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The purpose of this paper is to focus on the changing nature of healthcare service encounters by studying the phenomenon of triadic engagement incorporating interactions between patients, local and virtual networks and healthcare professionals.

An 18-month longitudinal ethnographic study documents interactions in naturally occurring healthcare consultations. Professionals (n=13) and patients (n=24) within primary and secondary care units were recruited. Analysis of observations, field notes and interviews provides an integrated picture of triadic engagement.

Triadic engagement is conceptualised against a two-level framework. First, the structure of triadic consultations is identified in terms of the human voice, virtual voice and networked voice. These are related to: companions’ contributions to discussions and the virtual network impact. Second, evolving roles are mapped to three phases of transformation: enhancement; empowerment; emancipation. Triadic engagement varied across conditions.

These changing roles and structures evidence an increasing emphasis on the responsible consumer and patients/companions to utilise information/support in making health-related decisions. The nature and role of third voices requires clear delineation.

Structures of consultations should be rethought around the diversity of patient/companion behaviours and expectations as patients undertake self-service activities. Implications for policy and practice are: the parallel set of local/virtual informational and service activities; a network orientation to healthcare; tailoring of support resources/guides for professionals and third parties to inform support practices.

Contributions are made to understanding triadic engagement and forwarding the agenda on patient-centred care. Longitudinal illumination of consultations is offered through an exceptional level of access to observe consultations.

The purpose of this paper is to extend existing engagement research in two directions: first, it operationalizes the dynamic nature of the engagement process within a customer-brand dyad and, second, it tests the interrelationships with other network actors in a triadic network setting.

A 2×2 experimental design models the iterative nature of the engagement process based on repeated measures at three points in time, considering the contextual effects of connections with other customers and crowding-in effects based on monetary incentives.

This research demonstrates that in a utilitarian service setting, customer engagement does not emerge per se in the dyadic interaction between the customer and the brand. For high levels of engagement behavior to occur, incentives and ties to other network actors are essential. Further, the findings suggest a non-linear relationship between engagement behavior and its antecedents and consequences: engagement behavior must overcome a certain intensity threshold to unfold its effect.

Further research is needed to explore the dynamic nature of the engagement process in experiential and interactive service settings, and more complex network settings that may involve more actors and more complex relationships.

By facilitating connections between customers and compensating for low intrinsic interest, managers can facilitate actual engagement behavior even in utilitarian service contexts. Once engagement behavior has been triggered, an increased engagement disposition, higher satisfaction, higher involvement and higher loyalty follow.

This study empirically tests the dynamic nature of the engagement process within and beyond the dyad, and has revealed a non-linear pattern of customer engagement behavior within its nomological network.

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.

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.

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.

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.

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.

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

Recent literature on customer engagement has introduced the concept of “actor engagement,” which serves as the foundation for this study. The study aims to investigate the formation of engagement and engagement's impact on the performance of sharing economy platforms in an international context.

The study analyses unstructured data from 145,434 service providers and 1,703,266 customers on Airbnb across seven countries (USA, Canada, United Kingdom, Australia, South Africa, China and Singapore). Machine learning techniques are used to measure actor engagement, and the research model is tested using structural equation modelling (SEM).

The findings suggest that actor engagement, encompassing the reciprocal relationship between customer engagement and service provider engagement, has a significant impact on platform performance. The moderator analysis highlights the role of cultural differences in the relationship between customer engagement and service provider engagement and between actor engagement and platform performance. Specifically, the study reveals that actor engagement exhibits a more pronounced impact on platform performance in Western countries (such as the USA, Australia and the UK), compared to Eastern countries (such as China and Singapore).

The analysis of the conceptual model is based on the utilisation of behavioural data obtained from the Airbnb website. Due to the nature of the available data, proxies are employed as measures for variables such as platform performance.

This research is amongst the first to provide empirical evidence for actor engagement formation and the function's role in platform performance in the sharing economy. The global nature of Airbnb as a platform facilitates the investigation of country-level factors, specifically cultural values, across seven diverse countries and highlight differences from business to customer (B2C) business models.

This paper aims to present the literature review on engagement in marketing, specifically on the concept of actor engagement (AE), to identify the most influential countries, authors, journals and institutions, their structure and research lines.

This review was carried out from a bibliometric and network analysis of documents published in the Scopus and Web of Science databases.

A total of 223 documents were found that were scientifically mapped in this field. The network analysis identified four perspectives or research clusters: customer engagement, the conceptualization, co-creation of value and service ecosystems. Finally, the agenda for future research is presented.

This paper carries out a bibliometric and network analysis, so far not done, of the literature on AE in which its perspectives and future lines of research were identified.

