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Global Value Chain Mapping and Capability Audit

Mapping cross-sectoral and cross-regional value chains for emerging sectors, technologies and thematic prototypes enhance the knowledge of regional stakeholders of their own capabilities and prepares them for inter-regional collaboration.

  • Collaborative model of governance
  • Multi-stakeholder engagement for the selection of smart specialisation strategies and development of implementation plans
  • Dialogue around the challenges for growth and internationalisation
  • Critical understanding of skills gaps and entrepreneurial potential
  • Production of evidence of concentration of regional and industry capabilities in strategic groups of firms – as flagship resources and evidence of critical mass
  • Detection of relevant linkages and flows of goods, services and knowledge, revealing possible patterns and pathways of product and service integration with partner regions and firms
  • To reveal synergies and complementarities across sectors and segments of the regional economy
  • Visualisation of emerging business opportunities and input-output market relationships
  • Understanding of supply chain linkages and potential for R&D partnerships
  • Strategic value chain optimisation, aiming to exploit upstream economies of scale, downstream economies of scope and how to minimise coordination costs
  • Leveraging core assets and synergies from multi-product and multi-technology operations
  • Facilitated input-output market relationships and fostering inter-regional collaborations through match-making
  • Learning from foreign market activities and inter-regional collaborations for enhanced absorptive capacity of local firms

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Presentation results »




GVC mapping is an enabler in the policy implementation process, collecting evidence both for the supply and the demand side in a region, and identifying the lead business actors that can drive the value chain integration.

The BCNED methodology for value chain mapping is based on the use of comprehensive dataset of firms including local SMEs, multinational enterprises and foreign subsidiaries. Extensive firm datasets enable the identification of industry segments and boundaries, and critical mass of capabilities at regional and national level. The mapping uses a portfolio of complementary analytical techniques, exploring inter-industry relationships and strategic value chain groups.


Analytical Services

Based on pattern recognition and network mapping. Structural Analysis (using cluster and network analysis techniques), Relational Analysis, Semantic Mapping, Network Visualisation, in addition to the standard statistical analysis of data.


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Triple Helix for Action,

Triple Helix for Action, Entrepreneurial Discovery and Implementation Process.

Training programme with leading experts in the field of Triple Helix and university-industry-government interactions.

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Cluster mapping and cluster analysis services

The BCNED Team offers a comprehensive cluster mapping and cluster analysis of sectoral business activities.

Cluster mapping is based on a proprietary multi-stage methodology that encompasses formal statistical methods and analytical procedures.

The cluster analysis is based on complementary databases and includes performance analysis of sectoral activities, value chain analysis, partnership mapping and analysis of inter-firm relationships, among others.


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Benchmarking and impact analysis

BCNED Team offers comprehensive cluster mapping and cluster analysis of sectoral business activities and business performance of strategic business groups.


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Blog analysis

The BCNEDTeam offers a comprehensive blog analysis for mapping on-line public opinion and emerging community leaders

Blog Analysis is based on a proprietary methodology that includes web-search techniques,network analysis, and analysis of texts for a selected field of enquiry.


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Sponsorship networks

The BCNED Team offers an innovative approach to analysis of events and sponsorshipby looking at patterns and networks.

Our maps of events and sponsors will enable you to uncover patterns of preferences and activities that affect sponsor attitude.

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