Culture of dignity as the foundation of organizational culture of humanistic management. Modern research in the IT industry

Abstract

The object of research is the cognitive and structural parameters of the formation and transformation of the organizational culture of IT teams. Particular attention is paid to the influence of dignity as a humanistic construct on the dynamics of intragroup communications. The problem lies in the lack of interdisciplinary verified theoretical models that would allow integrating the principle of dignity into the strategic management system. Existing approaches mostly do not take into account cognitive distortions, moral autonomy, the influence of affective states and psychological resilience in a team environment. The article develops a conceptual model of the corporate culture of dignity in IT engineering, which is based on a synthesis of the provisions of cognitive psychology, behavioral economics, neuroethics and humanistic management. The model covers three levels: micro-level (executive control, intrinsic motivation, psychological security), meso-level (empathetic leadership, reflective practices, communication ethics), and macro-level (value coherence, institutional trust, cultural justice). The structure is presented as a dynamic process: cognitive factors – behavioral mechanisms – organizational results. The theoretical provisions can be applied to HRMS, agile processes, ESG strategies, and cognitive-sensitive management systems. The model is relevant in conditions of high dynamics, digital burnout, fragmented interaction and organizational turbulence, in particular, in times of war. The proposed model is an innovative approach to the construction of a culture of dignity in an intellectually saturated environment where traditional management paradigms are ineffective. Its application allows to reduce transaction costs of communication, increase the level of internal consistency and ensure ethical integration of cognitively complex practices into the daily activities of IT teams. This approach creates a new framework for studying behavioral mechanisms in digital organizations and opens up prospects for multi-agent culture modelling using data analytics, artificial intelligence, and neurobehavioral interpretation.