The Cognitive Paradigm of Social Management in a Digital Society

The relevance of the research is due to the emergence of new management approaches due to the process of digital transformation of society. In this regard, an urgent task is to explore the possibilities of applying management approaches based on digital technologies, such as data-driven decision making, in social management. The purpose of the research is to substantiate the application of data-driven decision making in social management. The scientific novelty of the research lies in clarifying the concept of "databased decision making". The scientific significance lies in the consideration of data-driven management and an evidence-based approach within the framework of the cognitive paradigm of social management.

1. What Is Data Driven Decision Making? // Quantive. 2025. URL: https://quantive.com/resources/articles/data-driven-decision-making#what-is-data-drivendecision-making? (дата обращения: 26.09.2025).

2. Data vs. Information // Diffen. 2025. URL: https://www.diffen.com/difference/Data_vs_Information (дата обращения: 26.09.2025).

3. Korherr P., Kanbach D.K., Kraus S., Mikalef P. From intuitive to data-driven decision-making in digital transformation: A framework of prevalent managerial archetypes // Digital Business. 2022. № 2(2). P. 100045.

4. Baron J. A Brief History of Evidence-Based Policy // The Annals of the American Academy of Political and Social Science. 2018. № 678(1). P. 40–50.

5. Martelli P.F., Hayirli T.C. Three perspectives on evidence-based management: rank, fit, variety // Management Decision. 2018. № 56(10). P. 2085–2100.

6. Социологический словарь / Отв. ред. Г.В. Осипов, Л.Н. Москвичев. М.: Норма; Инфра-М, 2010. 608 с.

7. Щекотин Е.В. Социальное управление в турбулентном обществе: вопросы безопасности и риска // Социум и власть. 2016. № 1 (57). С. 87–92.

8. Управление знаниями. Теория и практика: учебник / Под ред. А.И. Уринцова. М.: Изд-во Юрайт. 2014. 255 с.

9. Zins Ch. Conceptual Approaches for Defining Data, Information, and Knowledge // Journal of the American Society for Information Science and Technology. 2007. № 58(4). Р. 479–493.