Please use this identifier to cite or link to this item:
https://hdl.handle.net/20.500.14365/2533
Title: | Big Data-Enabled Solutions Framework To Overcoming the Barriers To Circular Economy Initiatives in Healthcare Sector | Authors: | Kazancoglu, Yigit Sagnak, Muhittin Lafci, Cisem Luthra, Sunil Kumar, Anil Tacoglu, Caner |
Keywords: | circular economy sustainable development healthcare sector big data tools barriers fuzzy best-worst fuzzy VIKOR waste issues Supply Chain Management Machine Learning Algorithms Social Sustainability Energy Efficiency Data Analytics Implementation Design Perspectives Decision Industry |
Publisher: | Mdpi | Abstract: | Ever-changing conditions and emerging new challenges affect the ability of the healthcare sector to survive with the current system, and to maintain its processes effectively. In the healthcare sector, the conservation of the natural resources is being obstructed by insufficient infrastructure for managing residual waste resulting from single-use medical materials, increased energy use, and its environmental burden. In this context, circularity and sustainability concepts have become essential in healthcare to meliorate the sector's negative impacts on the environment. The main aim of this study is to identify the barriers related to circular economy (CE) in the healthcare sector, apply big data analytics in healthcare, and provide solutions to these barriers. The contribution of this research is the detailed examination of the current healthcare literature about CE adaptation, and a proposal for a big data-enabled solutions framework to barriers to circularity, using fuzzy best-worst Method (BWM) and fuzzy VIKOR. Based on the findings, managerial, policy, and theoretical implementations are recommended to support sustainable development initiatives in the healthcare sector. | URI: | https://doi.org/10.3390/ijerph18147513 https://hdl.handle.net/20.500.14365/2533 |
ISSN: | 1660-4601 |
Appears in Collections: | PubMed İndeksli Yayınlar Koleksiyonu / PubMed Indexed Publications Collection Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection |
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