Assessing the digital management maturity level at an enterprise

Abstract

The relevance of this study is driven by the rapid development of digital technologies, which are changing the principles of management and the organization of enterprise business activities. Digital management is becoming a key factor in the development of organizations in the context of the transition to a digital economy, which aligns with the priorities of Russian state policy as well. However, the problem of assessing the level of digital management maturity at enterprises remains insufficiently addressed. The aim of this study is to develop and test an approach to assessing the level of digital management maturity at an enterprise. A combination of methods was used in the study. At the theoretical and methodological stage, the definition of digital management was formulated and its key components were identified based on the literature review. In the process of approach development, the multi-level maturity assessment model was created using a scoring system (from 1 to 5 points for each indicator). At the pilot phase, the model was applied to assess 12 small and medium-sized oil and gas enterprises in the Samara Region using the interview data, documentation analysis, and expert assessments (June – October 2025). The scientific novelty lies in the development of a comprehensive model for assessing the maturity of digital management at an enterprise, structured around five components (management characteristics, data management, digital environment, process organization, and management quality) and describing five sequential maturity levels. The testing of the model revealed most of the studied enterprises are at the second level – "partial digitalization." These enterprises are characterized by fragmented use of digital tools, the absence of a unified enterprise management information system, and the prevalence of manual data collection and an ad hoc approach to management decision-making. The key weaknesses identified include a high degree of dependence of business processes on the human factor and the lack of developed data analytics. The developed approach not only allows for the diagnosis of the current state of digital management at an enterprise but identifies specific areas for its development, serving as a roadmap for the transition to data-driven management as well.