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White Spaces Innovation in Sweden - Innovation policy for ... - Vinnova

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WHITE SPACES INNOVATION IN SWEDENprivate sector. The approach applies accord<strong>in</strong>g to her equally to organizations and tosocietal and national issues.Plat<strong>for</strong>m content is a result of different sorts of measures with different <strong>policy</strong> rationales.One dist<strong>in</strong>ction can be made between market failures that affect exchange andtransactions. In <strong>in</strong>novation <strong>policy</strong> such market failures are associated with venture capital,<strong>in</strong><strong>for</strong>mation asymmetries, th<strong>in</strong> markets and property rights and the public goodscharacter of knowledge to mention the types of failures most often referred to. Theanalysis <strong>in</strong> the first section where knowledge flows, relationships and social capitalwere mentioned <strong>in</strong>dicates however that a set of systemic failures also becomes of <strong>in</strong>terest.Researchers mention <strong>in</strong>teraction failures, connectivity failures and communicationfailures and they are all related to the <strong>in</strong>terdependencies and heterogeneity betweenactors and/or resources. Market failures have a direct <strong>in</strong>fluence on the ability to takedecisions concern<strong>in</strong>g <strong>in</strong>dividual transactions and resonates with Mart<strong>in</strong>‟s (2009) idea ofthe algorithm as key <strong>for</strong> decision mak<strong>in</strong>g and thus <strong>for</strong> capacity to DO, (see Figure 5.1).Systemic failures affect <strong>in</strong>dividual transactions <strong>in</strong>directly by limit<strong>in</strong>g/block<strong>in</strong>g access toknowledge and by limit<strong>in</strong>g/block<strong>in</strong>g the search <strong>for</strong> novel solutions due to low quality ofrelational assets etc. These are factors of great importance <strong>for</strong> <strong>in</strong>novation which meansthat a <strong>policy</strong> mix to support <strong>in</strong>novation <strong>in</strong> a collaborative manner to take systemic aspects<strong>in</strong>to account. The consequence is that measures might be designed to <strong>in</strong>fluenceprimarily FORM (FORMA) i.e. the cognitive dimension, the knowledge dimension,KNOW and not only the real world, DO <strong>in</strong> the framework. Another difference is thatmeasures to affect FORM and KNOW have to take account of the <strong>in</strong>terpretative elementof sensemak<strong>in</strong>g and knowledge creation. This leads to recognition of a process perspectiveand “how-to” issues as we saw <strong>in</strong> chapter 4.To DO – make a decision, use a technology, co-produce a service- is an act whereknowledge as a cognitive and <strong>in</strong>tangible construct is impact<strong>in</strong>g on the tangible or realworld; where it becomes an asset <strong>in</strong> value creation, where it is a build<strong>in</strong>g block <strong>in</strong> capabilitybuild<strong>in</strong>g and where it is aga<strong>in</strong> contextualised. For <strong>policy</strong> purposes and also becauseof the contextual aspects of knowledge it is important to note that the abstractnotion of a selection environment or <strong>in</strong>teraction fields as we refer to them later on, <strong>in</strong>practice refers to “context markers” act<strong>in</strong>g as attractors like clusters, bus<strong>in</strong>ess ecosystems,technological regimes or <strong>in</strong>novation systems. Tak<strong>in</strong>g that type of analytical perspectiveis often associated with a multi-level perspective and often with a focus on somenotion of a meso level. One example which we have referred to is between technologicallandscapes, technological regimes and technological niches <strong>in</strong> what is called strategicniche management. The relationship between clusters and (regional) <strong>in</strong>novation systemscan be seen <strong>in</strong> the same way.100

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