Executive Summary (Data-Driven Innovation: Big Data for Growth and Well-Being)
Close to real-time analysis of large volumes of data (big data) – generated from a myriad of transactions, production and communication processes – is accelerating knowledge and value creation across society to unforeseen levels. Data-driven innovation (DDI) refers to significant improvement of existing, or the development of new, products, processes, organisational methods and markets emerging from this phenomenon.
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Published by OECD in 2015
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- Impacts of ICTs
- Knowledge creation, diffusion and commercialisation
- Addressing social challenges
- Contributions to growth and jobs
- Contributions to socio-economic objectives
- Directionality failures
- How can innovation contribute to socio-economic development?
- IP to address social challenges
- Policy rationales and objectives on financing innovation
- Rationales of IP for innovation
- Social innovation
- What is the role of innovation at different stages of development?
- Copyright
- Industrial design
- IP enforcement and litigation
- Types of IPR
- Space
- Innovation today
- Inclusive Innovation for Development
- The business environment for innovation
- Firms' capabilities and assets for innovation