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Purpose: This study explores how the interplay between a passionate consumer and his embeddedness in the lively network of a consumer tribe represents a fertile environment for the emergence of an entrepreneurial venture that is able to combine micro- and macro-level concerns bridging tribe and marketplace needs.

Design/methodology/approach: The research, set within the context of an exemplar consumer’s entrepreneurial project, was conducted following a netnographic methodological approach.

Findings: By fluidly moving from within to outside the tribe in the wider marketplace, the entrepreneur crafts his own new space in the market through a cultural mediation work that effectively combines the affective, immaterial labor characterizing the social glue of the tribe collective ethos with entrepreneurial spirit and sharp marketing and consumer insight abilities. The entrepreneur acts as a resource integrator of traditional firm-driven and emerging consumer-driven marketplace without opposing existing market structures, but rather valorizing them through his intermediation work.

Research limitations: This is a single-case study that, although exemplar, needs to be expanded and consolidated with further empirical evidence.

Originality/value: The study contributes to extant literature on consumer-driven market emergence and new market system dynamics by uncovering the role of consumer entrepreneur as a reconfigurator of the existing market resources.

The design of work has been shown to influence a host of attitudinal, behavioral, cognitive, well-being, and organizational outcomes. Despite its clear importance, scholarly interest in the topic has diminished over the past 20 years. Fortunately, a recent body of research has sought to reenergize research into work design by expanding our view of work design from a narrow set of motivational work features to one that incorporates broader social and contextual elements. In this chapter we seek to review the literature on work design and develop a framework that integrates both job and team design research. We begin by briefly reviewing the history of work design in order to provide needed historical context and illustrate the evolution of job and team design. We then define work design, particularly as it relates to incorporating job and team design elements and transitioning from a view of jobs to one of roles. Following this, we identify a comprehensive set of work design outcomes that provide the basis for understanding the impact that different work characteristics can have on individuals and teams. We then offer an extended discussion of our integrative model of work design, which includes three sources of work characteristics (task, social, and contextual) and the worker characteristics implied by these characteristics. Having defined the range of work and worker characteristics, we then discuss some of the fit and composition issues that arise when designing work, as well as discuss the mechanisms through which the work characteristics have their impact on outcomes. Finally, we discuss research into informal forms of work design.

Purpose: In this summative article the volume editors discuss some of the “antidotes” to negative emotions that the authors in this volume have set out. Design: The summary is arranged in five sections: (1) Negative emotions as learning opportunities; (2) attributions and cognitive reframing; (3) importance of emotional intelligence; (4) leader empathy and organizational support; and (5) benefits of solving negative employee emotions. Findings: Despite the pervasiveness of negative emotions and experiences in organizations, they can lead to positive outcomes if handled appropriately. Research Implications: The contributions to this volume focus on a wide variety of important but underresearched topics in emotions and affect; and contain many original solutions to dealing with such emotions that may ultimately prove beneficial to organizations. Practical Implications: Organizations that are good at helping their employees cope with negative emotions have a competitive advantage in improving their employees' job performance and organizational commitment. Social Implications: The negative emotions examined in the articles presented in this volume have an impact on employee well-being. Thus, coping with these emotions is crucial to society. Originality/Value: The articles in this volume provide a variety of original solutions to what some might see as an “epidemic”’ of negativity in organizations.

The experimental parliamentary subsidy on knights' fees and freehold incomes from lands and rents of 1431 was the only English direct lay tax of the Middle Ages which broke down. As such, this subsidy has a clear historiographical significance, yet previous scholars have tended to overlook it on the grounds that parliament's annulment act of 1432 mandated the destruction of all fiscal administrative evidence. Many county assessments from 1431–1432 do, however, survive and are examined for the first time in this article as part of a detailed assessment of the fiscal and administrative context of the knights' fees and incomes tax. This impost constituted a royal response to excess expenditures associated with Henry VI's “Coronation Expedition” of 1429–1431, the scale of which marked a decisive break from the fiscal-military strategy of the 1420s. Widespread confusion regarding whether taxpayers ought to pay the feudal or the non-feudal component of the 1431 subsidy characterized its botched administration. Industrial scale under-assessment, moreover, emerged as a serious problem. Officials' attempts to provide a measure of fiscal compensation by unlawfully double-assessing many taxpayers served to increase administrative confusion and resulted in parliament's annulment act of 1432. This had serious consequences for the crown's finances, since the regime was saddled with budgetary and debt problems which would ultimately undermine the solvency of the Lancastrian state.

