Journal of Service Management最新文献

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.

Purpose

Following a contingency approach, this paper aims to understand when service automation can enhance or destroy value for customers in the frontline by (1) providing a comprehensive overview of factors that influence the value co-creation/co-destruction potential of service automation and (2) zooming in on the combination of service contexts and service tasks to develop research propositions.

Design/methodology/approach

This paper uses a grounded theory approach based on qualitative data from multiple methods (i.e. a diary study with follow-up interviews, a consultation of academic experts and a storyboard study) as well as a systematic literature review to develop (1) a Framework of Automated Service Interactions (FASI) and (2) a contingency model for service tasks/contexts.

Findings

This paper presents a framework which gives an overview of factors influencing the value co-creation/co-destruction potential of service automation. The framework discerns between three types of factors: service design (i.e. controllable and manageable by the organization), static contingency (i.e. uncontrollable and fixed) and dynamic contingency (i.e. uncontrollable and flexible). Furthermore, the paper presents a contingency model based on the combination of service contexts and service tasks which results in seven research propositions.

Originality/value

This paper brings structure in the fragmented field of service automation. It integrates and summarizes insights regarding service automation and sheds more light on when service automation has the potential to create or destroy value in the organizational frontline.

Purpose

Understanding the outcomes of co-creation (CC) in healthcare is increasingly gaining multidisciplinary scientific interest. Although more and more service management scholars have pointed out the benefits of cross-fertilization between the various research fields, the literature on this topic is still scattered and poorly integrated. This study aims to summarize and integrate multiple strands of extant knowledge CC by identifying the outcomes of health CC and the determinants of these outcomes and their relationships.

Design/methodology/approach

A structured literature review was conducted per PRISMA guidelines. A total of 4,189 records were retrieved from the six databases; 1,983 articles were screened, with 161 included in the qualitative thematic analysis.

Findings

This study advances a comprehensive framework for healthcare CC based on a thorough analysis of the outcomes and their determinants, that is, antecedents, management activities and institutional context. Extant research rarely evaluates outcomes from a multidimensional and systemic perspective. Less attention has been paid to the relationship among the CC process elements.

Research limitations/implications

This study offers an agenda to guide future studies on healthcare CC. Highlighting some areas of integration among different disciplines further advances service literature.

Practical implications

The framework offers an operational guide to better shape managerial endeavors to facilitate CC, provide direction and assess multiple outcomes.

Originality/value

This is the first extensive attempt to synthesize and integrate multidisciplinary knowledge on CC outcomes in healthcare settings by adopting a systematic perspective on the overall process.

Purpose

Photos are powerful tools to attract individuals’ attention and convey service experiences. Yet exactly how visual cues in a photo contribute to the perceptions of the staged servicescape, and how these perceptions inspire online booking/reservation behaviors, remains underexplored. Addressing the gap, this study aims to uncover (1) how perceptual information mediated by an online photo contributes to the formation of consumers' holistic perceptions of the service environment and (2) how such consumers' holistic perceptions further influence customers' online purchasing behaviors.

Design/methodology/approach

This research adopts an innovative crowdsourcing approach and refers to field data on consumers' online hotel booking behaviors to examine relationships among inferred servicescape dimensions, consumers' holistic perceptions of the mediated servicescape and their actual online booking/reservation behaviors (e.g. page-view and meta-click behaviors).

Findings

Confirmatory factor analysis and path analysis indicated that five mediated servicescape dimensions (i.e. color, lighting, furnishings, layout and style) contribute significantly to consumers' perceptions of the mediated servicescape (CPMS) and exert different impacts on CPMS. Connecting the crowdsourced rating and consumer behavioral data, CPMS is found to influence consumers' aggregated page-view and meta-click behavior, especially in the US market.

Originality/value

Building upon servicescape theory, the medium theory and the online booking literature, this research proposes a novel conceptual framework of CPMS to theorize the process by which visual cues in online photos contribute to CPMS and subsequent online purchase behaviors. Findings from this research extend Bitner's servicescape framework to mediated service contexts and provide practical implications for promoting service businesses.

Purpose

Profound economic, social, political and environmental problems are cascading across modern civilization in the 21st century. Many of these problems resulted from the prevailing effects of rational economics focused on profit maximization. The purpose of this paper is to reframe the mindsets of scholars, firms and public policy decision-makers through enabling Service Thinking practices.

Design/methodology/approach

Marketing, service and allied discipline literature are synthesized, and Raworth's (2018) Doughnut Economics model is adapted to conceptualize and construct the Service Thinking framework.

