Smart circular supply chains to achieving SDGs for post-pandemic preparedness

KAYIKCI, Yasanur, KAZANCOGLU, Y., LAFCI, C., GOZACAN-CHASE, N. and MANGLA, S.K. (2021). Smart circular supply chains to achieving SDGs for post-pandemic preparedness. Journal of Enterprise Information Management, 35 (1), 237-265.

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Link to published version:: https://doi.org/10.1108/JEIM-06-2021-0271
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    Abstract

    Purpose: The 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/approach: Total 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. Findings: The 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/value: The 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.

    Item Type: Article
    Uncontrolled Keywords: Circular economy; Industry 4; 0; Smart circular supply chain; Sustainable development goals; Total interpretive structural modelling; Natural resource-based review; Business & Management; 0806 Information Systems; 0807 Library and Information Studies; 1503 Business and Management
    Identification Number: https://doi.org/10.1108/JEIM-06-2021-0271
    Page Range: 237-265
    SWORD Depositor: Symplectic Elements
    Depositing User: Symplectic Elements
    Date Deposited: 14 Mar 2022 15:01
    Last Modified: 14 Mar 2022 15:01
    URI: http://shura.shu.ac.uk/id/eprint/29884

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