Search results

Firms have begun to introduce virtual agents (VAs) in service encounters, both in online and offline environments. Such VAs typically resemble human frontline employees in several ways (e.g. the VAs may have a gender and a name), which indicates the presence of an assumption by VA designers – and by firms that employ them – that VA humanness is a positively charged characteristic. This study aims to address this assumption by examining antecedents to perceived humanness in terms of attribution of agency, emotionality and morality, and the impact of perceived humanness on customer satisfaction.

A questionnaire was distributed online to participants who had been interacting with existing VAs, and they were asked to focus on one of them for this study. The questionnaire comprised measures of antecedents to perceived humanness of VAs, perceived humanness per se and customer satisfaction. A structural equation modeling approach was used to assess associations between the variables.

Attributions of agency, emotionality and morality to VAs contributed positively to the perceived humanness of the VAs, and perceived humanness was positively associated with customer satisfaction.

Additional humanness capabilities should be explored in further research.

Firms using VAs in service encounters should make attempts to maximize perceived VA humanness, and this study shows that it may be beneficial if such attempts comprise signals that VAs have agency, emotionality and morality.

By examining VAs in terms of a set of fundamental human capabilities, the present study contributes to existing research on human–VA service encounters, which to date has focused on more superficial VA characteristics (such as if the VA has a face and gender).

In the tourism industry, immersive technologies become increasingly vital, amplifying traveler experiences and industry growth. By studying “e-booking” applications prevalent in hotels, this study aims to analyze the impact of integrating an anthropomorphic virtual agent (AVA) on user perceptions of humanness and service usage intent.

Two experiments were conducted to examine the effects of using an AVA and explain the psychological mechanism of how AVA’s attributes increase intention to use “e-booking” application.

The results highlight the positive influence of AVA on the intention to use. They illustrate the psychological mechanism of how AVA’s attributes (agency and emotionality) influence perceived humanness and intention to use. More specifically, the results indicate that perceived humanness mediated the effect of an AVA on intention to use.

Further research should delve into additional capabilities related to humanness.

This study provides useful insights for hotels’ managers about incorporating AVAs in digital services to enhance the perceived humanness of AVAs. The findings suggest that such efforts could yield benefits, especially when they involve conveying that AVAs possess agency and emotionality.

To the best of the author’s knowledge, this study is the first to investigate how AVA impacts hotel human–computer interaction. It examines agency and emotionality features on humanness perception and behavioral intent. It also guides successful digitalized hotel service development and design, expanding existing research on human–virtual agent digital services, which mainly focuses on superficial traits like face and gender.

The research aims to addresses the limitations of previous literature regarding choosing the appropriate conceptualization of trust (i.e. interpersonal trust or system trust) and the role of design aesthetics in generating system trust and intention to adopt mobile banking.

The research conducts two studies. Study 1 determines the degree of humanness in a mobile banking application. Study 2 tests the research model. A total of 261 respondents participate in Study 1 and 491 in Study 2. Statistical Package for the Social Sciences (SPSS) (study 1) and SmartPLS (PLS software) (study 2) are used to test the hypotheses.

Study 1 establishes that the mobile banking application is perceived to have low humanness. Thus, it is expected that system trust is more appropriate to use than interpersonal trust. Study 2 demonstrates that (i) system trust is more useful than interpersonal trust in the mobile banking context and (ii) design aesthetics positively influences consumer system trust and intention to adopt.

To the best of the authors' knowledge, the current research is the first to distinguish empirically between system trust and interpersonal trust and identify the best choice of mobile banking trust type. Specifically, the study determined the choice of system trust for mobile banking through a priori humanness measures and validated this choice by measuring both system trust and interpersonal trust, which has not been done before. In addition, retail banking should consider the influence of design aesthetics on consumer trust and incorporate elements that enhance consumers' opinions about the mobile banking application's functionality, reliability and helpfulness.

The purpose of this research is to understand whether service robots can safeguard servicescapes from deviant consumer behaviour. Using routine activity theory, this research examines whether increasing the perceived humanness of service robots reduces customer intentions to commit deviant consumer behaviour and whether this negative relationship is mediated by perceived empathy and perceived risk of being caught.

