Lilla Hortoványi

Strategy Without Templates

Adaptation in Digital Environments

2.3 Mechanism 2: Algorithmic Mediation and the End of Transparency

The second mechanism is algorithmic mediation. Traditional environmental theories generally assume that the relevant conditions of competition, while perhaps complex, are at least sufficiently visible to support analysis. In digital environments, this assumption weakens because visibility, access, and prioritization are increasingly governed through algorithmic systems whose logic is neither fully transparent nor stable.

Algorithms shape what users see, which offerings gain attention, how transactions are matched, and how firms are ranked, recommended, or excluded. These systems are not passive channels of information. They actively structure opportunities. At the same time, their operative logics are often proprietary, adaptive, and continuously revised. Firms can observe outcomes, such as traffic, engagement, sales, or ranking changes, but they cannot fully access the mechanisms that produced them.

This undermines the assumption of transparency. In classical settings, firms could often infer competitive conditions through observable market structures, prices, competitor behavior, and public rules. Under algorithmic mediation, outcomes remain visible, but causal processes are obscured. The result is a condition of partial observability. Firms must interpret signals without direct access to the underlying logic that generated them.

Importantly, this condition represents not merely uncertainty but epistemic opacity. Increased data availability does not translate into increased interpretability. Therefore, digital environments are not simply more information rich. They are environments in which informational abundance coexists with causal opacity.

This matters strategically because it changes the role of analysis. Analysis does not disappear, but it becomes insufficient on its own. Firms can no longer rely solely on prior interpretation of environmental structure because key aspects of the environment are not fully visible or accessible. Instead, they often infer environmental logic indirectly, through anomalies, repeated observation, and feedback from action. Strategy, therefore, depends increasingly on interpretation under opacity rather than calculation under transparency.

Algorithmic mediation also intensifies temporal instability. Even when firms infer a provisional pattern, there is no guarantee that it will remain stable. The relevant rules may be updated without notice, weighted differently across user segments, or combined with other hidden signals. This means that environmental knowledge becomes more fragile, local, and time sensitive. The environment is not only difficult to read. It also does not remain stable enough to serve as a reliable basis for knowledge.

For this reason, digital environments cannot be understood simply as more information-rich versions of older contexts. They are environments in which informational abundance may coexist with causal opacity. Firms receive more data, but not necessarily more interpretability. That distinction is central. The challenge is not a lack of signals, but the inability to translate signals into stable causal understanding.

Tartalomjegyzék

Kiadó: Akadémiai Kiadó

Online megjelenés éve: 2026

ISBN: 978 963 664 204 4

Gazdaság

What happens when understanding comes only after action has already begun?

Traditional strategy rests on the assumption that organizations can understand their environment before deciding how to act. Yet the conditions that once allowed organizations to rely on benchmarking, best practices, and proven strategic templates can no longer be taken for granted. Today, organizations increasingly face situations for which no clear roadmap exists. Established assumptions become less reliable, familiar reference points lose their clarity, and strategic decisions must be made before their consequences can be fully understood.

Strategy Without Templates explores how organizations learn, adapt, and navigate environments in which uncertainty is pervasive and established templates are absent or no longer sufficient. Instead of treating strategy as a process of prediction and planning, the book explores how strategic paths take shape through action, experimentation, adjustment, and learning.

A central insight in the book is that temporary solutions are often necessary. What begins as a practical response to an immediate challenge may gradually shape future possibilities in unexpected ways. Some solutions create new opportunities and sources of advantage. Others become constraints that are difficult to overcome.

Hivatkozás: https://mersz.hu/hortovanyi-strategy-without-templates//

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