Search results

As self-service technologies (SSTs) become more prevalent, service providers are actively encouraging customers’ involvement with these technologies, sometimes even forcing their customers to use SSTs. This paper aims to examine the influence of the SST-only (vs full-service) mode on customers’ negative attitude toward SST providers through the mediating mechanism of powerlessness and explores how SST familiarity and SST anthropomorphism moderate the impacts of the SST-only mode on powerlessness.

Three experiments were performed, study 1 tested the main and mediating effect and studies 2 and 3 verified the moderating effects.

The results suggest that customer perceived powerlessness mediates the relationship between SST-only (vs full-service) mode and negative attitude toward SST providers. When the levels of SST familiarity and SST anthropomorphism are high, the impacts of SST-only on powerlessness are attenuated. Alternative mediating mechanism of powerlessness is examined and ruled out.

Future research should investigate other moderators that may reduce the impacts of SST on customer powerlessness. These moderators could be service-operating procedures, SST interface design, types of service situations and customer characteristics. In addition, other consequences of powerlessness, other than the negative attitude toward SST providers and intention to switch investigated here, should be investigated as well.

This research provides guidelines helping service providers to improve their customers’ SST usage experience by showing both SST familiarity and SST anthropomorphism may alleviate the negative effects of SST-only mode on customer perceived powerlessness more effectively.

This research examines the role of customers’ psychological reactions toward the SST-only mode, particularly from the perspective of power and control.

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.

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.

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.

Field inquiry and an investigation in other SST contexts or of other anthropomorphic features are needed to generalize the findings.

Service providers targeting powerful consumers should consider the social presence of others when incorporating anthropomorphic features into their SST facilities.

This study is the first to examine consumer responses to service failures in an anthropomorphic SST context.

Service robots can offer benefits to consumers (e.g. convenience, flexibility, availability, efficiency) and service providers (e.g. cost savings), but a lack of trust hinders consumer adoption. To enhance trust, firms add human-like features to robots; yet, anthropomorphism theory is ambiguous about their appropriate implementation. This study therefore aims to investigate what is more effective for fostering trust: appearance features that are more human-like or social functioning features that are more human-like.

In an experimental field study, a humanoid service robot displayed gaze cues in the form of changing eye colour in one condition and static eye colour in the other. Thus, the robot was more human-like in its social functioning in one condition (displaying gaze cues, but not in the way that humans do) and more human-like in its appearance in the other (static eye colour, but no gaze cues). Self-reported data from 114 participants revealing their perceptions of trust, anthropomorphism, interaction comfort, enjoyment and intention to use were analysed using partial least squares path modelling.

Interaction comfort moderates the effect of gaze cues on anthropomorphism, insofar as gaze cues increase anthropomorphism when comfort is low and decrease it when comfort is high. Anthropomorphism drives trust, intention to use and enjoyment.

To extend human–robot interaction literature, the findings provide novel theoretical understanding of anthropomorphism directed towards humanoid robots.

By investigating which features influence trust, this study gives managers insights into reasons for selecting or optimizing humanoid robots for service interactions.

This study examines the difference between appearance and social functioning features as drivers of anthropomorphism and trust, which can benefit research on self-service technology adoption.

Artificial intelligence (AI) has been widely used as a financial technology (fintech) in the mobile banking (M-banking) domain. However, in the literature, how AI affects users' perceptions of social support and the users' satisfaction and continuance intention (CI) remains unknown. To fill this gap, the two core characteristics of AI, perceived intelligence (PI) and perceived anthropomorphism (PA), are combined with social support theory (SST) (including informational support (IS) and emotional support (ES)) to develop a research model to investigate how PI and PA affect IS and ES, which in turn affect users’ M-banking satisfaction and CI.

This study adopted a random probability sampling method to collect a total of 360 valid responses to verify the proposed model. Partial least squares (PLS) was employed for data analysis.

The results showed that PI and PA both have a significant positive impact on consumers' perception of social support (IS and ES). IS was a direct driver of satisfaction and CI. Surprisingly, although ES was positively associated with satisfaction, the study found that higher levels of ES will decrease CI. This study exposed how AI affects consumers’ satisfaction and CI through SST, and the role of AI in M-banking applications has been further confirmed.

