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The ongoing pandemic caused by the coronavirus disease 2019 (COVID-19) virus has severely influenced lives and livelihoods. As service organizations either face hibernation or continuity of their business operations, the impact of social distancing measures raises major concerns for the well-being of service employees. In this paper, the authors develop a conceptual framework to examine how different social distancing practices impact an organization's service continuity or service hibernation, which in turn affects different dimensions of their employee subjective well-being during the COVID-19 pandemic.

The authors draw on macroeconomic data and industrial reports, linking them to theoretical concepts to develop a conceptual framework and a research agenda to serve as a starting point to fully understand the impact of this pandemic on employee well-being.

This article develops an overarching framework and research agenda to investigate the impact of social distancing practices on employee well-being.

The authors propose two opposing business concepts – service continuity and service hibernation – as possible responses to social distancing measures. By bridging different theoretical domains, the authors suggeste that there is a need to holistically examine macro-, meso- and micro-level factors to fully understand the impact of social distancing–related measures on employee well-being.

How can some companies be the innovation leader in their industry over prolonged periods of time, whereas others cannot? The purpose of this study is to understand a firm’s capability to be a successful serial innovator and to generate a constant stream of industry-leading innovations.

The paper uses a longitudinal case study approach to gain an understanding of what and how Singapore Airlines sustained service innovation for over 30 years. The study uses triangulation, whereby the core data from in-depth interviews with senior and middle management and frontline employees were complemented with academic research, case studies, annual reports, observations and archival documents. In total, 240 single-spaced pages of interview transcripts with over 130,000 words were analyzed and coded using MAXQDA for identifying repeated patterns of meaning.

The authors identified three key institutional foundations for service innovation: innovation climate (i.e. leadership and service culture), human capital (i.e. recruitment, training and development and engagement and incentives) and resource configurations (i.e. systems, structure and processes). These foundations enabled the organization to build the following four service innovation-related dynamic capabilities: embrace ambidexterity, institutionalize learning and knowledge integration, orchestrate collaboration and reinvent customer value. Interestingly, these institutional foundations and capabilities remained largely stable across 30 years; what changed were the contexts and specifics, not the foundations and capabilities.

Data were collected only from one company. Because of the method of thematic analysis, the generalizability of the findings needs further investigation.

This study is the first to investigate the drivers of industry-leading sustained service innovation over a prolonged period of time. The proposed framework provides a fuller and more integrated picture of sustained service innovation than past cross-sectional studies.

As service robots increasingly interact with customers at the service encounter, they will inevitably become an integral part of employee's work environment. This research investigates frontline employee's perceptions of collaborative service robots (CSR) and introduces a new framework, willingness to collaborate (WTC), to better understand employee–robot interactions in the workplace.

Drawing on appraisal theory, this study employed an exploratory research approach to investigate frontline employees' cognitive appraisal of service robots and their WTC with their nonhuman counterparts in service contexts. Data collection consisted of 36 qualitative problem-centered interviews. Following an iterative thematic analysis, the authors introduce a research framework of frontline employees' WTC with service robots.

First, this study demonstrates that the interaction between frontline employees and service robots is a multistage appraisal process based on adoption-related perceptions. Second, it identifies important attributes across three categories (employee, robot and job attributes) that provide a foundation to understand the appraisal of CSRs. Third, it presents four employee personas (supporter, embracer, resister and saboteur) that provide a differentiated perspective of how service employee–robot collaboration may differ.

The article identifies important factors that enable and restrict frontline service employees' (FSEs’) WTC with robots.

This is the first paper that investigates the appraisal of CSRs from the perspective of frontline employees. The research contributes to the limited research on human–robot collaboration and expands existing technology acceptance models that fall short to explain post-adoptive coping behavior of service employees in response to service robots in the workplace.

This empirical study examines the drivers of consumer intention to adopt wearable technology for healthcare in a South American country. Specifically, it proposes and tests a model of nonuser consumer intention to adopt fitness trackers for healthcare purpose in Chile.

This study draws on the technology acceptance framework UTAUT2 to develop and test a conceptual model of wearable technology adoption. Data were collected through an online survey applied to 470 nonusers of wearable technology in Santiago, Chile.

Findings indicate that hedonic motivation, social influence and perceived usefulness have the strongest influence on intention to adopt fitness trackers in Chile for healthcare. In addition, health motivation is an indirect predictor of consumer's intention to adopt wearable technology through its effect on perceived usefulness.

The study contributes to a better understanding of consumer intention to adopt wearable technology for healthcare objectives in a less developed country in South America. Findings are useful for wearable technology managers, retail business and public policymakers.

Despite the vast growth and importance of wearable technology for healthcare purposes, academic research considering less developed countries is scarce, especially the South American region. The proposed model and findings can extend this research gap. Theoretical and managerial implications are discussed as well as implications for public policy.

