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Management Without Knowledge

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  • Management governs almost everything - without meeting the standards of a science or a profession
  • Its authority rests on rhetoric, metrics, and moralised abstractions, not falsifiable knowledge
  • Business schools and MBAs institutionalise legitimacy while insulating theory from failure
  • Healthcare exposes management as an epistemic stress test it repeatedly fails
  • Management endures not because it explains or predicts, but because it legitimates power

Management Without Knowledge

Management today exercises significant authority. It governs hospitals, universities, health systems, multinational corporations, NGOs, and public administrations. It structures how work is organised, how performance is measured, how success and failure are defined, and how resources are allocated. Few domains of social life remain untouched by managerial logic.

So, a pair of questions, addressed directly to those who lead: when was the last time you were asked to defend a major management intervention with the same evidential standard demanded of a clinical decision, a legal argument, or a capital investment? And if your dashboards and operating models are “evidence-based,” what would it look like to falsify them - what result would make you stop doing what you are doing?

Yet despite this reach, management is a fragile form of knowledge. It is not a science in any conventional sense, not a profession in the way medicine or law are professions, and increasingly not a coherent body of cumulative understanding. What, then, is the real basis of managerial authority: predictive power - or institutional permission? And how often do we mistake measurement for understanding, and control for competence?

This tension - between expansive authority and weak epistemic foundations - defines the managerial myth. Management presents itself as neutral, technical, and evidence-based, while in practice relying on rhetorical frameworks, stylised models, and moralised abstractions that resist empirical scrutiny. Its influence does not derive from demonstrable explanatory or predictive power, but from its role as a legitimating language for control.

Healthcare offers a vantage point. Here, managerial knowledge confronts complex systems, high stakes, and entrenched professional expertise. Failures cannot easily be disguised as “learning experiences,” and abstract models collide with embodied clinical judgment. If management were scientific, healthcare would be the domain in which its value became most evident. Instead, it is often where its limitations are most exposed. In a system where harm is measurable and delay is lethal, what are we optimising - and who gets to decide when the “model” is wrong?
 
In this Commentary

This Commentary argues that modern management wields significant authority while resting on fragile epistemic foundations. Neither a science nor a profession, management functions primarily as an ideological language that legitimates control while evading falsification and accountability. Using healthcare as a stress test, the Commentary shows how managerial abstractions displace professional judgment, obscure trade-offs, and exercise power without knowledge robust enough to justify it.
 
The Early Promise of Scientific Management

The ambition to render management scientific was not always illusory. Early twentieth-century management thinkers sought to align organisational control with empirical observation and rational method. Frederick Taylor’s time-and-motion studies, for all their moral and political problems, were animated by a belief that systematic measurement could improve organisational performance. Later developments in systems theory, operations research, and cybernetics similarly aspired to formal rigour.

These efforts shared a core assumption: that organisations could be understood as objects of systematic inquiry, governed by generalisable principles, and improved through evidence-based intervention. Management knowledge, on this view, would be cumulative. Findings would be tested, refined, discarded, or integrated into a growing body of understanding.
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What followed was something different. Rather than converging on shared standards of evidence and falsification, management knowledge fragmented into competing schools, frameworks, and fashions. The field became characterised less by cumulative progress than by periodic waves of enthusiasm: each new concept promising to solve problems that the last had failed to address. Total Quality Management, Business Process Reengineering, Six Sigma, Design Thinking - each arrived with confident claims, limited evidence, and a short half-life.

Crucially, these failures did not provoke epistemic crisis. Unlike in the natural sciences, where persistent failure would call foundational assumptions into question, management theory proved resilient. Concepts faded not because they were falsified, but because they were displaced by newer narratives better suited to changing organisational anxieties.
 
The MBA and the Abandonment of Falsifiability

The institutional heart of this transformation lies in the rise of the MBA. Business schools became the primary sites through which management knowledge was produced, standardised, and disseminated. Yet the MBA did not evolve as a research training programme. It emerged as a credentialing mechanism, designed to signal competence, authority, and readiness to lead.

MBA pedagogy relies on case studies, stylised models, and retrospective success stories. These tools are pedagogically effective and rhetorically powerful, but epistemically weak. Case narratives cannot establish causal claims. Stylised models depend on simplifying assumptions rarely examined in practice. Success stories are subject to survivorship bias and retrospective rationalisation.

