Metaprograms as a Tool For Behavioral Risk Profiling: the Brpm Model in Financial Management and Managerial Decision-Making

Abstract

The article explores the issue of identifying behavioral risks in HR management through the lens of metaprogram profiling. In the context of the BANI world, the growing responsibility of managerial and financial roles and the increasing importance of cognitive alignment with job requirements create a need for tools that provide deeper diagnostics of thinking, motivation, and behavioral patterns. The study aims to develop the conceptual BRPM model (Behavioral Risk Profiling Model) that identifies risky metaprogram configurations and predicts behavioral deviations linked to fraud, procedural violations, compliance failures, or destructive leadership. The scientific novelty lies in the interdisciplinary integration of cognitive-behavioral typology with HR diagnostics and organizational risk modeling. The authors developed an original typology of metaprograms in polar and tripolar formats, identified their impact on managerial and financial behavior, and created an interpretive matrix distinguishing adaptive and risk-prone thinking strategies. The methodological framework combines content analysis of scholarly sources in cognitive psychology, behavioral economics, and HR analytics, a functional comparison of the Big Five, SHL OPQ, and Hogan Risk Profile models, and inductive modeling of employee risk profiles. The study presents the conceptual architecture of the BRPM model and a table illustrating interrelations between cognitive filters and probable behavioral outcomes. The practical significance lies in applying BRPM for screening candidates for critical roles, assessing behavioral alignment, preventing managerial failures, and forming teams with minimized conflict risk. The model can be adapted for internal audits, strategic workforce planning, and behavioral compliance frameworks.