RMS Method – General Presentation v0.2
1.Introduction
The RMS method — Resources, Model, System — is designed to analyze economic, industrial, technological, and geopolitical decisions from a systemic perspective.
RMS emerges to address this gap. Its basic rule is:
Do not ask only what enters the system. Ask what system remains afterward.
2. Purpose of the Method
The purpose of the RMS method is to turn geoeconomic analysis into an ordered, replicable, and decision‑oriented protocol.
The method makes it possible to evaluate whether an investment, an industrial policy, a commercial dependency, a value chain, or a strategic technology:
increases autonomy
generates internal learning
strengthens local suppliers
reduces vulnerabilities
creates resilience
or, on the contrary, consolidates dependency, capture, lock‑in, and loss of capabilities
RMS does not aim to replace expert judgment. It aims to discipline it through a clear sequence of questions, filters, indicators, scenarios, and decisions.
What the RMS Method Is
The RMS method is a way of analyzing economic, industrial, or technological decisions from a systemic perspective.
RMS means:
R — Resources What critical assets are at stake: capital, energy, raw materials, technology, data, talent, suppliers, infrastructure, software, machinery, standards, and intellectual property.
M — Model How those resources are organized: ownership, financing, regulation, subsidies, value chains, location of R&D, technology transfer, data control, and the relationship between state, market, and firms.
S — System What trajectory this combination produces: autonomy, dependency, resilience, vulnerability, coercion, learning, capture, lock‑in, or point of no return.
4. RMS as a Complete Protocol
The RMS v0.2 is defined as a full systemic‑diagnosis protocol composed of screening, architectural auditing, RMS analysis —Resources, Model, System—, scoring, scenarios, regulatory toolbox, and comparative learning.
Its sequence can be summarized as:
Filter → audit → analyze → score → project → act → learn.
This means that the method does not begin with a grand theory. It begins with a concrete alert and advances through successive layers:
detecting whether a relevant dependency exists
checking whether it is commercial, architectural, or systemic
analyzing resources, model, and system
scoring the risk
testing stress scenarios
connecting the diagnosis to policy tools
incorporating the case into a comparative observatory
5. RMS as an Investment‑Analysis Protocol
An investment‑analysis protocol is an ordered guide of steps used to evaluate a potential investment before making a decision.
Traditionally, it examines objective, profitability, risk, liquidity, time horizon, and feasibility.
RMS adds a systemic layer. It asks:
What capabilities does the investment leave behind?
Who controls the technology?
Where is R&D located?
Which suppliers are developed?
Who controls data, software, and standards?
Does the investment generate learning or dependency?
What would happen under coercion or geopolitical deterioration?
What point of no return could emerge?
For this reason, RMS does not evaluate the investment only as a financial or industrial operation, but as part of a broader architecture of power and dependency
6. Specific Objectives of the RMS Project
The RMS project has six main objectives:
To build a clear method for analyzing systemic competition. RMS provides a structured framework to understand how power, capabilities, and dependencies evolve across economic, technological, and geopolitical systems.
To overcome the fragmented analysis of trade, technology, energy, industry, and geopolitics. Instead of treating each domain separately, RMS integrates them into a single systemic architecture.
To detect critical dependencies before they turn into crises. The method is designed to identify vulnerabilities early, especially those that may escalate into structural risks.
To distinguish between useful investment, tolerable dependency, structural dependency, and systemic risk. RMS creates a taxonomy that helps policymakers and analysts differentiate between benign exposure and dangerous lock‑in.
To connect diagnosis with scenarios and public‑policy tools. The method does not stop at identifying vulnerabilities; it links each type of risk to concrete instruments of action.
To build a comparative base of cases that allows learning and improving the method. RMS is conceived as an evolving protocol: each case contributes to a cumulative observatory of systemic competition
7. Structure of the RMS Manual v0.2
Presentation and Introduction to the Method
Explains why the RMS method was created and why the decisive question is no longer how much is invested or imported, but what system remains afterward.
Reference:
https://analisisrms.blogspot.com/2026/06/analisis-rms-introduccion-al-metodo.html
Theoretical Foundations
Places RMS within systems thinking, geoeconomics, European economic security, weaponized interdependence, and value‑chain resilience.
Reference:
https://analisisrms.blogspot.com/2026/06/proyecto-rms-para-geopolitica-y.html
RMS Framework Document v0.3
Functions as a foundational paper or essay: it explains the methodological gap that RMS seeks to fill and presents it as an academic‑operational protocol.
Reference:
https://analisisrms.blogspot.com/2026/06/el-metodo-rms-protocolo-de-diagnostico.html
RMS Manual v0.2
Defines the complete method, its main concepts, its application sequence, and the transition from Resources–Model–System toward a broader systemic‑diagnosis protocol.
The RMS Manual v0.2 turns the original intuition of the method into a full analytical architecture.
Reference:
https://analisisrms.blogspot.com/2026/06/2-manual-version-rms-v-02.html
Operational Redesign: Three Screenings
Introduces the method’s three preliminary filters: commercial‑productive screening, architectural screening, and systemic‑dynamic screening.
Not all dependencies matter equally; RMS distinguishes between commercial exposure, architectural control, and systemic trajectory.
RMS Critical Product Sheet v0.2 and Short Sheet
Allows analysts to decide whether a product, component, technology, investment, or value‑chain node deserves to move to the full RMS analysis.
The critical‑product sheet is the entry gate to the method: it separates ordinary dependencies from those with systemic potential.
Reference:
https://analisisrms.blogspot.com/2026/06/4-ficha-de-producto-critico-rms-v02_036342520.html
Inventory of European Metrics
Identifies which indicators already exist in European sources to measure trade, production, dependency, innovation, digitalization, raw materials, competitiveness, and value chains.
Before creating new indicators, RMS organizes available European data to avoid duplication.
Reference:
https://analisisrms.blogspot.com/2026/06/modulo-5-inventario-de-metricas.html
RMS Dashboard v0.2
Converts the analysis into scores, traffic‑light signals, and decisions through the Adjusted Systemic Risk metric.
The RMS dashboard transforms qualitative diagnosis into a comparable tool for scoring and prioritization
Reference:
https://analisisrms.blogspot.com/2026/06/modulo-6-tablero-rms-v02.html
RMS Scenarios v0.2
Subjects each dependency to three stress tests: continuity, targeted coercion, and sustained geopolitical deterioration.
A dependency that is safe only under normal conditions is not fully safe
Regulatory Toolbox
Connects each type of RMS risk with policy instruments: investment screening, trade defense, foreign‑subsidy control, critical raw materials, data, standards, industrial policy, or anti‑coercion tools.
RMS should not end by saying “there is a vulnerability,” but by indicating which tool to activate, with what intensity, and before which point of no return.
Reference:
https://analisisrms.blogspot.com/2026/06/8-modulo-8-caja-de-herramientas.html
Comparative Case Observatory
Creates an accumulating library to compare sectors, technologies, dependencies, investments, and geoeconomic shocks.
The observatory turns each RMS case into cumulative strategic learning.
Reference:
https://analisisrms.blogspot.com/2026/06/9-modulo-9-observatorio-de-casos.html
RMS Pilot Case v0.2
Applies the method to the Europe–China case in batteries, electric vehicles, and critical minerals to test its preliminary usefulness.
The pilot case shows that localizing production in Europe does not automatically mean controlling the value architecture.
Reference:
https://analisisrms.blogspot.com/2026/06/10-modulo-10-caso-piloto-rms-v02.html
Final RMS Application Guide v0.2
Organizes all modules of the method into a single, sequential, comparable, and replicable procedure.
The final guide turns RMS into a working process: alert → screening → analysis → dashboard → scenarios → response → observatory.
Reference:
https://analisisrms.blogspot.com/2026/06/11-modulo-11-guia-final-de-aplicacion.html analisisrms.blogspot.com
RMS Master Table v0.2
Functions as the final index of the complete manual and as a usage map of the method.
It integrates the RMS Manual v0.2, the three screenings, the sheets, the metrics inventory, the dashboard, scenarios, toolbox, observatory, pilot case, and final guide.
The master table shows that RMS is not an isolated matrix but a complete architecture of geoeconomic intelligence.
Reference:
https://analisisrms.blogspot.com/2026/06/12-modulo-12-tabla-maestra-rms-v02.html (analisisrms.blogspot.com in Bing)
8. Final Formula of the Method
The RMS v0.2 can be summarized in the following formula:
Observed system critical dependency architecture of control dynamic trajectory stress scenarios normative response comparative learning = RMS geoeconomic intelligence.
See systems. Understand power. Anticipate transformations
9. Closing
The RMS method does not aim to provide automatic answers. Its purpose is to formulate better questions.
In a world where competition is no longer fought only between companies, but between productive, technological, financial, and geopolitical systems, the fundamental question is not simply who produces more cheaply or who invests more quickly.
The fundamental question is:
Who is building the capabilities that will allow them to decide, resist, and adapt in the future?
Europe in the Age of Systemic Competition
https://eucompetenciasistemica.blogspot.com/
Europe / China
Systemic Competition: Challenges and Strategies
https://competenciasistemica.blogspot.com/
Risk Analysis
https://analisisyriesgoseconomia.blogspot.com/
Capitulo Epilogue —
The RMS framework—Resources, Model, System—emerges from a foundational analytical intuition: in economic, geopolitical, and industrial domains, observable outcomes rarely suffice to explain the underlying dynamics that generate them. A factory, an investment, an import flow, an alliance, or an innovation may appear beneficial at face value while simultaneously reshaping the system’s deeper architecture in ways that remain largely invisible.^1
Accordingly, the RMS method proposes a shift in the central analytical question.
Traditional metrics—capital inflows, job creation, production volumes, or prices—are insufficient. What must be examined instead are the capabilities being constructed, the dependencies being reinforced, the distribution of technological control, the ownership of knowledge, and the actors who dominate data, software, standards, machinery, and the intermediate segments of global value chains.^2
The method rests on a core premise: systemic shocks do not arise spontaneously. They are the visible manifestation of structural conditions accumulated over extended periods. Energy dependence, technological vulnerability, industrial erosion, shortages of critical materials, or digital subordination do not emerge overnight; they are the product of decisions that once appeared rational, efficient, or unavoidable.^3
This is the analytical contribution of the RMS approach.
RMS does not seek to dramatize all dependencies or to treat every economic relationship as a threat. Rather, it differentiates among them. Some dependencies are productive, generating learning, supplier development, R&D, skilled employment, and future substitution capacity. Others are tolerable because they do not affect critical nodes or compromise systemic autonomy. Yet some are structural: they produce visible output while leaving real control outside the system. Others are emergent: they still appear benign but silently accumulate vulnerability.^4
The purpose of RMS is to identify these distinctions before they crystallize into irreversible constraints.
Version 0.2 introduces a comprehensive analytical architecture comprising commercial‑productive screening, architectural auditing, systemic‑dynamic screening, the Resources‑Model‑System analysis, a risk board, scenario testing, a regulatory toolbox, and a comparative observatory. Each component fulfills a specific function. Screening isolates analytically relevant phenomena. Architectural auditing reveals control over the system’s invisible layers. RMS analysis clarifies how resources are organized. The risk board disciplines diagnostic reasoning. Scenarios test the resilience of dependencies under stress. The regulatory toolbox links diagnosis to policy action. The observatory transforms individual cases into cumulative learning.^5
In doing so, RMS addresses a recurrent weakness in strategic analysis: the capacity to describe problems accurately while failing to reach decisions in time.
The central question is not merely what vulnerability exists today, but what vulnerability is forming, what temporal lag conceals it, what feedback loop reinforces it, and what point of no return is approaching. In complex systems, late action often means acting after structural change has already occurred. Hence the core political principle of RMS:
Act before the lock‑in, not after the shock.^6
This principle does not entail automatic interventionism. It requires strategic intelligence. RMS does not advocate blocking all foreign investment, reducing all trade, or pursuing unattainable self‑sufficiency. It proposes something more demanding: evaluating each economic relationship according to the system it leaves behind.
A foreign investment may be beneficial if it transfers technology, localizes R&D, develops suppliers, creates skilled employment, respects data jurisdiction, and enhances future substitution capacity. The same investment may be problematic if it merely localizes assembly, captures subsidies, and retains software, intellectual property, critical machinery, standards, and strategic decision‑making outside the host system.^7
The distinction is not visible in investment announcements; it is visible in system architecture.
This is why RMS is particularly relevant for Europe. The European Union possesses market scale, regulatory capacity, knowledge, infrastructure, institutions, and normative power. Yet it also faces critical dependencies in energy, raw materials, batteries, semiconductors, defense, cloud services, artificial intelligence, digital platforms, and clean technologies. Europe’s challenge is not limited to price competition; it is to determine which capabilities must be preserved, which must be rebuilt, and which dependencies can be tolerated without undermining strategic autonomy.^8
RMS does not provide automatic answers. It does not eliminate uncertainty or replace political deliberation. But it structures complexity, separates signal from noise, distinguishes commercial vulnerability from systemic dependency, and transforms strategic intuitions into verifiable analytical questions.
Its ambition is simultaneously methodological and practical.
Methodological, because it proposes a more comprehensive approach to analyzing complex systems. Practical, because it requires each analysis to culminate in a decision: what risk exists, through what mechanism it emerges, under which scenario it intensifies, what point of no return threatens, and which policy lever must be activated.^9
Ultimately, RMS is a discipline of anticipation. Its task is not only to explain the present but to identify the future being constructed by current decisions.
For twenty‑first‑century competition is not determined solely by the final product. It is determined by the architecture that enables its production, financing, updating, scaling, protection, and substitution. It is determined by resources, by the model that organizes them, and by the system that emerges from their interaction.^10
The concluding question of the manual is therefore the same one that has guided the entire method:
What system remains afterward?
If a decision generates capabilities, learning, resilience, and autonomy, the system is strengthened. If it generates dependency, capture, lock‑in, and loss of capabilities, the system is weakened—even when short‑term indicators appear positive.^11
RMS exists to perceive this distinction.
And its guiding principle should close the manual:
Do not ask only what enters the system. Ask what system remains afterward.
On the distinction between visible outcomes and underlying structures, see Susan Strange, States and Markets (London: Pinter, 1988).
For technological control and value‑chain power, see Gary Gereffi, “Global Value Chains in a Post‑Washington Consensus World,” Review of International Political Economy 21, no. 1 (2014).
On structural accumulation of vulnerabilities, see Charles Perrow, Normal Accidents (Princeton: Princeton University Press, 1999).
For typologies of dependency, see Albert O. Hirschman, National Power and the Structure of Foreign Trade (Berkeley: University of California Press, 1945).
On multi‑layered system analysis, see Elinor Ostrom, “A Framework for Analyzing Social‑Ecological Systems,” Science 325 (2009).
For lock‑in dynamics, see W. Brian Arthur, “Competing Technologies, Increasing Returns, and Lock‑In by Historical Events,” Economic Journal 99 (1989).
On capability‑building vs. enclave investment, see Alice Amsden, Asia’s Next Giant (Oxford: Oxford University Press, 1989).
For European strategic autonomy debates, see European Commission, Strategic Dependencies and Capacities (2021).
On anticipatory governance, see David Guston, “Understanding Anticipatory Governance,” Social Studies of Science 44, no. 2 (2014).
For architecture‑based competition, see Carliss Baldwin and Kim Clark, Design Rules (Cambridge, MA: MIT Press, 2000).
On capability erosion and systemic weakening, see Dani Rodrik, Industrial Policy for the Twenty‑First Century (Harvard University, 2004).
https://analisisrms.blogspot.com/2026/06/13-epilogo.html