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COVID-19 vaccinations face a backdrop of widespread mistrust in their safety and effectiveness, specifically via social media platforms which constitute major barriers for the public health sector to manage COVID-19 (and future) pandemics. This study provides a more nuanced understanding of the public's engagement behavior toward COVID-19 vaccinations.

Using Netnography, this study explores the public's interactions with vaccine communications by the WHO via Facebook. From WHO posts about the COVID-19 vaccination 23,726 public comments on Facebook were extracted and analyzed.

Building on crisis communication, health and engagement literature, this paper identifies and conceptualizes seven patterns of engagement behavior toward the COVID-19 vaccination and develops the first framework of relationships between these patterns and the extant vaccine attitudes: vaccine acceptance, hesitancy and refusal.

This paper helps policymakers identify and adapt interventions that increase vaccine confidence and tailor public health services communications accordingly.

This research offers the first typology of patterns of engagement behavior toward COVID-19 vaccinations and develops a framework of relationships between these patterns and the existing understanding in health literature. Finally, the study provides data-driven communication recommendations to public health service organizations.

The purpose of this paper is to show how customers engage in negatively valenced influencing behavior (NVIB) and what triggers customers to use different forms of NVIB in an online context.

A qualitative study is conducted using an unobtrusive netnography. Data collected comprise of 954 negatively valenced online reviews posted on TripAdvisor to hotels, restaurants, and “things to do” in 12 different destinations worldwide.

Drawing on the recent literature relating to customer engagement behavior (CEB), this paper identifies and conceptualizes the relationship between five cognitive (service failure, overpricing, deception) and emotional (disappointment and insecurity) triggers of six forms of direct (dissuading, warning, and endorsing competitors) and indirect (discrediting, expressing regret, and deriding) NVIB.

The unobtrusive netnography has inherent limitations that lend itself to inductive rich insights rather than generalization. The study only focuses on NVIB within a specific online context, namely, TripAdvisor.

This paper provides managers with knowledge of the specific triggers of NVIB. Additionally, the paper conceptualizes the various forms of NVIB, how customers use them, and what triggers them to use each form. Moreover, the paper offers relevant data-inferred recommendations to service managers on how to manage each form of NVIB.

This research is the first to identify the forms and triggers of NVIB, classify direct and indirect forms, and conceptualize the relationships between forms and triggers.

In recent years, customer engagement (CE) with brands, which has been shown to yield enhanced firm sales, competitive advantage and stock returns, has risen to occupy a prominent position in brand management research and practice. Correspondingly, scholars have explored CE’s conceptualization, operationalization and its nomological networks as informed by different theoretical perspectives. However, in spite of important advances, the knowledge structure of the overall corpus of CE research remains tenuous. Therefore, the purpose of this paper is to explore the intellectual structure of CE research.

Based on this gap, this study deploys bibliometric and network analysis to map CE’s literature-based landscape. Using bibliometric analysis, important CE-publishing journals, authors and influential CE articles (2005–2020) are uncovered. Using network analysis, prominent CE themes are also unearthed.

The results document key CE-publishing journals and authors and their respective contributions to the literature. Five CE themes are also identified, including CE measurement/methods, online CE, CE’s value co-creating capacity, CE conceptualization and customer/consumer brand engagement. Further, an agenda for future CE research is provided based on the presented network analysis results.

The reported findings generate important implications for brand managers. For example, the identified critical role of online (vs offline) CE offers a range of strategic opportunities, as outlined.

This paper offers a pioneering bibliometric and network analysis of the CE literature, thus mapping the field. From the identified CE themes, important avenues for further CE research are also identified.

Non-profit organizations (NPO) contribute significantly to the welfare of citizens and communities. Engagement in volunteering is crucial for sustaining volunteer motivation and for the effective and efficient functioning of NPO, with significant implications for society at large. Yet, literature on volunteer engagement (VE) is limited to date. Grounded on service-dominant logic, self-congruity theory and self-determination theory, this study aims to understand what motivates VE and how it may evolve into a co-creation process valuable to NPO and its stakeholders.

Based on survey data collected from 450 volunteers, working with a diverse set of NPO, a comprehensive model of drivers and outcomes of VE was empirically tested using PLS-SEM, considering the mediating role of volunteers' congruence with the core values of the NPO.

