Strategizing Business Processes of Industrial Enterprise Operations in the Cybernetic Era

Abstract

The relevance of this study arises from the limited effectiveness of digital transformation projects in large enterprises, which are often implemented without alignment with strategic development objectives. In the context of the sixth long wave of technological conjuncture as defined by N.D. Kondratiev, large enterprises have already accumulated vast volumes of big data but lack platforms offering tools for transforming the results of data processing into managerial decisions aimed at improving labor productivity-interpreted in this study as a measurable expression of the strategic interests of the enterprise as an object of strategizing. The aim of the study is to develop an intelligent and adaptive model for strategic management of process development, based on the informed selection of priority areas of transformation within the enterprise's digital platform. The proposed platform architecture is designed to support managerial decision-making in the strategizing of digital process development under conditions of high technological volatility and organizational fragmentation.The research methodology consists of several stages. At the initial stage, a classification of business processes was developed, reflecting their functional roles within the designed digital control contour. This was followed by an expert assessment of digital maturity based on a structured survey with criteria including automation, integration with corporate information systems, and the formalization of operational regulations. In parallel, retrospective performance data were analyzed to quantitatively assess the contribution of each process group to labor productivity growth.The results of both assessments were used to position processes within a matrix of strategic significance, representing the relationship between digital maturity and productivity impact. This made it possible to identify priority transformation areas, high-performing processes, lowpotential segments, and optimization zones where targeted digital solutions and organizational adjustments are recommended.The proposed architecture of the digital strategic management platform builds upon the results of business process segmentation and implements key functions such as goal setting, scenario analysis, performance monitoring, and coordination of transformation participants. The classification of business processes provides a structural foundation for aligning strategic objectives with the current operational tasks of the enterprise. The findings support the initial hypothesis regarding the feasibility of interpreting labor productivity as a utility function and suggest that the proposed platform architecture offers a viable basis for transitioning from fragmented approaches to a more structured and manageable model of digital transformation. Future research will focus on piloting the proposed model across various industrial sectors.