Commercial entities (e.g. health and life insurance, airlines and supermarkets) in different countries have recently begun to introduce wearable technology as part of the consumer journey and as a means of enhancing the business value chain. While a firm’s decision to adopt such new technologies as wearable devices is often based on financial factors such as return on investment, costs and impact on profits, consumers may hold a different attitude toward the value of using smart wearables and sharing their personal data as part of their business-client relationships. The purpose of this paper is to investigate consumer perceptions of and reactions to persuaded self-tracking (PST) – a practice in which businesses actively encourage consumers to monitor, collect and share personal biometric data through wearable technologies in exchange for personalized incentives and rewards.

Using a qualitative research approach and a purposeful sampling method, the authors conducted personal in-depth interviews with 24 consumers (both users and non-users of wearable devices). Interviews were recorded and transcribed, resulting in 600 pages of transcripts comprising more than 203,000 words. Data coding and analysis were facilitated by using NVivo.

Consumers’ assessment of PST is based on perceived value-in-use, privacy/security concerns and perceived fairness/justice, resulting in four types of reactions to adopt or use PST (embracing, considering, debating and avoiding). Specifically, the authors identified two individual determinants (intrinsic motivation and extrinsic motivation) and four firm-related determinants (design of wearable device, assurance, transparency and controllability) that influence consumer perceptions of PST.

Results of this study have implications for both vendors of wearable devices and firms trying to leverage smart wearables in their value chains. Identifying consumers’ perceptions, as well as barriers and enablers of acceptance, will help firms to more effectively design and develop wearable device-based services, thus gaining consumer support for using fitness trackers. The primary limitation of the study is that using a thematic analysis method diminishes the generalizability of our findings.

This study addresses an under-researched area: the integration of wearable technologies in a firm’s value chain through the lens of the consumers. This study is one of the first, according to authors’ knowledge, to investigate consumer perceptions of PST.

This paper aims to synthesize the widespread economic impact of the outbreak of COVID-19 and presents a new concept, service mega-disruptions (SMDs), which refers to fast moving market disturbances at a massive scale caused by a pandemic. The purpose of this paper is to offer a framework to recognize the impact of SMDs on service ecosystems and a call to action for service researchers in light of the COVID-19 outbreak.

This paper presents an overview of massive market disturbances that is observed across multiple service sectors based on current news reports. It then develops themes for timely and actionable research for service scholars.

The outbreak of COVID-19 demonstrates that both service industries and the service research community face a new reality, something that we are not well-prepared to handle. A new framework is needed to understand the impact of such virus outbreaks, and current service marketing concepts need to be re-investigated from a new perspective.

This paper contributes to the literature and service research community by addressing the phenomenon of SMDs by curating a framework and collection of research themes to understand what we observe and what we need to learn to do better in the future.

Retailers increasingly endeavour to implement artificial intelligence (AI) innovations, such as humanoid social robots (HSRs), to enhance customer experience. This paper investigates the interactive effect of HSR intelligence and consumers' speciesism on their perceptions of retail robots as sales assistants.

Three online experiments testing the effects of HSRs' intellectual intelligence on individuals' perceived competence and, consequently, their decision to shop at a retail store that uses HSRs as sales assistants are reported. Furthermore, the authors examine whether speciesism attenuates these effects such that a mediation effect is likely to be observed for individuals low in speciesism but not for those with high levels of speciesism. Data for all studies were collected on Prolific and analysed with SPSS to perform a logistic regression and PROCESS 4.0 (Hayes, 2022) for the mediation and moderated-mediation analysis.

The findings show that the level of speciesism moderates the relationship between HSR intellectual intelligence and perceived competence such that an effect is found for low but not for high HSR intelligence. When HSR intellectual intelligence is low, individuals with higher levels of speciesism (vs low) rate the HSR as less competent and display lower HSR acceptance (i.e. customers' decision to shop using retail robots as sales assistants).

This research responds to calls in research to adopt a human-like perspective to understand the compatibility between humans and robots and determine how personality traits, such as a person's level of speciesism, may affect the acceptance of AI technologies replicating human characteristics (Schmitt, 2019). To the best of the authors' knowledge, the present research is the first to examine the moderating role of speciesism on customer perceptions of non-human retail assistants (i.e. human-like and intelligent service robots). This study is the first to showcase that speciesism, normally considered a negative social behaviour, can positively influence individuals' decisions to engage with HSRs.

The purpose of this study is to investigate the extent to which loyalty programs can prevent switching, and how individual level cultural values impact this. Loyalty programs are designed to create switching costs, which reduce customers’ desire to leave. However, in practice, these programs are often misapplied; that is, most companies inadvertently treat all customers as equal. While ample research has examined the role of loyalty reward programs in facilitating customer loyalty, little is known about the extent to which individual-level cultural values moderate customer loyalty measures of trust and affective commitment and how this impacts the effectiveness of loyalty programs; that is, consumers’ intentions to “stick” with the program or to switch.

This study uses a quasi-experiment combined with an extensive survey to collect the data.

Based on data collected from one industrial country and four emerging countries, the results show that loyalty programs do not universally prevent switching behavior. Instead, this study finds that individual-level uncertainty avoidance and collectivist values significantly moderate the effects.

This study helps advance the understanding of how international retailers can increase their loyalty program effectiveness and reduce customer switching to competitors.

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.