R&D Network Life Cycles

This project is related to our research line: R&D networks.

Duration 30 months (May 2010 - October 2012)

Funding source Swiss National Science Foundation (Grant 100014_126865)

 

It is widely agreed that research and development (R&D), with its subsequent technological innovations, is the driving force in economic growth. The project aims at understanding the rise and fall of collaboration networks in R&D intensive industries. Different from many other projects on economic networks, this one does not just focus on network growth, but also on the decline. Together with repeated collaborations over a longer period of time, this may result in life cycles of R&D networks. This phenomenon is interesting not just from a scientific perspective, where empirical and theoretical investigations are still rare. It is also important for national economies such as Switzerland, which remarkably rely on technological innovation. Hence, from a policy perspective, it is important to know the driving forces behind firms' decision to start, or to drop, R&D alliances.

With our project, we address both the theoretical and the empirical investigation of R&D life cycles. The former resulted in developing agent-based models to explain structural features of real R&D networks. The latter allowed us to reveal such features in large-scale datasets of firm interactions, and to identify the specific characteristics of successful firms.  Among the major deliverables, there are several publications, talks at scientific conferences, and the creation of an intergrated dataset that can be further used in subsequent research on R&D networks. 

Selected Publications

Newcomers vs. incumbents: How firms select their partners for R&D collaborations

[2017]
Garas, Antonios; Tomasello, Mario Vincenzo; Schweitzer, Frank

arXiv:1403.3298

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The Rise and Fall of R&D Networks

[2016]
Tomasello, Mario Vincenzo; Napoletano, Mauro; Garas, Antonios; Schweitzer, Frank

ICC - Industrial and Corporate Change , pages: 617-646, volume: 26, number: 4

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A model of dynamic rewiring and knowledge exchange in R&D networks

[2016]
Tomasello, Mario Vincenzo; Tessone, Claudio Juan; Schweitzer, Frank

Advances in Complex Systems, volume: 19, number: 1 - 2

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Quantifying knowledge exchange in R&D networks: A data-driven model

[2015]
Tomasello, Mario Vincenzo; Tessone, Claudio Juan; Schweitzer, Frank

Journal of Evolutionary Economics (submitted). Available at SSRN and ArXiv.

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The Role of Endogenous and Exogenous Mechanisms in the Formation of R&D Networks

[2014]
Tomasello, Mario Vincenzo; Perra, Nicola; Tessone, Claudio Juan; Karsai, M'arton; Schweitzer, Frank

Scientific Reports, pages: 5679, volume: 4

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Newcomers vs. incumbents: How firms select their partners for R&D collaborations, 2017

Garas, Antonios; Tomasello, Mario Vincenzo; Schweitzer, Frank

A k-shell decomposition method for weighted networks

[2012]
Garas, Antonios; Schweitzer, Frank; Havlin, Shlomo

New Journal of Physics, pages: 083030, volume: 14, number: 8

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The efficiency and stability of R&D networks

[2012]
Koenig, Michael D; Battiston, Stefano; Napoletano, Mauro; Schweitzer, Frank

Games and Economic Behavior, pages: 694-713, volume: 75, number: 2

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Recombinant knowledge and the evolution of innovation networks

[2011]
Koenig, Michael D; Battiston, Stefano; Napoletano, Mauro; Schweitzer, Frank

Journal of Economic Behavior & Organization, pages: 145–164, volume: 79, number: 3

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