Digital Integration of Logistics in the Context of Logistics Maturity Models

Abstract

Logistics maturity models (LMMs) are strategic frameworks used to assess organizational capabilities and support continuous improvement. However, existing models provide limited consideration of digital integration as a capability connecting organizational processes and supply chain actors within the Industry 4.0 context. This study addresses a significant research gap concerning the incorporation of digital transformation concepts into logistics maturity models. A systematic literature review (SLR) based on the PRISMA methodology was conducted, analyzing 92 peer-reviewed articles indexed in Scopus and Web of Science between 2018 and 2025. The study combines bibliometric techniques, including co-citation and co-word analyses, with qualitative content analysis. The findings indicate that current LMMs focus primarily on process optimization and organizational readiness, while digital integration is often treated as isolated technology adoption rather than a core maturity dimension. Four major research streams were identified: Industry 4.0 technologies, digital capabilities, data-driven decision-making, and maturity assessment. Based on these findings, a conceptual framework is proposed that positions digital integration as the central mechanism linking Industry 4.0 technologies, logistics maturity, supply chain performance, and organizational competitiveness. The study consolidates fragmented knowledge, proposes a future research agenda, and offers practical guidance for managers pursuing digital transformation initiatives.