Five hundred and fifty-three US residents responded to a hypothetical scenario that manipulated the humanness of a service agent (from self-service technology, to robot, to human employee) across seven conditions and measured the likelihood of deviant consumer behaviour, empathy towards the service robot, perceived risk of being caught and punished and negative attitudes towards robots.

The results indicate that replacing human service agents with different types of service robots does inadvertently reduce customer perceptions of capable guardianship (i.e. the human element that deters potential offenders from committing crimes) in the servicescape and creates conditions that allow customers to perpetrate more deviant consumer behaviour.

When investing in technology such as service robots, service providers need to consider the unintended cost of customer misbehaviour (specifically deviant consumer behaviour) in their return-on-investment assessments to optimise their asset investment decisions.

Moving beyond research on customer adoption and use, this research examines the unintended consequences that might arise when deploying service robots in a technology-infused service environment. Humanised service robots offer more guardianship than self-service technology but do not replace human employees in preventing deviant consumer behaviour, as they remain more capable of deterring customer misbehaviour.

Service robots are expected to become increasingly common, but the ways in which they can move around in an environment with humans, collect and store data about humans and share such data produce a potential for privacy violations. In human-to-human contexts, such violations are transgression of norms to which humans typically react negatively. This study examines if similar reactions occur when the transgressor is a robot. The main dependent variable was the overall evaluation of the robot.

Service robot privacy violations were manipulated in a between-subjects experiment in which a human user interacted with an embodied humanoid robot in an office environment.

The results show that the robot's violations of human privacy attenuated the overall evaluation of the robot and that this effect was sequentially mediated by perceived robot morality and perceived robot humanness. Given that a similar reaction pattern would be expected when humans violate other humans' privacy, the present study offers evidence in support of the notion that humanlike non-humans can elicit responses similar to those elicited by real humans.

The results imply that designers of service robots and managers in firms using such robots for providing service to employees should be concerned with restricting the potential for robots' privacy violation activities if the goal is to increase the acceptance of service robots in the habitat of humans.

To date, few empirical studies have examined reactions to service robots that violate privacy norms.

The purpose of this paper is to investigate how and why some service ecosystems are more resilient and, consequently, more sustainable than others during turbulent times, and how resilience can be cultivated to enable pathways to service ecosystem sustainability.

This work integrates disparate literature from multiple service and sustainability literature streams, iterating through constant comparison with findings from 44 semistructured interviews conducted in the context of primary health care clinic service ecosystems.

The authors offer a novel conceptual framework comprising pillars (shared worldview, individual actor well-being and multiactor interactions), changing practices to cultivate resilience through resilience levers (orchestrators, individual actor effort, actor inclusivity and digitaltech–humanness approach), and pathways to service ecosystem sustainability (volume vs value, volume to value, volume and value). The authors demonstrate that service ecosystems need to change practices, integrating resources differently in response to the turbulent environment, emphasizing the importance of a shared worldview across the ecosystem and assessing different pathways to sustainability.

This paper offers new insights into the important intersection of service marketing, sustainability and health care. The authors provide guidance to practitioners aiming to cultivate resilience in service ecosystems to achieve pathways to sustainability in primary health care clinics. Finally, implications for theory are discussed, and directions to guide future service research offered.

This study aims to examine humans’ reactions to service robots’ display of warmth in robot-to-robot interactions – a setting in which humans’ impressions of a service robot will not only be based on what this robot does in relation to humans, but also on what it does to other robots.

Service robot display of warmth was manipulated in an experimental setting in such a way that a service robot A expressed low versus high levels of warmth in relation to another service robot B.

The results indicate that a high level of warmth expressed by robot A vis-à-vis robot B boosted humans’ overall evaluations of A, and that this influence was mediated by the perceived humanness and the perceived happiness of A.

Numerous studies have examined humans’ reactions when they interact with a service robot or other synthetic agents that provide service. Future service encounters, however, will comprise also multi-robot systems, which means that there will be many opportunities for humans to be exposed to robot-to-robot interactions. Yet, this setting has hitherto rarely been examined in the service literature.

