Search results

Science fiction analogies have been shown to be an effective vehicle for disseminating scientific knowledge and building a better understanding of scientific principles. Toward this end, this study aims to use the Star Trek universe as a lens in an effort to remove barriers to understanding the science of service research.

This study synthesizes research on using science fiction narratives in sparking dialogue within and beyond scientific communities, draws parallels between the Star Trek universe and the service research domain and uses these insights to identify pertinent ways forward.

In the service research domain, science fiction analogies and dramaturgical metaphors can challenge researchers to reflect beyond the domain’s traditional boundaries. In fact, the Star Trek universe lends itself as visionary backdrop to assess leadership principles, understand the evolution of scientific paradigms and inspire future service research.

This article contributes to the service research literature by introducing the notion of drawing on science fiction analogies to facilitate key dialogues in a scientific context and demonstrates how such analogies can be used to provide guidance in moving the service research discipline forward.

In spite of offering clear benefits and increased availability, relatively few service research studies rely on eye-tracking. Therefore, this paper aims to assist service researchers in harnessing the vast capabilities of eye-tracking technologies and methods for their own inquiries.

In addition to systematically reviewing extant research in the service domain and the wider marketing field with respect to the fundamentals and practices of eye-tracking, this paper presents a concise, empirical eye-tracking demonstration. These contributions suggest future outlooks for how to incorporate eye-tracking more effectively in service research.

The systematic literature review informs a comprehensive framework for integrating eye-tracking in service research that comprises research question focus regarding higher-order psychological constructs of interest, appropriate study settings, sample composition, optimal eye-tracking equipment and operationalization considerations.

By establishing a common ground and recommended uses of eye-tracking for service research, this study equips service scholars with the knowledge they need regarding eye-tracking fundamentals, common practices and future outlooks. A simple, empirical example further demonstrates some options for unlocking the unique capabilities of eye-tracking in service research and uncovering the complexities inherent to service experiences and other core service concepts.

This paper compiles and contextualizes insights from existing eye-tracking research, which it uses to draw important lessons for deploying eye-tracking in service domains.

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.

Service robots are now an integral part of people's living and working environment, making service robots one of the hot topics for service researchers today. Against that background, the paper reviews the recent service robot literature following a Theory-Context-Characteristics-Methodology (TCCM) approach to capture the state of art of the field. In addition, building on qualitative input from researchers who are active in this field, the authors highlight where opportunities for further development and growth lie.

The paper identifies and analyzes 88 manuscripts (featuring 173 individual studies) published in academic journals featured on the SERVSIG literature alert. In addition, qualitative input gathered from 79 researchers who are active in the service field and doing research on service robots is infused throughout the manuscript.

The key research foci of the service robot literature to date include comparing service robots with humans, the role of service robots' look and feel, consumer attitudes toward service robots and the role of service robot conversational skills and behaviors. From a TCCM view, the authors discern dominant theories (anthropomorphism theory), contexts (retail/healthcare, USA samples, Business-to-Consumer (B2C) settings and customer focused), study characteristics (robot types: chatbots, not embodied and text/voice-based; outcome focus: customer intentions) and methodologies (experimental, picture-based scenarios).

The current paper is the first to analyze the service robot literature from a TCCM perspective. Doing so, the study gives (1) a comprehensive picture of the field to date and (2) highlights key pathways to inspire future work.

Service technologies are transforming the business landscape rapidly. This paper aims to explore the current scope of research in regard to emerging service technologies by comparing the content of articles in academic journals with practitioner-oriented publication outlets.

A total of 5,118 technology-related articles from service journals, service conferences, business journals and business magazines are analyzed. Text-mining on abstracts is used for the thematic and semantic analysis. Common research themes and their relationships are depicted in a two-dimensional structured network. Further, the sample is analyzed regarding various technologies mentioned in the Gartner Hype Cycle.

The paper reveals differences in academic and business perspectives in regard to service technologies. In comparison to business journals, scientific service research is more focused on customer-related aspects of technology. Service research has a less concrete focus on technology than in business publications. Still, service conference articles show a broader scope of emerging service technologies than academic journal articles.

Scientific research should focus on more concrete service technologies. Business magazines serve as a good source for that and the paper identifies several promising new technology fields.

Although business magazines cover significantly more concrete service technologies, they miss the integrated perspective that academic articles usually offer. Academia can help business to better align concrete technologies with different internal and external perspectives.

This paper serves as an introduction to the special issue Future Service Technologies. Additionally, a quantitative study of recent service technology research serves as a reality check for academic researchers on business reality and provides research and practical recommendations.

Service robots are gradually becoming more anthropomorphic and intelligent. This research aims to investigate how anthropomorphic service robots with different levels of intelligence affect their human counterparts.

Two between-subject experimental studies were used to test whether different levels of service robot anthropomorphism with different levels of intelligence influence employees' morale and resistance to service robots.

