Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Faculty Publications Book Chapter Faculty Publications- Book Chapter Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Creator An entity primarily responsible for making the resource Irfan, Mohammad; Verma, Jatin; Parameswaran, S.; Sheikh, Irfan Ahmed Title A name given to the resource Integrating Emerging Technologies: Enhancing Supply Chain Optimization Through AI, IoT, and Blockchain Date A point or period of time associated with an event in the lifecycle of the resource 01-01-2025 Source A related resource from which the described resource is derived Enhancing Social Sustainability in Manufacturing Supply Chains;pp.199-220 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.4018/979-8-3693-9740-4.ch007" target="_blank" rel="noreferrer noopener">https://doi.org/10.4018/979-8-3693-9740-4.ch007</a> <br /><br /><a href="https://www.scopus.com/pages/publications/86000710660?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/86000710660?origin=resultslist</a> Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Irfan M., Christ University, India; Verma J., Christ University, India; Parameswaran S., Christ University, India; Sheikh I.A., Ethiopian Civil Service University, Ethiopia Description An account of the resource The rapid rise of technologies like AI, IoT, and blockchain is transforming supply chain management by boosting efficiency, transparency, and resilience. This paper examines how these technologies optimize supply chains, focusing on predictive analytics, real- time monitoring, and secure data exchange. AI excels in automation and decision- making, IoT enables real- time data gathering, and blockchain ensures trust and transparency. Case studies from Amazon, Maersk, Walmart, and Pfizer illustrate improvements in efficiency, risk reduction, and cost savings. Additionally, challenges like high costs, data privacy, and lack of standardization are discussed, along with future trends in edge computing, quantum computing, and digital twins. The study highlights AI, IoT, and blockchain as essential to building smarter, adaptable supply chains capable of thriving in todays global economy. 2025, IGI Global Scientific Publishing. Publisher An entity responsible for making the resource available IGI Global Relation A related resource ISBN: 979-836939742-8; 979-836939740-4; Language A language of the resource English Type The nature or genre of the resource Book chapter Rights Information about rights held in and over the resource Restricted Access; Hardcopy may be available in the library Format The file format, physical medium, or dimensions of the resource online