Complete document available on OLIS in its original formatThis document and any map included herein are without prejudice to the status of or sovereignty over any territory, to the delimitation of international frontiers and boundaries and to the name of any territory, city or area. DSTI/ICCP(2015)18/FINAL Unclassified English -Or. English DSTI/ICCP(2015)18/FINAL
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FOREWORDThis report was prepared as part of the documentation for Panel 1.2 of the OECD Ministerial Meeting on the Digital Economy, "Stimulating Digital Innovation across the Economy". It provides information and discussion on policies for the successful adoption and use of information and communication technologies (ICTs) across the economy.Preparation of the document was undertaken by Christian Reimsbach-Kounatze, OECD, based on case studies provided by a group of volunteer countries including: Canada, China, Colombia, Germany, Japan, Korea, Mexico, Norway and Sweden. These case studies are made available in the Annex of the report.The Committee on Digital Economy Policy approved the declassification of this report in May 2016. It is published under the responsibility of the Secretary-General of the OECD. Digital innovation refers to: (i) in a narrow sense, the implementation of a new or significantly improved ICT product (good or service), i.e. ICT product innovation; and (ii) in a broader sense, to the use of ICTs to implement a new or significantly improved product, process, marketing method, or organisational method, i.e. ICT-enabled innovation. ICT product innovation is a major factor for the progressive decrease in ICT prices which remains a key driving force for ICT adoption, and thus for ICT-enabled innovation, across the economy.
Data and its analysis have become a fundamental input to innovation, akin to research and development (R&D).Data are an infrastructural resource -a form of capital that cannot be depleted and that can be used for a theoretically unlimited range of productive purposes. Available evidence suggests that firms using data-driven innovation (DDI) have raised productivity faster than non-users by around 5-10%. Greater access to data also has beneficial spill-overs, whereby data can be used and re-used to open up significant growth opportunities, or to generate benefits across society in ways that could not be foreseen when the data were created. In this sense, data are the new "R&D" for 21st century innovation systems.The adoption and use of ICTs including data analytics are associated with higher innovation performance. The share of businesses adopting ICTs is (20% to up to 70%) higher among innovators, depending on the year, the type of ICTs and the type of innovation considered. While differences between innovators and non-innovators are diminishing over time with regard to adoption and use of basic ICTs (such as broadband), they persist and even grow with respect to the use of more advanced ICTs (such as cloud computing). Evidence also shows that firms using data and analytics are more likely to innovate. Furtherm...