Advancing sustainable supply chain management − integrating blockchain technology for carbon emission reduction

This research investigates into the optimization of supply chain operations by leveraging advanced blockchain solutions, with a specific focus on the Indian carbon emission landscape for performance enhancement. In the context of a rapidly evolving global economy and increasing environmental concerns, the study explores how blockchain technology can be strategically employed to streamline supply chain processes while addressing the unique challenges posed by carbon emissions in the Indian context. By adopting a tailored perspective that considers the intricacies of the Indian carbon emission scenario, the research aims to identify practical and effective strategies for enhancing overall supply chain performance. Through a combination of theoretical analysis and empirical insights, this study contributes to the development of sustainable and region-specific supply chain practices, providing valuable guidance for businesses navigating the intersection of advanced blockchain solutions, carbon emissions, and operational optimization in the Indian market. The R-squared value, a measure of the goodness-of-fit for the regression model, is found to be approximately 0.9841. This high R-squared value indicates that the model, which predicted carbon emissions, effectively captures the variability in the observed data.

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Publication Details

Journal
Egyptian Informatics Journal
Published
2025-10-27
DOI
https://doi.org/10.1016/j.eij.2025.100820
Primary Topic
Sustainable Supply Chain Management
Type
article
Field-Weighted Citation Impact
0.00
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article

Advancing sustainable supply chain management − integrating blockchain technology for carbon emission reduction

Dalia H. Elkamchouchi, R. Vijayalakshmi, Nainaru Tarakaramu, S. Murali et al.
Egyptian Informatics Journal
Sustainable Supply Chain Management
article

Advancing sustainable supply chain management − integrating blockchain technology for carbon emission reduction

Dalia H. Elkamchouchi, R. Vijayalakshmi, Nainaru Tarakaramu, S. Murali, Sivajothi Ramalingam, Uma Maheswari Rayudu
article en

Abstract

This research investigates into the optimization of supply chain operations by leveraging advanced blockchain solutions, with a specific focus on the Indian carbon emission landscape for performance enhancement. In the context of a rapidly evolving global economy and increasing environmental concerns, the study explores how blockchain technology can be strategically employed to streamline supply chain processes while addressing the unique challenges posed by carbon emissions in the Indian context. By adopting a tailored perspective that considers the intricacies of the Indian carbon emission scenario, the research aims to identify practical and effective strategies for enhancing overall supply chain performance. Through a combination of theoretical analysis and empirical insights, this study contributes to the development of sustainable and region-specific supply chain practices, providing valuable guidance for businesses navigating the intersection of advanced blockchain solutions, carbon emissions, and operational optimization in the Indian market. The R-squared value, a measure of the goodness-of-fit for the regression model, is found to be approximately 0.9841. This high R-squared value indicates that the model, which predicted carbon emissions, effectively captures the variability in the observed data.

Egyptian Informatics JournalVol. 32
Princess Nourah bint Abdulrahman University (SA), Lakshmibai National Institute of Physical Education (IN), Sri Venkateswara University (IN), Saveetha University (IN), Koneru Lakshmaiah Education Foundation (IN)
Openalex Percentile: Top 55%
Sustainable Supply Chain Management
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Advancing sustainable supply chain management − integrating blockchain technology for carbon emission reduction — Dalia H. Elkamchouchi, R. Vijayalakshmi, et al. · Egyptian Informatics Journal (2025) | TGRS Research Map | TGRS