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Purpose The usage of robot waiters in the hospitality industry is growing, thus increasing the number of human–robot interactions in frontline services. Focusing on robot waiters in restaurants, this study aims to propose the social cognition (SC)–psychological ownership (PO)–customer responses (CR) model, while examining the association between SC, PO, robot anthropomorphism and CR. Design/methodology/approach The hypotheses of this study are tested using a three-step mixed-method approach that includes partial least squares structural equation modeling (PLS-SEM), necessary condition analysis (NCA) and fuzzy-set qualitative comparative analysis (fsQCA). Findings PLS-SEM demonstrates the mediating role of psychological ownership on the relationship between SC, customer attitudes regarding being attended by a robot and revisiting intentions. Robot anthropomorphism enhances the relationship between SC and psychological ownership. NCA indicates that SC and psychological ownership are necessary conditions for the presence of favorable attitudes and revisiting intentions. FsQCA suggests that different configurations of the antecedent conditions lead to better attitudes and revisiting intentions. Practical implications Frontline hospitality robots need to be perceived as warm, competent, responsive and adaptable to customer requests to elicit positive responses. Managers should employ attractive robots displaying anthropomorphic features. Managers need to ensure that customers have some knowledge about robots before interacting with them. Managers should also consider customer heterogeneity and the context in which the robots will be deployed. Originality/value Based on the psychological ownership theory, this paper analyzes the relationship between SC, psychological ownership and CR. Anthropomorphism moderates the relationship between SC and psychological ownership.

The relevance of smart speakers is steadily increasing, allowing users perform several daily tasks. From a commercial perspective, smart speakers also provide recommendations of products and services that may influence the consumer decision-making process. However, previous studies have mainly focused on the adoption of smart speakers, but there is a lack of proper guidelines that help design the way these devices should offer their consumption recommendations. Based on a stimulus-organism-response approach, we analyze how two features of smart speakers' recommendations (the gender congruence between the customer and the speaker, and the length of the message) influence on the effectiveness of such recommendations (i.e., visiting intentions) through its impact on user engagement and attitude. Data was collected from a sample of undergrad students in Spain using an experiment design that focused on a restaurant recommendation, and analyzed using partial least squares. On the one hand, our results suggests that gender congruence generates user engagement with the smart speaker. On the other hand, message length is positively related to attitudes towards the restaurant, at a declining rate. In addition, while better attitudes lead to higher visiting intentions, the influence of engagement on visiting intentions is partially mediated via attitudes. Thus, our findings contribute to understand the antecedents of users' engagement with smart speakers, as well as its impact on the customers' willingness to follow smart speakers' recommendations, constituting a base to analyze the impact of artificial intelligence solutions aimed to smooth the transitions of a customer through the stages of purchase process.

Purpose Customer identification leads to behaviors that are beneficial for firms. This paper aims to analyze the effect of firm identification and community identification on content creation, which indirectly may affect offline word of mouth and online word of mouth. Design/methodology/approach This paper proposes a research model that is tested using data from 491 users of online travel agencies. To do so, partial least squares method is used. Findings The results show a positive relationship between firm identification and community identification. Moreover, both variables exert a positive effect on content creation. Furthermore, content creation positively influences offline and online word of mouth. This influence is moderated by self-enhancement in the case of online word of mouth. Practical implications Firm managers must enhance customer identification, as it can turn in behaviors that are beneficial for the company. Moreover, firms that own online communities must apply segmentation strategies based on identification and self-enhancement to encourage positive behaviors from customers. Originality/value This research tests the relationship between firm identification and community identification. Additionally, this study jointly analyzes the impact of these variables on several beneficial behaviors.

PurposeOnline reviews have received research attention in recent years, as they work as precursors of consumer behaviors. Previous studies have suggested that the influence of online reviews may vary across generations. However, the previous literature has not analyzed yet whether millennials and Generation X react differently to online reviews. This study aims to shed light on this by analyzing whether the attitudes and behavioral intentions generated by online reviews are different for these two generational cohorts.Design/methodology/approachAn experimental procedure was designed to manipulate online review valence; data were collected from 351 respondents in two samples, Generation X and millennial participants.FindingsResults suggested that positive online reviews generate more positive customer attitudes and booking intentions than negative online reviews. In addition, Generation X vs millennials moderates the link among online review valence, attitudes and booking intentions. The resultant behaviors from online reviews are more intense among Generation X than for millennials.Practical implicationsManagers should be aware of online review valence and their customers' generational cohort, that is, whether they are millennials or Generation X, as they react differently to online reviews.Originality/valueThis research examines the moderating role of millennials and Generation X in the relationship between online reviews, consumer attitudes and behavioral intentions. The aim is to explain how millennial and Generation X consumers react to eWOM, that is, whether generational cohort mitigates or enhances the effects of positive vs negative online reviews on consumer reactions.