Evaluation of green and sustainable supply chain management using structural equation modelling: A systematic review of the state of the art literature and recommendations for future research

Abbas Mardani, Devika Kannan*, Robert E. Hooker, Seckin Ozkul, Melfi Alrasheedi, Erfan Babaee Tirkolaee

*Kontaktforfatter for dette arbejde

Publikation: Bidrag til tidsskriftTidsskriftartikelForskningpeer review

Abstrakt

The main purpose of this article to present a comprehensive review of the application of the Structural Equation Modelling (SEM) in the assessment of sustainable and green supply chain management (SCM). In this paper, we systematically identified, reviewed, and categorized the selected papers in various key perspectives, including application area, research problem and study purpose and gap, type of method and technique, name of variables, name and country of authors, related theory, unit of analysis, publication year, number of hypotheses, number of sample and scope, respondents, measure validation, data collection method, and finally, findings and results. The findings of this review study demonstrated that previous works have used the SEM in the field of green SCM. In addition, it appears the manufacturing sector had the highest rank among other sectors. Results report the majority of published papers have used SmartPls and the resource-based theory (RBV) theory achieved first rank among other theories. With 16 records, Journal of Cleaner Production stands out as the most prominent outlet, and scholars published 16 papers in the year of 2016 as the most influential year. According to the findings, we identified the United States with 16 records, as the most prominent country compared to other countries. This review paper proves to be a valuable source of information for readers and practitioners in the field of SCM because it presents useful insights into green and sustainable SCM development and offers a better understanding of the current body of knowledge in these fields.

OriginalsprogEngelsk
Artikelnummer119383
TidsskriftJournal of Cleaner Production
Vol/bind249
ISSN0959-6526
DOI
StatusUdgivet - 10. mar. 2020

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