Gabriella Levanti

Interorganizational network and innovation: a bibliometric study and proposed research agenda

Purpose – This paper aims to explore the latent structure of the literature on interorganizational network and innovation as well as to map the main themes and empirical advances in this research stream. Design/methodology/approach – Using bibliometric coupling, the authors analyze the citation patterns in 67 management studies regarding innovation networks, published in ISI-journals from January 1996 to October 2012. Findings – The authors identify the conceptual orientations that studies share. Bibliometric analysis allows us to draw an overview of how this field of research has developed, recognizing in essence six main clustered research themes: networks as a framework that sustains firm innovativeness in specific contexts; network dimensions and knowledge processes; networks as a means to access and share resources/knowledge; the interplay between firm and network characteristics and its effects on innovative processes; empirical research on networks in highly dynamic industries; and the influence of...

Evolutionary Dynamics of Inter-firm Networks: A Complex Systems Perspective

This chapter aims to identify the main determinants that define the architectural properties of network emergence and significantly influence the dynamics underlying network evolution in time. The identification and analysis of these determinants, as well as the dynamic processes tied to them, allows to appreciate the competitive bases and consequences of network morphology. To this purpose, using a complex systems perspective as an integrative conceptual approach, we represent networks as complex dynamic systems of knowledge and capabilities. We perform a comparative in-depth analysis of the processes underlying the emergence and evolution of STMicroelectronics global network and of Toyotas supplier network in the US so as to allow an elucidatory empirical assessment of the theoretical representation elaborated in the article.

Structural Dynamics and Intentional Governance in Strategic Interorganizational Network Evolution: A Multilevel Approach

This article aims to shed light on the drivers underlying the role and scope of intentional governance of the structural dynamics of whole interorganizational networks. Prior research has distinguished networks that are emergent from networks that are orchestrated. While empirical studies have shown situations in which the role and scope of intentional governance of whole interorganizational networks has changed in time, and there is a growing interest regarding the endogenous drivers of network dynamics, the dimensions that influence intentional governance of network structure dynamics and the way this is carried out remain still to be elucidated. In order to pinpoint these drivers, we leverage the models of network structure dynamics elaborated within studies conducted at the intersection between network research and complexity science to propose a multilevel interpretive framework that clarifies the role and scope of intentional agency at different structural levels of interorganizational networks. Our framework advances a twofold conceptual contribution: on one hand, we tackle the change in the role and scope of intentional governance of network structures in both the early stages and the later stages of network evolution. On the other, we interpret the network of formal ties as resembling the accelerating network model, with the network of informal ties being akin to the scale-free (or truncated scale-free) network model of complex networks theory.

Governing Complex Strategic Networks: Emergence Versus Enabling Effects

In today’s knowledge-based economy, the sources of competitive advantage increasingly lie in webs of relationships between a variety of firms and organizations that, over time, lead to the emergence of strategic networks. As the performances of both the network actors and the whole network are strictly linked with the coordination and governance of network actors and their activities, this study aims to shed light on the ways in which the processes of network coordination and governance take place.

Structural Dynamics of Interfirm Knowledge Networks

In this chapter, we investigate the drivers of interfirm network structural dynamics and their influence on knowledge creation and diffusion processes that occur in such networks over time. Interfirm knowledge networks are complex webs of linkages connecting a variety of idiosyncratic firms within and across industries. Aimed to contribute to answer the recent calls for a more dynamic and multilevel view to understand network structures and processes, we leverage the complex network research to formulate a multilevel theoretical framework that clarifies the structural dynamics and knowledge creation and diffusion potential of interfirm networks.

Structural Dynamics and Intentional Governance in Strategic Interfirm Network Evolution

This paper aims to shed light on the drivers underlying the role and scope of intentional governance of the structural dynamics of whole interfirm networks. Prior research has distinguished network...

The Role Of Complex Leadership In Interfirm Strategic Networks: Enabling Effect Versus Emergence

In todays knowledge-based economy, the sources of competitive advantage lie more and more in webs of relationships among a variety of firms that over time originate the emergence of interfirm strategic networks. The paper aims to shed light on the role of complex leadership exerted by network central firms in promoting and supporting network interactions and the ensuing processes of knowledge and resource transfer and diffusion. Processes on which the network-based sources of competitive advantage are rooted. In the attempt to make the proposed contribution, on the one hand, we underscore the emergent nature of network interactions stemming from the self-organizing behaviors that spontaneously arise inside the interfirm strategic network. On the other hand, we show that the leadership action of network central firms sparks off enabling effects that join to self- organizing network behaviors. The result of the two mentioned forces is an expansion of the network interaction potential that permits both the networked actors and the strategic network as a whole to reach level of performance that may not be accomplished otherwise.