Abstract
This study investigates how Digital Twin (DT) technology enhances supply chain resilience (SCR) under lean inventory conditions by improving organizational information processing capability (IPC). Grounded in Information Processing Theory (IPT), it proposes a conceptual model integrating DT, IPC, lean inventory, and SCR. Using a multiple case study of BMW, Lenovo, and Walmart, it explores how DT enables resilience through three IPC mechanisms: real-time sensing, predictive simulation, and collaborative feedback. These capabilities allow firms to maintain responsiveness and service continuity without excess inventory buffers. The findings extend IPT to digital supply chain contexts and introduce “information-based resilience” as a mechanism for resolving the lean–resilience tension. Practically, the study provides insights for firms seeking adaptive and efficient supply chains through digital transformation, while offering a theoretical foundation for future empirical research on IPC’s role in mediating the impact of DT.
Recommended Citation
Liu, Limu and Peko, Gabrielle, "A Mechanism Study on Digital Twin-Enabled Lean Inventory
Management for Enhancing Supply Chain Resilience: An
Information Processing Theory Perspective" (2025). ACIS 2025 Proceedings. 98.
https://aisel.aisnet.org/acis2025/98