As other actors in the service ecosystem often have a pivotal role in value creation for actors experiencing vulnerability, this paper aims to explore caregiving customer value co-creation in services for animal companions.

Study 1 follows a two-step procedure, using two different qualitative approaches (interviews and observations) to identify caregiving customer value co-creation activities. Study 2 serves to empirically test a higher-order structure of caregiving customer participation behaviour in value co-creation and test for differences regarding customer and service characteristics (questionnaire survey; n = 680).

The results reveal the existence of various value co-creation activities towards the service provider (e.g. cooperation under consideration of the animal companion’s needs) and animal companion (e.g. emotional support). Significant differences in individual caregiving customers’ activities were found regarding gender, age, type of service and animal companion. Caregiving customer value co-creation is influenced by emotional attachment and has a positive effect on value outcomes for both the caregiving customer and the animal companion.

This study extends and enriches customer value co-creation literature by providing innovative findings on various such caregiving activities and value outcomes in services for (non-human) actors experiencing vulnerability. It also adds knowledge by showing differences in customer value co-creation behaviour regarding specific customer and service characteristics.

Emergence is a key concept in service-dominant (SD) logic; however, the literature is neonatal on the underlying mechanisms that lead to emergence within service ecosystems. This study aims to address the call by Vargo et al. (2022) for understanding the role of actor engagement in emergence of novel outcomes, by identifying a process of how various actor roles in entrepreneurial ecosystem (EE) emerge as resource through the actor engagement.

Following a longitudinal design, this study conduct interviews from 20 respondents over eight months in three phases (group interviews, post-training, post-funding). This study analyzes the respondents’ engagement in an entrepreneurial service context. This study uses qualitative inductive approach and thematic analysis.

Results show that actor roles emerge as role expectations from essential provider and beneficiary position in a service ecosystem through actor role readiness, manifested as engagement properties in the actor engagement process. This study identifies five actor roles and their corresponding role readiness dimensions that emerge. Based on these propositions through which the authors position generic actor roles emergence within the actor engagement process in a service ecosystem.

This paper advances the understanding of micro-level process in emergence literature in SD logic by providing a conceptual understanding of emergence of actor roles as a resource through actor engagement. By grounding the study in EE, this study provides empirical evidence to the underlying mechanisms at the micro level of resource emergence process in a service ecosystem.

Policymakers push online health services delivery, relying on consumers to independently engage with online services. Yet, a growing cluster of vulnerable patients do not engage with or disengage from these innovative services. There is a need to understand how to resolve the tension between the push of online health service provision and unengagement by a contingent of health-care consumers. Thus, this study aims to explore the issue of digital unengagement (DU) (i.e. the active or passive choice to engage or disengage) with online health services to better inform service design aligned to actual consumer need.

Adopting a survey methodology, a group of 486 health services consumers with a self-declared (acute or chronic) condition were identified. Of this group, 110 consumers were classified as digitally unengaged and invited to write open-ended narratives about their unengagement with online health services. As a robustness check, these drivers were contrasted with the drivers identified by a group of digitally engaged consumers with a self-declared condition (n = 376).

DU is conceptualized, and four levels of DU drivers are identified. These levels represent families of interrelated drivers that in combination shape DU: subjective incompatibility (misalignment of online services with need, lifestyle and alternative services); enactment vulnerability (personal vulnerabilities around control, comprehension and emotional management of online services); sharing essentiality (centrality of face-to-face co-creation opportunities plus conflicting social dependencies); and strategic scepticism (scepticism of the strategic value of online services). Identified challenges at each level are the mechanisms through which drivers impact on DU. These DU drivers are distinct from those of the digitally engaged group.

Adding to a nascent but growing literature on consumer unengagement, and complementing the engagement literature, the authors conceptualize DU, positioning it as distinct from, not simply a lack of, consumer engagement. The authors explore the drivers of DU to provide insight into how DU occurs. Encapsulating the dynamic nature of DU, these drivers map the building blocks that could help to address the issue of aligning the push of online service provision with the pull from consumers.

This paper offers insights on how to encourage consumers to engage with online health services by uncovering the drivers of DU that, typically, are hidden from service designers and providers impacting provision and uptake.

There is a concern that there will be an unintentional disenfranchisement of vulnerable segments of society with a generic policy emphasis on pushing online services. The paper sheds light on the unforeseen personal and social issues that lead to disenfranchisement by giving voice to digitally unengaged consumers with online health services.

Offering a novel view from a hard-to-reach digitally unengaged group, the conceptualization of DU, identified drivers and challenges inform policymakers and practitioners on how to facilitate online health service (re)engagement and prevent marginalization of segments of society.