Given the increasing presence of humanoid service robots at airports, hotels and restaurants, the current study investigates how consumers’ interdependent self-construal and technology self-efficacy jointly influence their reactions to service machines with humanlike features in a service failure context. The results demonstrate that consumers show varying levels of dissatisfaction with a service failure caused by an anthropomorphic (vs. non-anthropomorphic) self-service machine depending on their levels of interdependent self-construal (high vs. low) and technology self-efficacy (high vs. low). The underlying mechanism is self-blame. The theoretical contributions to the existing service technology research and the emerging anthropomorphism literature are discussed. This research also provides practical guidelines to industry practitioners for more efficient usage of service robots in delivering customer service.

Facilitated by emerging technologies, the immersive digital museum reflects disruptive innovation in today’s tourism experience and offers a multidimensional experience different from traditional museums. To better understand how visitors respond to this innovative form of digital tourism, the current research investigates visitor experiences at the digital museum and achieves a threefold goal. First, this research delineates a three-dimensional digital museum visitor experience, namely, joviality, personal escapism, and localness. Built on this experiential framework, the present research further affirms that visual and auditory cues are the most powerful multisensory cue combination in enhancing a holistic visitor experience at the digital museum. This study also finds that emotional state and sense of presence mediate the relations between the multisensory cues and visitors’ digital museum experiences. This research contributes to the conceptualization of a digital museum experience, and provides a foundation for the future research endeavor of the new generation of digital tourism.

Purpose: To enhance customer experiences, firms are increasingly adding human-like features to their self-service technology (SST) machines. To that end, the purpose of the present study is to examine customer interactions with an anthropomorphic machine in a service failure context. Specifically, the authors investigate the joint effects of machine voice, an individual’s sense of power and the presence of other customers in influencing customers’ switching intentions following an SST failure. Design/methodology/approach: In this study, the authors used a quasi-experimental design in which they manipulated voice type (anthropomorphic vs robotic) and the presence of other customers (present vs absent) in video-based scenarios while measuring customers’ sense of power. The scenarios reflected a service failure experience with a self-service kiosk at an airport. The authors tested the hypotheses using PROCESS analyses with the Johnson–Neyman technique. Findings: Consumer reactions to SST failures vary depending on the degree of anthropomorphism associated with an SST machine, an individual’s sense of power and the presence of other customers. Research limitations/implications: Field inquiry and an investigation in other SST contexts or of other anthropomorphic features are needed to generalize the findings. Practical implications: Service providers targeting powerful consumers should consider the social presence of others when incorporating anthropomorphic features into their SST facilities. Originality/value: This study is the first to examine consumer responses to service failures in an anthropomorphic SST context.

Purpose: Taking a mixed-method approach, this research developed and validated a novel, value-centric experience framework delineating robotic involvement in the service encounter and its subsequent impact on customers' experiences.Design/methodology/approach: Focused on robotic restaurant businesses where robots are mainly involved in food production processes, this research utilized online customer review data and a multistage, mixed-method design for empirical examination. Automated thematic analysis was first adopted to facilitate a comprehensive understanding of the empirical reality as reflected in online customer reviews. Following an analytic induction process, a theoretical framework was developed integrating prior literature with the empirical reality to uncover the relationships across robotic involvement, experiential values and evaluative outcomes. A theory-driven, dictionary-based content analysis together with path analysis further enabled empirical validation of the developed theoretical framework.Findings: The current research developed and validated a value-centric experience framework to theorize robotic involvement in the service encounter and its downstream impact on customers' experiences. Specifically, this framework conceptualizes robotic involvement as a five-dimensional composition of robotic visibility, competency, performanism, co-creativity and prominence. In addition, the framework specifies seven dimensions of experiential values revolving around high-tech–high-touch robotic service encounters, namely sensorial, utilitarian, hedonic, social, agentic, epistemic and aesthetic values. Following empirical validation, this framework sheds light on robotic involvement and experience design for high-tech–high-touch service businesses aiming to incorporate robots in their service encounters.Originality/value: Drawing on classic service role theory and consumption value theory, this research developed and validated a novel theoretical model connecting robotic involvement dimensions with experiential consumption values and downstream customer evaluative outcomes. This research and theoretical framework open an exciting avenue for future research in robotic services and customer experiences.

The emergence of various service technologies has reshaped how today’s customers interact with the service provider. The current research proposes a service matrix delineating various types of service encounters along two dimensions: touch (the extent to which customers directly interact with frontline employees) and tech (the intensity of technology use). Furthermore, we investigate the moderating role of relationship type (i.e., communal vs. exchange) in influencing customer evaluations of touch and tech type encounters and further identify the underlying mechanism. The results from the two empirical studies demonstrate the moderating effect of the communal relationship norms and the consequent mediation effect of warmth. This research lays the foundation for the future investigation of different service encounter management practices based on various levels of human factors and technology infusion. For service companies, our findings about the interplay of service encounter types and customer–company relationships will help them to better understand their customers and consequently provide an optimal level of service.