edVirtus Reference

Who Is Fran Ackermann?

Fran Ackermann: The Management Scientist Who Connected Causal Mapping, Strategy, and Group Model Building

Fran Ackermann is a management scientist and operational researcher whose work connects Cognitive mapping, strategy, Stakeholder management, System dynamics, group decision support, and the management of complex projects. With Colin Eden and other collaborators, she has developed practical methods for turning the knowledge held by individuals and groups into models that can be examined, challenged, and used for action.

Her importance is not the invention of a new feedback equation. It lies in a methodological bridge: eliciting different accounts of a problem without flattening them, organising those accounts into a causal structure, and deciding when that qualitative structure should support a quantitative model. This makes modelling part of collective Decision making rather than a technical product delivered after the important assumptions have already been fixed.

Management Science Close to Practice

Ackermann built much of her academic career at the University of Strathclyde, where she became a professor and head of the Department of Management Science. The Strathclyde tradition joined operational research with facilitated work inside organisations, keeping methods close to managers confronting uncertain aims, incomplete evidence, and contested interpretations.

She joined Curtin Business School in 2012 and became a John Curtin Distinguished Professor. Her research there has continued across strategy, complex-project management, systemic risk, stakeholder knowledge, and energy-transition decisions. The range is broad, but the recurring question is stable: how can a group reason rigorously when no single participant possesses the whole problem?

Cognitive Maps as Working Models

A cognitive map represents statements as nodes and connects them with directed links expressing perceived influence, explanation, or consequence. Its roots include George A. Kelly's personal construct theory, but in organisational work the map is not a clinical portrait of a person's mind. It is a constructed representation that gives participants something visible to inspect and revise.

Ackermann and Eden advanced the practice of eliciting and analysing such maps. Participants can question the wording of a concept, test whether an arrow has the intended direction, expose an unstated assumption, and see where apparently separate concerns meet. A map preserves context that may be lost when a difficult situation is reduced too quickly to variables selected by an analyst.

SODA and Problem Structuring

With Eden, Ackermann developed Strategic Options Development and Analysis, generally known as SODA. The approach uses facilitated mapping to explore a situation, identify goals and strategic issues, generate possible actions, and trace how those actions might support or obstruct desired outcomes.

SODA is a Problem structuring method, not an optimisation formula. A Wicked problem may contain incompatible values, shifting boundaries, and disagreement over what would count as improvement. The map helps a group negotiate a workable account without pretending that every conflict has disappeared or that the facilitator is neutral merely because software records the discussion.

Group Decision Support and Facilitation

Large workshops create practical difficulties: some voices dominate, ideas arrive faster than they can be recorded, and a screen can become an unreadable mass of concepts. Ackermann's work with group decision-support systems examined how networked tools and disciplined workshop processes could capture contributions, combine material, and keep the developing model available to participants.

Technology does not remove the politics of facilitation. Someone still frames the question, decides what to merge, chooses which relationships to display, and manages disagreement. Participatory management and Group Model Building therefore require both technical skill and procedural care. Model ownership grows when participants can recognise their reasoning and understand how the combined structure was produced.

From Causal Map to System Dynamics

A major Ackermann contribution is the connection between rich qualitative maps and quantitative System dynamics. In an influential project-disruption study with Terry Williams, Eden, and Andrew Tait, facilitated cognitive mapping revealed reinforcing loops linking design changes, parallel work, coordination pressure, delay, and further attempts to accelerate the schedule.

The team transformed the map into an influence diagram and then a numerical simulation, developing the representations in parallel. The map retained managers' explanations and language; the simulation tested whether the proposed structure could reproduce observed behaviour and estimate compounding effects. Neither representation was treated as automatically superior. Each exposed questions and weaknesses in the other.

Scripts for Group Model Building

Ackermann later worked with David Andersen, Eden, and George P. Richardson on scripts that connect group decision support with system-dynamics Group Model Building. A script specifies a facilitated activity: who contributes, what prompt is used, how responses are represented, and how the output feeds the next stage of modelling.

Their work showed how a group could establish an initial problem boundary quickly, connect dynamic structure with behaviour, and move between detailed and whole-system views. A script is not a rigid recipe. It makes workshop design discussable and reusable, helping facilitators anticipate information flow, participation, and transitions instead of relying entirely on improvisation.

Projects, Delay, and Systemic Risk

Conventional project plans often represent activities as a network of tasks and dependencies. They are less effective at showing feedback: schedule pressure may increase parallel working; parallelism increases interfaces and coordination; congestion and rework reduce productivity; falling productivity creates still more pressure. The result is Dynamic complexity rather than a simple sum of isolated delays.

Ackermann's disruption-and-delay research used mapping and simulation to explain these compounding mechanisms, including in claims and litigation. Her later work broadened the lesson into Risk management for complex projects. A useful risk process must reveal relationships among hazards, stakeholders, decisions, and responses, because treating each risk as an independent item can conceal the loops that amplify consequences.

Strategy and Stakeholder Dynamics

In Making Strategy, Ackermann and Eden presented strategy making as an iterative process of mapping issues, goals, competencies, options, and stakeholders. Analysis can reveal clusters, central concepts, feedback loops, and actions that support several goals, but the calculations serve a facilitated strategic conversation rather than replace judgement.

Their later work on stakeholder dynamics emphasised that stakeholders respond not only to a proposed decision but also to one another. An action that appears technically efficient may fail if it triggers opposition, coalition building, or reciprocal moves that its designers ignored. Stakeholder management therefore becomes a dynamic problem of anticipated interaction, negotiation, and political feasibility.

A Methodological Bridge

Ackermann's continuing work at Curtin applies systems approaches to complex projects, strategic decisions, and the energy transition. These settings contain technical uncertainty alongside competing interests and unequal influence. Capturing expertise is necessary, but so is examining whose knowledge enters the model, how it is represented, and what action the process makes possible.

Her legacy is an integrated practice rather than a single named law. Cognitive maps can preserve situated knowledge; problem structuring can organise disagreement; group model building can create shared inquiry; and simulation can test the consequences of a proposed causal structure. Joined carefully, these methods make complexity visible without claiming to make it politically or scientifically simple.