HUMAN CAPITAL AND COMPETENCIES FOR DIGITAL TRANSFORMATION MANAGEMENT IN LOGISTICS

Abstract

The article presents a comprehensive investigation of the personnel competency model designed to ensure effective management of digital transformation in logistics enterprises operating within dynamic business environments. The research relevance stems from the critical role of human capital in supply chain digitalization processes, where technological investments fail to translate into performance outcomes without appropriate employee competency levels. Statistical evidence indicates that approximately seventy percent of digital transformation projects fail to achieve their objectives primarily due to inadequate personnel preparation and skill deficiencies. The research purpose encompasses developing an integrated comprehensive competency model covering three key domains: data literacy, which includes the ability to understand, interpret, and utilize data for managerial decision-making processes; digital leadership, involving strategic vision formation, organizational culture development, and change management capabilities; and supply chain analytics, encompassing specialized skills in demand forecasting, inventory optimization, and network analysis methodologies. The methodological foundation incorporates systems analysis methods for problem field structuring, structural modeling techniques for conceptual competency model construction, and multiple linear regression for quantitative assessment of competency impact on digital transformation effectiveness. The scientific novelty lies in developing an integrated three-level competency model for logistics digital transformation with quantitative justification of weighting coefficients for each domain based on expert assessments and empirical data, as well as constructing a mathematical predictive model demonstrating statistically significant positive influence of competency index on transformation process effectiveness with determination coefficient exceeding seventy percent. The research systematizes diagnostic assessment tools including validated psychometric scales with acceptable reliability and construct validity indicators. Practical significance of obtained results consists in the possibility of utilizing developed instrumentation for comprehensive assessment of logistics enterprise personnel readiness for digital transformation, formation of individual competency development trajectories, and justification of investments in personnel training programs. The theoretical framework synthesizes resource-based view theory with dynamic capabilities approach to explain how human capital competencies mediate the relationship between digital technology adoption and organizational performance outcomes in contemporary supply chain contexts.