METHODOLOGY FOR DEVELOPING AN ADAPTIVE BUSINESS STRATEGY FOR A SMALL ENTERPRISE IN THE CONSTRUCTION INDUSTRY BASED ON AN INTEGRATED APPROACH

Abstract

This article aims to identify patterns in the formation of the spatial-sectoral structure of human resources in the Russian shipbuilding industry and formulate methodological principles for measuring it in the context of regional cluster development. The subject of the study is the organizational and economic relations arising during the territorial distribution of production capacities, the reproduction of the skill structure of the workforce, and human capital management in the context of the spatial concentration of a strategic industry. The aim of the study is to diagnose structural imbalances in the distribution of human resources in shipbuilding clusters and develop an indicator apparatus for assessing their spatial-sectoral configuration. The study is based on the use of methods for consolidating disparate data sources, normalizing enterprise identification characteristics, verifying territorial attribution, calculating specific staffing as an indicator of the technological contour, and nonparametric statistical analysis to identify significant differences between regional segments. It is shown that the industry's human resources potential is shaped by corporate and territorial concentration, transforming the industry's spatial organization into a core-periphery structure. A method for calculating specific human resources is outlined, allowing one to correlate quantitative labor force parameters with the physical capacity of production infrastructure and identify hidden disparities in human capital utilization. It is established that the spatial differentiation of the indicator reflects the specifics of the technological contour, as elevated values ​​in the Northwestern District indicate the persistence of labor-intensive methods for integrating complex systems. Furthermore, the reduced indicators in the Far Eastern District indicate a dependence on the rotational workforce and limited localization of the full assembly cycle. This study contributes to the development of a methodological framework for regional and sectoral economics by integrating spatial analysis with an assessment of the skill structure of the labor force, and also provides an evidence base for differentiating human resources strategies between core and peripheral clusters and for advanced forecasting of human resources load.