Linking scientific and practical knowledge in innovation systems

New research indicates that firms combining the science-based STI (Science, Technology, Innovation) and the experience-based DUI (Doing, Using, Interacting) modes of innovation are more efficient when it comes to improving innovation capacity and competitiveness. With regard to innovation policy, the STI mode calls for a supply driven policy, typically aimed to commercialise research results. The DUI mode suggests a demand driven policy approach, such as supporting the development of new products or services to specific markets. This paper analyses how the two types of innovation policy and the two innovation modes can be combined in regional innovation systems. The analysis builds on studies of the food industry and related knowledge organisations in two counties, Rogaland County (Norway) and Skåne County (Sweden), and two policy initiatives (NCE Culinology and Skåne Food Innovation Network) aimed at strengthening the innovative capability of the regional innovation systems. The analysis indicates that policies aimed to link science and user driven innovation activity should focus on building absorptive capacity of DUI firms (e.g. through increased scientific competence) and implementation capacity of STI firms (e.g. through increased market and process competence).innovation policy; scientific knowledge; practical knowledge; regional innovation systems; food industry; Norway; Sweden

KIBS and industrial development of cities.Labour mobility, innovation and client interaction

The paper departs from a seemingly disagreement between theoretical propositions stressing the importance of the KIBS sector as an innovation agent, and empirical results from quantitative innovation surveys. KIBS are increasingly seen to have a strategic role in stimulating innovation processes, particularly in large cities. However, the alleged importance of KIBS does not show up in empirical surveys. The surveys generally regard KIBS (or consultancy firms) to be of less importance as information sources and innovation partners. The paper somewhat supports the conclusions from the empirical surveys, pointing to the fact that parts of the literature attach larger importance to the role of KIBS in innovation processes than can be confirmed by empirical results. However, the low importance attached to KIBS in quantitative surveys may rely on the fact that surveys only seize some of the roles played by KIBS in innovation processes. Surveys do not map, for example, knowledge spillovers occurring through the mobility of workers. The paper demonstrates that many workers left the KIBS sector in Norway to start working in other sectors during parts of the 1990s, signifying a flow of knowledge following the workers out of the KIBS sector. However, the paper also demonstrates that the flow of knowledge via labour mobility first of all benefits the most central parts of Norway. Less knowledge is seen to flow from the KIBS sector in Oslo and the other large cities to other industries and other parts of the country.

Policy to support digitalisation of industries in various regional settings. A conceptual discussion

The purpose of the article is to analyse regions’ varying preconditions for digitalisation of industry and, on that basis, discuss regionally tailored policy strategies to stimulate digitalisation. Building on both regional innovation system and asset modification approaches, the authors suggest a theoretical framework that identifies regions’ potential for digitalisation from their stock of relevant assets at the firm and innovation system level. The analysis identifies four types of regions with different preconditions for supporting digitalisation of industries. This in turn provides the foundation for a discussion of the role of actor-based and system-based policy strategies to support digitalisation in each type of region. From the existing literature, the authors discuss empirical examples of digitalisation within each of the four types of regions but also highlight that individual regions need to tailor the portfolio of policy support within the identified strategy, as each region is structurally and institutionally unique.Policy to support digitalisation of industries in various regional settings. A conceptual discussionpublishedVersio