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Multi-Level Perspective on Transitions×Transition Management×
분야Science Technology StudiesScience Technology Studies
계열Process / pipelineProcess / pipeline
기원 연도20022001
창시자Frank W. Geels (building on Arie Rip and René Kemp)Jan Rotmans, René Kemp & Derk Loorbach
유형Conceptual framework and analytic method for sociotechnical changePrescriptive, complexity-based governance framework
원전Geels, F. W. (2002). Technological transitions as evolutionary reconfiguration processes: a multi-level perspective and a case-study. Research Policy, 31(8-9), 1257-1274. DOI ↗Loorbach, D. (2010). Transition management for sustainable development: a prescriptive, complexity-based governance framework. Governance, 23(1), 161-183. DOI ↗
별칭MLP, Multi-level perspective framework, Sociotechnical transitions analysisTM, Transition governance framework, Transition arena approach
관련44
요약The 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.
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