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This chapter is a reflection on the Shepherd and Zacharakis (1997) paper, which starts with a review of citations in the intervening 20 years, and dives more deeply into these works to better describe and consider the evolution and use of conjoint analysis in entrepreneurship research. The proliferation of new uses for a conjoint analysis are identified, such as more studies of entrepreneurial decision making, which came to supplant the early efforts, which focused on venture capital decisions. Additional expansions into other entrepreneurship stakeholder groups are also reviewed. The use of conjoint as an accelerator of multilevel research is also noted, as are the improvements and challenges in conjoint methodologies as the field has matured.

How do radical technological fields become naturalized and taken for granted? This is a fundamental question given both the positive and negative hype surrounding the emergence of many new technologies. In this chapter, we study the emergence of the US nanotechnology field, focusing on uncovering the mechanisms by which leaders of the National Nanotechnology Initiative managed hype and its concomitant legitimacy challenges which threatened the commercial viability of nanotechnology. Drawing on the cultural entrepreneurship literature at the interface of strategy and organization theory, we argue that the construction of a naturalizing frame – a frame that focuses attention and practice on mundane, “rationalized” activity – is key to legitimating a novel and uncertain technological field. Leveraging the insights from our case study, we further develop a staged process model of how a naturalizing frame may be constructed, thereby paving the way for a decrease in hype and the institutionalization of new technologies.

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.

Research on cultural entrepreneurship has explored the role of language in making and giving sense to novel ventures and market categories and in legitimating them. We analyze how an emerging de novo market category, quantum computing, is constructed through the use of analogies and metaphors. Through a multimodal analysis of interview and newspaper data, we find that in addition to using analogies and metaphors to highlight familiarity, actors also use such tropes to expound the weirdness of the new category, thus marking it as profoundly different and novel. Such tropes have a dual function; they draw the boundaries between science and laypeople but also arouse awe and curiosity among the audiences. Our study thus casts light on the cultural work during de novo category emergence.

Scholars have primarily focused on how language represents categories. We move beyond this conception to develop a discursive perspective of market categorization focused on how categories are constructed through communicative exchanges. The discursive perspective points to three under-researched mechanisms of category evolution: (1) the interaction between market participants, (2) the power dynamics among market participants and within the discourse, and (3) the cultural and material context in which categories are constructed. In this theoretical paper, we discuss how each of these mechanisms shed light on different phases of category evolution and the methods that could be used to study them.

We examine the translation of the concept of privacy in the advent of digital communication technologies. We analyze emerging notions of informational privacy in public discourse and policymaking in the United States. Our analysis shows category change to be a dynamic process that is only in part about cognitive processes of similarity. Instead, conceptions of privacy were tied to institutional orders of worth. Those orders offered theories, analogies, and vocabularies that could be deployed to extrapolate the concept of privacy into new domains, make sense of new technologies, and to shape policy agendas.

We investigate how Salesforce’s key people used analogies and metaphors during the deployment of their (then) radical business model innovation. Our analysis shows how Salesforce’s entrepreneurial team skillfully used a mix of analogies and metaphors to communicate its innovations and differentiate the company from its competitors. We also show how business model innovators can weave together analogies and metaphors to create distinct meta-narratives that elicited strong emotions and helped construct a memorable organizational identity that galvanized stakeholders around the firm’s ecosystem appeal. We conclude by discussing the implications of our findings for business model and cognition research.

Studies show that discourses are important in legitimating emerging fields. However, we still lack understanding of how potential participants’ interpretations of discourses shape their involvement in emerging fields – particularly when the field’s definition is ambiguous. Drawing on an in-depth study of the emerging nanotechnology field we show that individuals’ affective responses to discourses play an important role in their decisions to participate. We find that discourse, expectations, affective responses, and participation in emerging fields are mutually constituted, and develop a model that shows these interconnections. Theoretically, our study expands understandings of discourse and field emergence by incorporating affect.