The Impact of IoT, Blockchain and AI Adoption on Environmental Performance and Operational Efficiency in Green Supply chain Management

Authors

  • Muhammad Awais Raza Masters in Business Administration, National University of Modern Languages Islamabad Author
  • Mashal Tariq Lecturer in Management Sciences department at National University of Modern Languages Islamabad Author
  • Maria Hina Head of the department and lecturer at the National University of Modern Languages Islamabad Author

DOI:

https://doi.org/10.63056/ACAD.004.04.1383

Keywords:

Green supply chain, innovation, Baluchistan, IoT, AI, Environmental performance

Abstract

Integration of information technology in the industry period is crucial to the advancement of Green Supply Chain Management as it enhances the effectiveness, efficiency, and sustainability of the cyber- GSCM practices. However, in regions such as Baluchistan, the digital transformation is stymied by the lack of good infrastructures, slow technology diffusion, and fundamental ecosystem predicaments that inhibit the broader application of green supply. Thus, the study focuses on examining the impacts of three particular technologies, the Internet of Things, artificial intelligence, and blockchain, on the performance of GSCM in Baluchistan. A quantitative research methodology was used, and data was collected from 400 participants through questionnaires. Regression analysis showed that all three technologies improve the environmental performance of firms, but gains in the efficiency of operational activities on a day-to-day basis are achieved through IoT and blockchain only. The impact of AI was, however, statistically insignificant. Overall, the findings underscore that for developing countries to have more sustainable supply chains, the adoption of digital tools is mandatory.

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Published

2025-12-26

How to Cite

Muhammad Awais Raza, Mashal Tariq, & Maria Hina. (2025). The Impact of IoT, Blockchain and AI Adoption on Environmental Performance and Operational Efficiency in Green Supply chain Management. ACADEMIA International Journal for Social Sciences, 4(4), 5607-5620. https://doi.org/10.63056/ACAD.004.04.1383