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 Baheti, Santosh Satyanaraya; Verma, Dippi; Joshi, Aishwarya Satish; Anuradha, R. Title A name given to the resource Understanding the transitioning of artificial intelligence in human resource management: A scientometric performance analysis 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 Strengthening Human Relations in Organizations With AI;pp.187-221 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.4018/979-8-3693-6507-6.ch008" target="_blank" rel="noreferrer noopener">https://doi.org/10.4018/979-8-3693-6507-6.ch008</a> <br /><br /><a href="https://www.scopus.com/pages/publications/105004334603?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105004334603?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 Baheti S.S., Christ University, India; Verma D., Christ University, India; Joshi A.S., India; Anuradha R., Christ University, India Description An account of the resource The role of AI is crucial in the recruitment and selection process, training and development, compensation and performance appraisal process, and data-driven decision-making to strengthen the human resource information system. With the rapidly changing business environment, organizations are moving from traditional HRM practices to modern HRM practices like people analytics and HR analytics with the help of artificial intelligence. The aim of this study is to conduct a bibliometric review of scientific literature, aiming to identify and analyze critical topics, authors, sources, highly cited articles, countries involved, and the intellectual and conceptual structure within the field. The second part of the study has explored dominant themes, prominent authors, influential research articles, dominant countries, and thematic analysis to define the domain of AI and HRM. 2025 by IGI Global Scientific Publishing. Publisher An entity responsible for making the resource available IGI Global Relation A related resource ISBN: 979-836936509-0; 979-836936507-6; 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