OCCUPATIONAL AND DIVERSITY INTELLIGENCE: UNLOCKING TALENT IN THE DIGITAL ERA

Title

OCCUPATIONAL AND DIVERSITY INTELLIGENCE: UNLOCKING TALENT IN THE DIGITAL ERA

Creator

Khanna, Akanksha; Thomas, Mary Rani

Description

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&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.

Source

Artificial Intelligence for Digital Talent Acquisition and Management: Analytical Approaches, Practices, Models for Digitalization;pp.1-21

Date

01-01-2026

Publisher

Emerald Group Publishing Ltd.

Subject

attitudes; neurodiversity; Occupational intelligence; diversity intelligence; performance management; talent management; knowledge; skills

Coverage

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

Rights

Restricted Access; Hardcopy may be available in the library

Relation

ISBN: 978-183708884-3; 978-183708886-7; 978-183708885-0;

Format

online

Language

English

Type

Book chapter

Identifier

https://www.scopus.com/pages/publications/105034475589?origin=resultslist