Organizational Social Security: theoretical and methodological foundations of research

Abstract

The article substantiates the theoretical and methodological foundations for studying social security at the organizational (micro) level and develops an approach to its assessment under increasing uncertainty, labor market transformation, and military challenges. The purpose of the study is to refine the concept of social security at the micro level and to design a toolkit for its measurement aimed at strengthening organizational resilience. The research applies general scientific and special methods, including abstraction and logical generalization (to specify the essence of the category), structural and functional analysis (to determine its components), risk-oriented and resource-based approaches (to interpret social security simultaneously as a management outcome and a development prerequisite), and an index aggregation method (to construct an integral indicator of social security).The main results are as follows. The content of social security at the organizational level is clarified as a systemic characteristic of social and labor relations reflecting the degree of protection of employees and employers from internal and external social risks, as well as the capacity to ensure decent working conditions and staff development. The key components are identified: organizational-economic, legal, psychosocial, communication, and institutional. An algorithm for calculating an integral indicator that combines indicators of organizational structure coherence, communication effectiveness, and personnel cohesion is proposed. Practical mechanisms for strengthening social security through improved personnel management and the implementation of comprehensive well-being programs are substantiated. It is concluded that social security represents a strategic resource for sustainable organizational development and, simultaneously, an outcome of effective management of social and labor processes. The proposed methodological approach may be applied to monitor social risks and to design an adaptive management model in conditions of military and economic instability.