Study 1 shows that the effect of service robot anthropomorphism (low vs. high) on employees' resistance and morale is mediated by perceived job-security threat. Study 2 validates this mediating effect and shows that it is moderated by the type of AI (mechanical vs. analytical). Specifically, when exposed to mechanical AI-powered service robots, employees exhibit a higher perceived job-security threat toward robots with a high (vs. low) degree of anthropomorphism. This moderating effect is not observed when employees are exposed to analytical AI-powered service robots. This moderated mediation effect is also found for the signing of a petition as the behavioral outcome.

Service firms considering the adoption of mechanical AI-powered service robots should choose a low (vs. high) anthropomorphic robot to reduce the sense of job-security threat felt by human employees, which subsequently increases their acceptance. However, if analytical AI-powered service robots with are to replace their human employees, the degree of anthropomorphism becomes irrelevant.

This is the first empirical study to explore how anthropomorphic service robots can influence human employees' evaluations and behaviors.

This paper aims to explore theme park visitors’ attitudes toward interacting with robots and investigated the qualities and functions of robotic servers and their influence on customers’ loyalty. A structural equation modeling approach was used to identify the complex relationships among variables in the entire network.

An online survey randomly assigned respondents to four different robotic server scenarios with robots that look like humans, animals, cartoon characters and anime features. The influence of robot types was investigated by manipulating robot type with four different pictures; however, the data were analyzed with a structural equation modeling model to identify the complex relationships rather than one-way analysis of variance to identify influences of robot types on different variables in separate analyzes.

The data collected from the 385 experienced theme park visitors revealed that perception of robots with human orientation and safety qualities had the strongest effect on the perceived robotic functionality, while emotions and co-creation qualities hardly had any effect on the perceived functionality, which included utilitarian rather than experiential functions such as excitement. Human orientation qualities, regardless of the specific robotic design, had a significant impact on perceived robotic functionality. The study also revealed a strong positive influence of perceived robotic functionality on customer loyalty.

The debate of whether or not to introduce and blend the growing robotic technology into the theme park experience is in its infancy. The study contributes to the theory of how robotics qualities and functions can augment customer loyalty.

This study aims to investigate the effects of two types of expertise (self-service technology and service type) on the disconfirmation of customers’ expectations and the use-related outcomes of technology-based self-service (TBSS).

This empirical study pertains to the mandatory use of a national public transport chip card in The Netherlands based on a sample of 267 users of this TBSS.

The findings show that technology experts experienced a less positive disconfirmation of expectations and reported less positive evaluations of the new self-service than technology novices. Technology experts also showed lower intentions to engage in positive word-of-mouth than technology novices. The evaluation of the self-service by technology novices is more positive for those that are service experts as compared to service novices, while the evaluation by technology experts is more negative for those that are service experts as compared to service novices.

This study provides insight into how different types and levels of customer expertise affect individuals’ assessments of a TBSS upon its mandatory use.

For marketing managers and public policy-makers, understanding the multifaceted role of customer expertise enables more effective market segmentation and targeting, thus improving implementation of TBSS.

This research suggests that customers’ technology and service expertise have some counter-intuitive effects on TBSS use-related outcomes.

Despite the proliferation of retail loyalty programs, little is known about differences in the behavior patterns of the consumers within them. There may be several unique segments within a loyalty program, and significant managerial implications may accrue from identification of these segments and analysis of differences among them. This paper aims to investigate the potential for deriving meaningful, managerially relevant customer segments within a retail loyalty‐type program.

Data from the one‐year test of a retail loyalty card program by a major US retailer were used to derive patronage‐based segments and explore determinants of segment differences and strategy implications. A numerical taxonomy process was used to group 57,650 loyalty‐card program members into distinct segments. Cluster analysis was used to generate a range of potential market structures on a set of managerially relevant variables. The most appropriate market structure was selected using scree testing and discriminant analysis. Each of the resulting six segments was named profiled. Finally, a set of patronage‐related variables was regressed on to the clusters using multinomial logistic regression.

The results indicate that, at least for this card program, clearly defined segments with unique patronage profiles do exist both descriptively and statistically; only a small percentage of loyalty card program members demonstrate behaviors that can be considered truly loyal; and different marketing strategies appear appropriate to try and increase patronage among the segments based on their profile characteristics.

This study should prove valuable to academic researchers as well as managers. It is the first effort to generate meaningful, rigorously derived segments within a large loyalty program. It shows that behavioral variables can yield managerially relevant segments, and that the segments appear to call for individualized strategy initiatives.

This paper aims to examine the effect of high-involvement work systems (HIWSs) on completing work and avoiding distraction as two dimensions of presenteeism. It also investigates competence as a mediator of the effect of HIWS on presenteeism.

Data were collected from 343 Bangladeshi bank employees using an online survey. The partial least squares-structural equation modelling (PLS-SEM) was employed to assess the abovementioned linkages.

The findings demonstrate HIWS directly avoid distraction but do not significantly impact the completing work dimension of presenteeism. The findings also indicate that competence mediates the effect of HIWS on completing work but not on avoiding distraction.

Drawing on the job demands-resources (JD-R) model, this study empirically demonstrates the contrasting role of HIWS in completing work and avoiding distraction related to presenteeism. It also provides a novel perspective on the unexplored mediating mechanism of competence on the relationship between HIWS and presenteeism and offers new directions for HIWS and presenteeism research.