Journal of Service Management最新文献

Purpose

The current research aims to introduce the concept of frontline employee (FLE) vulnerability and examine its antecedents and consequences using a framework grounded in Job Demands-Resource theory (JD-R).

Design/methodology/approach

A systematic review and meta-analysis guided by PRISMA is utilized to review previous FLE literature (204 studies) and develop a conceptualization of FLE vulnerability. The meta-analysis then examines the antecedents and consequences of FLE vulnerability and provides generalizable findings including the identification of critical areas for future research.

Findings

The meta-analysis provided support for the proposed conceptualization of FLE vulnerability. Specifically, job demands and individual characteristics were observed to increase FLE vulnerability, conceptualized as an individual's susceptibility to experience state-based harm. Job resources were seen to minimize FLE susceptibility to vulnerability. FLE vulnerability was also observed to significantly strengthen negative outcomes and decrease positive outcomes.

Originality/value

This research addresses calls for greater investigation into how negative events may impact FLE vulnerability. This is achieved by defining FLE vulnerability as a concept which represents one's susceptibility to experience state-based harm as a result of job and/or individual characteristics. The research also provides greater understanding of the health impairment process within JD-R through the introduction and expanded definition of harm that moves beyond physical considerations to also include emotional and psychological harms. Finally, the research adds to the small body of meta-analytic research in the field of service management.

Purpose

Online trolling is a detrimental behavior for consumers and service businesses. Although online trolling research is steadily increasing, service research has yet to thoroughly explore how this behavior impacts businesses. Further, the role of bystanders, consumers who witness a victim (business) being trolled, remains largely unexplored. The purpose of this paper is thus to introduce online trolling to the service literature and begin to identify when (types of online troll content) and why (empathy and psychological reactance) bystanders are likely to intervene and support a service business being trolled by posting positive eWOM.

Design/methodology/approach

This research uses a two-study (Study 1 n = 313; Study 2 n = 472) experimental design with scenarios of a service business experiencing online trolling (moral versus sadistic). Participants' responses as bystanders were collected via an online survey.

Findings

Results reveal bystanders are more likely to post positive eWOM to support a service organization experiencing sadistic trolling. Psychological reactance is shown to mediate the relationship between trolling type and positive eWOM. Further, spotlight analysis demonstrates that bystanders with higher levels of empathy are more likely to post positive eWOM, whereas bystanders with low levels of empathy are likely to have a significantly higher level of psychological reactance.

Originality/value

This research is among the first in the service literature to specifically explore the consumer misbehavior of online trolling. Further, it provides new perspectives to online trolling by probing the role of bystanders and when and why they are likely to support service organizations being trolled.

Purpose

The human service triad (i.e. the relationship between the customer, frontline employee (FLE) and managerial employee) experiences a range of well-being challenges when faced with the introduction of service robots. Despite growth in service robot scholarship, understanding of the well-being challenges affecting the human service triad remains fragmented. Hence, the purpose of this paper is to synthesise the literature and offer a research agenda aligned with the proposed Robotic-Human Service Trilemma. By taking a job performance approach (which considers the actions, behaviours and outcomes linked to organisational goals), the Robotic-Human Service Trilemma conceptualises three well-being challenges (intrusion, sideline and interchange). These challenges are realised via the realistic capabilities and constraints of service robot implementation.

Design/methodology/approach

This research relies on a systematic review of all disciplines concerning service robots. In total, 82 articles were analysed using thematic coding and led to the development of the Robotic-Human Service Trilemma and research agenda.

Findings

The analyses reveal the Robotic-Human Service Trilemma consists of three challenges: intrusion, sideline and indifference. The findings demonstrate that FLEs are required to counterbalance the constraints of service robots, leading to an uneven well-being burden within the human service triad. This paper suggests a research agenda for investigation of the challenges that underpin the Robotic-Human Service Trilemma.

Originality/value

Through the conceptualisation of the Robotic-Human Service Trilemma, this study is the first to explore how states of well-being equilibrium exist within the human service triad and how these states are challenged by service robots. The authors present a balanced centricity perspective to well-being that contrasts previous trade-off approaches and that enhances the body of service robot literature with a well-being lens.

Purpose

The purpose of this work is (1) to supply a framework of actors in sport sponsorship and articulate the service relationships that support these partnerships and (2) to propose research questions in this space that are unaddressed and forward-looking.

Design/methodology/approach

Sponsorship is part of a complex network of actors and service relationships found in sport. The sports team, activity, or event is a sport property, often with long-term and dynamic service relationships. The authors consider how a sponsor's relationship with the sport property intersects with organizing bodies, venues, communities and society. The authors identify clusters of actors that interact with and influence other clusters (e.g. governing bodies, media, host community and venue/teams/fans) within an ecosystem, paying special attention to aspects of co-creation and co-destruction and the feedback loops that cause them.

