Monitoring S3: Key dimensions and implications |
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| Institution: | 1. Department of Economics and Economic History, Autonomous University of Barcelona, ES, Spain;2. Department of the Vice-presidency and of Economy and Finance, Government of Catalonia, ES, Spain;1. Dept. of Educational Leadership, Research and Technology, Western Michigan University, United States;2. W. K. Kellogg Foundation, United States;1. Vantage Evaluation, United States;2. Claremont Graduate University, United States;1. 4.669 Evaluation and Planning, United States;2. Director of Evaluation, Syntek Technologies, United States;1. Division of Pulmonary and Critical Care Medicine, Johns Hopkins School of Medicine, USA;2. Department of Sociology, Anthropology, and Health Administration and Policy, University of Maryland, Baltimore County, USA |
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| Abstract: | Our work analyses the implications of a smart specialisation strategy (S3) monitoring model based on a system that considers three main axes linked to the logic of the strategies: output/results, smart specialisation process, and a learning component, on which we build our main approach. This strategic learning is based on the logic that S3 presents a new paradigm within the innovation policy scope that requires the inclusion of monitoring schemes that integrate the assessment of the dynamic process under which both public administration and other innovation stakeholders learn and improve their activities (within and without the strategy) thanks to the learning gathered throughout S3 (and its instruments and projects) implementation. The article also discusses this logic within the current and the next programming period for S3, and the role monitoring has or will have, while analysing the opportunities and challenges it presents. |
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| Keywords: | Smart specialisation strategies Innovation policy Monitoring systems |
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