Collaboration Networks, Structural Holes, And Innovation: A Longitudinal Study

To assess the effects of a firm's network of relations on innovation, this paper elaborates a theoretical framework that relates three aspects of a firm's ego network-direct ties, indirect ties, and structural holes (disconnections between a firm's partners)-to the firm's subsequent innovation output. It posits that direct and indirect ties both have a positive impact on innovation but that the impact of indirect ties is moderated by the number of a firm's direct ties. Structural holes are proposed to have both positive and negative influences on subsequent innovation. Results from a longitudinal study of firms in the international chemicals industry indicate support for the predictions on direct and indirect ties, but in the interfirm collaboration network, increasing structural holes has a negative effect on innovation. Among the implications for interorganizational network theory is that the optimal structure of interfirm networks depends on the objectives of the network members.Managemen

Network-independent partner selection and the evolution of innovation networks.

Empirical research on strategic alliances has focused on the idea that alliance partners are selected on the basis of social capital considerations. In this paper we emphasize instead the role of complementary knowledge stocks (broadly defined) in partner selection, arguing not only that knowledge complementarity should not be overlooked, but that it may be the true causal force behind alliance formation. To marshal evidence on this point, we design a simple model of partner selection in which firms ally for the purpose of learning and innovating, and in doing so create an industry network. We abstract completely from network-based structural and strategic motives for partner selection and focus instead on the idea that firms’ knowledge bases must “fit” in order for joint leaning and innovation to be possible, and thus for an alliance to be feasible. The striking result is that while containing no social capital considerations, this simple model replicates the firm conduct, network structure, and contingent effects of network position on performance observed and discussed in the empirical literature.

Rent Appropriation in Strategic Alliances: A Study of Technical Alliances in Pharmaceutical Industry

Many existing alliance studies have investigated how embedded relations create superior value for organizations. The role of network structure in rent appropriation or pie splitting, however, has been underexplored. We propose that favorable locations in interorganizational networks provide firms with superior opportunities for appropriating more economic benefits from alliances than their partners do. Specifically, we argue that partners’ asymmetric network positions will lead to unequal brokerage positions that promote disparate levels of information gathering, monitoring, and bargaining power, which lead to differing capacities to appropriate value. This in turn results in variations in market performance. We also propose this brokerage position exacerbates existing inequalities such as commercial capital; thus, available firm resources will moderate such network effects. Evidence is presented in the form of market response to technology alliance announcements from a set of pharmaceutical firms. In general, we find that firms within central network positions and those spanning structural holes have higher returns than their partners. In addition, we show that this relationship is contingent upon available firm resources

Network-independent partner selection and the evolution of innovation networks

Empirical research on strategic alliances has focused on the idea that alliance partners are selected on the basis of social capital considerations. In this paper we emphasize instead the role of complementary knowledge stocks (broadly defined) in partner selection, arguing not only that knowledge complementarity should not be overlooked, but that is may be the true causal force behind alliance formation. To marshal evidence on this point, we design a simple model of partner selection in which firms ally for the purpose if learning and innovating, and in doing so create an industry network. We abstract completely from network-based structural and strategic motives for partner selection and focus instead on the idea that firms' knowledge bases must "fit" in order for joint learning and innovation to be possible, and thus for an alliance to be feasible. The striking result is what while containing no social capital considerations, the simple model replicates the firm conduct, network structure, and contingent effects of network position on performance observed and discussed in the empirical literature.Network formation and dynamics, Innovation, Knowledge, Alliances

SOFTWARE ENTREPRENEURSHIP: KNOWLEDGE NETWORKS AND PERFORMANCE OF SOFTWARE VENTURES IN CHINA AND RUSSIA

This study examines the impact of entrepreneurs’ network structure and knowledge homogeneity/heterogeneity of their network members on product development, and revenue growth of software ventures in China and Russia. The empirical data are composed of structured interviews with 159 software entrepreneurs in Beijing and Moscow. The study found that structural holes and knowledge heterogeneity affect positively product diversity in interactive ways. The study also found that knowledge homogeneity accelerates product development. Product development speed enhances revenue growth in the long term. However, the combination of speed with dense and homogeneous networks harms revenue growth over time. The effects of structural holes and knowledge heterogeneity on product diversity and revenue growth over time are more salient in Russia due to the unique institutional, social, and cultural conditions present in the country.http://deepblue.lib.umich.edu/bitstream/2027.42/40137/3/wp751.pd

Unbundling dynamic capabilities for inter-organizational collaboration

Purpose The purpose of this paper is to explore two distinct subsets of dynamic capabilities that need to be deployed when pursuing innovation through inter-organizational activities, respectively, in the contexts of broad networks and specific alliances. The authors draw distinctions and explore potential interdependencies between these two dynamic capability reservoirs, by integrating concepts from the theoretical perspectives they are derived from, but which have until now largely ignored each other – the social network perspective and the dynamic capabilities view. Design/methodology/approach The authors investigate nanotechnology-driven R&D activities in the 1995–2005 period for 76 publicly traded firms in the electronics and electrical equipment industry and in the chemicals and pharmaceuticals industry, that applied for 580 nanotechnology-related patents and engaged in 2,459 alliances during the observation period. The authors used zero-truncated Poisson regression as the estimation method. Findings The findings support conceptualizing dynamic capabilities as four distinct subsets, deployed for sensing or seizing purposes, and across the two different inter-organizational contexts. The findings also suggest potential synergies between these subsets of dynamic capabilities, with two subsets being more macro-oriented (i.e. sensing and seizing opportunities within networks) and the two other ones more micro-oriented (i.e. sensing and seizing opportunities within specific alliances). Practical implications The authors show that firms differ in their subsets of dynamic capabilities for pursuing different types of inter-organizational, boundary-spanning relationships (such as alliances vs broader network relationships), which ultimately affects their innovation performance. Originality/value The authors contribute to the growing body of work on dynamic capabilities and firm-specific advantages by unbundling the dynamic capability subsets, and investigating their complex interdependencies for managing different types of inter-organizational linkages. The main new insight is that the “linear model” of generating more innovations through higher inter-firm collaboration in an emerging field paints an erroneous picture of how high innovation performance is actually achieved

The Effect of Alliance Block Membership on Innovative Performance

Alliance, membership, Innovation, performance

Internet Entrepreneurship: Networks and Performance of Internet Ventures In China

This article examines the contingent value of entrepreneurs' networks to survival likelihood of Internet ventures, and the dynamics of entrepreneurs' networks over time. The empirical data are composed of the longitudinal surveys of 94 Internet ventures in Beijing, China. The study found the positive and the negative contingent effects of structural holes on the survival likelihood of new firms. The study found that networking skills of entrepreneurs are associated positively with the changes in networks over time. Improved social skills lead to greater firm legitimacy.http://deepblue.lib.umich.edu/bitstream/2027.42/40139/3/wp753.pd