Most importantly, MBA knowledge is structured to avoid falsification. When an organisation succeeds, its leaders are credited with effective management. When it fails, the explanation is almost always contextual: poor execution, cultural resistance, insufficient buy-in, or unforeseen external shocks. The underlying theories remain intact. There is no clear mechanism by which management ideas can be disproven.

This is not an accidental flaw. It is a structural feature of a field that prioritises legitimacy and applicability over truth claims. Management knowledge must be adaptable, reassuring, and broadly resonant. Rigid adherence to empirical standards would undermine its usefulness as a general-purpose language of authority.
 
From Science to Ideology

As its scientific pretensions weakened, management theory assumed a different role. It became ideological - not in the sense of false consciousness, but as a system of meaning that legitimates power relations while presenting itself as neutral and technical.

Management discourse is saturated with moral vocabulary: efficiency, excellence, leadership, innovation, resilience. These terms are rarely defined with precision, yet they carry strong normative force. To oppose them is to appear irrational or irresponsible. Who could be against efficiency, or excellence, or innovation?
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In this way, management language performs a political function. It frames organisational decisions as technical necessities rather than contested choices. Downsizing becomes “rightsizing.” Cost-cutting becomes “optimisation.” Centralisation becomes “strategic alignment.” The language obscures trade-offs and suppresses alternative value systems.

This ideological function helps explain why management theory remains influential despite weak empirical performance. Its authority does not depend on predictive accuracy, but on its capacity to render decisions intelligible and defensible within elite institutional settings.
Why Management Is Not a Profession

Management also fails to meet the criteria of a profession. Professions are defined by specialised knowledge, formalised training, enforceable standards, and mechanisms of accountability. Medicine, law, and engineering all involve bodies of knowledge that practitioners must master, ethical codes they must uphold, and institutions that can sanction malpractice.

Management lacks these features. There is no agreed-upon core body of knowledge that managers must possess, no standardised pathway to competence, and no enforceable ethical code specific to managerial practice. Anyone can be a manager; success is typically inferred retrospectively from outcomes rather than evaluated prospectively against defined standards.

This absence of professional accountability has consequences. When management decisions cause harm - the loss of value, organisational collapse, systemic inefficiency, or degraded care quality - responsibility is diffuse. Failures are attributed to complexity, uncertainty, bad luck or exogenous forces. Rarely are they framed as professional malpractice.

In healthcare, this asymmetry becomes more striking. Clinicians are subject to rigorous training, licensing, peer review, and legal liability. Managers who shape the conditions under which clinicians work face weaker forms of scrutiny, despite wielding substantial influence over outcomes.
 
Healthcare as an Epistemic Stress Test

Healthcare and its adjacent life-science industries impose unusually high demands on knowledge. Decisions are time-sensitive and morally charged, with consequences that bear directly on human wellbeing. Clinical, operational, and R&D processes are complex, nonlinear, and only partially observable. Outcomes emerge from the interaction of biological variability, social determinants, professional judgement, organisational incentives, and institutional constraints - factors that resist reduction to stable inputs and outputs.

These characteristics make the broader healthcare ecosystem - providers and payers, regulators and supply chains, as well as pharma, biotech, MedTech, and other life-science organisations - a stringent test case for management theory. If abstract managerial frameworks reliably enhanced organisational performance, their effects should be most visible in domains where uncertainty is high, stakes are existential, and learning is costly. Instead, this ecosystem repeatedly exposes the limits of managerial rationality when applied to complex human systems.

Performance indicators frequently fail to capture what matters clinically or scientifically. Efficiency metrics can distort priorities, privileging throughput over care quality, safety, or relational work; in R&D settings, they can over-optimise for tractable milestones rather than translational value. Standardisation initiatives, while framed as best practice, may erode professional discretion and undermine context-sensitive decision-making. Organisational reforms justified through managerial language often generate unintended - and sometimes counterproductive – consequences because they treat contested, value-laden judgements as if they were engineering parameters.

Crucially, these failures are rarely interpreted as evidence of deficiencies in management knowledge. Responsibility is displaced onto the domain: healthcare is deemed too complex, too culturally resistant, too regulated, or insufficiently mature in its managerial capabilities; life-science organisations are said to be uniquely uncertain, unusually risk-averse, or distorted by incentives. In this way, management theory remains insulated from falsification. When it succeeds, success is attributed to good management; when it fails, the problem is said to lie with healthcare (or with pharma, biotech, MedTech, and their institutional environments). The field thus functions not only as a site of application, but as an epistemic stress test that management theory persistently fails - without being forced to reckon with that failure.
 
