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

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Date

2022

Authors

Yasanur Kayikci
Yigit Kazancoglu
Çisem Lafci
Nazlican Gozacan
Sachin Kumar Kumar Mangla

Journal Title

Journal ISSN

Volume Title

Publisher

Emerald Group Holdings Ltd.

Open Access Color

Green Open Access

Yes

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Publicly Funded

No
Impulse
Top 10%
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Average
Popularity
Top 10%

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Journal Issue

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. © 2022 Elsevier B.V. All rights reserved.

Description

Keywords

Circular Economy, Industry 4.0, Natural Resource-based Review, Smart Circular Supply Chain, Sustainable Development Goals, Total interpretive Structural Modelling, 0, Circular Economy, Smart Circular Supply Chain, Sustainable Development Goals, Industry 4.0, Industry 4, Total Interpretive Structural Modelling, Natural Resource-Based Review, Total Interpretive Structural Modelling

Fields of Science

0502 economics and business, 05 social sciences

Citation

WoS Q

Scopus Q

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OpenCitations Citation Count
33

Source

Journal of Enterprise Information Management

Volume

35

Issue

1

Start Page

237

End Page

265
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Citations

CrossRef : 34

Scopus : 49

Captures

Mendeley Readers : 244

SCOPUS™ Citations

49

checked on Apr 09, 2026

Web of Science™ Citations

34

checked on Apr 09, 2026

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OpenAlex FWCI
5.9119

Sustainable Development Goals

GOOD HEALTH AND WELL-BEING3
GOOD HEALTH AND WELL-BEING
INDUSTRY, INNOVATION AND INFRASTRUCTURE9
INDUSTRY, INNOVATION AND INFRASTRUCTURE
RESPONSIBLE CONSUMPTION AND PRODUCTION12
RESPONSIBLE CONSUMPTION AND PRODUCTION
LIFE BELOW WATER14
LIFE BELOW WATER
PARTNERSHIPS FOR THE GOALS17
PARTNERSHIPS FOR THE GOALS