Findings

Service Thinking is defined as a just, mutualistic and human-centered mindset for creating and regenerating service systems that meet the needs of people and the living planet. Service Thinking is enabled by five practices (service empathy, service inclusion, service respect, service integrity and service courage).

Practical implications

Actionable implications are presented for service ecosystem entities to uplift well-being, enhance sustainability and increase prosperity.

Originality/value

Service Thinking practices are shaped by influencing forces (marketing, education and law/policy) and operant service ecosystem resources (motivation–opportunity–ability or MOA), which makes Service Thinking applicable to four economic entities in the service ecosystem: the household, the market, the state and the commons.

Purpose

This article draws on a reasoned action perspective and the two fundamental dimensions (i.e. warmth and competence) of the Stereotype Content Model (SCM) to analyze customers' chatbot-related attitudes and usage intentions in service retailing. The authors investigate how chatbot, customer, and contextual characteristics, along with perceptions of chatbot warmth and competence, shape customers' chatbot-related attitudes. Furthermore, the authors analyze whether the customer generation or the service context moderates the relationship between chatbot-related attitudes and usage intentions.

Design/methodology/approach

The results are based on two studies (N = 807). Study 1 relies on a 2 (chatbot communication style: high vs low social orientation) × 2 (customer generation: generation X [GenX] vs generation Z [GenZ]) × 2 (service context: restaurant vs medical) between-subjects design. Study 2 relies on a similar number of respondents from GenX and GenZ who answered questions on scheduling a service with either the dentist or the favorite restaurant of the respondents.

Findings

GenZ shows more positive attitudes toward chatbots than GenX, due to higher perceptions of warmth and competence. While GenZ has similar attitudes toward chatbots with a communication style that is high or low in social orientation, GenX perceives chatbots with a high social orientation as warmer and has more favorable attitudes toward chatbots. Furthermore, the positive effect of chatbot-related attitudes on usage intentions is stronger for GenX than GenZ. These effects do not significantly differ between the considered contexts.

Originality/value

This research formulates future directions to stimulate debate on factors that service retailers should consider when employing chatbots.

Purpose

Employing a service-profit chain (S-PC) framework, this manuscript investigates the relationship between employee engagement (EE) and customer engagement (CE) within service contexts and explores how a mediating mechanism, service employee work performance (SEWP), links EE with CE.

Design/methodology/approach

Meta-analytic procedures ascertain the magnitude of the relationship between EE and SEWP (k = 102, ρ^ = 0.45) and between SEWP and three dimensions of CE: customer purchases (k = 42, ρ^ = 0.47), customer knowledge (k = 4, ρ^ = 0.33) and customer influence (k = 7, ρ^ = 0.42). The current meta-analysis reports an effect size for the EE-overall SEWP relationship nearly 1.50 times greater than related extant meta-analyses.

Findings

Results suggest SEWP, consisting of service employee task performance and contextual performance, serves as an important intervening mechanism between EE and CE by considering nine dimensions of SEWP. Such findings suggest that to maximize SEWP, service employees must go beyond simply being satisfied in their work roles; instead, service employees must feel energized, find fulfillment and meaning and be engrossed in their work to maximize the service they provide to customers.

Originality/value

This research extends previous meta-analytic efforts, bridges the multi-disciplinary gap between EE and CE research, provides an empirical link allowing for informed decision-making for managers and stakeholders, underscores the importance of service employees surpassing required job responsibilities to meet and exceed customer needs and suggests an agenda for future service research integrating EE and CE.

Purpose

The study aims to explore how segmentation as a methodology can be adapted to the healthcare context to provide a more nuanced understanding of the served population and to facilitate the design of patient-centric services.

Design/methodology/approach

The study was based on a collaborative project with a national healthcare organization following the principles of action design research. The study describes the quantitative segmentation performed during the project, followed by a qualitative interview study of how segments correspond with patient behaviors in an actual healthcare setting, and service design workshops facilitated by segments. A number of design principles are outlined based on the learnings of the project.

Findings

The segmentation approach increased understanding of patient variability within the service provider organization and was considered an effective foundation for modular service design. Patient characteristics and life circumstances were related to specific patterns of health behaviors, such as avoidance or passivity, or a persistent proactivity. These patterns influenced the patients' preferred value co-creation role and what type of support patients sought from the care provider.

Practical implications

The proposed segmentation approach is immediately generalizable to further healthcare contexts and similar services: improved understanding of patients, vulnerable patients in particular, improves the fit and inclusivity of services.

Originality/value

The segmentation approach to service design was demonstrated to be effective in a large-scale context. The approach allows service providers to design service options that improve the fit with individual patients' needs for support and autonomy. The results illuminate how patient characteristics influence health and value co-creation behaviors.