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 Sharma, Himanshi; Singhal, Agrim; Ali, Amjad; Ghai, Sachin; Singh, Muskan; Saluja, Kehkashan Title A name given to the resource Big Data and Artificial Intelligence for Strategic Human Resource Management 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 Transforming Organizational Culture Through Meta-Driven Human Resources;pp.405-426 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.4018/979-8-3373-0720-6.ch014" target="_blank" rel="noreferrer noopener">https://doi.org/10.4018/979-8-3373-0720-6.ch014</a> <br /><br /><a href="https://www.scopus.com/pages/publications/105013913263?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105013913263?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 Sharma H., Graphic Era University, India; Singhal A., Graphic Era University, India; Ali A., Graphic Era University, India; Ghai S., Graphic Era University, India; Singh M., Graphic Era University, India; Saluja K., Christ University, Bangalore, India Description An account of the resource In this modern world all the organizations are adopting the new technology and making the use of modern technologies to match the HR procedures with the strategic Big Data and AI enhance HR decision-making by providing insights into workforce demographics, performance patterns, and employee behavior. Together, they automate tasks like hiring, training, and performance reviews, while addressing skill gaps, talent acquisition, and retention with unmatched precision. The study examines several important applications, including predictive analysis for workforce planning, AI driven recruitment system and real-time employee sentiment analysis. Additionally, it looks at data protection issues, ethical issues and the necessity of HR personnel being skilled in order to use these technologies effectively. The study demonstrates how Big Data and AI have the ability to change SHRM from a reactive role into a proactive, value-creating discipline by examining case-studies and new trends. 2025 by IGI Global Scientific Publishing. All rights reserved. Publisher An entity responsible for making the resource available IGI Global Relation A related resource ISBN: 979-833730722-0; 979-833730720-6; 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