METHODOLOGICAL APPROACH TO ASSESSING THE MATURITY LEVEL OF DIGITAL TRANSFORMATION OF ENTERPRISE LOGISTICS
DOI:
https://doi.org/10.31732/2663-2209-2026-81-370-378Keywords:
digital transformation, maturity model, logistics processes, ERP system, WMS, TMS, SaaS solutions, integrated indexAbstract
The article is devoted to the development of a methodological approach to assessing the maturity level of digital transformation of enterprise logistics processes in the conditions of the fourth industrial revolution. The relevance of the study is determined by the growing role of digitalization in ensuring the competitiveness of enterprises and the lack of unified tools for assessing the digital maturity of logistics systems that would take into account the specifics of integration of corporate information systems such as ERP, WMS and TMS. The problem is exacerbated by the rapid development of cloud technologies and SaaS solutions that are transforming traditional approaches to logistics operations management. The purpose of the study is to systematize existing digital transformation maturity models and develop the original LOGDIM model with verified criteria and mathematical tools for quantitative assessment. The research methodology is based on a systematic literature review using Scopus and Web of Science databases for the period 2020-2025, comparative analysis of leading maturity models, synthesis of criteria and indicators, mathematical modeling using maturity level aggregation formulas, and forecasting the trajectory of digital transformation. The scientific novelty lies in the development of a comprehensive five-level digital maturity assessment model that integrates four key dimensions: technological infrastructure, process maturity, organizational readiness, and strategic alignment. An original formula for calculating the Integrated Digital Maturity Index of Logistics and a predictive model of digital transformation trajectory based on the logistic function are proposed. The model was tested on a hypothetical sample of enterprises from different industries and scales. The practical significance of the results lies in the possibility of applying the model for diagnosing the current state of digitalization, identifying maturity gaps between functional units, forming a transformation roadmap, and justifying investments in digital technologies. Prospects for further research include empirical validation of the model on a representative sample of Ukrainian enterprises and adaptation of criteria for specific economic sectors.
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