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From Policy to Operation: Exploring the Drivers and Success Factors of AI-enabled Medical Drone Adoption in Public Healthcare Supply Chain
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  • Isaac Sakyi Damoah,
  • Botchie David,
  • Chen Weifeng,
  • Braganza Ashley,
  • Paul Twum
Isaac Sakyi Damoah
Johnson & Wales University College of Business

Corresponding Author:isaac.damoah@jwu.edu

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Botchie David
Brunel University London Business School
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Chen Weifeng
Brunel University London Business School
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Braganza Ashley
Brunel University London Business School
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Paul Twum
Kumasi Technical University
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The rise of AI is viewed as the next important technology in human history that would serve as a driver for sustainable development. Accordingly, several organizations have incorporated AI into their operations – including healthcare, hence, attracting extant literature to AI discussions. However, AI literature in healthcare has focused on medical diagnosis, operations, and prescriptions – to the neglect of supply chain (SC). This study bridges this knowledge gap by exploring the drivers and success factors of AI-enabled medical drones’ adoption in public healthcare SC. Drawing on data from the world’s largest medical drone programme in Ghana, we find that the need to make the public healthcare SC efficient with the aim of improving the socio-economic life of the citizens is the main driver of the policy adoption. Several success factors are identified and categorized into three phases – policy, project, and operation. Long-term policy and operating sustainability are delineated.
31 Jan 2023Submitted to International Journal of Health Planning and Management
03 Feb 2023Assigned to Editor
03 Feb 2023Submission Checks Completed
03 Feb 2023Review(s) Completed, Editorial Evaluation Pending
05 Feb 2023Reviewer(s) Assigned
22 Apr 2023Editorial Decision: Revise Major