Table of Contents

Handbook of Innovation Indicators and Measurement

Handbook of Innovation Indicators and Measurement

Elgar original reference

Edited by Fred Gault

This Handbook comprehensively examines indicators and statistical measurement related to innovation (as defined in the OECD/Eurostat Oslo Manual). It deals with the development and the use of innovation indicators to support decision-making and is written by authors who are practitioners, who know what works and what does not, in order to improve the development of indicators to satisfy future policy needs.

Chapter 16: Foresight and science, technology and innovation indicators

Dirk Meissner and Alexander Sokolov

Subjects: business and management, organisational innovation, economics and finance, economics of innovation, innovation and technology, economics of innovation, innovation policy, organisational innovation, politics and public policy, public policy


Technology foresight as one of the key areas of forward-looking activities over the last two decades has become a tool with a significant influence on science, technology and innovation (STI) policies in many countries worldwide, with a much longer tradition in Japan and a few other countries. Since the early 1990s foresight has been evolving from an instrument to assess future prospects of individual research areas to an integral part of STI policy formulation and implementation. Luke Georghiou singles out five generations of foresight (Georghiou et al. 2008: 15–16) that vary from mainly forecasting that refers to the internal dynamics of technology to a wide mix of activities aimed at either structures of actors within the STI system or the STI dimensions of the broader social or economic context. Foresight can affect the innovation performance of a country through different channels. In the present globalization context in the industrialized nations it is accepted that an explicit and coherent STI policy is essential for economic and social development. Foresight studies affect STI policy strategy decisions by supporting priority setting. They create, in addition, crucial networks and interactions between participants in the national system of innovation and contribute to the acceptance of new developments and to the consideration of all of the technological potentials (Martin 1995).

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