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 Khanna, Akanksha; Thomas, Mary Rani Title A name given to the resource OCCUPATIONAL AND DIVERSITY INTELLIGENCE: UNLOCKING TALENT IN THE DIGITAL ERA Date A point or period of time associated with an event in the lifecycle of the resource 01-01-2026 Source A related resource from which the described resource is derived Artificial Intelligence for Digital Talent Acquisition and Management: Analytical Approaches, Practices, Models for Digitalization;pp.1-21 Identifier An unambiguous reference to the resource within a given context <a href="https://www.scopus.com/pages/publications/105034475589?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105034475589?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 Khanna A., Department of Management, Symbiosis International University, Dubai, United Arab Emirates; Thomas M.R., School of Commerce, Finance and Accountancy, Central Campus, CHRIST University, Karnataka, India Description An account of the resource innovations, and their implications for talent management and organizational success. Design/methodology/approach: This chapter guides the shaping of future research agendas by converting qualitative analysis into empirical and quantitative analysis, laying the foundation for integrating the concepts of OQ and DQ within the proposed conceptual framework to retain talent in the digital era. The current chapter follows a narrative review approach to synthesize the existing literature. Findings: The current chapter highlights the role of OQ and DQ in the digital era, as well as their key elements, which will empower various stakeholders with actionable insights. It offers valuable insights as a benchmark for strategic decision-making for meaningful work that would result in effective organizational development (ODV). Introduction: In todays workplace culture, organizations, and HR professionals have a strong case for embracing diversity and inclusion (D&amp;I) to enhance talent management. Occupational intelligence (OQ), when linked with diversity intelligence (DQ), can pave the way for effective individual development and organizational success. When integrated with the expanding use of artificial intelligence (AI), the synergy between these two carries the potential for creating future-ready workplaces. Purpose: Several studies highlight the role of emotional, social, cultural, and workplace intelligence and their impact on occupational success. There has been a conspicuous absence of studies that unravel the evolution of OQ and the future scope of integration with DQ in the digitalized world, which needs attention. Scope: The study would deepen the understanding of the evolving landscape of OQ and DQ, as well as industry trends and Individual chapters 2026 The authors. Subject The topic of the resource attitudes; neurodiversity; Occupational intelligence; diversity intelligence; performance management; talent management; knowledge; skills Publisher An entity responsible for making the resource available Emerald Group Publishing Ltd. Relation A related resource ISBN: 978-183708884-3; 978-183708886-7; 978-183708885-0; 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