This study expanded the SST to creatively integrate with AI features to reveal the impact of PI and PA on IS and ES, which in turn influence users' M-banking usage.

Service providers and consumers alike are increasingly adopting artificial intelligence service agents (AISA) for service. Yet, no service quality scale exists that can fully capture the key factors influencing AISA service quality. This study aims to address this shortcoming by developing a scale for measuring AISA service quality (AISAQUAL).

Based on extant service quality research and established scale development techniques, the study constructs, refines and validates a multidimensional AISAQUAL scale through a series of pilot and validation studies.

AISAQUAL contains 26 items across six dimensions: efficiency, security, availability, enjoyment, contact and anthropomorphism. The new scale demonstrates good psychometric properties and can be used to evaluate service quality across AISA, providing a means of examining the relationships between AISA service quality and satisfaction, perceived value as well as loyalty.

Future research should validate AISAQUAL with other AISA types, as they diffuse throughout the service sector. Moderating factors related to services, the customer and the AISA can be investigated to uncover the boundary conditions under which AISAQUAL is likely to influence service outcomes. Longitudinal studies can be carried out to assess how ongoing use of AISA can change service outcomes.

Service managers can use AISAQUAL to effectively monitor, diagnose and improve services provided by AISA while enhancing their understanding of how AISA can deliver better service quality and customer loyalty outcomes.

Anthropomorphism is identified as a new service quality dimension. AISAQUAL facilitates theory development by providing a reliable scale to improve the current understanding of consumers’ perspectives concerning AISA services.

The purpose of this paper is to test the effect that anthropomorphic framing (i.e. robot vs automatic machine) has on consumers’ responses in case of service failure. Specifically, the authors hypothesize that consumers hold an unconscious association between the word “robot” and agency and that the higher agency attributed to self-service machines framed as robots (vs automatic machines) leads, in turn, to a more positive service evaluation in case of service failure.

The authors have conducted four experimental studies to test the framework presented in this paper. In Studies 1a and 1b, the authors used an Implicit Association Test to test for the unconscious association held by consumers about robots as being intelligent machines (i.e. agency). In Studies 2 and 3, the authors tested the effect that framing technology as robots (vs automatic machines) has on consumers’ responses to service failure using two online experiments across different consumption contexts (hotel, restaurant) and using different dependent variables (service evaluation, satisfaction and word-of-mouth).

The authors show that consumers evaluate more positively a service failure involving a self-service technology framed as a robot rather than one framed as an automatic machine. They provide evidence that this effect is driven by higher perceptions of agency and that the association between technology and agency held by consumers is an unconscious one.

This paper investigates a novel driver of consumers’ perception of agency of technology, namely, how the technology is framed. Moreover, this study sheds light on consumers’ responses to technology’s service failure.

The purpose of this paper is to explore what drives customer acceptance of frontline service robots (FSR), as a result of their interaction experiences with FSR in the context of retail banking services.

Applications of the unified theory of acceptance and use of technology and service robot acceptance model frame the exploration of customers’ interaction experiences with physical FSR to explain acceptance. A thematic analysis of information obtained through observations, focus groups and participant interviews was applied to identify themes.

This study identifies 16 dimensions that group into five main themes that influence customer acceptance of FSR in retail banking services: (1) utilitarian aspect, (2) social interaction, (3) customer responses toward FSR, (4) customer perspectives of the company brand and (5) individual and task heterogeneity. Themes 1 and 2 are labeled confirmed themes based on existing theoretical frameworks used; themes 3–5 are additional themes.

This study provides actionable suggestions to allow managers to reflect on their strategy and consider ways to design and improve the delivery of services that involve FSR.

This study adds to our limited knowledge of how human-robot interaction research in robotics translates to a relatively new research area in frontline services and provides a step toward a comprehensive FSR acceptance model.

This paper aims to examine the interaction effect among the subjective social class, service level and recovery type on post-failure service evaluations (recovery satisfaction and willingness to spread positive word-of-mouth).

