Big Data-Enabled Solutions Framework to Overcoming the Barriers to Circular Economy Initiatives in Healthcare Sector

Yiğit Kazançoğlu, Muhittin Sağnak, Çisem Lafcı, Sunil Luthra, Anil Kumar and Caner Taçoğlu
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Yiğit Kazançoğlu: Department of International Logistics Management, Faculty of Business, Yaşar University, İzmir 35100, Turkey
Muhittin Sağnak: Department of Information Management, İzmir Katip Celebi University, İzmir 35620, Turkey
Çisem Lafcı: Department of International Logistics Management, Faculty of Business, Yaşar University, İzmir 35100, Turkey
Sunil Luthra: Department of Mechanical Engineering, Ch. Ranbir Singh State Institute of Engineering and Technology, Jhajjar-124103, India
Anil Kumar: Guildhall School of Business and Law, London Metropolitan University, London N7 8DB, UK
Caner Taçoğlu: Department of Industrial Engineering, Faculty of Engineering, İzmir University of Economics, İzmir 35330, Turkey

IJERPH, 2021, vol. 18, issue 14, 1-21

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.

Keywords: circular economy; sustainable development; healthcare sector; big data tools; barriers; fuzzy best-worst; fuzzy VIKOR; waste issues (search for similar items in EconPapers)
JEL-codes: I I1 I3 Q Q5 (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (3)

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