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MACTOR Actor Strategy Analysis

MACTOR — Matrix of Alliances and Conflicts: Tactics, Objectives, and Recommendations — is the actor-analysis method in Michel Godet's la prospective toolkit, designed to study the strategy game among the players who shape a system's future. Where structural analysis with MICMAC maps variables, MACTOR maps actors: it builds a matrix of the direct means of action each actor can exert on the others, from which it derives competitive-strength coefficients (the Ri ratios) that gauge each actor's power, and a second matrix recording where each actor stands, for or against, on the contested objectives at stake. By weighting actors' positions by their power and comparing them objective by objective, MACTOR computes the convergences and divergences among actors, revealing potential alliances, latent conflicts, and the balance of power. The result is a strategic diagnosis that informs scenario construction by exposing which futures the actor field would support or resist.

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Quellen

  1. Godet, M. (2006). Creating Futures: Scenario Planning as a Strategic Management Tool (2nd ed.). Economica. ISBN: 9782717852448

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ScholarGate. (2026, June 23). MACTOR Actor Strategy Analysis (Matrix of Alliances and Conflicts: Tactics, Objectives, Recommendations). ScholarGate. https://scholargate.app/de/futures-foresight-studies/mactor-actor-analysis

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ScholarGateMACTOR Actor Strategy Analysis (MACTOR Actor Strategy Analysis (Matrix of Alliances and Conflicts: Tactics, Objectives, Recommendations)). Abgerufen am 2026-06-24 von https://scholargate.app/de/futures-foresight-studies/mactor-actor-analysis · Datensatz: https://doi.org/10.5281/zenodo.20539026