Lilla Hortoványi

Strategy Without Templates

Adaptation in Digital Environments

11.5.3 Algorithmic Mediation and Platform Governance

The concept of feedback without control opens rich territory for research on how firms learn and adapt under algorithmic mediation. How do firms develop working theories about opaque algorithmic systems? What practices enable effective calibration when causal understanding remains incomplete? How do firms balance the efficiency gains from algorithmic automation with the need to maintain interpretive capacity and strategic flexibility?

Research is needed on how different types of algorithmic mediation create different learning conditions. Recommendation algorithms, ranking algorithms, matching algorithms, and pricing algorithms all mediate feedback, but they may do so in qualitatively different ways that require different adaptive responses. How do firms recognize when algorithmic systems have changed? What signals indicate that current working theories are becoming inadequate? How quickly can firms adjust their practices in response?

Platform governance dynamics also warrant deeper investigation. How do platforms balance openness and control as their ecosystems mature? How do governance changes affect the strategic options available to ecosystem participants? Under what conditions do firms exit platform ecosystems, and what capabilities enable successful exit? How do firms manage dependence on multiple platforms simultaneously, and what strategies help them maintain bargaining power vis-à-vis platform owners?

The political economy of platform ecosystems deserves particular attention. How do power asymmetries between platforms and participants shape strategic possibilities? What forms of collective action, if any, enable ecosystem participants to influence platform governance? How do regulatory interventions alter the strategic landscape for both platforms and participants? These questions connect the template-free framework to broader debates about digital capitalism, market power, and economic governance.

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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