The Economics of Assurance: A Systems-Based Framework for Evaluating Internal Control Effectiveness
- 1 Independent Researcher, Bellevue, WA, USA
Abstract
In the context of ongoing global economic complication and accelerating digital disruption, the functional purpose of the Internal Control System (ICS) has undergone a crucial evolution, shifting its focus from narrow compliance to serving as a strategic factor for corporate resilience and quantifiable value creation. The relevance of this topic stems from a core theoretical and practical contradiction: the necessity of viewing the ICS not merely as a burdensome cost center, but rather as a strategic investment capable of generating measurable economic returns. Existing assessment methodologies, which often rely on binary judgments (e.g., the declaration of material weaknesses), generally fail to empower executive management to integrate the control function into strategic investment planning. The purpose of this article is the development and substantiation of a “framework” for a System-Oriented Model of Effectiveness (SOME), through which the author proposes a holistic mechanism for linking resources allocated to internal control directly with specific, verifiable financial and operational outcomes. Methodologically, this model is built upon a profound synthesis of foundational economic theories (Agency Theory and Transaction Cost Economics) and leading contemporary governance frameworks. The applied part of the research is grounded in the quantification (quantitative operationalization) of control effectiveness, notably through the adaptation of Reliability Theory for systemic risk assessment and rigorous Cost-Benefit Analysis to ensure the proportionality of control efforts to the anticipated economic value. The materials presented herein will prove valuable for Executive Management and Boards of Directors seeking robust justification for strategic investments in governance and control, and for Internal Audit Leaders aiming to reposition their function and implement quantitative metrics of value addition.
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