BEHAVIORAL FEATURES OF MANAGERIAL DECISION-MAKING

Abstract

The article examines the behavioral features of managerial decision-making in the in a brittle, anxious, non-linear and іncomprehensible business environment. It is demonstrated that traditional rational models of decision-making are losing their effectiveness in unstable and unpredictable environments, whereas behavioral and cognitive aspects of leaders’ activities are gaining increasing significance. The authors propose a behavioral model of managerial decision-making, which is based on the concepts of bounded rationality, the "black box of consciousness," and behavioral economics. This model emphasizes the role of the manager’s personality, cognitive biases, emotions, and social context in shaping decisions. The study identifies the main decision-making traps related to cognitive distortions and irrationality that hinder rational choices and reduce management efficiency. Methods for overcoming these traps are outlined, including raising awareness of cognitive biases, applying structured and diverse decision-making techniques (scenario analysis, group methods, strategic sessions, statistical modeling), developing emotional intelligence and resilience, and conducting specialized training in critical thinking and decision-making. The findings highlight the importance of considering behavioral factors in managerial decision-making processes, as they directly affect adaptability, organizational resilience, and leadership effectiveness in complex and turbulent environments. Cognitive distortions are considered as systematic errors in thinking that affect various aspects of human cognitive activity: perception, attention, memory, the process of analyzing information and choice, as well as behavioral aspects of decision-making, in particular, the process of their implementation. The behavioral model suggested in the article provides a conceptual and practical framework for enhancing decision-making quality, minimizing risks, and fostering organizational sustainability in the context of global transformations.