Findings

Through this analysis, the authors identify areas of needed research at the intersection of sport sponsorship and service. The model synthesizes the literature from service-dominant logic, sports, sponsorship, systems thinking and co-creation/co-destruction research areas. Using the model and relevant cases, the authors can better understand the complexities of sport service relationships and advance research at the intersection of sport sponsorship and service.

Originality/value

This is the first sport sponsorship service ecosystem model. It is also the first integration of systems thinking with constructs in sport sponsorship and services.

Purpose

Social factors, such as fellow spectators in a stadium or other fans sharing their experiences on online platforms, play a dominant role in spectator sport consumption. This conceptual article sets out to achieve three objectives: classify customer-to-customer (C2C) interactions in the sport fan context, develop a framework that links the classification of interactions to relevant outcomes and identify areas for related future research.

Design/methodology/approach

The authors integrate conceptual and empirical contributions on C2C interactions in the service, marketing and sport management literature.

Findings

The article proposes classifying C2C interactions into synchronous multi- and uni-directional interactions as well as asynchronous multi- and uni-directional interactions. The C2C interaction framework (C2CIF) proposes that such C2C interactions have hedonic, social, symbolic and utilitarian value outcomes. It further suggests that physiological, psychological and social processes underlie the co-creation or co-destruction of value and identifies contingencies at both the fan and the brand level.

Originality/value

Based on the C2CIF, we identify relevant topics for future research, in particular relating to technology-supported and virtual interactions among fans, fan-to-fan interactions across different countries and cultural backgrounds and fan-to-fan interactions as a way to reduce societal concerns.

Purpose

Actor engagement (AE) literature shows inconsistent understandings of engagement intensity. However, a holistic picture of the nature of AE intensity is foundational to advance empirical AE models and measurement frameworks. This paper provides a nuanced understanding of what engagement intensity is and how it unfolds on different network levels.

Design/methodology/approach

This conceptual study draws from a literature review and offers a comprehensive classification scheme of AE intensity. The literature review extends beyond marketing and service research and draws from the etymology of AE intensity in management and social science, specifically, the fields of student, employee and civic engagement.

Findings

The classification scheme clarifies that AE intensity at the individual level refers to actors' affective and cognitive tone and varying magnitudes (i.e. efforts, duration, activeness) of resource investments. At the dyad level, AE intensity represents relational strength, and at the network level, it refers to the degree of connectedness in the network.

Research limitations/implications

The research reconciles conceptual inconsistencies in the AE literature. Our classification scheme goes beyond the individual actor and actor–actor dyad and offers a holistic overview of possible ways to operationalize AE intensity in networks.

Practical implications

The classification scheme can be used as a strategic checklist to include AE intensities of individual actors (e.g. customers and employees), relationships between these actors and network connectedness, when further developing engagement measurement tools and benchmarks.

Originality/value

This is the first study providing a comprehensive understanding of AE intensity from an individual, dyadic and network perspective.

Purpose

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.

Design/methodology/approach

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.

Findings

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.

Practical implications

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.

Originality/value

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

Purpose

The service recovery literature provides little guidance to firms on how users of self-service technology (SST) perceive assistance provided by human and non-human service agents following a service obstacle. This research responds by addressing two important research questions about SST recovery: (1) how are perceptions of assistance provided following a service obstacle influenced by a customer's psychological needs? and (2) does supporting the psychological needs of customers positively impact continuance intentions following a service obstacle?

Design/methodology/approach

Data are collected to address the research questions via five experiments that explore how assistance provided by a non-human (vs human vs no assistance) service agent contributes to perceptions of psychological support and continuance intentions following a service obstacle while volitionally using SST.

Findings

The results show that while users of SST would prefer to do so without an obstacle requiring intervention of a service agent, if assistance is required then the psychological need support elicited from a non-human service agent was vital to an effective recovery. Further, the findings highlight some boundary conditions for this relationship, with the impact of customer perceived need support on continuance intentions found to be sensitive to fit between the task and assistance provided and the complexity of the task being completed.

Originality/value

Much of the prior service recovery literature has emphasized the different types of tactics that can be used (e.g. apologizing, monetary compensation and explaining what happened), failing to appreciate the role of different types of service agents or the underlying psychological process that explain the relative merit of such tactics. The present research shows that for these tactics to influence continuance intentions, they must be provided by a relevant service agent and support a customer's psychological need for autonomy, competence and relatedness. The hypothesized impact of psychological need support on continuance intentions was also observed to be contingent upon the fit between the task and the type of assistance provided, where the level of task complexity attenuated this fit.