Abstract
Since we all live in a complex, interconnected, and interdependent world, where volumes of information grow exponentially, and many leaders recognize the challenges of operating under conditions of stochasticity and uncertainty, the relevance of the analyzed problem remains extremely significant. The purpose of the article is to conceptualize the study of digital reality concerning stochastic ambiguity based on system methodology and computer modeling. This conceptual and categorical apparatus aims to expose digital reality as both a social phenomenon and a dynamic process. The principal approach to the research problem is a synergetic methodology that includes methods of consistency, structuredness, reasoning, making it credible to unveil the essence of the analysis of digital reality as a factor in achieving societal stability in stochastic circumstances, which is an integral process. The article demonstrates that, through the ability to predict, mistakes can be avoided, success achieved, and the prosperity of organizations multiplied. The article explains that the synergetic methodology, as a complexity methodology, meets the conditions of globalization 4.0, Industry 4.0, technological progress 4.0, digital society, Enlightenment 2.0, and Agile management. It is for these complex requirements that a synergistic complexity methodology can be applied. The materials presented in the article hold practical value for experts, scientists, and leaders. The implementation of this expertise will benefit society, the state, international partners, and future generations by promoting sustainable growth. The practical significance of the article lies in solving the problems of acquiring a conceptual framework for analyzing digital reality as a factor in achieving the efficiency and sustainability of society in stochastic circumstances. This approach enables the formulation of national, regional, local, and other indicators of sustainability and contributes to overcoming crises. All mentioned indicators can manifest in absolute and relative dimensions, including indicators in the social sphere, such as health status, quality of life, social activity, demographics, and others.
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