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How Robotics is Shaping Digital Logistics and Supply Chain Management: An Ongoing Call for Research

R. Kelly Rainer et al.

Journal of Business Logistics2025https://doi.org/10.1111/jbl.70005article
AJG 3ABDC A
Weight
0.68

Abstract

The Journal of Business Logistics has been the top location for publishing logistics and supply chain‐related technological research for over forty years. With digital transformation, reshoring of manufacturing, labor shortages, decreasing birth rates, and aging workforces, companies are increasingly adopting artificial intelligence‐supported robotics to increase the ability of supply chains to react quickly and effectively to changes in customer demand, market conditions, or disruptions. This paper analyzes the use of hardware robots across the logistics fulfillment process. The study addresses the evolution of robotic training from explicit programming to machine learning and continues with a detailed discussion of generative machine learning. We then provide an overview of key hardware robots driven by generative machine learning models that are used in the fulfillment process. The paper examines the challenges that robot adoption presents to organizations and concludes with explicit directions for further research using the Theory of Resource Orchestration.

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https://doi.org/https://doi.org/10.1111/jbl.70005

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@article{r.2025,
  title        = {{How Robotics is Shaping Digital Logistics and Supply Chain Management: An Ongoing Call for Research}},
  author       = {R. Kelly Rainer et al.},
  journal      = {Journal of Business Logistics},
  year         = {2025},
  doi          = {https://doi.org/https://doi.org/10.1111/jbl.70005},
}

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How Robotics is Shaping Digital Logistics and Supply Chain Management: An Ongoing Call for Research

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Evidence weight

0.68

Balanced mode · F 0.40 / M 0.15 / V 0.05 / R 0.40

F · citation impact0.76 × 0.4 = 0.30
M · momentum1.00 × 0.15 = 0.15
V · venue signal0.50 × 0.05 = 0.03
R · text relevance †0.50 × 0.4 = 0.20

† Text relevance is estimated at 0.50 on the detail page — for your query’s actual relevance score, open this paper from a search result.