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The ubiquity of digitally intermediated interactions is changing the ways in which social interaction creates the cognitive and institutional underpinnings of new markets. Logics that define markets used to be localized, but they now emerge from crowds that span – and persist – across time and space. This article builds a theory of how crowds emerge and evolve in a way that influences the emergence of shared logics and helps explain why some markets are viable while others are not. What is revealed is that a crowd has a hidden niche structure that determines the fate of a new market.

Preparing for a potential bioterroism is a difficult task for health care leaders because of the fundamental unpredictability of bioterroist acts. Complexity science thinking is presented as an approach that can help in this task. Basic concepts from complexity science, especially the role of relationships, are presented. Specific recommendations for action including sensemaking, learning, and improvisation are made. A case study is used to illustrate the power of complexity science thinking in assisting health care leaders addressing potential bioterroism. Questions for further research are presented.

I study the relationship between pro-market reforms and the expansion of emerging market multinational companies (EMNCs). Extending institutional economics, I propose a co-evolutionary process, whereby pro-market reforms in emerging markets induce the transformation of domestic firms into EMNCs, and the global expansion of EMNCs in turn facilitates the deepening of pro-market reforms in the home country. Specifically, I first explain how pro-market reforms lead to the emergence of EMNCs via international competitiveness, upgrading needs, and escape; I then explain how the global expansion of EMNCs leads to a deepening of pro-market reforms at home via learning, spillovers, and lobbying. I complement these explanations with a discussion of contingencies at the firm (private vs. state, domestic vs. foreign firms), industry (global vs. local industries), and country (developing vs. transition countries) levels.

This chapter provides a summary of the closing plenary at the 2018 Alberta Institutions Conference in which four scholars – Markus Höllerer, Marc Schneiberg, Patricia Thornton, and Charlene Zietsma – shared their views on how we could once again put the macrofoundations of institutional theory more center-stage in institutional analysis. The first major theme emerging from the panel discussion pertains to the meaning of macrofoundations. While Schneiberg sees institutions as socio-cognitive infrastructures, Zietsma emphasizes their constitutive nature. Second, both Thornton and Höllerer caution that an exclusive focus on either the micro- or the macro-level might remain only partial, and call for more cross-level studies of institutions – and for understanding the micro and the macro as co-constitutive analytical categories. Finally, the panelists discuss how we could break academic silos in institutional analysis and strive for theoretical innovation through interdisciplinary studies, among other avenues.

The growing turbulence of the external environment has progressively led to the necessity by organizations of exploiting new opportunities provided by data-driven approaches for supporting the even more complex decision-making processes. The new digital environment has led to the development and adoption of innovative approaches; also in the urban context which has always been characterized by different, interconnected, and dynamic dimensions. Urban governance models have been enhanced by smart technologies, which act as enablers of advanced services and foster connections between citizens, public and private organizations, and decision-makers. In this context, the objective of this chapter is to examine the role of data-driven approaches in the urban context during the chaotic and high variable circumstances related to the diffusion of the Coronavirus disease 2019 (Covid-19). Thanks to the adoption of the co-evolutionary perspective, a cycle in urban governance decision-making approach based on digital technologies is depicted and its contribution for managing the ongoing Covid-19 is traced. The results of the analysis highlight how the data-driven approach supports urban decision-making process and shed light on the co-evolutionary perspective as heuristic device to map the interactions settled in the networks between local governments, data-driven technologies, and citizens. In this sense, this chapter offers interesting insights, potentially capable of generating useful implications for both researchers and professionals in the public sector.

Working conditions on many digital work platforms often contribute to the grand challenge of establishing decent work. While research has examined the public regulation of platform work and worker resistance, little is known about private regulatory models. In this paper, we document the development of the “Crowdwork Agreement” forged between platforms and a trade union in the relatively young German crowdworking field. We find that existing templates played an important role in the process of negotiating this new institutional infrastructure, despite the radically new work context. While the platforms drew on the corporate social responsibility template of voluntary self-regulation via a code of conduct focusing on procedural aspects of decent platform work (i.e., improving work conditions and processes), the union contributed a traditional social partnership template emphasizing accountability, parity and distributive matters. The trade union’s approach prevailed in terms of accountability and parity mechanisms, while the platforms were able to uphold the mostly procedural character of their template. This compromise is reflected in many formal and informal interactions, themselves characteristic of a social partnership approach. Our study contributes to research on institutional infrastructures in emerging fields and their role in addressing grand challenges.

Hostile countermobilization is a crucial, yet relatively understudied, factor in radicalizing movement tactics and generating political violence. This chapter focuses on the movement–countermovement interactions between the Civil Rights Movement and the Loyalist movement in Northern Ireland to clarify the emergence and intensification of political violence in the 1968–1969 years. The interactions between the civil rights mobilization and the loyalist countermobilization created the conditions to fuel both protest-based and sectarian violence, setting the terrain for the eruption of the Troubles. Relying on quantitative data on the actors participating to contentious collective events, as well as original archival research, this chapter shows how the loyalist countermobilization activated mechanisms of object shift and tactical codependency that facilitated the emergence of radicalization in Northern Ireland.

The “upper echelon” literature has mainly produced static empirical studies on the impact of top management team composition on organizational outcomes, ignoring the dynamics of industrial demography. Organizational ecology explicitly studied the dynamics of organizational diversity at the population level, however largely ignoring how the entry and exit of executives shapes organizational diversity over time. In this paper, we try to integrate both streams of demography research and develop a multi-level behavioral theory of organizational diversity, linking selection processes at both levels of analysis. The behavioral mechanism connecting the two levels of analysis is the stylized empirical fact that small groups, including top management teams, routinely reproduce their demographic characteristics over time. We argue that, under certain conditions, the potent forces of team homogenization coevolve with those of population-level selection to sustain between-firm diversity.

This chapter focuses on the largely unexplored within- and cross-category spillovers between category kings and commoners within the field of the sharing economy. Going beyond the reputational spill-overs that are the main focus of extant literature, the authors also consider spill-overs in awareness, regulation, and customer usage between category kings and commoners, providing a holistic view of what it means to be a commoner in the same or adjacent category as a king. On the basis of a mixed-method study based on semi-structured interviews with UK sharing platforms and a consumer survey, the authors show that category commoners are affected by kings differently depending whether they are in the exact same sub-category or in an adjacent one within the same larger category. This chapter expands extant work on within and cross-category dynamics by taking the less popular perspective of the less visible category members. Studying these dynamics in the setting of the sharing economy also contributes to the authors’ knowledge of what enables/hinders the growth of a new field as a whole. Finally, the findings have important policy implications.