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Guide to Research and Innovation Strategies for Smart Specialisation

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Step 1 - Analysis of the regional context <strong>and</strong> potential <strong>for</strong> innovation<br />

Differentiation is at the very heart of RIS3. The key <strong>to</strong> successful differentiation is <strong>to</strong> exploit<br />

related variety, suggesting that a regional economy can build its competitive advantage by<br />

diversifying its unique, localized knowledge base (existing specialisation) in<strong>to</strong> new<br />

combinations/innovations which are close or adjacent <strong>to</strong> it. Closeness is important because new<br />

combinations must be feasible or accessible given the existing assets, precisely in order <strong>to</strong><br />

exploit the experience accumulated by regional ac<strong>to</strong>rs (see box below).<br />

Analysing <strong>and</strong> assessing the potential <strong>for</strong> innovation-driven differentiation is crucial <strong>to</strong> create an<br />

evidence base <strong>for</strong> the prioritisation process in the RIS3. The necessity <strong>to</strong> carry out analyses of<br />

regional innovation potential was a fundamental starting point in the his<strong>to</strong>ry of regional<br />

innovation strategies in Europe. The focus was placed on a dual analysis: an analysis of SMEs<br />

needs <strong>and</strong> barriers <strong>for</strong> innovation; <strong>and</strong> an assessment of the support given by the infrastructure<br />

put in place in the region <strong>to</strong> support innovation.<br />

The confrontation of the results of the two analyses leads <strong>to</strong> a 'gap analysis', where mismatches<br />

between SMEs latent <strong>and</strong> implicit needs <strong>and</strong> dem<strong>and</strong> <strong>for</strong> support, on the one h<strong>and</strong>, <strong>and</strong> the<br />

effective value added of the existing support, on the other h<strong>and</strong>, are identified. Questions such as<br />

the visibility, the relevance <strong>and</strong> the effectiveness of the support infrastructure are at the heart of<br />

these analyses. This then leads <strong>to</strong> proposals <strong>for</strong> improvement of the innovation support<br />

infrastructure <strong>and</strong> better use of public funding, <strong>and</strong>, as a result of more effective support,<br />

improved innovation potential in regional firms<br />

Several methods can be used <strong>to</strong> collect <strong>and</strong> treat in<strong>for</strong>mation <strong>for</strong> such analyses. They have been<br />

described in a methodological guide using a decade of experience with Regional <strong>Innovation</strong><br />

<strong>Strategies</strong> (IRE 2006) 17 . The most widely used methods are desk research, large scale<br />

questionnaires (web-based or surveys) <strong>and</strong> personal interviews (face-<strong>to</strong> face, by telephone, or in<br />

working groups). A key feature brought in by these European Union-sponsored exercises was the<br />

introduction of external experts in this analytical phase.<br />

Especially <strong>for</strong> the 'supply' analysis, the benefits of bringing in an external view <strong>to</strong> address<br />

sensitive issues such as redundancies <strong>and</strong> overlaps, or lack of efficiency <strong>and</strong> effectiveness of<br />

agencies <strong>and</strong> programmes <strong>to</strong> support innovation, were demonstrated. These benefits were larger<br />

when the external consultants <strong>and</strong> experts were well embedded in<strong>to</strong> the exercise, when <strong>for</strong>eign<br />

experts teamed up with national or regional ones, <strong>and</strong> when they acted as coaches <strong>for</strong> the<br />

regional decision-makers (<strong>to</strong> ensure a strong legacy of their input, rather than one-off<br />

contribution).<br />

These analyses have the great value of introducing systematic, non-partisan <strong>and</strong> evidence-based<br />

in<strong>for</strong>mation on innovation <strong>and</strong> innovation support. In the most successful cases, international<br />

comparisons <strong>and</strong> benchmarking were also used in a smart way <strong>to</strong> improve regional policy.<br />

17 Innovative Regions in Europe Network (2006), RIS Methodological <strong>Guide</strong>, Stage 1.<br />

29

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