Process-Based Management and Its Impact on Labor Productivity

The execution of public policy in the realm of economic digital transformation is fundamentally intertwined with the modernization of management systems at the microeconomic level — particularly within industrial and service-oriented manufacturing enterprises. This article aims to pinpoint the principal drivers affecting labor productivity shifts in the digital economy and to explore how a process-based methodology can support the design and deployment of a digital enterprise management platform. The process-based approach serves as the core analytical framework, conceptualizing labor productivity enhancement as an integrated, systemic intervention. In practical terms, this involves creating and implementing novel managerial mechanisms and tools, structured around defined clusters of business processes and their associated quantifiable performance metrics. To illustrate this in practice, the article presents a case study: the «Mobility System» developed by the MOLNET Group — an intelligent automation platform for managing distributed networks of complex engineering infrastructure. This system enables end-to-end orchestration of both primary and auxiliary business processes and generates digital behavioral models of production operations for one of the country’s leading telecommunications providers. A key focus of the article is the synergistic integration of human and machine intelligence within the digital platform — an emerging capability that redefines collaborative labor. This integration leverages dispersion analysis and artificial intelligence techniques to model business processes, construct digital twins, and derive targeted interventions to boost productivity. The study demonstrates that digital enterprise management platforms function as critical bridges between high-level digital transformation strategies and tangible improvements in labor productivity and operational efficiency. They facilitate the adoption of adaptive, process-driven, and human-machine collaborative solutions at the operational tier. The article concludes with an economic evaluation of the anticipated benefits stemming from the deployment of such a digital platform. Methodologically, the research draws upon systems analysis, strategic management theory, and the strategizing methodology pioneered by Academician Vladimir L. Kvint. These frameworks enrich and evolve the traditional process approach, rendering it more agile, intelligent, and forward-looking — particularly in response to the demands of ongoing digital transformation. 

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