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A s a complement to the literature on learning in firms, we investigate learning in markets , a nascent area of study that focuses on how learning occurs between, rather than within, firms. The core idea behind our framework is that networks shape knowledge transfer and learning processes by creating channels for knowledge trade and reducing the risk of(More)
I n this introductory note, we describe the motivation for this special issue on complex systems. We begin by noting the potential management opportunities offered by recent advances in complexity science. After defining the nature of complex systems and the many ways they are expressed in organizations and markets, we briefly describe the main tools and(More)
• We appreciate the generous support of the National Science Foundation (IOC Award #0323176), the Stanford Technology Ventures Program, and the MIT Sloan School of Management. We also thank multiple individuals for their helpful comments, including Using computational and mathematical modeling, this study explores the tension between too little and too much(More)
Successful animal systems often manage risk through synchronous behavior that spontaneously arises without leadership. In critical human systems facing risk, such as financial markets or military operations, our understanding of the benefits associated with synchronicity is nascent but promising. Building on previous work illuminating commonalities between(More)
Recent studies uncovered important core/periphery network structures characterizing complex sets of cooperative and competitive interactions between network nodes, be they proteins, cells, species or humans. Better characterization of the structure, dynamics and function of core/periphery networks is the key step to our understanding of cellular functions,(More)
Previous work has shown that species interacting in an ecosystem and actors transacting in an economic context may have notable similarities in behavior. However, the specific mechanism that may underlie similarities in nature and human systems has not been analyzed. Building on stochastic food-web models, we propose a parsimonious bipartite-cooperation(More)
The current research used the contexts of U.S. presidential debates and negotiations to examine whether matching the linguistic style of an opponent in a two-party exchange affects the reactions of third-party observers. Building off communication accommodation theory (CAT), interaction alignment theory (IAT), and processing fluency, we propose that(More)
The " business elite " constitutes a small but strikingly influential subset of the population, oftentimes affecting important societal outcomes such as the consolidation of political power [1], the adoption of corporate governance practices, and the stability of national economies more broadly. Research has shown that this exclusive community often(More)