THE MANAGERIAL INFLUENCE SYSTEM IN THE CONTEXT OF WARTIME AND DIGITAL TURBULENCE

Abstract

The article substantiates the need to rethink managerial effectiveness under wartime and digital turbulence through the phenomenon of execution without effect – a persistent gap between a managerial impulse (a decision, instruction, or directive) and the actual organisational intended effects from it. The paper argues that in crisis regimes, confirmation of completed actions, reports, and formal compliance may coexist with a lack of meaningful outcomes, weak stabilisation of improvements, and rapid erosion of achieved results. On this basis, the study demonstrates the methodological insufficiency of traditional interpretations of the management system that are primarily centred on organisational structure, functions, and procedures, because such interpretations do not allow one to diagnose how a decision is converted into a reproducible effect, how this effect is assessed, and how it becomes embedded in everyday practices. The article proposes distinguishing the managerial influence system as an independent analytical level that captures the internal configuration of actors, objects of influence, instruments, organisational procedures, communication channels, and regulated feedback loops through which managerial impulses are translated into coordinated action and outcomes. Within this framework, the managerial cycle is differentiated into an event-oriented level (where completion is recorded by the fact of execution) and an effect-oriented level (where effectiveness is interpreted as the completeness of the implementation – assessment – adjustment – consolidation loop). The paper clarifies the notion of reproducibility as the organisation’s capacity to repeatedly secure controlled outcomes across different tasks and changing constraints, not by repeating identical actions but by maintaining a stable order of implementation and feedback-driven correction. The proposed conceptualisation provides a basis for further operationalisation of diagnostic indicators and for designing tools that reduce the risk of execution without effect in turbulent environments.