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Political economies evolve institutionally and technologically over time. This means that to understand evolutionary political economy one must understand the nature of the evolutionary process in its full complexity. From the time of Darwin and Spencer natural selection has been seen as the foundation of evolution. This view has remained even as views of how evolution operates more broadly have changed. An issue that some have viewed as an aspect of evolution that natural selection may not fully explain is that of emergence of higher order structures, with this aspect having been associated with the idea of emergence. In recent decades it has been argued that self-organization dynamics may explain such emergence, with this being argued to be constrained, if not overshadowed, by natural selection. Just as the balance between these aspects is debated within organic evolutionary theory, it also arises in the evolution of political economy, as between such examples of self-organizing emergence as the Mengerian analysis of the appearance of commodity money in primitive societies and the natural selection that operates in the competition between firms in markets.

Entrepreneurship research has grown in both quality and quantity over the past decade, as many theoretical innovations and important empirical research findings have been introduced to the field. However, theoretical approaches to understanding entrepreneurship remain fragmented, and empirical findings are unstable across different contexts. This chapter describes features of a multi-level process view of new venture emergence that adds coherence to the entrepreneurship theory jungle and brings order to idiosyncratic empirical results, by explaining how ideas become organized into new ventures. The centerpiece of this effort is enactment theory, a general process approach specifically developed to explain organizing processes. Enactment theory – and Campbellian evolutionary theorizing more generally – has a long history of use within and across multiple levels of analysis. Consequently, the description here illustrates how organizing unfolds across multiple levels of analysis and multiple phases of development. After describing the theorizing assumptions and multi-level process view of new venture organizing, the chapter explores implications of applying this perspective by suggesting new research directions and interpretations of prior work. The aim is to advocate process theorizing as a more productive approach to understanding new venture emergence.

Studies of the social construction of markets have not determined which social environments, which we refer to as proximate social space, are most likely to trigger social construction processes. We find that U.S. nonprofit fiscal sponsors respond to greater potential for category emergence when proximate social space is defined by geography but not by market segment. Further, in addition to responding to potential claimants based on geographic peers, organizations also respond to actual claimants based on peers in the market segment. The pattern suggests that geographic social proximity triggers initial label claiming, which in turn triggers responses from market segment peers.

A neglected area of research in ODC is the turnaround of poorly performing firms such as those under bankruptcy protection. We researched 142 companies that attempted reorganization under bankruptcy protection between 1983 and 2003. Firms deployed one or more of four distinct strategies to turnaround: rationalizing existing resources, developing existing resources, generating new resources, and investing in future resources. Firms that generated new resources, and developed and rationalized existing resources, had the highest probability of emergence. Interestingly firms that sustained their turnaround post-emergence invested in future resources in addition to generating, developing, and rationalizing resources. Implications for ODC are discussed.

Drawing on the notion of imprinting, we develop a framework for understanding category emergence and durability by suggesting that the durability of a category reflects its emergence conditions. We propose four ideal-typical mechanisms – consensus, proof, fiat, and truce – that arise from differences in the degree of agreement and the centralization of the authority regarding category definitions. Our framework not only relates category durability to emergence but also highlights the role of category promoters and constituencies in an ongoing process of category maintenance. We discuss implications for understanding the dynamics of the categorization process in various social and product market contexts.

A shared cognitive schema is the fundamental source of tacit understanding within a team. This study aims to address how such a shared cognitive schema emerges and evolves in an interdisciplinary research team.

This study uses an exploratory single case study to analyze the emergence and evolution of a shared cognitive schema in an interdisciplinary research team systematically. The authors spent more than two years collecting data from the IAM team via semistructured interviews, archival data and observation. Subsequently, a framework for the resulting mechanism model was developed by analyzing the data using a three-step process.

This study shows that as the interdisciplinary research team develops, the shared cognitive schema passes through three stages: overlapping cognitive schema, complementary cognitive schema and synergetic cognitive schema. The mechanisms of overlap, complement and synergy play important roles. The convergent roles of partner-based recruiting, knowledge categorization and following the existing institution facilitate the overlapping of knowledge structures. Complementary cognitive schema sharing is facilitated by interdisciplinary member selection, knowledge stock expansion and the effects of accomplished mentors. The synergetic behaviors of group voice, interactive cognition and adaptive learning facilitate synergetic cognitive schema sharing.

