Σύγκριση μεθόδων

	MICMAC Structural Analysis	La Prospective Morphological Scenarios
Πεδίο	Futures Foresight Studies	Futures Foresight Studies
Οικογένεια	Process / pipeline	Process / pipeline
Έτος προέλευσης	2006	2006
Δημιουργός	Michel Godet with Jean-Claude Duperrin (LIPSOR)	Michel Godet (LIPSOR, Conservatoire national des arts et metiers)
Τύπος	Matrix-based pipeline for classifying system variables by influence and dependence	Combinatorial scenario-construction pipeline within La Prospective
Θεμελιώδης πηγή	Godet, M. (2006). Creating Futures: Scenario Planning as a Strategic Management Tool (2nd ed.). Economica. ISBN: 9782717852448	Godet, M. (2006). Creating Futures: Scenario Planning as a Strategic Management Tool (2nd ed.). Economica. ISBN: 9782717852448
Εναλλακτικές ονομασίες	MICMAC, Structural Analysis, Cross-Impact Matrix Multiplication Applied to a Classification, Matrice d'Impacts Croises	Godet Morphological Scenarios, Prospective Scenario Building, French School Scenario Method, Morphologie des scenarios
Συναφείς	3	4
Σύνοψη	MICMAC — Matrice d'Impacts Croises Multiplication Appliquee a un Classement, or Cross-Impact Matrix Multiplication Applied to a Classification — is the structural-analysis tool at the front of Michel Godet's la prospective method. Developed by Godet with Jean-Claude Duperrin, it starts from a square matrix in which experts record the direct influence of each system variable on every other, then raises that matrix to successive powers to uncover the indirect influences that propagate along chains of variables. Summing the rows and columns of the iterated matrix yields each variable's overall influence and dependence, and plotting variables on the influence-dependence plane sorts them into driving (key) variables, dependent (result) variables, relay variables, and autonomous variables. The purpose is not prediction but diagnosis: to reveal which hidden variables truly drive the system, so that later scenario work focuses on the factors that matter.	Within the French school of la prospective developed by Michel Godet, morphological scenario construction is the integrating stage that turns the outputs of structural and actor analysis into a small set of coherent images of the future. Building on Fritz Zwicky's morphological method, Godet decomposes the studied system into a set of dimensions or components, attaches to each a few mutually exclusive hypotheses about how it might evolve, and treats the Cartesian product of these hypotheses as the morphological space of all conceivable futures. Because that space is combinatorially large, the method's analytical work lies in reducing it: pruning combinations that are internally incoherent, implausible, or incompatible with the strategies of key actors, until a handful of contrasted, self-consistent scenarios remain. Distinct from general morphological analysis, this is the scenario-building application that consumes the variables identified by MICMAC and the actor positions mapped by MACTOR.