The Displacement of Professional Judgment

One of the most consequential effects of managerial expansion across healthcare - and the wider life-science ecosystem that shapes it - is the displacement of professional judgement. Clinical expertise is increasingly subordinated to protocols, targets, and performance dashboards designed at a distance from the point of care. Analogous dynamics appear upstream in pharma, biotech, and MedTech: scientific and engineering judgement is channelled through stage gates, KPIs, and compliance templates that often privilege procedural certainty over situated expertise.

This shift is typically justified as a move toward objectivity and accountability. Yet the metrics that enable it are themselves products of managerial abstraction. They privilege what can be counted over what is consequential, translating complex clinical or scientific realities into simplified indicators optimised for monitoring, comparability, and reporting. What is lost is not only nuance, but the legitimacy of tacit knowledge - those context-sensitive assessments that cannot be fully specified in advance.
The result is a form of epistemic inversion. Those with the least direct knowledge of clinical practice (or of experimental and translational work) can acquire authority through fluency in managerial language, while those with the most expertise are required to justify decisions in terms they did not define. Professional reasoning becomes legible only once it is translated into the categories of the dashboard.
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This dynamic does not eliminate discretion; it redistributes it. Decisions are still made, but the criteria by which they are evaluated shift from professional standards to managerial ones. The operative question is no longer “Was this good care?” - or “Was this the right scientific call under uncertainty?” - but “Did this meet the target?” In that shift, judgement is not removed; it is displaced, and its accountability is re-anchored to what the system can measure rather than to what the domain most needs to know.
 
Management Theory’s Circular Economy

The durability of management theory is sustained less by cumulative explanatory power than by a self-reinforcing citation economy. A small set of elite journals disproportionately cite one another, reproducing shared assumptions, preferred methods, and accepted problem framings. While critical perspectives are periodically acknowledged, they are rarely permitted to alter the field’s core categories or evaluative standards. Recognition substitutes for incorporation.

Empirical research within this ecosystem frequently relies on self-reported measures, cross-sectional designs, and statistical techniques that confer the appearance of rigour without resolving underlying conceptual ambiguities. Findings are typically incremental, context-bound, and weakly replicable. Yet through repeated citation, these results are recontextualised as building blocks of a cumulative literature. Methodological conformity enables publication; publication generates citations; citations are then taken as evidence of theoretical solidity. What circulates is not validated knowledge, but mutual reinforcement.

This epistemic circularity is institutionally stabilised by business school incentive structures. Faculty advancement, funding, and status depend on publication within the same narrow journal hierarchy that defines legitimate knowledge. Research that questions foundational assumptions - rather than extending them - faces elevated barriers to entry. Critique is permitted insofar as it is framed in the field’s authorised vocabularies and methodologies. Challenges that would disrupt the circulation itself are filtered out, ensuring that the system reproduces its own criteria of success.
 
A Genealogical Perspective

Explaining how management came to occupy its current position of authority requires a genealogical approach. Rather than evaluating management theories in terms of truth or falsity, genealogy asks how they emerged, what historical problems they were intended to address, and which interests they came to organise and stabilise. The focus shifts from epistemic validity to conditions of possibility.

Viewed genealogically, management knowledge appears less as a cumulative science and more as a succession of discursive formations shaped by changing social, economic, and organisational conditions. As enterprises expanded in scale and complexity, older forms of coordination - personal supervision, craft knowledge, informal norms - proved insufficient. New vocabularies were required to render organisations legible, comparable, and governable. Management theory supplied these vocabularies, translating heterogeneous practices into abstract categories such as performance, efficiency, leadership, and control.

This perspective is indebted, in part, to Michel Foucault’s analysis of the entanglement of knowledge and power. Management discourse does not just describe organisational realities; it actively constitutes the objects it claims to analyse, defining what counts as a problem, what can be measured, and what forms of intervention are deemed legitimate. In doing so, it shapes both how organisations are understood and how they are governed.

