BRT framework. Destination managers can use this scale of reasons as both a diagnostic tool and a blueprint for eWOM management. Full article

Online health service (OHS) platforms can provide sustainable healthcare services in China where healthcare demand continues to grow along with the scarcity of healthcare resources. This study investigated the levels of satisfaction of Chinese consumers’ experiences with OHS platforms and their reuse and electronic word-of-mouth (e-WOM) recommendation intentions. This study provides data for educating consumers on OHS platforms and for guiding strategic business planning for the OHS market. The theoretical model applied was the theory of planned behavior, augmented by integrating factors such as perceived service quality and subjective knowledge into its framework. Data were collected in April 2024 through an online survey of Chinese consumers who had used OHS platforms in the past year. The data were assessed using structural equation modeling and multiple group analysis. The findings indicate that various factors, including attitudes, perceived interaction quality, behavioral control, perceived system quality, perceived information quality, and subjective knowledge concerning OHS platforms, are significant enhancers of user satisfaction and reuse and e-WOM intentions. Health consciousness is a moderating variable in the dynamics between consumer satisfaction and their propensity to engage in e-WOM. Strategies targeting factors that influence satisfaction require development. Full article

The study intends to identify and analyze different consumer segments. For this purpose, we examine why customers turn to electronic word-of-mouth (eWOM) before making a purchase and how they perceive a hotel’s information and communication technology (ICT) and relational innovation after making a purchase. The objective was empirically tested with data from a panel of consumers who stayed at hotels during the post-pandemic recovery period in Spain. In total, 393 valid questionnaires were obtained. The estimation of a finite mix model was applied to identify guest profiles. Estimation identified three guest profiles where the perceptions of the hotel’s relational innovation and ICT present a high discriminant power in the first two segments. Moreover, compared to the second segment, the first group is characterized by the low impact level of these variables. On the other hand, the motivation to consult eWOM in the prebooking stage significantly influences all three groups; however, the guests of the third segment present less motivation than the rest. Hotel managers may consider ICT, relational innovation, and eWOM factors when segmenting consumers. Understanding this would enhance the company’s service delivery and the hotel’s competitiveness. The contribution of this study lies in considering ICT, relational innovation, and eWOM as novel factors that help identify different guest profiles. Full article

This study investigates the impacts of the Big Five personality traits and propensity to trust on the use and writing of online reviews. Additionally, this study examines how gender moderates these impacts. Results of a survey (n = 840) show that openness to experience and conscientiousness positively influence online review use, while openness to experience and extraversion positively influence online review writing. Moreover, gender moderates the impacts of extraversion, openness to experience, and agreeableness on online review writing, with no moderating effect observed for online review use. Our findings contribute to the electronic word-of-mouth (eWOM) literature and offer important practical insights for eWOM platforms. Full article

A growing body of the literature on the study of online reviews presents interesting research opportunities, especially in services highly frequented by young consumer segments, such as restaurants. In this context, the present study examines the restaurant electronic word-of-mouth (EWOM) behavior of Millennial consumers by addressing both review queries before the purchase decision and writing and sending after the purchase. Based on the theory of reasoned action, a double objective is pursued. On the one hand, the influence of motivations related to extroversion, social benefits, and altruism on EWOM sending behavior is analyzed. On the other hand, the moderating role of EWOM consultation in these relationships is studied. Using a sample of 341 Millennials from Ecuador, a structural model is constructed that confirms the contribution of two types of motivations in sending EWOM: those of extroversion and those of social benefits. The results also reveal the moderating role of EWOM consultation alone in the effects of extraversion and altruism motivations. Managerial implications for restaurants derived from this study include improvements in the design of digital communication strategies tailored to Millennial customers based on their motivations. Full article

This study explores the impact of artificial intelligence (AI) on customer perceptions and behavior in restaurants, airline companies, and hotel sectors within the hospitality industry of Iran. The primary objective is to analyze how AI affects customer trust, brand engagement, electronic word-of-mouth (eWOM), and tourists’ readiness to use AI technologies. Using a comparative analysis approach and surveys, this research tests hypotheses about the effects of artificial intelligence on various dimensions of customer interaction. The findings highlight significant relationships between the quality of artificial intelligence and customer engagement metrics, such as trust and brand loyalty, which are crucial for understanding and predicting customer behavior in response to technological advancements. This study lays the groundwork for theoretical assumptions about sustainability in these sectors in developing countries, providing a basis for future empirical research that could validate these assumptions and explore broader implications of AI integration in enhancing sustainable practices within the hospitality industry. Full article

The growing number of online users commenting on review platforms has fueled the development of electronic word–of–mouth (eWOM). At the same time, merchants have improved their requirements for the length and frequency of online reviews. However, few studies have examined the updating mechanism of online reviews length and frequency from the perspective of businesses. This study explores the relationship between online commenting platform users and eWOM and examines how eWOM information richness affects online user review behavior. We used media richness theory (MRT) to quantify the information richness of eWOM content (linguistic, textual, and photographical) to build an empirical framework. For the research data, we used advanced big data analytics to retrieve and analyze TripAdvisor data on restaurant services in nine major tourist destinations, the United States, Mexico, and mainland Europe (including UK, Spain, Netherlands, etc.), over a long period of time. Based on >10 million eWOM, this study used multiple regression to examine the impact of eWOM information richness on online user review behavior, considering the moderating effect of information ambiguity. Our research results show that content information richness positively affects online user review behavior, increasing their frequency and length. Information ambiguity play a moderating role that strengthens this relationship. This supports our theoretical hypothesis. Finally, for greater applicability and reliability, we conducted a comparative study on the degree of differences in the relationship between eWOM and users based on different cultural backgrounds across countries. Full article

