Digging deep: futuristic building blocks of omni-channel healthcare supply chain resiliency using a machine learning approach

Anil Kumar, Farheen Naz, Sunil Luthra, Rajat Vashistha, Vikas Kumar, Jose Arturo Garza-Reyes, Deepak Chhabra

Research output: Contribution to journalArticlepeer-review

2 Citations (SciVal)

Abstract

There is a lack of studies which have explored the factors of omni-channel healthcare supply chain resiliency (OHSCR). Thus, the current study explores the resiliency factors of healthcare supply chains (HSCs) and the development of futuristic blocks of OHSCR. In the first phase of the study, the resiliency factors of HSCs were identified through an extensive literature review and expert interviews. In the second phase, a machine learning approach, i.e., K-means clustering, was used to develop the futuristic blocks of OHSCR. Lastly, in the third phase, implications and future research propositions were discussed. The findings of this study suggest that the healthcare sector evaluating OHSCR should focus on six key building blocks: data-driven management and transformative technological adoption, flexible and transparent organisational management system, robust and diversified supply chain system, responsible and customer-centric supply chain, information sharing and knowledge management, and strategic alignment and network ecosystem. A conceptual research framework is also proposed to support future research.
Original languageEnglish
JournalJournal of Business Research
DOIs
Publication statusPublished (VoR) - 2 Apr 2023

Keywords

  • Healthcare supply chains
  • Omni-channel
  • Resilience
  • Omni-channel Healthcare Supply Chains Resiliency
  • Machine learning

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