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Bitcoin is difficult to categorize and indeed has been associated with 112 different labels in the British media (e.g., “private money,” “commodity”) – most of which poorly describe bitcoin. Specifically, our analyses of 674 media articles, focusing on the relationship between labeling and categorization, identify classification inconsistencies at three levels: within clusters of labels, between labels and categories, and between category attributes. These inconsistencies hamper categorization based on attribute similarity, audience goals, and causal models, respectively. We identify four factors that nurture this categorical anarchy and conclude with a call for research on the socioeconomic revolution heralded by blockchain technology.

Drawing on sociolinguistics, this chapter proposes an encoding–decoding perspective on evaluation, conceptualizing codes as interpretive schemas that are encoded by firms and decoded by audiences. A key element in this process is code complexity, denoting combinations of interdependent elements. We demonstrate that the evaluation of code complexity depends on the type of audience (professionals and laypersons) and the type of complexity (technological and aesthetic). We analyze the attribution of awards by professionals and the public in luxury watchmaking, featuring three mechanisms: the social embeddedness of audiences, their motivation for evaluation and supply-and-demand matching. The results attest to significant differences in the evaluation of technological and aesthetic code complexity by professionals and laypersons. There is a premium attributed to aesthetic code complexity by professionals and a premium attributed to technological complexity by laypersons. Finding the right type and level of code complexity to pursue in their offerings is a key strategic challenge for producers.

Our editorial argues that categories theory can be advanced by embracing heuristics research, and the insight that audiences often evaluate items based on multiple valued criteria. Thus, rather than building on extant theory – which suggests that categories embody specific evaluative criteria, or that audiences operate according to a set “theory of value” – the authors argue that hybrids research would benefit from attending to the underlying processes that actors use to weigh and balance the diverse considerations that guide their decisions. The authors define and discuss three commonly used heuristics (satisficing, lexicographic preferences, and elimination by aspects), and show how these might lead audiences to support different types of hybrid entities.

Studies have shown that actors who affiliate with multiple categories generally do so at their own peril. Still, category spanning is routinely observed, although it is less understood. We address this gap by a longitudinal study of category spanning among nanotube technology inventors. Our results highlight the importance of the evolving structure of category relationships, actor embeddedness within the structure, and interactions with other factors, including the attractiveness of related categories. When a category is relationally similar to others, associated inventors are more likely to engage in category spanning, whereas when a category is dissimilar, inventors are more likely to remain within it.

Corporate misconduct carries significant social and economic costs, and therefore regulators and other stakeholders seek to deter it. Despite the significant costs and deterrence efforts, corporate misconduct is widespread and our understanding of it is limited. As argued in this chapter, one key reason for this is the lack of understanding of the benefits and penalties of misconduct for the companies and individuals involved, as well as the detection of such behavior. This chapter seeks to advance our understanding of corporate misconduct and builds on the rational choice model (RCM) – where the decision to engage in misconduct hinges on a calculation of the expected costs and benefit – and links it to research in organization theory and strategy. Specifically, it sets a research agenda at the intersection of organizational and strategic perspectives, to deepen our understanding of corporate misconduct and shed light on opportunities for empirical and theoretical research which can potentially aid in developing effective deterrence strategies.

The popularity of research into categories has grown in recent decades and shows no sign of abating. This introductory article takes stock of the research into two facets of categorization, addressing it both as a cognitive and a social process. We advocate a rebalance toward the social process of categorization, paying more heed to the entity to be categorized, the actors involved, their acts, and the context and timing, which informs these activities. We summarize the contributions to the volume in relation to these dimensions and briefly discuss avenues for future research.

Digital technologies have fundamentally changed organizations, industries, and even the society. Although institutional theory provides rich array of perspectives to both the content and dynamics of such changes, research at the intersection of institutional scholarship and digitalization has remained scarce. In this essay, I draw on the institutional logics perspective to elaborate digitalization as involving a new set of interconnected managerial beliefs and norms, organizational practices, and diverse material and social structures that together complement and challenge the established logics in organizations and institutional fields. I draw attention to two central organizing principles in the logic of digitalization: the pursuit of digital omniscience – the efforts to represent and conceive the world through digital data – and digital omnipotence – the efforts to bring activities inside and outside organizations under the control of information systems. I conclude the essay by elaborating how the institutional logics perspective can help understand organization-level efforts to leverage digitalization by incumbent corporations and new digital-native companies.

We examine the construction of “empty categories” – that is, categories created prior to the existence of producers and consumers – and their implications for industry emergence. Drawing on the case of the ji-biru category among Japanese microbreweries, we exemplify how external actors – including governments, the media, consultants, and other entities – frequently create empty categories that are “legitimate yet not legitimated” (Vergne & Wry, 2014). We show how such empty categories generate lower entry barriers, resulting in higher founding rates and significant innovation. We highlight how empty categories impede evolutionary forces by inhibiting shared understandings of what constitutes a legitimate category member.

Despite ample research on the topic of business model innovation, little is known about the cognitive processes whereby some innovative business models gain the status of iconic representations of particular types of firms. This study addresses the question: How do iconic business models emerge? In other words: How do innovative business models become prototypical exemplars for new categories of firms? We focus on the case of Airbnb, and analyze how six mainstream business media publications discussed Airbnb between 2008 and 2013. The cognitive process whereby Airbnb’s business model became the iconic business model for the sharing economy involved three phases. First, these publications drew on multiple analogies to try to assimilate Airbnb’s innovative business model into their existing system of categories. Second, they developed a more nuanced understanding of Airbnb’s business model. Finally, they established it as the prototypical exemplar of a new type of organization. We contribute to business model research by providing an elaborated definition of the notion of the iconic business model which is rooted in social categorization research, and by theorizing the cognitive process that underpins the emergence of iconic business models. Our study also complements research on the role of analogical reasoning in business model innovation. Finally, we complement the market categorization literature by documenting a case of the emergence of a prototypical exemplar.

Massive shifts in the recruitment landscape, the continually changing nature of work and workers, and extraordinary technological progress have combined to enable unparalleled advances in how current and prospective employees receive and process information about organizations. Once the domain of internal organizational public relations and human resources (HR) teams, most employment branding has moved beyond organizations’ control. This chapter provides a conceptual framework pertaining to third party employment branding, defined as communications, claims, or status-based classifications generated by parties outside of direct company control that shape, enhance, and differentiate organizations’ images as favorable or unfavorable employers. Specifically, the authors first theorize about the underlying mechanisms by which third party employment branding might signal prospective and current employees. Second, the authors develop a framework whereby we comprehensively review third party employment branding sources, thus identifying the different ways that third party employment branding might manifest. Third, using prototypical examples, the authors link the various signaling mechanisms to the various third party employment branding sources identified. Finally, the authors propose an ambitious future research agenda that considers not only the positive aspects of third party employment branding but also potential “dark sides.” Thus, the authors view this chapter as contributing to the broader employment branding literature, which should enhance scholarly endeavors to study it and practitioner efforts to leverage it.