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Organizational fields are shaped by both the relations that organizations forge and the language they express. The structure and discourse of organizational fields have been studied before, but seldom in combination. We offer a methodological approach that integrates relations and expressions into a comprehensive visualization.

By mapping networks and discourse as co-constitutive, the method illuminates the mechanisms active in organizational fields. We utilize social impact evaluation as an issue field shaped by the presence of an interstitial community, and compare this structure with simulated alternative field configurations.

The simulations reveal that variation in organizations’ openness to adopting concepts from adjacent meaning systems alters field configurations: differentiation manifests under conditions of low overall openness, whereas moderate receptivity produces hybridizations of discourses and sometimes the emergence of an interstitial community that bridges domains. If certain organizations are open while others remain focused on their original discourse, then we observe integration in the discursive domain of the invariant organizations.

The observations from the simulations are represented by visualizing organizational fields as topographies of meaning, onto which interorganizational relations are layered. This representation localizes organizations and their interactions in a cultural space while emphasizing how meanings of relationships and organizational expressions vary with different field configurations. By adding meaning to network data, the resulting maps open new perspectives for institutional research on the adaptation, translation, and diffusion of concepts.

Networks and learning matter to small- and medium-sized enterprises (SMEs). Networks and learning are also further elaborations on the exploration–exploitation (EE) dilemma. Ambidexterity, that is, managing this apparent dilemma, can be difficult as a result of many constraints. One of these constraints is that of mutually exclusive network structures. Consequently, ambidexterity is the ability to change networks, depending on need using mixed data on four small companies formed as part of an undergraduate management class, I hypothesize how specific network properties of the advice-seeking relationship, including density, cohesion, centralization, and embeddedness, affect two outcomes. Specifically, early exploratory learning is proposed to be positively affected by less-dense networks that maintain cohesion without centralization and do not have relations embedded in other relations. In contrast, later exploitative learning should be associated with denser networks that also have higher cohesion, higher centralization, and greater embeddedness. The results provide some support for these hypotheses and suggest further research in two areas that will benefit SMEs. One, how do early networks affect learning mode? Two, how does the ability to rewire networks provide the relational infrastructure to shift from exploration to exploitation – that is, to be ambidextrous in the face of the exploration–exploitation tradeoff?

Certain elements of Hayek’s work are prominent precursors to the modern field of complex adaptive systems, including his ideas on spontaneous order, his focus on market processes, his contrast between designing and gardening, and his own framing of complex systems. Conceptually, he was well ahead of his time, prescient in his formulation of novel ways to think about economies and societies. Technically, the fact that he did not mathematically formalize most of the notions he developed makes his insights hard to incorporate unambiguously into models. However, because so much of his work is divorced from the simplistic models proffered by early mathematical economics, it stands as fertile ground for complex systems researchers today. I suggest that Austrian economists can create a progressive research program by building models of these Hayekian ideas, and thereby gain traction within the economics profession. Instead of mathematical models the suite of techniques and tools known as agent-based computing seems particularly well-suited to addressing traditional Austrian topics like money, business cycles, coordination, market processes, and so on, while staying faithful to the methodological individualism and bottom-up perspective that underpin the entire school of thought.

In this chapter, I utilize insights from symbolic interaction to analyze the identity work processes of larp subculture participants to construct and perform their in-game identities. I extend the research on larp subcultures in two ways. First, I place larping within the larger context of leisure subcultures and society by arguing that larping is representative of changes in leisure and subcultures in postmodern society. Second, I draw upon ethnographic data collected among the New England Role-playing Organization (NERO) to analyze larpers character identity performances. RPG and Larp researchers have developed several theories about the relationship between larp participants and their character performances. While these concepts provide a helpful framework for understanding the participant-character relationship, they undertheorize the in-game constructed performance of identity. Using symbolic interaction theory, I analyze the identity work processes larpers use to construct and perform their larp identities extending our understanding of the similarities between everyday identity and larpers' character identity performances.

The essential investments in new product development (NPD) made by industrial companies entail effective management of NPD activities. In this context, performance measurement is one of the means that can be employed in the pursuit of effectiveness.