Effect of Supply Chain Analytics on Healthcare Supply Chain Performance: The Relevance of Building Responsive, Resilience, Restoration (3rs) and Desorptive Capabilities

Authors:
  • EWEmmanuel Williams
    Emmanuel Williams
  • JAJohn Attah
    John Attah
  • FDFrancisca Dela Degbe
    Francisca Dela Degbe
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Abstract
This paper examined how the performance of healthcare supply chain performance could be achieved through supply chain analytics (SCA) as well as building responsive, resilient, and restorative (3Rs) capabilities. The paper further assessed the moderating role of desroptive capacity in the SCA and healthcare supply chain performance (HSCP) nexus. The study was motived by the dynamic capability theory. The model underwent validation using primary data collected from 374 managers of healthcare facilities in Ghana. Data analysis was conducted using SPSS and Amos. The findings revealed SCA significantly drives healthcare supply chain performance and the 3Rs capabilities. The findings further showed that building the 3Rs capabilities aids in channeling the effect of SCA to drive enhanced healthcare supply chain performance. Finally, we also observed high levels of desorptive capacity amplifies the effect of SCA on HSCP. This paper make important contributions to both literature and practice empirically demonstrating how the effect of SCA can be channeled to enhance SCP at varying levels of desorptive capacity in the context of healthcare delivery. Practically, our study has demonstrated that SCA is not a “silver bullet” and that it must be built together with other capabilities to reap the full benefits. Additionally, the paper provides insights for supply chain managers on the importance of integrating supply chain analytics into their decision-making processes to build and enhance these capabilities. The paper offer contemporary guidance to managers on how to better prepare their supply chains to effectively respond to disruptions and improve overall performance.

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