A total of 270 US consumers were recruited via Amazon MTurk. This study adopted a 2 (Subjective social class: high vs low) × 2 (Service level: luxury vs mid-scale) × 2 (Recovery type: customer self-recovery vs joint recovery) between subjects’ factorial design using a scenario-based survey method.

The results from the three-way multivariate analysis of covariance confirmed that a joint recovery is ineffective for high subjective social class individuals in a mid-scale hotel setting. Moreover, the moderated mediation analysis revealed that this tendency can be explained by high subjective social class individuals’ tendency to attribute blame externally to self-service technologies (SSTs).

The results of this study suggest that mid-scale hotels should deploy employees in the SST service area based on the profile of their main customers. If a mid-scale hotel is positioning itself to appeal to high subjective social class customers, then employees should be aware of the fact that customers may not be highly satisfied if they receive assistance.

This study expands the current knowledge on customers’ psychological differences based on subjective social class. Furthermore, the findings of this study contribute to academia by providing evidence of external attribution among high subjective social class individuals.

This study aims to investigate the effects of consumers’ motivations on behavioral intention to use self-service technology (SST) in airline services exploring multimediating effects of flow experience and SST evaluation in Stimulus-Organism-Response model.

An online survey was conducted with quota sampling based on age group who had experiences of SSTs usage at the Incheon International Airport in South Korea. A total of 286 responses were used for the data analysis with structural equation modeling to examine the proposed model and the multimediating effects.

The results showed that consumers’ intrinsic and extrinsic motivations had positive impacts on their flow experience, SST evaluation and behavioral intention to use airline SSTs. Their flow experience had a positive influence on SST evaluation, and their SST evaluation influenced behavioral intention to use airline SSTs. Consumers’ flow experience and SST evaluation mediated the relationship between intrinsic and extrinsic motivations and behavioral intention to use airline SSTs.

It is important for customers to perceive extrinsic motivation such as speed, convenience and efficiency for the smooth process of airline SSTs at the airport. SST evaluation plays a key role to increase customers’ behavioral intention to use airline SSTs.

This study extends the understanding of consumers’ intrinsic and extrinsic motivations, flow experience, SST evaluation and behavioral intentions to use SST in airline services by building on a model. Especially, findings of the (multi)mediating effects of customers’ perceived flow and SST evaluation on the relationship between motivations and behavioral intention to use airline SSTs might provide better guidelines for managers to incorporate SSTs, to increase operational efficiency and to boost customer experiences.

Recent service studies suggest focusing on the service triad consisting of technology-customer-frontline employee (FLE). This study empirically investigates the role of service robots in this service triad, with the aim to understand the augmentation or substitution role of service robots in driving utilitarian and hedonic value and ultimately customer repatronage.

In study 1, field data are collected from customers (n = 108) who interacted with a service robot and FLE in a fast casual dining restaurant. Structural equation modeling (SEM) is used to test hypotheses about the impact of service robots' anthropomorphism, social presence, value perceptions and augmentation opportunities in the service triad. In study 2, empirical data from a scenario-based experimental design (n = 361) complement the field study by further scrutinizing the interplay between the service robot and FLEs within the service triad.

The study provides three important contributions. First, the authors provide empirical evidence for the interplay between different actors in the “customer-FLE-technology” service triad resulting in customer repatronage. Second, the empirical findings advance the service management literature by unraveling the relationship between anthropomorphism and social presence and their effect on perceived value in the service triad. And third, the study identifies utilitarian value of service robots as a driver of customer repatronage in fast casual dining restaurants.

The results help service managers, service robot engineers and designers, and policy makers to better understand the implications of anthropomorphism, and how the utilitarian value of service robots can offer the potential for augmentation or substitution roles in the service triad.

Building on existing conceptual and laboratory studies on service robots, this is one of the first field studies on the service triad consisting of service robots – customers – frontline employees. The empirical study on service triads provides evidence for the potential of FLEs to augment service robots that exhibit lower levels of functional performance to achieve customer repatronage. FLEs can do this by demonstrating a high willingness to help and having excellent interactions with customers. This finding advocates the joint service delivery by FLE – service robot teams in situations where service robot technology is not fully optimized.