Hunting scale-free properties in R&amp;D collaboration networks: Self-organization, power-law and policy issues in the European aerospace research area

Biggiero, Lucio; Angelini, Pier Paolo

doi:10.1016/j.techfore.2014.04.009

Cited by 40 publications

(17 citation statements)

References 115 publications

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“…The growth dynamics of business and university research activities are scale-invariant [ 67 , 68 ]. A recent study of the European aerospace research area shows a variety of scale-invariant topologies in joint venture networks [ 69 ]. Also, a variety of scale-independent measures has been used to explore the Chinese innovation system [ 70 ].…”

Section: Innovation Systems and Scaling Propertiesmentioning

confidence: 99%

What Is a Complex Innovation System?

Katz

2016

PLoS ONE

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Innovation systems are sometimes referred to as complex systems, something that is intuitively understood but poorly defined. A complex system dynamically evolves in non-linear ways giving it unique properties that distinguish it from other systems. In particular, a common signature of complex systems is scale-invariant emergent properties. A scale-invariant property can be identified because it is solely described by a power law function, f(x) = kxα, where the exponent, α, is a measure of scale-invariance. The focus of this paper is to describe and illustrate that innovation systems have properties of a complex adaptive system. In particular scale-invariant emergent properties indicative of their complex nature that can be quantified and used to inform public policy. The global research system is an example of an innovation system. Peer-reviewed publications containing knowledge are a characteristic output. Citations or references to these articles are an indirect measure of the impact the knowledge has on the research community. Peer-reviewed papers indexed in Scopus and in the Web of Science were used as data sources to produce measures of sizes and impact. These measures are used to illustrate how scale-invariant properties can be identified and quantified. It is demonstrated that the distribution of impact has a reasonable likelihood of being scale-invariant with scaling exponents that tended toward a value of less than 3.0 with the passage of time and decreasing group sizes. Scale-invariant correlations are shown between the evolution of impact and size with time and between field impact and sizes at points in time. The recursive or self-similar nature of scale-invariance suggests that any smaller innovation system within the global research system is likely to be complex with scale-invariant properties too.

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Section: Innovation Systems and Scaling Propertiesmentioning

confidence: 99%

What Is a Complex Innovation System?

Katz

2016

PLoS ONE

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“…Particularly since the early 2000s, numerous policy interventions of this kind have been implemented at national and regional levels (Hagedoorn et al, 2000;Branstetter and Sakakibara, 2002;Caloghirou et al, 2004;Cunningham and Ramlogan, 2012;Crespi and Quatraro, 2013). At supra-national level, the EU Framework Programmes (FP) have provided funding to networks of cooperating organisations for almost three decades (Breschi and Malerba, 2009;Tindemans, 2009;Biggiero and Angelini, 2014).…”

Section: Introductionmentioning

confidence: 99%

Networked by design: Can policy requirements influence organisations' networking behaviour?

Rossi

Caloffi

Russo

2016

Technological Forecasting and Social Change

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An important, but under-researched, question in relation to policies funding networks of innovators is:what kind of innovation networks should be supported, if the policy objective is not just to sponsor successful innovation projects, but also to encourage the participants to form networks with desirable characteristics? Focusing on a set of policy programmes implemented by the regional government of Tuscany, in Italy, between 2002 and 2008, aimed at funding networks of collaborating organisations, we investigate whether the imposition of requirements on the composition of the networks that would be eligible for funding -in particular, the demand that networks should comply with minimum size and heterogeneity thresholds -influenced the participants' networking behaviour in the context of successive policy interventions. Our results show that these requirements immediately affected the size and composition of the project networks that applied for funding, although not always in the intended direction. However, these effects did not extend to the successive periods, when those requirements were no longer in force. This suggests that the imposition of policy requirements, per se, is unlikely to induce persistent changes in organizations' networking behaviour. Other approaches such as implementing outreach actions in order to encourage new organisations to participate in existing innovation networks and to form new ones, and additional measures designed to foster learning opportunities for the participants, might be more effective tools to influence the networking behaviour of participating organisations.

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“…Rules can never be legislated, but all participants follow them. Some foreign researchers speak of collaboration as a self-governing organization according to its internal rules [5].…”

Section: Advances In Economics Business and Management Research Volmentioning

confidence: 99%

Organizational and Legal Foundations of the Creation and Functioning of Collaborations

Aisner¹,

Сочнева²,

Chervyakov³

2020

Proceedings of the “New Silk Road: Business Cooperation and Prospective of Economic Development” (NSRBCPED 2019)

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In the modern world, a new socioeconomic phenomenon has appeared-a collaboration, which is understood as the association of two or more persons for the joint implementation of innovative directed activities in the form of a project. And although this phenomenon appeared relatively recently, however, in practice, such associations have been present in the economy for a long time. These included innovative public-private partnerships, and technology parks, and strategic scientific alliances, etc. There are many types and forms of collaboration in which there are both legal entities and individuals. The collaboration differs significantly from the usual organization, and, first of all, in that its participants share a common goal, and informal relationships prevail within the collaboration. A collaboration on content in terms of institutional theory is a relational contract for interspecific resources. That is, we are talking about a contract based on which there are no legal relations, or they are minimized, and its resources (that is, people) are mutually unique and complementary. However, collaboration may not always exist outside the legal field. International collaborations and collaborations between business units should be based on a contractual relationship, which reflects the principles of sharing the benefits and attributing costs. This is the object of contracts between the participants in the collaboration.

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Hunting scale-free properties in R&D collaboration networks: Self-organization, power-law and policy issues in the European aerospace research area

Cited by 40 publications

References 115 publications

What Is a Complex Innovation System?

What Is a Complex Innovation System?

Networked by design: Can policy requirements influence organisations' networking behaviour?

Organizational and Legal Foundations of the Creation and Functioning of Collaborations

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