No abstract

PurposeThe coronavirus disease 2019 (COVID-19) pandemic created heavy pressure on firms, by increasing the challenges and disruptions that they have to deal with on being sustainable. For this purpose, it is aimed to reveal the role of the smart circular supply chain (SCSC) and its enablers towards achieving Sustainable Development Goals (SDGs) for post-pandemic preparedness.Design/methodology/approachTotal interpretive structural modelling and Matrice d'Impacts Croises Multipication Applique' a un Classement (MICMAC) have been applied to analyse the SCSC enablers which are supported by the natural-based resource view in Turkey's food industry. In this context, industry experts working in the food supply chain (meat sector) and academics came together to interpret the result and discuss the enablers that the supply chain experienced during the pandemic for creating a realistic framework for post-pandemic preparedness.FindingsThe results of this study show that “governmental support” and “top management involvement” are the enablers that have the most driving power on other enablers, however, none of them depend on any other enablers.Originality/valueThe identification of the impact and role of enablers in achieving SDGs by combining smart and circular capabilities in the supply chain for the post-pandemic.

Analyzing the drivers of smart sustainable circular supply chain for sustainable development goals through stakeholder theory. Business Strategy and the Environment.

Rapid and dynamic changes in environment, technologies, consumer behavior, policy making, and climate are putting extra pressure to food supply chain, especially in terms of efficiently manage food security, food surplus, food loss, and waste. These changes directly affect food supply chain negatively. Thus, transition into more circular approach for green business growth in food supply chains is a necessity. One way to reduce this negativity is to ensure the share of information along the chain. With this context, sharing information and knowledge among the food supply chain can facilitate practices from a circularity and green perspectives. Hence, this research focuses on understanding and revealing knowledge‐sharing networks challenges, barriers, and benefits across every food supply chain layer, presenting tangible contributions to improve traceability in circularity perspectives with refuse, rethink, reduce, reuse, repair, refurbish, remanufacture, repurpose, recycle, and recover challenges. Therefore, and to provide a green business growth, this study examines the practice of knowledge sharing among real‐life industry food stakeholders in the meat sector regarding their dimensions, what type of knowledge is shared and whether there are differences among specific groups of food stakeholders for the knowledge sharing. The aim of this research is to generate a validated conceptual framework to reveal how information technologies contributes to a more efficient knowledge sharing practices, hence, to impact the enhancement of efficient circular food supply chains for green business growth.

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.