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 Articles Article Faculty Publications -Articles 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 Artificial intelligence talent acquisition in HEIs recruitments Subject The topic of the resource Artificial intelligence; Higher educational institution and platforms; Recruitment; Talent acquisition Description An account of the resource Purpose: The current research study aims to examine the application feasibility and impact of artificial intelligence (AI) among higher educational institutions (HEIs) in talent acquisitions (TA). Design/methodology/approach: A systematic sampling method was adopted to collect the responses from the 385 staff working across the various levels of management in HEIs in metropolitan cities in India. JAMOVI &amp; SmartPLS 4 were applied to validate the hypothesis by performing the simple percentage analysis and structural equation modelling. The demographic and construct variables considered were adoption, actual usage, perceived usefulness, perceived ease of use and talent management. Findings: The key indicators of perceived usefulness are productivity, perceived ease of use, adaptability, candidate experience with the adoption of AI, frequency in decision-making in its actual usage and career path of development in the HEIs. These are the most influential items impacting the application of AI in TA. Originality/value: AI has the potential to revolutionize TA in HEIs in the form of enhanced efficiency, improved candidate experience, more objective hiring decisions, talent analytics and risk automation. However, they facilitate resume screening, candidate sourcing, applicant tracking, interviewing and predictive analytics for attrition. 2024, Emerald Publishing Limited. Creator An entity primarily responsible for making the resource R V.; R H.; E S.; V D. Source A related resource from which the described resource is derived International Journal of Information and Learning Technology, Vol-41, No. 3, pp. 230-243. Publisher An entity responsible for making the resource available Emerald Publishing Date A point or period of time associated with an event in the lifecycle of the resource 2024-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1108/IJILT-09-2023-0176" target="_blank" rel="noreferrer noopener">https://doi.org/10.1108/IJILT-09-2023-0176</a> <br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85192928463&amp;doi=10.1108%2FIJILT-09-2023-0176&amp;partnerID=40&amp;md5=a548d29c8527f1feb670239c74a77e2d" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85192928463&amp;doi=10.1108%2fIJILT-09-2023-0176&amp;partnerID=40&amp;md5=a548d29c8527f1feb670239c74a77e2d</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 20564880 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Article Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant R V., School of Commerce, Mount Carmel College, Autonomous, Bangalore, India; R H., School of Business and Management, CHRIST (Deemed to be University) Yeshwanthpur Campus, Bangalore, India; E S., Department of Commerce, CHRIST (Deemed to be University) Yeshwanthpur Campus, Bangalore, India; V D., School of Business and Management, CHRIST (Deemed to be University) Yeshwanthpur Campus, Bangalore, India