Authors:
T. Anand, P. Paramasivan, Paul Kostek, Selçuk Bulat, G. Arun

Addresses:
Department of Aeronautical Engineering, Sathyabama Institute of Science and Technology, Chennai, Tamil Nadu, India. Department of Research and Development, Thangavelu Engineering College, Chennai, Tamil Nadu, India. Department of Systems Engineering, Air Direct Solutions LLC, Seattle, Washington, United States of America. Department of Nanoscience and Nanoengineering, Institute of Natural Sciences, Sakarya University, Serdivan, Sakarya, Turkey. Department of Electrical and Electronics Engineering, Dhaanish Ahmed College of Engineering, Chennai, Tamil Nadu, India.

Abstract:

The contemporary industrial environment is under the twin pressure of blistering digitalisation and pressing environment-related requirements. This research paper examines how algorithmic management and green disruptive technologies can serve as significant drivers of transformation and resilience in the green digital supply chain. Drawing on the Stimulus-Organism-Response paradigm and the Resource Orchestration Theory, the paper will explore how digital intelligence can support sustainability transitions. The research uses primary data from 261 cases, focusing on professionals in both the manufacturing and logistics industries. The analysis was carried out using structural equation modelling and high-quality computational tools to map the serially mediating effects of green digital absorptive capacity. It has been determined that algorithmic management is a key driver of the introduction of green technology, thereby enhancing organisations' resilience. The findings highlight that the complementarity between automated decision-making and environmentally friendly innovation is key to overcoming modern market shocks. This study offers a robust model for managers to align their digital strategies with environmental objectives to achieve long-term competitive advantage in a dynamic global economy.

Keywords: Algorithmic Management; Green Disruptive Technology; Supply Chain Resilience; Digital Transformation; Resource Orchestration; Digital Intelligence; Sustainability Transitions.

Received on: 28/02/2025, Revised on: 05/05/2025, Accepted on: 26/07/2025, Published on: 03/03/2026

DOI: 10.69888/FTSESS.2026.000692

FMDB Transactions on Sustainable Environmental Sciences, 2026 Vol. 3 No. 1, Pages: 33-42

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