Subject. The article discusses the automation of control over unfair behavior control as a direction of the system of interdisciplinary corporate financial control. Objectives. The study aims to propose an author-developed interpretation of the behavioral control automation model based on signs of unfair behavior. Methods. The study draws on general scientific and special economic and mathematical methods. Results. I considered general approaches to the automated classification of signs of unfair behavior aimed at enhancing the effectiveness of the control environment, offered my own interpretation of the behavioral control automation model based on the signs of unfair behavior. It rests on the tools of behavioral parameterization of financial and economic activity documents and the organizational and administrative process through the analysis of relationship of actions with the sequence of financial documents based on the principles of the Donald Cressey’s fraud triangle in financial transactions and the method of comparative model analysis by A.V. Dulov. Conclusions. The place and role of automatic classification can be described as the identification of signs that require mandatory recheck in the form of various control measures. A special feature of the described model is the need for a detailed study of ontologies and semantic annotations of financial and business operations in the context of solving the problems of countering unfair actions of employees.
Keywords: quantitative behavioral finance, unfair behavior indicator, fraud triangle, behavioral control over execution
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