METHODOLOGICAL APPROACH TO THE DIAGNOSTICS OF HOUSING STOCK MANAGEABILITY

Abstract

In the context of increasing complexity of organizational mechanisms for managing apartment buildings, there is a growing need for tools that enable the assessment of the capacity of management systems to ensure the implementation of managerial decisions and the achievement of housing stock performance objectives. At the same time, existing approaches are primarily focused on the analysis of individual technical, financial, and operational characteristics of real estate objects, which limits the possibilities for a comprehensive assessment of management processes. The purpose of this study is to develop and test a methodological approach to diagnosing the manageability of housing stock based on data from the State Information System for Housing and Utilities. The study employs methods of structural analysis, statistical grouping, data comparison, and logical modeling of management processes. The proposed approach is based on a sequential assessment of organizational certainty, institutional coherence, and financial discipline as key manifestations of housing stock manageability. The methodology was tested using data from the Moscow Region, the Republic of Tatarstan, the Republic of Dagestan, the Republic of Karelia, and the Amur Region. The results of the study reveal differences in the functioning parameters of regional housing management systems and confirm the heterogeneity of conditions for the implementation of managerial decisions. The practical significance of the study lies in the possibility of applying the proposed approach for monitoring housing management conditions, identifying problem areas, and supporting managerial decision-making in the housing sector.