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This study aims to use cognitive appraisal theory to explain how organizational disruption influences the development of envy resulting in unethical selling practices, turnover intentions and a reduction in customer orientation that causes disruption to impact customer relationships. This research helps to address drivers of salesperson envy, the potential disruptions to customer relationships and the required need to invest in psychological resources to offset these negative effects.

A total of 211 salespeople were surveyed to test the hypotheses. First, the measurement model was validated using a confirmatory factor analysis. Next, the hypotheses were tested using structural equation modeling AMOS 27. Mediation and moderated mediation were tested using the bootstrap method. Estimands were created within AMOS to test the indirect and interaction effects in the full model. A post hoc analysis further informed the findings.

The results show that the development of envy increases under conditions of organizational disruptions, leading to potential customer disruptions through turnover intentions, unethical selling behaviors and a reduction in customer orientation. In addition, the mediation analysis shows that envy drives the relationship between organizational disruption and unethical selling, turnover intentions and customer orientation through fully mediated relationships. Finally, the interaction effects between organizational disruption and psychological capital show high levels of psychological capital help to decrease the development of envy, thus reducing unethical selling behaviors and turnover intentions while increasing customer orientation.

The study provides practitioners with insights into how to reduce envy by investing in the psychological capital of their salesforce. The study also provides suggestions for handling disruptions and managing envy to prevent actions that act to damage customer relationships.

Salespeople are likely to encounter organizational disruption. Sales managers need to be prepared to manage the outcomes of organizational disruption as it impacts the sales force. Understanding how disruptions impact customer relationships through envy is an important yet under-explored topic. This research adds to and expands the sales literature using cognitive appraisal theory to help address drivers of salesperson envy and its potentially negative impact on customer relationships and shows the required need to invest in psychological resources to offset these negative effects. The study also helps expand the recent focus on worldwide disruptions by adopting another context for disruption stemming from organizational disruption.

This study aims to identify the impact that Machiavellianism, narcissism and psychopathy tendencies have on avoidance and revenge-seeking after a service failure. The research examines the role that negative affect and desire for revenge play in aggressive behaviors by consumers.

The study uses a survey research methodology. The measurement model is validated using CFA, and hypotheses are tested using structural equation modeling. The mediated and serially mediated relationships are calculated using the bootstrap method by creating estimands to test the effects.

Machiavellianism is less likely to drive avoidance and negative affect, reducing desire for revenge, negative word of mouth and vindictive complaining. Those with narcissism tendencies are likely to develop a negative affect and a corresponding desire for revenge after the failure only if negative affect is developed. Consumers who exhibit psychopathy tendencies are likely to seek out revenge directly.

Each Dark Triad tendency influences consumer avoidance and revenge-seeking in different ways when a consumer’s goals are impeded. Companies can focus on service recoveries differently based on the types of tendencies of consumers engaging in avoidance and revenge-seeking.

The individual paths from Machiavellianism, narcissism and psychopathy tendencies to avoidance and revenge-seeking are developed and analyzed. Further distinctions between each Dark Triad tendency aids service providers in addressing and preparing for these consumer behaviors.

A firestorm is a vast wave of negative information about a brand that disseminates quickly online. Their relative unpredictability represents a particularly challenging problem for brand marketers. This paper aims to show how firestorms are enabled and can be disabled by online community members (OCMs), exploring the dissemination of negative electronic word-of-mouth (e-WOM), the challenges in countering negative brand information and how brands can effectively communicate with OCMs to facilitate offsetting negative e-WOM.

This paper uses a sequential mixed-method research methodology. Study 1 uses an experimental design and tests serial mediation using PROCESS Model 6. Study 2 extends the findings while introducing a moderator using the PROCESS Model 83. Finally, qualitative findings are used to develop a practitioner-friendly typology of OCMs.

The perceived authenticity of a message can influence the believability of negative WOM in the presence of a negative availability cascade. Positive cascades are likely to prevent online communities from enabling negative e-WOM when the instigating message is perceived to be inauthentic. Qualitative findings from a post hoc analysis identify a typology of eight OCM types that enable and are also capable of disabling firestorms.

