| Title |
Smart circular supply chains to achieving SDGs for post-pandemic preparedness |
| ID_Doc |
29915 |
| Authors |
Kayikci, Y; Kazancoglu, Y; Lafci, C; Gozacan-Chase, N; Mangla, SK |
| Title |
Smart circular supply chains to achieving SDGs for post-pandemic preparedness |
| Year |
2022 |
| Published |
Journal Of Enterprise Information Management, 35.0, 1 |
| DOI |
10.1108/JEIM-06-2021-0271 |
| 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. |
| Author Keywords |
Circular economy; Industry 4; 0; Smart circular supply chain; Sustainable development goals; Total interpretive structural modelling; Natural resource-based review |
| Index Keywords |
Index Keywords |
| Document Type |
Other |
| Open Access |
Open Access |
| Source |
Social Science Citation Index (SSCI) |
| EID |
WOS:000716332600001 |
| WoS Category |
Computer Science, Interdisciplinary Applications; Information Science & Library Science; Management |
| Research Area |
Computer Science; Information Science & Library Science; Business & Economics |
| PDF |
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