Smart circular supply chains to achieving SDGs for post-pandemic preparedness
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Date
2022
Authors
Yasanur Kayikci
Yigit Kazancoglu
Cisem Lafci
Nazlican Gozacan-Chase
Sachin Kumar Mangla
Journal Title
Journal ISSN
Volume Title
Publisher
EMERALD GROUP PUBLISHING LTD
Open Access Color
Green Open Access
Yes
OpenAIRE Downloads
OpenAIRE Views
Publicly Funded
No
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.
Description
Keywords
Circular economy, Industry 4, 0, Smart circular supply chain, Sustainable development goals, Total interpretive structural modelling, Natural resource-based review, RESOURCE-BASED VIEW, TOP MANAGEMENTS COMMITMENT, STRUCTURAL MODELING TISM, INDUSTRY 4.0, ENVIRONMENTAL PERFORMANCE, COMPETITIVE ADVANTAGE, ECONOMY, SUSTAINABILITY, INNOVATION, FRAMEWORK
Fields of Science
0502 economics and business, 05 social sciences
Citation
WoS Q
Scopus Q

OpenCitations Citation Count
33
Source
Journal of Enterprise Information Management
Volume
35
Issue
Start Page
237
End Page
265
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Citations
CrossRef : 34
Scopus : 49
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Mendeley Readers : 244
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