OCMs can both actively fuel and cool a firestorm. Brands should always monitor online communities and closely monitor discussions that are most likely to generate firestorms. More proactively, they should also develop communication strategies for each OCM type to help disable firestorms in the making.

Both negative and positive cascades are explored quantitatively and qualitatively to understand the mechanisms that can drive firestorms and provide both warnings and guidance for brands. An OCM typology guides brands’ mitigation strategies.

The authors provide an example of a group of online shoppers exploiting a pricing mistake and exploring the drivers of predatory shopping that may harm online retailers. This paper aims to examine the role of social vigilantism, proactivity and self-presentation in driving individual predatory shopping behaviors and delivers a broader understanding of how these behaviors develop in online communities.

The authors use a mixed-methods sequential research model. In Study 1, the authors explore predatory shopping by using a netnographic textual approach to analyze an online forum engaging in predatory shopping. In Study 2, the authors empirically analyze the uncovered conceptual findings using the PROCESS macro.

Customers who engage in predatory shopping online exhibit social vigilantism when communicating their views to others and proactively seeking out pricing mistakes and opportunities. Customers engaging in predatory shopping adapt their presentation online to increase their chances of success; this effect is strengthened by the online disinhibition effect.

Predatory shoppers can actively seek out pricing mistakes online, encourage participation and exploit mistakes by adapting their self-presentation. Therefore, online retailers should be proactive and consistent when communicating with customers and collaborating to deter predatory shopping. In addition, online retailers should focus on building advocates in communities to prevent harm from predatory shoppers online.

Online predatory shopping is explored qualitatively and quantitatively to understand the propensities that can drive predatory behavior and provide warning signs for online retailers. In addition, the effects of predatory shopping drivers are analyzed in the presence of the online disinhibition effect.

Sales organizations embrace technological innovation. However, salespeople’s willingness to use new technology influences a firm’s return on investment, representing a significant concern for the organization. These concerns highlight tensions regarding the tradeoffs associated with technology implementations. The purpose of this study is to offer insights that help reduce the complexities of sales technology (ST) by exploring the changing dynamics of contemporary business relationships.

This paper synthesizes the ST literature using the service ecosystem perspective to propose the sales techno-ecosystem (STE) framework, providing new insights into organizational decision-making related to the ongoing digital transformation of sales tasks.

This synthesis of the ST literature with the service ecosystem seeks to clarify the impact of technology within the evolving nature of buyer–seller relationships by providing four unique perspectives.

Perspective 1 reviews the sales-service ecosystem framework and develops the theoretical underpinnings and relevant terminologies. Perspective 2 summarizes critical aspects of the ST literature and provides foundations for future research in the STE. Perspective 3 offers a more granular view, explicating roles and contexts prevalent in buyer–seller–technology interactions. Perspective 4 provides a set of tenets and advances research questions related to each tenet.

The culmination of these four perspectives is the introduction of five key tenants designed to help guide strategy and research.

The paper advances Hartmann et al. (2018) service ecosystem paradigm by explicating critical aspects of its ST domain to generate insights for theory and practice.

The purpose of this study is to explore customer-artificial intelligence (AI) service technology engagement and relationship development drivers, as well as potential negative consequences in the context of social chatbots.

A sequential mixed-method approach combined exploratory qualitative and confirmatory quantitative analyses. A conceptual model developed from Study 1 qualitative content analysis of in-depth interviews with active users of the AI social chatbot Replika was tested in Study 2 by analyzing survey data obtained from current Replika users.

Loneliness, trust and chatbot personification drive consumer engagement with social chatbots, which fosters relationship development and has the potential to cause chatbot psychological dependence. Attachment to a social chatbot intensifies the positive role of engagement in relationship development with the chatbot.

This study was the first to combine qualitative and quantitative approaches to explore drivers, boundary conditions and consequences of relationship and dependence formation with social chatbots. The authors proposed and empirically tested a novel theoretical model that revealed an engagement-based mechanism of relationship and dependence formation with social chatbots.

