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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.

This study aims to show the impact of direct and indirect customers’ negatively valenced influencing behavior (NVIB) on other actors in online social networks.

Four experiments were conducted in an online review setting that encompasses both restaurant and hotel reviews. The first study compares the impact of direct and indirect NVIB. The second, third and fourth studies measure this impact moderated by aggregate ratings, the volume of positive reviews and managerial responses.

Drawing on recent literature of customer engagement behavior, online reviews and social influence theory, this paper provides the first empirical results of the impact of direct and indirect NVIB, revealing the significant difference in their impact and the moderating role of the aggregate ratings, number of positive reviews and managerial responses on the cause-effect relationship between direct and indirect NVIB and other actors’ attitudes and behavioral intentions toward service providers.

TripAdvisor reviews were selected for the reason of appropriateness rather than representativeness, using two service providers, hotels and restaurants.

This paper provides managers with new insights, which capture not only what customers say about service providers but also the impact of how they say it, suggesting that managers move beyond framing NVIB in generalized terms to considering the differences in the impact of its direct and indirect facets.

This paper is the first to provide empirical results about the significant difference in the impact of direct and indirect NVIB on other actors’ attitudes and behavioral intentions toward service providers, moderated by different heuristics, namely, ratings, volume of positive reviews and managerial responses.

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.

Negative brand engagement represents a pervasive and persistent feature of interactivity in online contexts. Although existing research suggests that consumer negativity is potentially more impactful or detrimental to brands than its positive counterpart, few studies have examined negative brand-related cognitions, feelings and behaviours. Building on the concept of brand engagement, this study aims to operationalise negative online brand engagement.

This paper presents the results of nine studies that contributed to the development and validation of the proposed scale. Building on the concept of engagement, Studies 1–3 enhanced the construct conceptualisation and generated items. Study 4 involved validation with an academic expert panel. The process of measure operationalisation and validation with quantitative data was completed in Studies 5–8. Finally, the scale's nomological validity was assessed in Study 9.

The results confirm the multidimensional nature of negative online brand engagement. The validated instrument encompasses four dimensions (cognition, affection, online constructive behaviour and online destructive behaviour), captured by 17 items.

Progress in understanding and dealing with negative online brand engagement has been hampered by disagreements over conceptualisation and the absence of measures that capture the phenomenon. This work enhances managerial understanding of negativity fostering strategies that protect brand engagement and improve firm performance.

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.

Mixed methods research (MMR) represents an alternative methodological approach, combining qualitative and quantitative research styles, and enabling researchers to explore complex phenomena in detail. This chapter provides a critical view of mixed methods research and its application in social science research, with examples from tourism and hospitality used to guide those aiming to undertake mixed-methods research projects. The chapter provides insight into the characteristics of MMR, distinguishing it from a multi-method approach. It also provides a detailed explanation of different MMR designs and highlights the advantages and challenges of adopting a mixed-methods approach. Moreover, the chapter discusses approaches to analysis which are pivotal to MMR design. Finally, the chapter concludes with recommendations for researchers hoping to adopt a mixed-methods approach.

Understanding the most appropriate research philosophy to underpin any piece of scholarly inquiry is crucial if one hopes to address research problems in a manner distinct from those already evidenced across extant literature. Distinct philosophical ideas and positions are often associated with specific research designs, therefore influencing the research approach adopted in any given study. Identifying an appropriate philosophical approach requires robust comprehension of how philosophical positions differ, alongside a reflective understanding of one's own perceptions and beliefs regarding what knowledge and reality “are” and how new knowledge is discovered, developed, and/or confirmed. This chapter therefore discusses different research paradigms and philosophies in order to identify core distinctions therein, highlighting the advantages and the challenges associated with different philosophical approaches to research along the way.

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.

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.

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.

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.

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.