The IPP includes a data visualisation tool containing the main available indicators relevant to a country’s innovation performance. Indicators are sourced primarily from the OECD and the World Bank, as well as from other sources of comparable quality.
The tool provides the ability to customise the selection of comparator countries and time periods, to draw various types of attractive tables, charts and maps, and to export the data in a variety of formats.
The IPP’s Communities of Practice (CoPs) provides live and interactive spaces where you can participate in events, learn about projects and topics related to innovation policy, contribute to blogs and discussions and share documents. Welcome!
Why are innovation networks and clusters important?
Confronted with more intense global competition, rising costs, the growing integration of different technologies, shorter life cycle, and increased pace of innovation, companies increasingly collaborate with external partners—whether suppliers, customers or universities—to stay abreast of developments, expand their market reach, tap into a larger base of ideas and technology, find complementary expertise, access specific skills and competences and get new products or services to market before their competitors. Collaboration also fosters knowledge spillovers among actors, contributes to overcoming co-ordination failures (i.e. situations where business success fails because of a lack of co-operation) by facilitating coordination between actors, and encourage a better pooling of financial and human capital resources for innovation that result in economies of scales and can help support higher productivity and an increase in economies’ competitiveness.
What are the different types of innovation networks and clusters?
Dimensions characterizing innovation networks and clusters include:
Geographical clusters. This is a geographic concentration of firms, higher education and research institutions, and other public and private entities that facilitate collaboration on complementary economic activities.
What are the key policy dimensions regarding innovation networks and clusters?
The conditions shaping innovation networks and clusters constitute key policy dimensions policy makers should consider, as in the following examples.
Intellectual property rights (see Intellectual property rights): IPRs are crucial for innovation networks and clusters because they protect partners against involuntary knowledge leakage during collaboration.
Open innovation (see Open innovation): The rise of “open innovation,” whereby firms tap into external sources to develop innovations strengthens the role of innovation networks and clusters in the innovation process.
Globalisation/fragmentation of production. Greater fragmentation of production and higher specialisation of firms have increased the need for co-operation in order to integrate the different components of products and to get access to complementary knowledge and skills. Competition (see State of competition). Increased competition, shorter life cycle, and increased pace of innovation encourage businesses to collaborate in order to share costs and risks; find rapidly complementary expertise, specific skills and competences; and get new products or services to market before their competitors.
Availability of assets for sharing (see Firms’ capabilities and assets for innovation). In order to render co-operation valuable to all parties involved in networks, firms need to have valuable assets to share (e.g. specific skills and competences)
ICTs (see Impacts of ICTs and ICT access). Effective Information and Communication Technologies (ICT) access can significantly contribute to the success of innovation networks by improving information exchange and knowledge sharing.
What are the main approaches to policy in support to innovation networks and clusters?
Policy in support to innovation networks and clusters include among others: