Power-Influence Analysis

When the Formal Authority Has Already Lost

A space governance negotiation on a technical topic — conjunction data sharing, say, or a new debris-mitigation standard — reaches its final session with the expected outcome visibly settled. On paper, the decision sits with the delegated body; in practice, the text that will be adopted has already been shaped, months earlier, by a commercial actor with no vote, no formal standing, and no mandate. The commercial actor has supplied the operational data that every delegate uses as the baseline. The commercial actor has drafted the technical annex that is now the working document. The commercial actor is, in any honest reading, the decisive influence in the room, and the formally empowered actors are ratifying a consensus they did not construct.

This pattern is not rare. It is the ordinary operation of governance in domains where formal authority and operational capability do not coincide. Stakeholder maps that stop at the question “who has authority” routinely misidentify who will shape the outcome. They produce neat diagrams of committees and votes and miss the actor whose leverage comes from owning the information everyone else needs. They treat power as a static attribute rather than a set of mechanisms operating through different channels at different moments.

Power-influence analysis exists to address this gap. Its claim is that who has power is a less useful question than how power is exercised, through what channels, and with what effects. The method does not replace stakeholder mapping; it overlays explanatory depth onto it. Stakeholder mapping identifies the actors; power-influence analysis explains why certain actors prevail and others, despite apparent authority, do not.

A Lineage Built in Three Passes

The method’s intellectual foundation comes from three successive theoretical contributions, each of which exposed a dimension of power the previous generation had missed.

Steven Lukes, in a slim 1974 book on the three dimensions of power, synthesised an earlier debate between Robert Dahl’s “first face” of power — direct decision-making — and Peter Bachrach and Morton Baratz’s “second face” — agenda-setting, the ability to determine what gets discussed. Lukes added a third dimension: ideological shaping, the ability to influence what actors perceive as legitimate or possible in the first place. The third face operates invisibly; an actor exercising it does not need to win debates, because the debates that would threaten its interests never form. For space governance, Lukes’ framework explains why some questions — the commercial basis of debris mitigation, for instance, or the legitimacy of orbital resource appropriation — remain marginal in formal fora despite their substantive importance.

John French and Bertram Raven, writing nearly two decades earlier in social psychology, had produced a different decomposition: five bases of power, later expanded to six. Coercive power rests on the ability to impose costs; reward power on the ability to confer benefits; legitimate power on recognised authority; expert power on knowledge; referent power on identification or prestige; informational power on access to critical data. Their taxonomy disaggregates what Lukes left aggregated, and it gives the analyst a vocabulary for the specific mechanism by which an actor exercises influence.

Michael Barnett and Raymond Duvall, writing in an international-relations context in 2005, added a fourth layer. Their fourfold taxonomy — compulsory, institutional, structural, productive — maps power not only as an attribute of actors but as a property of relations and structures. Compulsory power is direct control over another’s circumstances; institutional power operates through rules and procedures; structural power shapes actors’ relative positions within a system; productive power generates the discourses through which actors understand themselves. For the space domain, Barnett and Duvall’s framework captures why a standards body can exercise far greater influence than a treaty negotiation, and why dominance in discourse about orbital sustainability has material consequences independent of votes cast.

Together, these three contributions supply the method’s scaffolding. Power-influence analysis is not a single theory; it is a synthesis that forces the analyst to read power across visible and invisible channels, across formal and informal bases, and across actor-level and structural levels simultaneously.

The Diagnostic Move

What power-influence analysis sees that stakeholder mapping does not is the gap between formal authority and actual influence. Stakeholder mapping asks which actors are in the room. Power-influence analysis asks which actors are actually shaping the outcome, which may be a different list.

What distinguishes power-influence analysis from neighbouring methods is its insistence on invisible and structural channels. Stakeholder mapping names the visible actors. Network-alliance analysis traces formal relationships. Decision-process analysis examines procedural mechanics. Power-influence analysis examines what is operating beneath all of these — the second and third faces of power, the informational and normative channels, the structural positions that formal procedures only partially capture.

The Analysis at Work: Debris Governance

Consider a governance arena around orbital debris mitigation. The formally empowered actors are states acting through the Committee on the Peaceful Uses of Outer Space and, domestically, through their national licensing authorities. A stakeholder map places these actors at the centre of the diagram. An uncritical reading would forecast outcomes on the basis of state preferences and voting weight.

A power-influence reading redraws the picture. A major launching state — let us call it State A — holds formal authority through its treaty standing and its dominant position as a licensing jurisdiction for commercial operators. Its agenda-setting capacity in the relevant multilateral body is substantial; it has chaired working groups and has the procedural competence to shape the rhythm of negotiations. An emerging space state — State B — has formal treaty standing but limited technical capability, depends on State A for launch services, and is structurally weak within the negotiation despite its equal vote.

So far, a conventional reading. But the power-influence map introduces a third actor: a commercial operator, let us call it Operator C, with a global situational-awareness network and proprietary conjunction data at a resolution that no state possesses independently. Operator C has no formal authority in the governance arena. It does not vote. It is not, in the stakeholder map’s traditional sense, even a stakeholder. But its informational advantage is decisive: every state’s position on conjunction-response obligations depends on data that Operator C supplies, and the technical framing that structures the debate is built on Operator C’s methodology.

The mechanism read is sharper. Operator C exercises influence through three channels: selective disclosure (choosing which conjunction events become publicly known and on what timeline), technical framing (establishing the metrics by which compliance is measured), and working-group presence (quietly embedding representatives as technical experts in sessions where formal delegates defer to expertise). Each channel is invisible in the stakeholder map. Each is decisive in the outcome.

The dependency map reveals the asymmetry. State B depends on State A for launch access; State A depends on Operator C for conjunction data; Operator C depends on state jurisdictions for operating licences. The structural bottleneck is not State A, despite its apparent centrality; it is Operator C, whose informational advantage gives it leverage over both states’ positions. A decision Operator C dislikes will not reach consensus, because the technical case for it will quietly lack support.

The dynamic reading completes the picture. Operator C’s influence is rising, not stable. As its data quality improves and its commercial customer base grows, its normative authority — its ability to define what counts as best practice — is expanding. State A’s relative influence, correspondingly, is declining, not because its formal authority has weakened but because the informational channel on which influence now operates has moved outside the state system.

The analytical finding is one that stakeholder mapping could not reach. The governance outcome will be shaped primarily by a non-state actor exercising informational and normative power, mediated through formal state processes that are, in substance, ratifying a consensus constructed elsewhere. For a client considering how to influence the outcome — whether through diplomatic engagement with State A, capacity-building support for State B, or technical partnership with Operator C — the power-influence reading says clearly that the third option is the leverage point.

Where It Shines, Where It Zoppica

Power-influence analysis shines where formal authority and operational influence diverge. It is the method that surfaces the commercial operator shaping a treaty negotiation from the technical annex, the standards body whose quiet choices determine the behaviour of formally sovereign states, the informational monopoly that outranks the voting majority. For any governance arena where decisions do not map cleanly onto authorised decision-makers — which is most consequential arenas in space — the method is indispensable.

Its limits are sharp and mostly concern observability. Agenda-setting and structural power operate invisibly by construction. The method requires the analyst to infer their presence from outcome patterns, institutional design choices, and the absence of questions that would otherwise arise. These inferences are fragile and analyst-dependent. A different analyst reading the same arena may reach a different power map. The discipline is to declare the assumptions explicitly and to triangulate with observable evidence wherever possible.

Measurement is qualitative by nature. Power cannot be quantified in the way market share or voting weight can. Ordinal rankings — strong, moderate, weak — are the honest ceiling, and analysts who produce numerical power scores are usually smuggling false precision past their readers. The method’s outputs are interpretive readings, defensible by argument rather than calculable by formula.

Temporal fragility is a recurring issue. Power distributions shift; an analysis produced this year is partial within two. The method requires the analyst to annotate temporal validity and to recommend re-reading on a schedule. Static power maps in fast-moving arenas mislead.

The dual-use and classified dimensions of space create information gaps the method cannot close. Important capabilities are unobservable to open-source analysts. The discipline is to note the gap explicitly and to scope findings to the evidence available.

The method is descriptive, not prescriptive. It tells the analyst what the distribution of influence is; it says nothing about whether the distribution is legitimate. For normative questions — should this actor have this much influence — the method must be paired with ethical or legitimacy frameworks that sit outside its scope.

Power-influence analysis pairs naturally with stakeholder mapping, which supplies the actor inventory the method then reads in depth; with network-alliance analysis, which traces the relational structures in which power operates; with game theory, which formalises the payoff consequences of the power asymmetries identified; and with constructivist analysis, which handles the normative and discursive channels the method recognises but does not itself theorise.

A Note for the Practitioner