Purpose- Recently, Disruptive Technologies (DTs) have proposed several innovative applications in managing logistics and promise to transform the entire logistics sector drastically. Often, this transformation is not successful due to the existence of adoption barriers to DTs. This study aims to identify the significant barriers that impede the successful adoption of DTs in the logistics sector and examine the interrelationships among them. Design/methodology/approach- Initially, twelve critical barriers were identified through an extensive literature review on disruptive logistics management, and they were screened to ten relevant barriers with the help of Fuzzy Delphi Method (FDM). Further, an Interpretive Structural Modelling (ISM) approach was built with the inputs from logistics experts working in the various departments of warehouses, inventory control, transportation, freight management, and customer service management. It was then used to generate and examine the interrelationships among the critical barriers. Matrics d’Impacts Croises-Multiplication Applique an Classement (MICMAC) analysed the barriers based on their driving and dependence power. Findings – Results from the ISM-based technique reveal that the lack of top management support (B6) was a critical barrier that can influence the adoption of DTs. Other significant barriers, such as legal and regulatory frameworks (B1), infrastructure (B3), and resistance to change (B2), were identified as the driving barriers, and industries need to pay more attention to them for the successful adoption of DTs in logistics. The MICMAC analysis shows that the legal & regulatory framework and lack of top management support have the highest driving powers. In contrast, lack of trust, reliability, and privacy/security emerge as barriers with high dependence powers. Originality/value - The contributions of this study are four-fold. First, it identifies the different DTs in the logistics sector. Second, it applies the theory of disruptive innovations and the framework of the ecosystem to rationalise the choice of these seven DTs. Third, it identifies and critically assesses the barriers to the successful adoption of these DTs through a strategic evaluation procedure with the help of a framework built with inputs from logistics experts. Fourth, it recognises DTs adoption barriers in logistics management and provides a foundation for future research to eliminate those barriers. Keywords- Disruptive technologies; Internet of Things; Blockchain, Bigdata; Drone; Driverless vehicle; Artificial Intelligence; 3D printing; Logistics Management