Seen in this light, the central puzzle is not why management theory falls short of conventional scientific standards, but why such shortcomings have had little effect on its institutional authority. Its durability lies in its practical function: management theory operates less as an explanatory body of knowledge than as a technology of governance. Its value is measured not by its truth claims, but by its capacity to structure action, allocate responsibility, and render organisational life amenable to intervention.
 
Why Critique Has Not Transformed Management

Management has been criticised for decades - by labour scholars, organisational sociologists, critical theorists, and practitioners themselves. Yet these critiques have rarely shifted the centre of gravity of mainstream practice.

One reason is that management theory is highly assimilative. Critical ideas are not so much rejected as domesticated: they are absorbed, rebranded, and returned as tools. Reflexivity is reframed as leadership development. Power is translated into stakeholder management. Resistance is recoded as change management. In this process, critique survives as language but loses its edge as diagnosis - its political and structural implications are converted into managerial technique.

A second reason is that management’s authority is not primarily epistemic. It does not depend on being true so much as being usable - especially by those with the capacity to act. If managerial discourse helps organisations justify decisions, coordinate action, discipline uncertainty, and perform legitimacy for regulators, investors, and publics, then its weaknesses as knowledge are tolerable. In other words, critique struggles to transform management because management is organised less as a truth-seeking enterprise than as a practical and justificatory technology - one that can incorporate criticism without conceding power.
 
The Cost of Unscientific Authority

The consequences of this arrangement are no longer abstract. As managerial logic extends into domains once governed by professional norms, the costs of unscientific authority become increasingly legible - and increasingly hard to dismiss as implementation failure.

In healthcare, these costs show up as misaligned incentives, burnout, erosion of trust, and the quiet displacement of clinical judgement by targets, dashboards, and procedural compliance. They also surface in healthcare-adjacent organisations - commissioners, regulators, insurers, digital health firms, and suppliers - where “what counts” is often shaped upstream through metrics, contracts, and reporting regimes that travel faster than evidence. The result is a system that can look controlled on paper while becoming less adaptive on the ward, in the clinic, and across the care pathways.

More broadly, unscientific authority produces organisational fragility: repeated cycles of reform and disappointment; constant restructures that generate motion without learning; and a persistent gap between managerial rhetoric (“transformation”, “efficiency”, “quality”) and lived experience. When success is defined through proxies that are only loosely coupled to real outcomes, organisations optimise what is measurable and narratable, not necessarily what is true or beneficial.

These outcomes are not accidents. They are predictable consequences of a regime in which management knowledge is insulated from rigorous evaluation, largely unaccountable as a profession, and legitimised by its association with science rather than by the disciplined practice of it. Under those conditions, managerial authority can expand even when its claims fail - because it is rewarded for coherence, control, and legitimacy, not for accuracy.
 
Reframing the Question

The point is not to romanticise pre-managerial forms of organisation or to deny the need for coordination and administration. Large, complex systems require structures of management. The question is on what epistemic and ethical grounds these structures operate.

If management is not a science, it should stop claiming the authority of one. If it is not a profession, it should not displace those that are. And if its knowledge claims cannot withstand empirical scrutiny, they should be treated as provisional frameworks rather than universal truths.

Healthcare, with its moral urgency and epistemic complexity, makes these questions impossible to ignore. It reveals what management discourse often conceals: that governing through abstraction is a choice, not a necessity, and that the legitimacy of that choice depends on standards management has largely abandoned.
 
Takeaways

Management today governs through a paradox: it wields significant power while resting on fragile knowledge claims. It borrows the prestige of science without accepting the disciplines that make science real - clear hypotheses, the possibility of being wrong, and the willingness to stop when the evidence turns - while displacing professional judgement without assuming professional responsibility. In doing so it converts complex care, work, and risk into legible proxies that travel well in board packs but fracture at the bedside. Naming this is not a call for denunciation or nostalgia; it is a strategic demand for epistemic honesty. If leaders want their interventions to carry the authority of evidence, they should be prepared to state, in advance, what will falsify them; if they want dashboards to substitute for judgement, they should be able to show the outcomes they improve and the harms they do not. We should treat management for what it has become - a dominant coordinating language of modern institutions - and then insist it earns its reach through transparent evaluation, clear accountability, and measurable effects on real outcomes. The danger is not management per se, but the illusion that it is a science or a profession when it is neither; healthcare has already paid the price of that illusion, and whether we learn from it is the choice now.
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