The DOI matches its Crossref record; 185 of the 185 references it cites were found in a registry or an index.
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
Open accessAbstract
Abstract 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.
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Cites
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An assessment of the use of partial least squares structural equation modeling in marketing research
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From a literature review to a conceptual framework for sustainable supply chain management
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Cited by
Parmentola, A., Petrillo, A., Tutore, I., & De Felice, F. (2022) · Business Strategy and the Environment · doi:10.1002/bse.2882 · Cited by 429
Can digital transformation improve market and ESG performance? Evidence from Chinese SMEs
Wang, S., & Esperança, J. P. (2023) · Journal of Cleaner Production · doi:10.1016/j.jclepro.2023.137980 · Cited by 315
Supply chain sustainability and performance of firms: A meta-analysis of the literature
Govindan, K., Rajeev, A., Padhi, S. S., & Pati, R. K. (2020) · Transportation Research Part E: Logistics and Transportation Review · doi:10.1016/j.tre.2020.101923 · Cited by 253
Tirkolaee, E. B., Goli, A., Ghasemi, P., & Goodarzian, F. (2022) · Journal of Cleaner Production · doi:10.1016/j.jclepro.2021.130056 · Cited by 253
Self-citationAlkaraan, F., Elmarzouky, M., Hussainey, K., & Venkatesh, V. G. (2023) · Technological Forecasting and Social Change · doi:10.1016/j.techfore.2022.122187 · Cited by 247
Metadata
- Authors
- Mardani, A., Kannan, D., Hooker, R. E., Ozkul, S., Alrasheedi, M., & Tirkolaee, E. B.
- Venue
- Journal of Cleaner Production
- Publisher
- Elsevier BV
- Published
- 2020-03
- Volume
- 249
- Pages
- 119383
- ISSN
- 0959-6526 (ISSN-L)
- OpenAlex
- W2990392194
- Cited by
- 266
- References
- 185
- FWCI
- 6.87
- Type
- journal article
- Language
- en
- Open access
- green
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- Mardani, A., Kannan, D., Hooker, R. E., Ozkul, S., Alrasheedi, M., & Tirkolaee, E. B. (2020). 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. Journal of Cleaner Production. https://doi.org/10.1016/j.jclepro.2019.119383
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
