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This paper aims to examine the psychological consequences of a customer engagement initiative through referral reward programs (RRPs) in online versus offline environments.

The authors conducted a qualitative study followed by a scenario-based experimental study.

The authors show that recommenders’ concern about how they are viewed by recommendation recipients (i.e. their metaperception) mediates the effects of incentives on referral likelihood in both offline and online environments. However, metaperception has a stronger effect offline where recommenders show higher impression management concerns compared to online. Furthermore, tie-strength and communication environment moderate the effect of incentives on metaperception. When referrals are made to weak-ties, incentives decrease metaperception favorability offline more than online. For strong-ties, this effect is lower, and it is similar in offline and online environments.

The study focused on an online versus offline dyadic communication and did not consider the differences among social media. Furthermore, the authors did not consider how other forms of positive metaperception, like being seen as helpful or knowledgeable, could be increased in an online incentivized referral context. It is possible that a recommender thinks others see him as more helpful or knowledgeable online because a lot more useful information and other resources could be offered here compared to offline communications.

The authors recommend managers to design both online and offline RRPs that minimize metaperception concerns; target strong ties in any communication environment as metaperception concerns are low; and target weak ties online where metaperception concerns are muted.

This work is the first to examine how recommenders’ psychological responses differ offline and online.

Empirical research presents conflicting findings with regards to the effectiveness of referral reward programs (RRPs) and supports two alternative and conflicting views on the effectiveness of incentivizing recommendations. They are, first, a positive effect via perceived attractiveness of the incentive, and second, a negative effect via metaperception of the recommendation. The purpose of this paper is to examine these two opposing psychological mechanisms to reconcile the conflicting findings.

The authors conducted three experiments. Study 1 tests the base model. Studies 2 and 3 add moderators to test whether each mediating variable operates exclusively on its intended relationship.

Incentive size enhanced the attractiveness of an incentive, but reduced the metaperception favorability of the recommendation. These two opposing mechanisms operated in parallel, independently and fully mediated the effects of incentive size to likelihood of making a recommendation. Thus, the net impact of incentives on recommendation behavior depended on the relative strengths of these two opposing forces.

The study recommends managers to design RRPs with incentives that recommenders perceive as highly useful (i.e. to increase attractiveness) but have a low face value (i.e. to reduce metaperception concerns) and to target RRPs to strong rather than weak ties.

Our work offers an integrated theoretical account of consumers’ responses to incentivized recommendations and provides managerially relevant guidelines for the design of effective RRPs.

The purpose of this paper is to explore innovations in customer experience at the intersection of the digital, physical and social realms. It explicitly considers experiences involving new technology-enabled services, such as digital twins and automated social presence (i.e. virtual assistants and service robots).

Future customer experiences are conceptualized within a three-dimensional space – low to high digital density, low to high physical complexity and low to high social presence – yielding eight octants.

The conceptual framework identifies eight “dualities,” or specific challenges connected with integrating digital, physical and social realms that challenge organizations to create superior customer experiences in both business-to-business and business-to-consumer markets. The eight dualities are opposing strategic options that organizations must reconcile when co-creating customer experiences under different conditions.

A review of theory demonstrates that little research has been conducted at the intersection of the digital, physical and social realms. Most studies focus on one realm, with occasional reference to another. This paper suggests an agenda for future research and gives examples of fruitful ways to study connections among the three realms rather than in a single realm.

This paper provides guidance for managers in designing and managing customer experiences that the authors believe will need to be addressed by the year 2050.

This paper discusses important societal issues, such as individual and societal needs for privacy, security and transparency. It sets out potential avenues for service innovation in these areas.

The conceptual framework integrates knowledge about customer experiences in digital, physical and social realms in a new way, with insights for future service research, managers and public policy makers.

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.

The purpose of this paper is to introduce an alternative novel approach to measurement of customer perceptions of the service experience that links closely with customer loyalty outcomes.

This conceptual paper draws upon prior theory and empirical research to investigate the relevance of using relative metrics compared to absolute metrics in service research.

The findings upon which this paper draws upon show that measuring customer satisfaction, likelihood to recommend, brand preference using absolute metrics explain a very small per cent of the variance in key customer outcome measures such as share of wallet. Instead, a relative approach to these and other measures in service research is proposed.

Although business practice has embraced relative measurement much more extensively than has scientific research, the vast majority of customer experience measurement programs today continue to employ absolute measures resulting in suboptimal allocation of firm resources. This paper is a call to rethink these current measurement practices.

It is one of the first papers to argue for changing the widely employed use of absolute metrics in theory and practice in favor of relative metrics. Application to other service research theories is discussed.

The purpose of this paper is to offer a reflection on the role that meta-analysis can play in theory building for service phenomena.

The paper illustrates the benefits of conducting meta-analysis, presents its basic steps, and then uses an example to illustrate how meta-analytic findings can be used to enrich and develop theory.

Meta-analytic findings allow identifying gaps in current theories, thereby offering the opportunity to develop new research. Theoretical advancement through meta-analysis can imply theory borrowing, mutual theoretical development with other disciplines, intradisciplinary and multidisciplinary theorizing.

Experienced researchers might use this essay to better understand how meta-analysis can be used to generate new relevant research. Young researchers and PhD students may benefit from a greater use of meta-analysis to gain a thorough knowledge of their research topic and about the areas that require further exploration.

Rather than thinking of meta-analysis mainly as the conclusion of a well-researched domain and a good summary of cites, this essay underlines to the service scholar community how meta-analysis can boost theoretical advancement in services.