Suchergebnisse

Acquisitions can dramatically reshape interorganizational networks by combining previously separate nodes and allowing the acquirer to inherit the target's ties, potentially creating network synergy. Network synergy is the extent to which combining an acquirer's and a target's networks through node collapse results in a more favorable structural position for the combined firm as the acquirer gains control of the target's existing ties. We hypothesize that the likelihood of selecting a target increases when the expected network synergy is greater. Using data from the biotechnology industry (1995–2007), we find support for this hypothesis by showing that acquirers prefer targets that generate greater expected increases in network status and greater expected access to structural holes—even when we control for other known sources of synergies. We further show that these effects are driven by complementary combinations of the acquirer's and target's networks that go beyond the attractiveness of the target's network per se. By integrating the networks and acquisitions literatures, we introduce a novel source of synergies, provide evidence of a previously unexplored mechanism of network change, and show how firms can exert agency in the process of network change.

AbstractThis article offers a sympathetic critique of recent attempts to forge a dialogue between Global Commodity Chain (GCC) and World City Network (WCN) approaches to global economic change. While broadly supportive of the endeavour, we make three observations about this ongoing project. First, we question the utility of emphasizing the common roots of these approaches in World Systems Theory given that both have subsequently moved into new epistemological terrain and, additionally, that the language of core and periphery seems ever less pertinent to global economic realities. Second, we seek to highlight the potential dangers of essentializing the global system as one that is primarily shaped by certain kinds of connections – namely the intra‐firm relationships of advanced producer service firms – between certain kinds of cities – namely the leading tiers of global cities. Third, we point to the need to expand the interpretations of relationality within global networks to include a wider variety of actors, particularly beyond the corporate realm, and to explore the dynamic power relations between those actors. We also discuss the methodological challenges of expanding the purview of research in this way. This commentary has been stimulated by the articles in the special issue of Global Networks on 'World City Networks and Global Commodity Chains'.

Schelling (Schelling, T., 1969. Models of segregation. American Economic Review 59, 488–493; Schelling, T., 1971a. Dynamic models of segregation. Journal of Mathematical Sociology 1, 143–186; Schelling, T., 1971b. On the ecology of micromotives. The Public Interest 25, 61–98; Schelling, T., 1978. Micromotives and Macrobehavior. W.W. Norton and Company, New York) considered a model with individual agents who only care about the types of people living in their own local neighborhood. The spatial structure was represented by a one- or two-dimensional lattice. Schelling showed that an integrated society will generally unravel into a rather segregated one even though no individual agent strictly prefers this. We generalize this spatial proximity model to a proximity model of segregation, examining models with individual agents who interact 'locally' in a range of more general social network structures. The levels of segregation attained are in line with those reached in the lattice-based spatial proximity model.

AbstractActive research on a wide range of political contexts centers on ethnicity's role in collective action. Many theories posit that information flows more easily in ethnically homogeneous areas, facilitating collective action, because social networks among coethnics are denser. Although this characterization is ubiquitous, little empirical work assesses it. Through a novel field experiment in a matched pair of villages in rural Uganda, this article directly examines word‐of‐mouth information spread and its relationship to ethnic diversity and networks. As expected, information spread more widely in the homogeneous village. However, unexpectedly, the more diverse village's network is significantly denser. Using unusually detailed network data, we offer an explanation for why network density may hamper information dissemination in heterogeneous areas, showing why even slight hesitation to share information with people from other groups can have large aggregate effects.

Networks are central to both the practice and understanding of contemporary governance. But there is a tendency to conflate and confuse different concepts. Concepts of 'policy network' (PN) and 'governance network' (GN) are often used interchangeably, with an assumption that the latter has evolved from the former. Such indiscriminate borrowing fails to recognise the different antecedents, and distinctive analytical offer, of specific network theories. The article develops a systematic distinction between PN and GN theories, enabling those engaging with networks to select from, and even combine, alternative perspectives as they confront a new wave of change in policy making and governance. The more sceptical account provided by PN theory provides a valuable counterbalance to the 'optimistic' character of the GN literature, which tends to underestimate the continued hold of (albeit multi-sector) elites on policy making, and overstate the extent to which networks represent a new 'stage' in the evolution of governance.

AbstractShared memberships, social statuses, beliefs, and places can facilitate the formation of social ties. Two-mode projections provide a method for transforming two-mode data on individuals' memberships in such groups into a one-mode network of their possible social ties. In this paper, I explore the opposite process: how social ties can facilitate the formation of groups, and how a two-mode network can be generated from a one-mode network. Drawing on theories of team formation, club joining, and organization recruitment, I propose three models that describe how such groups might emerge from the relationships in a social network. I show that these models can be used to generate two-mode networks that have characteristics commonly observed in empirical two-mode social networks and that they encode features of the one-mode networks from which they were generated. I conclude by discussing these models' limitations and future directions for theory and methods concerning group formation.