Compara mètodes

	Technological Innovation Systems	Transition Management
Camp	Science Technology Studies	Science Technology Studies
Família	Process / pipeline	Process / pipeline
Any d'origen	2008	2001
Autor original	Anna Bergek, Staffan Jacobsson, Bo Carlsson and colleagues	Jan Rotmans, René Kemp & Derk Loorbach
Tipus	Systems-of-innovation framework and scheme of analysis	Prescriptive, complexity-based governance framework
Font seminal	Bergek, A., Jacobsson, S., Carlsson, B., Lindmark, S., & Rickne, A. (2008). Analyzing the functional dynamics of technological innovation systems: a scheme of analysis. Research Policy, 37(3), 407-429.	Loorbach, D. (2010). Transition management for sustainable development: a prescriptive, complexity-based governance framework. Governance, 23(1), 161-183.
Àlies	TIS analysis, Technological innovation system approach, Functional dynamics scheme	TM, Transition governance framework, Transition arena approach
Relacionats	4	4
Resum	Technological Innovation Systems (TIS) analysis studies the emergence, growth, and performance of a specific technology by treating it as a system of actors, networks, and institutions that interact to generate, diffuse, and use that technology. Building on the systems-of-innovation tradition, the influential scheme of Bergek and colleagues combines a structural account of the system's components with a functional analysis of the key processes—or functions—that an innovation system must perform, then compares achieved with desired functionality to diagnose inducement and blocking mechanisms and derive policy.	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.