This paper aims to identify the ways that customers respond to customer-to-customer comparisons that may drive loyal customers to engage in undesirable behaviors. The research examines the role that jealousy and envy play in restoring equity through revenge-seeking intentions.

The study uses survey research methodology. The measurement model is validated using CFA, and hypotheses are tested using structural equation modeling. The mediated relationships are calculated using the bootstrap method, and moderated mediation is calculated by creating estimands to test the effects.

Customers who feel either jealousy or envy may engage in revenge-seeking behaviors, such as vindictive complaining and negative electronic word-of-mouth (eWOM). Customers who perceive that a firm is unfairly favoring other customers develop feelings of jealousy and betrayal, and this tendency is strengthened when the customer has a high level of prior trust. Customers typically develop envy when their attention and perceptions of inequity center on another customer, rather than on the firm’s actions and anger drives this effect.

Customers can pursue revenge-seeking actions when unfair actions influence the formation of envy and jealousy through the development of perceived betrayal. Companies can focus on the comparisons that customers make to address revenge-seeking and better manage online relationships preemptively.

The paths that customers take to revenge through jealousy and envy are conceptualized in a communal relationship setting and further developed. Further distinctions of jealousy and envy are made, and the role of prior trust in enhancing revenge-seeking is found.

This research study aims to investigate consumer usage motivations for three of the top social media platforms today: Facebook, Twitter and Instagram. Additionally, through understanding various platform distinctions, firms can understand which social media platforms consumers prefer to use to co-create with brands online.

An exploratory qualitative study is first conducted to understand consumer motivations for using different social media platforms. The main study tests five hypotheses related to consumer usage intentions and social media co-creation behavior across three social media platforms. A survey is conducted with 1,050 social media users with a comparison of mean responses using multivariate analysis of covariance.

Results support significant differences between platforms in terms of use and co-creation behaviors. For informational purposes, consumers gravitate toward Twitter. For social purposes, Twitter and Instagram are preferred. Instagram is the primary platform for entertainment motivation as well as co-creating with brands via social media. Surprisingly, Facebook shows the lowest usage intentions and co-creation despite being the largest platform and network most widely used by marketers.

To the best of the authors’ knowledge, this is one of the first studies to take a multi-platform approach to understanding consumer social media use and co-creation with brands. The results highlight that marketing academics and practitioners must segment the various social media platforms as each offers unique value propositions to consumers.

The focus of this chapter is quantum dialectical storytelling and its contribution to generate anticipatory knowledge of the future through the intra-play between the ante-narrative and the anti-narrative. The theoretical framework on quantum dialectical storytelling is based upon Boje’s triad storytelling framework interfused with Hegelian dialectics and Baradian diffraction. Through the inspiration of Judith Butler’s performative theory, Riach, Rumens, and Tyler (2016) introduce the concept of the anti-narrative as a critical reflexive methodology. By drawing on Hegel’s work on the dialectical phenomenology of critical reflexive self-consciousness, a dialectical pre-reflexive and reflexive framework emerges as intra-weaving modes of being-in-the-world toward future.

This chapter is concerned with the relationship between gender performativity and rhythm, taking the City of London (often known by its metonym the Square Mile) as the focus for the empirical research and extending a Lefebvrian understanding of urban space and time via the practice of rhythmanalysis. It is concerned with how the City of London is imagined, constructed and experienced in and through gender performativity which can be expressed rhythmically (Reid-Musson, 2018). The research is based on fieldwork including photographic and interview data, as well as an embodied, immersive methodology used to analyse rhythms, showing how this can help to both sense and make sense of organisational place, particularly in terms of how such places can compel feelings of belonging or non-belonging. The chapter looks beyond the spatial configuration of a single organisation to encompass the wider geographical location of multiple organisations, in this case the City.

The findings show that the relationship between the socio-cultural and material aspects of the City can be understood through the rhythms of place. Using a methodological approach based on Lefebvre's Rhythmanalysis (2004), the chapter foregrounds a subjective, embodied and experiential way of researching the places and spaces of organising, and shows how gendered inclusion and exclusion can be expressed spatially and rhythmically.