In this paper, we study the relationship between electronic word of mouth (e-WOM), brand perceptions, and consumer purchase intentions in the Saudi hospitality market via an extensive questionnaire design using a five-point Likert scale. A total of 410 respondents from the central, western, and eastern regions of Saudi Arabia were chosen using the convenience sampling technique. The structural equation modeling (SEM) analysis using SPSS AMOS 26 software showed that e-WOM via social media, online retail stores, brand-owned media, and influencers positively affects perceived brand quality, which leads to increased purchase intentions. The model showed an R-squared of 0.579, indicating that e-WOM explains about 57.9% of the variation in perceived brand quality. In particular, e-WOM through social media and influencers has been established as a strong factor in predicting perceptions of brand quality. This study reveals that learning the nuances and strategic management of e-WOM channels is key to improving brand perceptions and consumer purchase behavior in the Saudi hospitality market in the digital age. Full article

Given the exponential growth of eWOM, especially among the millennial generation, an analysis of the consultation behaviour of online opinions is essential to better understanding the decision-making process. The aim of this proposal is to analyse how the motivations towards eWOM consultation contribute to the final adoption of eWOM, especially in the restaurant context, exploring the relationship chain “motivations to consult eWOM—intention to consult eWOM—adoption to consult eWOM”. Moreover, studying the moderating effect of gender in this chain is argued. Based on a sample of 341 millennials with experience in reading online reviews and visiting restaurants, a causal model was estimated through PLS estimation in the geographic area of Ecuador. The results confirm that millennials’ motivations influence directly their intention to consult eWOM and indirectly on eWOM adoption. In addition, gender does not show a significant effect on the chain of effects. Given that virtual platforms have the potential to influence men and women equally, the communication efforts of restaurants focused on this target audience and carried out on social media must focus on aspects other than gender. Full article

Online streaming contents are creating greater service uncertainty, as consumers need to experience such contents before making a decision to continue to purchase them. Few studies have investigated the interaction between eWOM (online word-of-mouth) and online streaming content service characteristics with regard to the performance of online streaming contents and explained how this interaction can promote the role of service characteristics in service performance outcomes or remedy service uncertainty attributable to these characteristics. Thus, in order to test the interaction effects, this paper examines the moderating effects of service (webtoon) characteristics (i.e., author experience, genre (drama or fantasy), completion, transfer to paid service, and publication time (Wednesday)) on the relationship between eWOM and certain online streaming contents’ service performance measures; in this case, the publication period and content gamification. Based on scrawled data from 154 webtoons published on Naver Webtoon, a multivariate regression analysis with interaction terms showed that author experience and genre interact with the number of reviews to affect gamification. The transfer to a paid service interacts crucially with review ratings and the number of reviews to influence both the publication period and gamification. Online streaming content completion and publication times are factors that interact with review ratings and thus affect the publication period. Service providers need to cope with service uncertainties when attempting to further their online streaming content service by considering the service characteristics as well as customers’ responses through eWOM. Full article

This research tests the relationship between aspects of customer influenceability at the time of booking a hotel with the propensity to write a review in electronic word-of-mouth communication. A valid sample of 739 online questionnaires was obtained. An Exploratory Factor Analysis was conducted in order to reduce the dimensions of the two critical variables, and a measurement model was built. Then a Path analysis was carried out. The novelty of this research lies in measuring the evolution from being a passive eWOM reader to a proactive eWOM writer. Results indicate a relationship between being influenced by reading reviews and the propensity to write reviews. The most important underlying motivation to write a review is altruistic. Managers should try to identify the most responsive customers and encourage them to write reviews on altruistic grounds. This study effectively validated the impact of being responsive to reading reviews on the inclination to, in turn, write them. Findings contribute to the evolving research landscape in eWOM within the hospitality and tourism sector, offering practical insights for industry practitioners to formulate more effective strategies in soliciting and managing customer reviews. Full article

Tourism plays a pivotal role in Pakistan’s economic landscape. Understanding the drivers of tourist loyalty is paramount for sustainable growth. This study delves into the factors influencing tourist loyalty within Pakistan’s tourism sector, examining the destination image, service quality, electronic word of mouth, and tourist satisfaction. Data sourced from a tourist survey at popular Pakistani destinations unveil significant relationships and mediation effects. The results underscore that a positive destination image and superior services directly impact tourist loyalty. Furthermore, electronic word of mouth and tourist satisfaction mediate these relationships, highlighting how positive perceptions and satisfaction bolster loyalty. Social media also exerts a moderating influence on the destination image, service quality, and tourist loyalty dynamics. These findings offer crucial insights for tourism stakeholders and destination marketers to refine strategies. By enhancing its destination image, delivering exceptional services, and leveraging social media, Pakistan can both attract and retain tourists, bolstering its tourism sector’s growth and prosperity. This study contributes to the existing literature and offers practical guidance for promoting tourism in developing nations like Pakistan. Full article