Efficiency of Digital Interactions in a Manufacturing Organization: Transactional Tomography

The article develops a methodological approach to assessing the efficiency of digital interactions within a manufacturing organization amid digital transformation, platformization, and the emergence of ecosystem-based forms of coordination. The relevance of the study stems from the inability of traditional performance indicators to adequately capture organizational performance in a digitally networked environment, where the speed, connectivity, transparency, cost, and completion of digital interactions between internal units and external actors become increasingly important. The study aims to develop a composite indicator and a system of component indicators for assessing the efficiency of digital interactions within a manufacturing organization based on transactional tomography. The methodological framework is based on functional analysis, which allows digital interactions to be viewed as a set of transactions performing coordination, information-sharing, control, alignment, and adaptation functions. The article proposes a conceptual framework for transactional tomography as a method for analyzing digital interactions across multiple layers and dimensions: actor, functional, process, temporal, cost, structural, performance, and ecosystem. A system of component indicators is developed and organized into six groups: time efficiency, cost efficiency, structural efficiency, functional coverage, transaction performance, and ecosystem synchronization. On this basis, the study proposes a composite digital interaction efficiency index and a tomographic efficiency coefficient. These measures enable a comprehensive assessment of the digital architecture of a manufacturing organization and help identify bottlenecks, redundant approval paths, overloaded nodes, and areas of weak interorganizational alignment. The novelty of the study lies in conceptualizing digital interactions as a multidimensional transactional structure that can be quantitatively assessed using tomographic analysis. The practical significance of the proposed framework lies in its applicability to digital interaction audits, digital transformation monitoring, business process reengineering, supply chain management, and the improvement of management control systems in manufacturing organizations.

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