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Innovation System Functions Analysis×Transition Management×
OblastScience Technology StudiesScience Technology Studies
PorodicaProcess / pipelineProcess / pipeline
Godina nastanka20072001
TvoracMarko Hekkert, Roald Suurs and colleaguesJan Rotmans, René Kemp & Derk Loorbach
TipFunctional analysis framework with event-history methodPrescriptive, complexity-based governance framework
Temeljni izvorHekkert, M. P., Suurs, R. A. A., Negro, S. O., Kuhlmann, S., & Smits, R. E. H. M. (2007). Functions of innovation systems: a new approach for analysing technological change. Technological Forecasting and Social Change, 74(4), 413-432. DOI ↗Loorbach, D. (2010). Transition management for sustainable development: a prescriptive, complexity-based governance framework. Governance, 23(1), 161-183. DOI ↗
Drugi naziviFunctions of innovation systems, Seven functions approach, Event-history innovation analysisTM, Transition governance framework, Transition arena approach
Srodne44
SažetakFunctions of Innovation Systems analysis explains technological change by examining how well an innovation system performs seven key functions—entrepreneurial activities, knowledge development, knowledge diffusion, guidance of the search, market formation, resource mobilisation, and the creation of legitimacy. Associated with Hekkert, Suurs, and colleagues at Utrecht, the approach operationalises these functions through event-history analysis: a chronological dataset of innovation events is coded, functional performance is tracked over time, and the reinforcing feedback loops—the 'motors' of cumulative causation—that drive a system's rise or stagnation are identified.Transition Management (TM) is a prescriptive, complexity-based governance framework for deliberately steering long-term, structural change in sociotechnical systems toward sustainability. Rather than predicting or controlling outcomes, it organises a cyclical, participatory process—strategic, tactical, operational, and reflexive activities—through which a small group of frontrunners develops shared long-term visions, translates them into agendas and coalitions, mobilises experiments, and continuously monitors and learns. It applies insights from transitions research to the question of how societies might govern their own transformations.
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