The Future of Inventory Management in Healthcare Supply Chains

A special issue of Logistics (ISSN 2305-6290). This special issue belongs to the section "Humanitarian and Healthcare Logistics".

Deadline for manuscript submissions: 3 October 2025 | Viewed by 848

Special Issue Editor


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Guest Editor
Marketing and Supply Chain Management, North Carolina A&T State University, Greensboro, NC 27411, USA
Interests: healthcare system and service supply chain optimization using mathematical and statistical models; exploring strategies to increase transportation access to improve healthcare outcomes; establishing drone training initiatives to enhance medicine delivery

Special Issue Information

Dear Colleagues,

This Special Issue aims to explore how innovative approaches and methodologies are used to further advance inventory management practices in healthcare supply chains. With the rise of Blockchain technology and AI, healthcare systems have the opportunity to experience significant improvements in their operations, which could result in more positive patient practices. The pandemic has caused many to now understand that managing inventory in healthcare is critical to meeting the needs of patients where, in many circumstances, a sense of urgency may be present. As a result, the goal and the scope of this Special Issue is to investigate advancements in inventory management and share how these developments can positively impact healthcare supply chains. The purpose of this Special Issue is to provide academics and practitioners a collective body of work that can be referenced for implementation purposes and future research initiatives. In addition, this Special Issue will build on the existing literature that focuses on optimizing inventory management in healthcare while looking at the new and emerging technologies available to initiate further progression. Furthermore, this Special Issue contributes to Logistics, as one of the key aims of this journal is the scientific advancement and cutting-edge innovation in the supply chain and logistics sector.

Dr. Laquanda Johnson
Guest Editor

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

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Keywords

  • healthcare
  • logistics
  • inventory
  • AI
  • blockchain
  • big data

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Published Papers (1 paper)

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Research

16 pages, 592 KiB  
Article
Leveraging Blockchain for Transparency: A Study on Organ Supply Chains and Transplant Processes
by Rashmi Ranjan Panigrahi, Subhodeep Mukherjee, Zakir Hossen Shaikh and Naji Mansour Nomran
Logistics 2025, 9(1), 9; https://doi.org/10.3390/logistics9010009 - 9 Jan 2025
Viewed by 603
Abstract
Background: Organ transplants require proper monitoring and tracking. This research examines the adoption of blockchain in the organ supply chain to bring transparency and help patients avoid the fraud that may be faced in the organ transplant process. This study aims to [...] Read more.
Background: Organ transplants require proper monitoring and tracking. This research examines the adoption of blockchain in the organ supply chain to bring transparency and help patients avoid the fraud that may be faced in the organ transplant process. This study aims to develop a framework and measure for creating transparency in the organ supply chain. A rigorous literature review identified eight constructs for blockchain adoption in organ supply chains and proposed hypotheses. Methods: Using a structured questionnaire, 286 valid responses were collected from the hospitals. Structural equation modelling was used to test and validate the model. Results: The study’s findings indicate that social influence, trust, facilitating conditions, government support, performance expectancy, data security and privacy, and technology affinity positively impact blockchain adoption in organ transplants. The hypothesis that was rejected was related to effort expectancy and technology readiness. Most respondents agreed that blockchain technology is necessary for a tracking and tracing system in the organ supply chain. Conclusions: This research will support transparency in the organ supply chain, eliminate intermediaries from organ transplants, and ensure organ quality, ultimately benefiting the organ donor and receiver. Full article
(This article belongs to the Special Issue The Future of Inventory Management in Healthcare Supply Chains)
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