Preprint
Article

This version is not peer-reviewed.

Investigating the Role of IoT in Improving Supply Chain Resilience, Risk Management, and Operational Efficiency

Submitted:

30 December 2025

Posted:

30 December 2025

You are already at the latest version

Abstract
This study explores the role of the Internet of Things (IoT) in enhancing supply chain resilience, risk management, and operational efficiency. Employing a qualitative research approach, data were collected through semi-structured interviews and document reviews with supply chain professionals across manufacturing, logistics, and distribution sectors. The findings reveal that IoT enables real-time monitoring of assets and processes, predictive maintenance, anomaly detection, and data-driven decision-making, which collectively improve operational performance and reduce vulnerabilities. IoT also facilitates collaboration within organizations and across supply chain partners, enhancing coordination, communication, and collective problem-solving. Additionally, IoT contributes to cost reduction, energy efficiency, and optimized resource allocation, supporting both operational and strategic objectives. The study highlights that the successful adoption of IoT requires integration with organizational processes, skilled workforce capabilities, and governance measures, including cybersecurity and data integrity practices. Overall, the research demonstrates that IoT is a transformative enabler for supply chains, promoting adaptive, resilient, and efficient operations capable of responding effectively to dynamic challenges and market demands. The insights provide practical guidance for organizations seeking to leverage IoT to achieve operational excellence, strategic advantage, and long-term sustainability.
Keywords: 
;  ;  ;  ;  ;  ;  
Copyright: This open access article is published under a Creative Commons CC BY 4.0 license, which permit the free download, distribution, and reuse, provided that the author and preprint are cited in any reuse.
Prerpints.org logo

Preprints.org is a free preprint server supported by MDPI in Basel, Switzerland.

Subscribe

Disclaimer

Terms of Use

Privacy Policy

Privacy Settings

© 2025 MDPI (Basel, Switzerland) unless otherwise stated