The scissors analogy

Herbert Simon won the Nobel Prize in Economics in 1978 for a single foundational insight: human beings do not make decisions the way classical economics assumes. They do not have complete information, unlimited processing capacity, or infinite time. They operate under three hard structural constraints — limited information, limited cognitive capacity, and time pressure — and every decision they make is filtered through all three simultaneously.

Simon described this with a scissors analogy. One blade is the cognitive architecture of the decision-maker. The other blade is the structure of the environment. A strategy is not a response to the market — it is a response to the market as the decision-maker’s cognitive architecture is capable of perceiving it. The world is real and objective. What the entrepreneur sees of it is always a simplification, shaped by limits that are architectural rather than motivational. Working harder does not move the blade.

Satisficing and the aspiration level problem

The operational outcome of bounded rationality is satisficing — Simon’s term, coined by merging “satisfy” and “suffice.” Rather than searching exhaustively for the optimal solution, the bounded-rational mind sets an aspiration level and accepts the first option that meets it. This is not laziness. It is the cognitive architecture’s rational response to its own constraints. Exhaustive search is not possible, so satisficing is the only viable strategy.

The strategic consequence is specific. The aspiration level the entrepreneur sets determines which solutions they stop searching after finding. Set it too low — be satisfied with a strategy that is “good enough” — and a genuinely better option may have remained undiscovered. Business strategy is a hard domain, precisely where Simon predicted bounded rationality produces its most consequential errors. The strategies that look obvious in retrospect — the ones IBM and Kodak missed when Haloid built Xerox — were invisible not because the data was absent but because the aspiration level had already been satisfied by an existing mental model.

Upper echelons: the strategy is a portrait of the strategist

Hambrick and Mason’s upper echelons theory, developed in 1984 and extensively validated in subsequent decades, formalises the direct implication for entrepreneurship. Organisational outcomes mirror the cognitive bases, values, and experiences of top executives. Strategic decisions are not neutral — they are the product of an individualised lens built from the decision-maker’s specific history, personality, and prior experience.

This means an entrepreneur who wants to understand why their strategy looks the way it does needs to understand their own cognitive profile. The markets they see as opportunities are the ones their lens is calibrated to notice. The threats they discount are the ones their lens is calibrated to classify as noise. Nokia’s leadership had real-time data about the iPhone’s arrival. Their cognitive frames — built entirely on a mental model of the mobile phone as a hardware device — processed that data as a premium niche product rather than a paradigm shift. The information was present, but the cognitive architecture determined what it meant.

Dozens of studies confirm the basic logic: if we want to understand strategy, we must understand strategists.

The heuristics and biases programme as the content of the bounds

Where Simon described the architecture of bounded rationality, Kahneman and Tversky documented its specific failure modes. Confirmation bias reinforces existing assumptions by filtering out disconfirming evidence. Anchoring bias tethers decisions to initial reference points regardless of their relevance. Overconfidence inflates the perceived accuracy of strategic forecasts in ways that are especially consequential in entrepreneurship, where founding a business requires systematically elevated confidence in one’s own judgement. The same confidence that generates the action generates the cognitive closure that limits the strategy.

A review of cognitive biases in professional decision-making identifies overconfidence as the most pervasive and consistently documented bias across domains. It is also the most specifically entrepreneurial — because the founder who is confident enough to start is also confident enough to stop searching for evidence that their model is wrong.

What this means in practice

Bounded rationality is not a problem that willpower solves. It is a systems design problem. The cognitive limits that shape individual decisions accumulate across hierarchies and over time — each simplification one person makes becomes the assumed context for the next bounded-rational agent in the chain, who never questions it. Strategy improvement therefore requires designing the decision environment rather than requiring individuals to overcome their cognitive limits through discipline.

Three practical applications the research supports. External perspectives specifically recruited to challenge the dominant mental model — people whose cognitive lens was built in different contexts — partially counteract upper echelons filtering. Pre-mortems — imagining a strategy has failed before it is implemented and working backward to identify why — partially counteract overconfidence by activating the same cognitive resources that hindsight bias uses, but before the decision is made. And explicit documentation of the aspiration level used to satisfice on any major strategic decision creates a record that can be reviewed when the environment has changed but the strategy has not.

A book worth reading alongside this

The Halo Effect by Phil Rosenzweig is the most direct application of bounded rationality to business strategy available. His argument — that most business strategy writing mistakes correlation for causation, and attributes strategic success to qualities that are only visible in retrospect — is a sustained case study of hindsight bias and the halo effect producing distorted strategic frameworks at scale. For any entrepreneur who has drawn strategic lessons from business success stories, this book provides the most rigorous available account of why those lessons are less reliable than they appear.

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This article is for educational and informational purposes only. Sources: Simon, H.A. (1955), Quarterly Journal of Economics. Simon, H.A. (1957), Models of Man. Hambrick, D.C. & Mason, P.A. (1984), Academy of Management Review, 9(2). Tversky, A. & Kahneman, D. (1974), Science.