DIGITAL TRANSFORMATION OF WORK INDUCTION SYSTEMS: STAFF MOTIVATION MANAGEMENT BASED ON HR ANALYTICS

Abstract

The article examines the theoretical and applied foundations of the transformation of labor incentive systems in the IT sector through the implementation of HR analytics tools. It is determined that in conditions of macroeconomic turbulence, large-scale migration processes, and fierce competition for human capital, traditional intuitive approaches to human resource management lose their effectiveness, giving way to data-driven management methods. The transition from descriptive analysis to proactive and predictive modeling of the motivational profile and behavioral patterns of personnel using big data analysis is substantiated. This provides an opportunity for proactive identification of destructive trends, including professional burnout syndrome, absenteeism, and employee turnover risks.

The specifics of motivation and demotivation of IT specialists of various qualification grades (Junior, Middle, Senior) are systematized, and differentiated management tools are proposed, proving the destructiveness of universal approaches in the IT segment. A comparative analysis of the leading methods of performance evaluation (Performance Review), including Assessment Center, "360 degrees" method, and express surveying, is carried out based on their resource intensity, validity, and analytical depth. It is proven that the maximum synergistic effect for IT companies is ensured by the integration of quantitative (KPI) and qualitative approaches with continuous monitoring of retention and engagement metrics.

The author's dynamic predictive algorithm for implementing HR analytics to manage the motivation of IT enterprises' personnel is proposed and described in detail. It consists of 7 stages (from defining business metrics to consolidating "digital footprints" in Jira, GitHub, Slack, ATS, CRM, and building Predictive Retention models). The algorithm is based on the concept of a Data-Driven approach, functions as a self-learning system, and allows synchronizing the individual goals of IT professionals with the strategic objectives of the business. The practical application of the developed toolkit minimizes financial losses from staff turnover, ensures the capitalization of human capital, increases operational stability, and guarantees long-term competitiveness of companies in conditions of macroeconomic instability.