The impact of volunteers' perceived autonomy, competence and relatedness on VE and its subsequent role in volunteers' loyalty and extra-role engagement behaviors (i.e. co-development, influencing and mobilizing behaviors) were validated. Moreover, the study validates value congruence as an internalizing mediating mechanism in the engagement process, a role that has been implied but not empirically tested.

The study contributes to the engagement and volunteering literature, which despite an unprecedented parallel have developed almost independently, with limited reference to one another. As the nomological network of VE is still underexplored, the study extends the engagement literature to the volunteering sector, validating the key (but underexplored) role of self-determination needs and value congruence in driving VE and value co-creation behaviors. The study further adds to engagement research while addressing other actors' engagement beyond the customer–brand dyad. While adopting a seldom explored marketing perspective of VE, this study provides NPO valuable insights on how to manage and engage volunteers.

Combining institutional work and actor engagement (AE) literature, this paper aims to elucidate how the collective action of market shaping occurs through the interplay between market shapers’ institutional work and engagement of other market actors. While markets are shaped by actors’ purposive actions and recent literature notes the need to also mobilize AE, the underlying process remains nebulous.

This paper is conceptual but supported by an illustrative case study: the Winding Tree. This blockchain-based, decentralized travel marketplace shapes a market by decoupling existing resource linkages, creating new ones and stabilizing others through a dynamic, iterative process between the market shaper’s institutional work and others’ AE.

The paper develops a dynamic, iterative framework of market shaping through increased resource density, revealing the interplay between seven types of market shapers’ institutional work distilled from the literature and changes in other market actors’ engagement dispositions, behaviors and the diffusion of AE through the market.

This research contributes to the emergent market shaping and market innovation literature by illustrating how the engagement of market actors is a fundamental means of market shaping. Specifically, it advances understanding of how market shapers’ institutional work leads to new resource linkages and higher resource density in emergent market systems through AE. The resultant framework offers an original, critical foundation for future market shaping research.

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.

The purpose of this study is to operationalise and measure the effects of negative customer engagement (CE) in conjunction with positive CE. Both valences are explored through affective, cognitive and behaviour dimensions, and, in relation to the antecedent of involvement and outcome of word-of-mouth (WOM). It also explores the moderating influence of service context by examining engagement within a social service versus a social networking site (SNS). Engagement with the dual focal objects of a service brand and a service community are also examined.

Structural equation modelling is used to analyse 625 survey responses.

Involvement is a strong driver of positive CE, and positive CE has a strong effect on WOM. These findings are consistent across the “brand” and “community” object, suggesting positive CE is mutually reinforced by different objects in a relationship. Positive CE is also found to operate consistently across the service types. Involvement is a moderately negative driver of negative CE, and negative CE is a positive driver of WOM. These relationships operate differently across the objects and service types. Involvement has a stronger inverse effect on negative CE for the social service, diverging from assumptions that negative CE is reflective of highly involved customers. Interestingly, negative CE has a stronger effect on WOM in the social service, highlighting the active and vocal nature of customers within this service context.

To the best of the authors’ knowledge, this is the first paper to quantitatively measure positive and negative valences of engagement concurrently, and examine the moderating effect of dual objects across contrasting service types.

While (customer) engagement has been proposed as a volitional concept, our structuration theory/S-D logic-informed analyses of actors’ (e.g. employees’) engagement in service innovation reveal engagement as a boundedly volitional theoretical entity, which arises from actors’ structural and agency-based characteristics and constraints. In line with this observation, the purpose of this paper is to develop a conceptual model of actor (i.e. customer, firm, employee) engagement with service innovation.

Based on the observed gap, the authors propose an integrative S-D logic/structuration theoretical model that outlines three particular service innovation actors’ (i.e. customers’, the firm’s and employees’) engagement, which comprises institution-driven (i.e. fixed) and agency-driven (i.e. variable) engagement facets. In addition, the authors integrate the key expected characteristics of positively (vs negatively) valenced service innovation engagement for each of these actor groups in the analyses.

The authors develop a 12-cell matrix (conceptual model) that outlines particular service innovation actors’ institution-driven and agency-driven engagement facets and outline their expected impact on actors’ ensuing positively and negatively valenced engagement.

The authors discuss key theoretical implications arising from the analyses.

Outlining service innovation actors’ structure- and agency-driven engagement facets, the authors’ model can be used to explain or predict customers’, the firm’s or employees’ service innovation engagement-based activities.