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International Journal of Science, Strategic Management and Technology

An International, Peer-Reviewed, Open Access Scholarly Journal Indexed in recognized academic databases · DOI via Crossref The journal adheres to established scholarly publishing, peer-review, and research ethics guidelines set by the UGC

ISSN: 3108-1762 (Online)
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HARNESSING TECHNOLOGY FOR SUSTAINABILITY: THE FUTURE OF GREEN SUPPLY CHAIN MANAGEMENT

AUTHORS:
MD. Maaz Akhtar
Mentor
Professor Sandeep Anand
Affiliation
CC BY 4.0 License:
This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Abstract

This study examines the role of Artificial Intelligence (AI), Internet of Things (IoT), and Blockchain in enhancing sustainability within Green Supply Chain Management (GSCM). The main objective is to analyse how these technologies improve efficiency, reduce environmental impact, and support better decision-making in supply chain operations.


The research is based on both primary and secondary data. Primary data was collected through a structured questionnaire from 120 respondents, while secondary data was gathered from research papers, journals, and online sources.


The findings indicate that all three technologies have a positive impact on sustainability. Among them, AI is perceived as the most effective due to its ability to improve forecasting and optimise operations. IoT helps in real-time monitoring and resource management, while Blockchain enhances transparency and trust within the supply chain.


Statistical analysis, including descriptive statistics and t-test, confirms that the impact of these technologies is significantly higher than neutral expectations. However, challenges such as high implementation costs, technical complexity, and resistance to change still exist.


The study concludes that the integration of AI, IoT, and Blockchain can significantly improve sustainable supply chain performance, making businesses more efficient and environmentally responsible.

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Akhtar, M. M. (2026). Harnessing Technology for Sustainability: The Future of Green Supply Chain Management. International Journal of Science, Strategic Management and Technology, 02(04). https://doi.org/10.55041/ijsmt.v2i4.192

Akhtar, MD.. "Harnessing Technology for Sustainability: The Future of Green Supply Chain Management." International Journal of Science, Strategic Management and Technology, vol. 02, no. 04, 2026, pp. . doi:https://doi.org/10.55041/ijsmt.v2i4.192.

Akhtar, MD.. "Harnessing Technology for Sustainability: The Future of Green Supply Chain Management." International Journal of Science, Strategic Management and Technology 02, no. 04 (2026). https://doi.org/https://doi.org/10.55041/ijsmt.v2i4.192.

References

  1. Ahmad et al. (2023). Application of IoT in Sustainable Supply Chain Management.

  2. Nguyen et al. (2022). An IoT-Based Framework for Sustainable Supply Chain Management.

  3. Olan et al. (2022). Artificial Intelligence in Supply Chain Management: A Comprehensive Review.

  4. Aditya et al. (2024). Integrating Blockchain, IoT, and AI in Supply Chain Management.

  5. Rajeb et al. (2021). Big Data in the Food Supply Chain: A Literature Review.

  6. Kim et al. (2023). Artificial Intelligence and IoT in Sustainable Supply Chain Management.

  7. Das et al. (2023). IoT Adoption in Supply Chain Management: A Systematic Literature Review.

  8. Mukherjee et al. (2023). AI-Driven Resilience Strategies for Supply Chain Management.

  9. Gupta et al. (2021). AI and Sustainable Supply Chain Management: A Review.

  10. Zhang et al. (2022). Blockchain Technology in Sustainable Supply Chains.

Ethics and Compliance
✓ All ethical standards met
This article has undergone plagiarism screening and double-blind peer review. Editorial policies have been followed. Authors retain copyright under CC BY-NC 4.0 license. The research complies with ethical standards and institutional guidelines.
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