Abusive supervision is associated with many detrimental consequences. In this theory-review chapter, we extend the abusive supervision literature in two ways. First, we argue that more attention needs to be given to the emotion contagion processes between the leader and followers. More specifically, leaders’ negative affect can lead to followers’ experiences of negative affect, thereby influencing followers’ perception of abusive supervision. Second, we explore how employees draw upon their cognitive prototypes of an ideal leader or Implicit Leadership Theories (ILTs) to evaluate leader behaviors. In this regard, we argue that ILTs can influence the (negative) emotional contagion process between the leaders’ negative affect and followers’ perception of abusive supervision. In our proposed model, leaders’ expressions of negative affect, via emotional contagion, influence followers’ negative affect, perception of abusive supervision, and two behavioral responses: affect- and judgment-driven. The negative emotional contagion process between the leader and followers also differs depending on followers’ susceptibility to emotional contagion and their ILTs. We conclude by discussing the theoretical and practical implications of our model.

Scholars and practitioners in the OB literature nowadays appreciate that emotions and emotional regulation constitute an inseparable part of work life, but the HRM literature has lagged in addressing the emotional dimensions of life at work. In this chapter therefore, beginning with a multi-level perspective taken from the OB literature, we introduce the roles played by emotions and emotional regulation in the workplace and discuss their implications for HRM. We do so by considering five levels of analysis: (1) within-person temporal variations, (2) between persons (individual differences), (3) interpersonal processes; (4) groups and teams, and (5) the organization as a whole. We focus especially on processes of emotional regulation in both self and others, including discussion of emotional labor and emotional intelligence. In the opening sections of the chapter, we discuss the nature of emotions and emotional regulation from an OB perspective by introducing the five-level model, and explaining in particular how emotions and emotional regulation play a role at each of the levels. We then apply these ideas to four major domains of concern to HR managers: (1) recruitment, selection, and socialization; (2) performance management; (3) training and development; and (4) compensation and benefits. In concluding, we stress the interconnectedness of emotions and emotional regulation across the five levels of the model, arguing that emotions and emotional regulation at each level can influence effects at other levels, ultimately culminating in the organization’s affective climate.

This chapter aims to encourage and guide smart industry HRM-related research by addressing upcoming challenges developed using a job design lens.

The challenges are constructed based on a developed overview of the existing body of work related to job design and a description of smart industry.

The challenges are meant as an indication of the issues that arise within job design due to smart industry and, in so doing, suggest directions for future research in this specific field. Additionally, through laying out challenges for this particular example, the chapter encourages scholars to consider the possible impact of smart industry within other HRM areas.

We aim to understand what happens when larger social and cultural myths become the incarnate understanding of consumers within the firm. This paper uncovers the varied myths at play in one Finnish company’s status as an inadvertent cultural icon.

Through a qualitative inquiry of Finland’s largest dairy producer and by employing the theoretical lens of myth, we conceptualize the entanglement of broad cultural, social, and organizational myths within the organization.

Macro-mythic structures merge with everyday employee practice giving consumer understanding flesh within the firm (Hallet, 2010). Mythological thinking leaves organizational members inevitably bound up in a form of consumer knowing that is un-reflective and inadvertently effects brand marketing management.

Working through a nuanced typology of myth (Tillotson & Martin, 2014) provided a deeper understanding of how managers may become increasingly un-reflexive in their marketing activities. This case also provides a cautionary tale for heterogeneous communities where ideological conflict underscores development and adoption of contemporary myths.

The increasing importance and proliferation of text data provide a unique opportunity and novel lens to study human communication across a myriad of business and marketing applications. For example, consumers compare and review products online, individuals interact with their voice assistants to search, shop, and express their needs, investors seek to extract signals from firms' press releases to improve their investment decisions, and firms analyze sales call transcripts to increase customer satisfaction and conversions. However, extracting meaningful information from unstructured text data is a nontrivial task. In this chapter, we review established natural language processing (NLP) methods for traditional tasks (e.g., LDA for topic modeling and lexicons for sentiment analysis and writing style extraction) and provide an outlook into the future of NLP in marketing, covering recent embedding-based approaches, pretrained language models, and transfer learning for novel tasks such as automated text generation and multi-modal representation learning. These emerging approaches allow the field to improve its ability to perform certain tasks that we have been using for more than a decade (e.g., text classification). But more importantly, they unlock entirely new types of tasks that bring about novel research opportunities (e.g., text summarization, and generative question answering). We conclude with a roadmap and research agenda for promising NLP applications in marketing and provide supplementary code examples to help interested scholars to explore opportunities related to NLP in marketing.