The purpose of this study is to empirically investigate what aspects of service robot interactions with customers can lead to meaningful outcomes in the view of customers. The study examines functional and emotional elements of AI service robots in terms of meaningful outcomes.

This study highlights AI service robots' meaningful outcomes as a viable research problem and proposes a research model utilizing the Stimulus-Organism-Response (SOR) framework. As an empirical approach, 260 datasets were collected from customers who have experience with AI service restaurants in China.

The study examines the functional and emotional elements of AI-powered service robots on the attitude of and meaningful outcomes for customers. The results showed that the emotional (perceived friendliness and perceived coolness) and functional (perceived safety and robot competence) attributes of human–robot interactions (HRI) significantly affect the attitude toward using service robots. Second, the attitude toward using service robots significantly influences the experiential outcome and instrumental outcome of meaningful engagement.

This study highlights two elements (i.e. functional and emotional) of HRI effectiveness using two metrics: experiential and performance outcomes. Future studies should generalize the research findings of service robots in the current study using a larger quantity of data from various service fields.

As the first empirical study highlighting the customer experience with service robots, this study opens up a feasible research direction for the service industry to pursue in terms of conducting HRI studies from the view of customers. It identifies a research model pursuant to customers' experience with HRI in creating meaningful outcomes and it theoretically extends the SOR model to the hospitality study, focusing on the HRI issue.

Artificial intelligence–enabled voice assistants (VAs), such as Amazon's Alexa, Google Assistant, and Apple's Siri, are available in smartphones, smart speakers, and other digital devices and channels. Use of these VAs is growing rapidly and are expected to significantly impact purchase intentions. This article focuses on how the communications enabled and provided by these VAs influence VA evaluations and usage intentions, contingent on the stage of the customer journey.

This paper builds from work on VAs, work on artificial intelligence (AI) and work on communications, to offer a comprehensive and up-to-date understanding of how VA evaluations and usage intentions may be impacted by the communications from VAs, contingent on the stage of the customer journey.

This paper proposes a model for VA enabled communications impact VA evaluations. It builds from work on VAs, AI, communications, and customer journey management. In the proposed model, VA evaluations are not only impacted by source, message and recipient characteristics (per prior communication models), but also by (1) VA/AI specific features, like perceptions of humanness and perceptions of artificiality, and (2) stage of the customer journey.

This paper provides guidance to firms, as regards how VA communications may influence VA evaluations and usage intentions. As an initial conjecture, (1) increasing perceptions of humanness, (2) decreasing perceptions of artificiality (3) a better fit between communications style (e.g. abstract vs concrete), and request type (e.g. transactional vs informational) (4) a better fit between VA communications (e.g. information vs banter), and consumer perceptions of the VA (servant vs partner) and (5) a better fit between VA communications and the stage of the customer journey may positively influence VA evaluations and VA usage intentions.

This paper provides a fresh look at the impact of VA communications, clarifying how such communications impact VA evaluations and usage intentions at various stages of the customer journey.

Chatbots are increasingly used in online retail settings and are becoming a powerful tool for brands to engage customers. However, consumers’ satisfaction with these chatbots is mixed. Thus, this paper aims to investigate how using a social- versus task-oriented anthropomorphic communication style can improve customer satisfaction.

The authors explore the link between the anthropomorphic communication style use and customer perceptions/customer satisfaction in online customer service interactions. Two experiment scenarios were developed to test these links.

Overall, using a social-oriented communication style boosts customer satisfaction. Warmth perception of the chatbot mediates this effect, while chatbot’s anthropomorphised role (servant versus partner) moderates this effect.

This paper enriches the bilateral communication literature by extending the investigation on communication style effects to chatbot service interactions and revealing the psychological process driving the impacts. It also adds to the existing literature on chatbots as a customer service and contributes to the prominent topic examining how consumers react to artificial intelligence that is used to establish and maintain a relationship with them. Additionally, the authors also make contribution to the warmth and competence literature by demonstrating that customers can interpret social cues in chatbot service interactions mainly based on the warmth dimension. Thus, the authors further add to the growing chatbot humanness perception literature and respond to the calls for investigating more anthropomorphic design cues to enhance chatbot humanness. Finally, the authors also provide a way to help reconcile seemingly conflicting prior findings.