方法对比

	Multi-Level Perspective on Transitions	Transition Management
领域	Science Technology Studies	Science Technology Studies
方法族	Process / pipeline	Process / pipeline
起源年份	2002	2001
提出者	Frank W. Geels (building on Arie Rip and René Kemp)	Jan Rotmans, René Kemp & Derk Loorbach
类型	Conceptual framework and analytic method for sociotechnical change	Prescriptive, complexity-based governance framework
开创性文献	Geels, F. W. (2002). Technological transitions as evolutionary reconfiguration processes: a multi-level perspective and a case-study. Research Policy, 31(8-9), 1257-1274.	Loorbach, D. (2010). Transition management for sustainable development: a prescriptive, complexity-based governance framework. Governance, 23(1), 161-183.
别名	MLP, Multi-level perspective framework, Sociotechnical transitions analysis	TM, Transition governance framework, Transition arena approach
相关	4	4
摘要	The Multi-Level Perspective (MLP) is a middle-range framework for analysing how large sociotechnical systems—energy, mobility, food, water—shift from one dominant configuration to another. It locates change in the interplay of three analytic levels: protected niches where radical novelties incubate, the incumbent sociotechnical regime that structures ordinary practice, and a slow-moving exogenous landscape. Transitions occur when landscape pressures destabilise the regime and open windows of opportunity for maturing niche innovations to break through.	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.