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Resilience capabilities of healthcare supply chain and supportive digital technologies

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  • Furstenau, Leonardo Bertolin
  • Zani, Carolina
  • Terra, Stela Xavier
  • Sott, Michele Kremer
  • Choo, Kim-Kwang Raymond
  • Saurin, Tarcisio Abreu

Abstract

Digital technologies (DT) help decision-makers cope with disruptive events and, consequently, boost the resilience of healthcare supply chains (HSC). However, previous studies on HSC have not focused on the types of resilience capabilities supported by respective DT or taken a holistic perspective of resilience from both proactive and reactive dimensions. In order to address this gap, we conducted a study of eight healthcare organizations based on semi-structured interviews with 15 HSC managers and document analysis. As a result, we identified 14 DT, such as big data analytics, predictive health data analysis, and remote monitoring of inventories. These DT supported organizational capabilities of resilient HSC, such as long-term collaborative planning and strategic alliances based on trust and shared goals. These findings were articulated in a framework that describes what and how technology adoption improves HSC resilience. We also present four research propositions for theory-testing in future studies, which stress that the relationship between DT and the four major potentials of resilient systems (i.e., anticipating, responding, monitoring and learning) is mediated by organizational resilience capabilities. The framework is expected to offer guidance and ideas for managers and policy-makers interested in designing and operating resilient HSC.

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  • Furstenau, Leonardo Bertolin & Zani, Carolina & Terra, Stela Xavier & Sott, Michele Kremer & Choo, Kim-Kwang Raymond & Saurin, Tarcisio Abreu, 2022. "Resilience capabilities of healthcare supply chain and supportive digital technologies," Technology in Society, Elsevier, vol. 71(C).
    • Handle: RePEc:eee:teinso:v:71:y:2022:i:c:s0160791x22002366
    DOI: 10.1016/j.techsoc.2022.102095
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    6. Fen Wu & Jing Zhu & Qinghong Xie, 2025. "Strategic Trade-Offs in Forward and Backward Integration: Evidence of Organizational Resilience from Systemic Supply Chain Disruptions," Sustainability, MDPI, vol. 17(20), pages 1-32, October.
    7. Han, Yilong & Li, Yinbo & Li, Yongkui & Yang, Bin & Cao, Lingyan, 2023. "Digital twinning for smart hospital operations: Framework and proof of concept," Technology in Society, Elsevier, vol. 74(C).
    8. Samadhiya, Ashutosh & Yadav, Sanjeev & Kumar, Anil & Majumdar, Abhijit & Luthra, Sunil & Garza-Reyes, Jose Arturo & Upadhyay, Arvind, 2023. "The influence of artificial intelligence techniques on disruption management: Does supply chain dynamism matter?," Technology in Society, Elsevier, vol. 75(C).
    9. Bertolin Furstenau, Leonardo & Abreu Saurin, Tarcisio, 2024. "Designing resilient health services supported by digital technologies: A study of the blood transfusion process," Technology in Society, Elsevier, vol. 77(C).
    10. Chen, Mu-Chen & Pang, Shinsiong & Su, Shau-Yu, 2025. "Sustainable global semiconductor supply chain network design considering ESG," Technology in Society, Elsevier, vol. 81(C).
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    12. Michael Sony & Jiju Antony & Guilherme L. Tortorella, 2023. "Critical Success Factors for Successful Implementation of Healthcare 4.0: A Literature Review and Future Research Agenda," IJERPH, MDPI, vol. 20(5), pages 1-22, March.
    13. Wang, Weizhong & Chen, Yu & Zhang, Tinglong & Deveci, Muhammet & Kadry, Seifedine, 2024. "The use of AI to uncover the supply chain dynamics of the primary sector: Building resilience in the food supply chain," Structural Change and Economic Dynamics, Elsevier, vol. 70(C), pages 544-566.
    14. Xu, Jingru & Yang, Baochen & Yuan, Chunlai, 2025. "The impact of supply chain digitalization on urban resilience: Do industrial chain resilience, green total factor productivity and innovation matter?," Energy Economics, Elsevier, vol. 145(C).

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