This study is the first to discuss the emergence and evolution of a shared cognitive schema at the microlevel of knowledge structure and belief structure. It offers a new theoretical perspective on the development rules of scientific research teams and provides practical enlightenment regarding the establishment and operation of interdisciplinary research teams.

The purpose of this paper is to develop a theoretical framework to explain how leaders emerge in teams that lack a hierarchical structure. This framework emphasizes the perceptual processes through which team members determine whether or not an individual fits with the task, the group, and the situational context.

This paper builds on prior leadership research to develop a theoretical framework of emergent leadership, a testable model, and research propositions.

The authors suggest that team members’ perceptions of leadership fit depend on the potential leader's domain competence, fluid intelligence, willingness to serve, credibility, and goal attainment. A conceptual framework is developed to suggest these attributes combine to create perceptions of leadership fit that must correspond to the degree of stress in the situational context, which varies according to task criticality and time compression. The framework suggests that an individual perceived by team members to exhibit characteristics that fit with the situation will likely emerge as the leader.

This paper focusses on emergent leadership, but does not address which path to leadership may be best. Future research may also address group dynamics (i.e. cohesion or group potency) and the implications for leader emergence.

This research contributes to the discipline by suggesting a potential path of leader emergence in multiple contexts of situational stress and leader behaviors.

As the employment marketplace changes, the meaning of leadership evolves. The question of whether emotional intelligence (EI) is required for leaders has attracted broad interest. This paper seeks to examine the role of EI and motivation to lead (MTL) in predicting leadership.

In study 1, students (n=309) first completed surveys and then, one week later (n=264), they engaged in leaderless group discussions where their levels of leader emergence were rated. In study 2, the participants were 115 students who undertook 14‐week class projects. They completed surveys including evaluations of members' leader emergence after they finished the projects.

The results suggest that participants who were high in affective‐identity MTL became leaders in leaderless discussions, while high social‐normative MTL individuals assumed leadership roles in long‐term project teams. Both studies found that use of emotions, which is a component of EI, was positively related to affective‐identity and social‐normative MTL and indirectly related to leader emergence.

This study is one of the first to examine the relationship between EI and MTL, as well as between MTL and leadership emergence.

The purpose of this paper is to investigate how supply and demand interact during industrial emergence.

The paper builds on previous theorising about co-evolutionary dynamics, exploring the interaction between supply and demand in a study of the industrial emergence of the commercial inkjet cluster in Cambridge, UK. Data are collected through 13 interviews with professionals working in the industry.

The paper shows that as new industries emerge, asynchronies between technology supply and market demand create opportunities for entrepreneurial activity. In attempting to match innovative technologies to particular applications, entrepreneurs adapt to the system conditions and shape the environment to their own advantage. Firms that successfully operate in emerging industries demonstrate the functionality of new technologies, reducing uncertainty and increasing customer receptiveness.

The research is geographically bounded to the Cambridge commercial inkjet cluster. Further studies could consider commercial inkjet from a global perspective or test the applicability of the findings in other industries.

Technology-based firms are often innovating during periods of industrial emergence. The insights developed in this paper help such firms recognise the emerging context in which they operate and the challenges that need to overcome.

As an in depth study of a single industry, this research responds to calls for studies into industrial emergence, providing insights into how supply and demand interact during this phase of the industry lifecycle.

How a micro-founded discipline such as economics could deal with the increasing global economic reality? This question has been asked frequently since the last economic crisis that appeared in 2008. In this challenging context, some commentators have turned their attention to a new area of knowledge coming from physics: econophysics which mainly focuses on a macro-analysis of economic systems. By showing that concepts used by econophysicists are consistent with an existing economic knowledge (developed by J.S. Mill), the purpose of this paper is to claim that an interdisciplinary perspective is possible between these two communities.

The authors propose a historical and conceptual analysis of the key concept of emergence to emphasize the potential bridge between econophysics and economics.

Six methodological arguments will be developed in order to show the existence of conceptual bridges as a necessary condition for the elaboration of a common language between economists and econophysics which would not be superfluous, in this challenging context, to clarify the growing complexity of economic phenomena.

Although the economics and econophysics study same the complex economic phenomena, very few collaborations exist between them. This paper paves a conceptual/methodological path for more collaboration between the two fields.