The purpose of this study is to examine the problem of harmonizing theory and practice in the management of digital business transformation and to conceptualize platform-based approaches to knowledge management in this field. This objective determined the two-stage research design of the study. In the first stage, an in-depth analysis was conducted to assess how management solutions for digital business transformation are represented in Russian academic literature. Based on an empirical study of the contribution made by the academic community to addressing practical issues of digital business transformation, the authors identified the extent to which relevant research is represented in the literature and assessed the practical significance of its findings. Additionally, a comparative analysis of the views of Russian and foreign researchers was performed. This analysis revealed both the convergence of Russian and international perspectives on the development of digital business transformation theory and several points of differentiation. The study found that theoretical research cannot be fully developed without feedback from the business community, while business organizations require methodological support but are constrained by institutional limitations. After identifying the imbalance between theory and practice in digital business transformation and determining its causes, the second stage of the study focused on conceptualizing platform-based approaches to knowledge management in this area. Since the state is also a stakeholder in digitalization processes, the authors conceptualized the possibilities and prospects of applying a platform-based approach to the organization of cooperation between the academic and business communities in the field of digital business transformation. As a result, a configuration model of a platform ecosystem for interaction between the academic and business communities is proposed.

Digitalization is one of the key trends in the development of the Russian electric power industry. It is aimed at improving the efficiency of energy generation and management systems in energy companies. At the same time, sectoral digital transformation programs will have to be implemented in the coming years amid a severe shortage of qualified personnel. This requires a revision of personnel training principles and the introduction of new educational formats that encourage employees to build long-term, systematic careers in the energy sector. The article identifies a set of critically scarce competencies required by engineers of energy companies involved in digitalization projects and describes their content. Technologies for developing these competencies are demonstrated using the case of the Sverdlovsk Branch of PJSC T Plus, one of the largest energy companies in the Russian Federation. The article discusses challenges in personnel training within secondary vocational, higher, and corporate education. Based on their systematization, a set of recommendations is proposed for introducing continuous and future-oriented training formats and developing a talent pool.

This article presents selected findings of an ontological analysis and examines the problems associated with the conceptual triad of challenges, risks, and threats. These problems arise both from the external environment and from the human factor. The triad affects the safety and efficiency of professional activity at the microeconomic level, particularly in research and design organizations involved in restoration projects for immovable cultural heritage properties. A literature review of sources addressing the problem under study is provided. The aim of the study is formulated as the search for ways to prevent the influence of this triad on the efficiency of the work performed, and the tasks required to achieve this aim are outlined. The study focuses on the assessment of comprehensive damage and indirect losses, as well as on approaches to measuring the effects produced by the triad. The range of methods and tools used in the study is specified. Several interim original results are obtained that identify the mechanism through which the triad contributes to error formation; the conceptual framework is refined, and a classification of challenges, risks, and threats representing real hazards is proposed. The triad may cause significant damage to an economic entity, impair its market activity, and damage its business reputation and brand value or, conversely, become a window of opportunity. The article presents a case involving the identification and correction of an error in the working documentation of a restoration project for an immovable cultural heritage property of regional significance after the documentation had passed expert review. Promising areas for further research are outlined, including a systematic study of triad formation and the use of threat assessment approaches in strategizing and planning systems. The results are discussed, and two interim conclusions are drawn.

The oil, gas, and petrochemical industries constitute as a complex system characterized by extensive interdependencies among multiple actors and a wide variety of resource flows. Effective management of these flows is the foundamental to the stability of the industries concerned. This study examines resource planning in interorganizational systems involving business entities operating in the oil, gas, and petrochemical industries. The study aimed to conceptualized the existing problems and develop a model for effective resource planning within such systems. The methods employed included observation, systems analysis, hypothetical-deductive reasoning, generalization, economic and mathematical modeling, and optimization. Based on the technological principles and the current operating conditions of oil, gas, and petrochemical production, the specific characteristics of resource flows within interorganizational systems were identified, and the available resource planning and management tools were analyzed accordingly. Barriers to effective resource planning in interorganizational systems of interaction in the Russian oil, gas, and petrochemical industries were identified. A conceptual economic and mathematical model of resource planning efficiency was developed. The model can be used to determing the optimal volumes and routes of resource flows within an interorganizational system. An approach to measuring the entropy of resource flows within systems comprising interacting business entities was also proposed. The developed model can serve as an component of an adaptive resource flow management framework used when establishing industrial clusters and other forms of interorganizational cooperation in the oil, gas, and petrochemical industries. The causal relationships identified in the study should be considered both in strategy development and operational management by industry participants and in the formulation and implemention of government policies regulating the development and operation of these industries.

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.