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The Socio-Economics of Digital Ecosystems Research: Policy Analysis and Methodological Tools

The Socio-Economics of Digital Ecosystems Research: Policy Analysis and Methodological Tools from an Argentinean Case Study. Lorena Rivera Le ón 1 , Rodrigo Kataishi 2 and Paolo Dini 1 (1) Department of Media and Communications London School of Economics and Political Science

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The Socio-Economics of Digital Ecosystems Research: Policy Analysis and Methodological Tools

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  1. The Socio-Economics of Digital Ecosystems Research: Policy Analysis and Methodological Tools from an Argentinean Case Study • Lorena Rivera León1, Rodrigo Kataishi2 and Paolo Dini1 • (1) Department of Media and Communications • London School of Economics and Political Science • (2) Instituto de Industria, Universidad Nacional de General Sarmiento • Buenos Aires, Argentina Final Policy Workshop London, 23-24 September 2010

  2. National STI policy Policy Regional development policy (LSE, UNGS) Social capital Connectivity Absorption capacity Governance Multi-stakeholder processes ICTs Where does our (LSE + UNGS) work fit in the context of this workshop? Indicators, data, statistics Smaller samples, greater reliance on qualitative research methods, non-equilibrium, complexity

  3. Overview  Digital Ecosystems & critical reflections  Theory  Empirical data  Regional indicators  Policy visualisation tool Rivera-León, L, Kataishi, R and Dini, P. The Socio-Economics of Digital Ecosystems Research: Policy Analysis and Methodological Tools from an Argentinean Case Study, in Innovation Support in Latin America and Europe: Theory, Practice and Policy in Innovation and Innovation Systems, selected papers from the 1st ISLAE Conference, Glasgow Caledonian University, 3-4 December 2009, Ashgate. Forthcoming.

  4. Knowledge and collaboration layer Social Interactions Academic Research Services: - any licensing model - B2B, B2C, etc Business Interactions Private investment Business Collaboration: - OSS governance - Business modelling languages - Standards Distributed Accountability Identity and Trust Distributed Open Source Infrastructure (Public Good) Academic Research Distributed Transaction Coordination Efficient & Reliable P2P Network Government ICT adoption policies for SMEs Digital Ecosystem as a ‘Value Stack’

  5. Questions  How do we critique this functionalist, normative, ‘mechanical’, technocentric, and Durkheim-nostalgic perspective on development and innovation?  Is it just a systemic, structuralist, collectivist and creative response to neo-liberalism?  Is there any room for the individual? Can DE research connect micro to macro?  How does DE research relate to modernity debates, Western or otherwise?  Has Foucault already begun to answer all these questions with his ‘apparatus’ (‘dispositíf’)???

  6. Theory (Paolo) Empirical data (Rodrigo) Policy design & implementation (Lorena & Rodrigo) Hypotheses & Feedbacks DE Hypotheses

  7. Structuralist/Collectivist perspective Individualist perspective (Giddens) Rationalism perspective Empiricism perspective (Popper) Subjectivist perspective Objectivist perspective (Giddens, Popper, Gadamer) Symmetry perspective (cell metabolism, ontogeny) Context dependence perspective (evolution, phylogeny) (Holland, Kauffman) (Essentialism) (Existentialism) Digital Ecosystems Research Tries to Reconcile Polar Opposites: Meta-Epistemological Framework

  8. New Methodology for DE Adoption Readiness: LAC ‘Evolution’ of Determinants for DE Adoption Readiness and DEs Hypotheses Regional Maturity Grade: EU

  9. Determinants of the ‘Successful’ Deployment of Collaboration Networks through DEs

  10. Production and Institutional Networks in Morón

  11. Morón (ARG): Sectoral Networks vs. the Metalworking Network

  12. Morón (ARG): Institutional Networks (All surveyed and 2nd degree)

  13. Mapping the Characteristics of a Set of Enterprises in a Given Region

  14. Policy Analysis Visualisation Tool (inverted variables)

  15. Policy Mixes for Enterprises and Regions

  16. Aggregate DE Readiness Indicators for Morón (inverted variables) (original variables)

  17. New Policy Indicators for Future Research?

  18. Conclusions  DEs as an approach that considers technology adoption as a social process driven by social networking and collaboration provides a context that facilitates the exploration of possible responses to conflicting normative requirements through a collective process guided by reflexive governance  In this paper we have introduced ‘formally’ network analysis and policy analysis to DE research from a socio-economic perspective, with an interesting consequence:  The same policy analysis visualisation tool facilitates the optimisation of policy mixes and recommendations at different levels: regional and multi-regional level, cluster level, sector level, firm level  The introduction of ‘new’ indicators that promise to be particularly effective is the consequence of applying a more uniformly self-consistent epistemology to the methods and methodologies used in SSH research that inform policy-making

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