Author
Listed:
- Kartika Nur Alfina
(Institut Teknologi Bandung (ITB)
University of Stavanger)
- R. M. Chandima Ratnayake
(University of Stavanger)
- Dermawan Wibisono
(Institut Teknologi Bandung (ITB))
- Mursyid Hasan Basri
(Institut Teknologi Bandung (ITB))
- Nur Budi Mulyono
(Institut Teknologi Bandung (ITB))
Abstract
The emergence of the circular economy (CE) paradigm is a key driver in steering industrial sectors towards sustainability. The formulation of a robust circularity strategy depends on a comprehensive assessment, which is closely related to the overarching goal of managing the transition to circularity. The initial phase of transition within the healthcare sector reinforces the need to seamlessly integrate CE principles. It is therefore imperative to define and carefully monitor indicators that will help assess and improve sustainability, operational efficiency, supply chain resilience and stakeholder satisfaction, including both consumers and patients. The primary objective of this research is to prioritize relevant performance indicators that will be critical in measuring the effectiveness of the transition to a circular economy within the healthcare supply chain. To achieve this objective, the study employs the Analytic Hierarchy Process (AHP), a well-established methodology known for its effectiveness in solving complex multi-criteria challenges. The AHP is used to prioritize performance indicators that facilitate the management of the circular economy transition in the healthcare supply chain. The focus is on improving the quality of care, optimizing delivery efficiency, and emphasizing environmental sustainability within the healthcare paradigm. The methodological framework includes the identification of key main criteria covering environmental, social, economic, and logistical dimensions. These criteria are further refined with the inclusion of 14 sub-criteria, resulting in a list of 16 key performance indicators (KPIs). Additionally, the study proposes an alternative business model advocating for the implementation of the Circular Supply Chain Operation Reference Model (circular SCOR). This model offers a perspective for rapid change in supply chain processes towards circular transition within the healthcare system. The final stage of the research involves verifying the results through sensitivity analysis and correlation mapping of the indicator results with the Circular SCOR model. This process helps organizations refine their performance measurement protocols, enhancing their capacity for effective evaluation and strategic decision-making within the circular economy framework. This comprehensive approach enables healthcare organizations to proactively contribute to a more sustainable and environmentally conscious future while maintaining a focus on quality care for patient well-being.
Suggested Citation
Kartika Nur Alfina & R. M. Chandima Ratnayake & Dermawan Wibisono & Mursyid Hasan Basri & Nur Budi Mulyono, 2025.
"Prioritizing Performance Indicators for the Circular Economy Transition in Healthcare Supply Chains,"
Circular Economy and Sustainability, Springer, vol. 5(1), pages 231-276, February.
Handle:
RePEc:spr:circec:v:5:y:2025:i:1:d:10.1007_s43615-024-00436-9
DOI: 10.1007/s43615-024-00436-9
Download full text from publisher
As the access to this document is restricted, you may want to search for a different version of it.
Corrections
All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:circec:v:5:y:2025:i:1:d:10.1007_s43615-024-00436-9. See general information about how to correct material in RePEc.
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
We have no bibliographic references for this item. You can help adding them by using this form .
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .
Please note that corrections may take a couple of weeks to filter through
the various RePEc services.