Quality of data, information and knowledge in regional foresight processes

Abstract

A central subcategory of futures research is technology foresight. There is a concern that today's technology foresight processes do not serve technology-political decision-making and strategy processes of companies well enough. The regional level needs to be emphasized, too, and the inclusion of a wide variety of actors and organizations. There is a danger that results of foresight processes are not absorbed into regional strategy-making processes, leading to a “black hole of interpretation and implementation of foresight knowledge”. Particularly knowledge, but also data and information are crucial concepts in foresight processes. An important issue is how to transform foresight information into future-oriented innovation knowledge. Concrete tools and institutional settings to enhance data, information and knowledge quality in foresight processes and strategy work are needed. This article investigates limitations of established foresight processes and planning approaches, limitations in practical utilization of results of foresight processes, and quality of data, information and knowledge as concrete tools and as a systematic response to limitations. The article is partly based on empirical results from a technology foresight survey undertaken in Finland in 2005. The research responds to societal and academic interest by combining the fields of (i) futures research and (ii) data, information and knowledge quality. Future-oriented considerations are not routine tasks, which makes it especially challenging and important to ensure that these processes benefit from data, information and knowledge of good quality.