Bibliometric Insights into the Nexus of Digital HR, Innovation, and Sustainability: Toward a Smart Workforce

Title

Bibliometric Insights into the Nexus of Digital HR, Innovation, and Sustainability: Toward a Smart Workforce

Creator

Rajan, Shivakami; Niranjan, L.R.

Description

HR professionals use AI, blockchain, cloud computing, big data analytics, and Metaverse to optimize the workforce as technology advances. These technologies boost corporate value, employee performance, and smart workforce development. Metaverse improves virtual reality training, 3D simulations, and wearable self-tracking technologies. Cloud computing simplifies simulations and collaborative mixed reality for employees. AI tools usage increases an organization's staff efficiency. Smart workforce tactics and workplace technologies improve success and human experience management, especially in virtual, remote, and collaborative work contexts. Many companies have failed to integrate Metaverse in the workplace despite advances in digital technologies. A Biblioshiny analysis- based systematic assessment of human capital management automation systems addresses this gap. This study examines smart workforce requirements and future automation trends at the organizational, managerial, and individual levels. Additionally, this study allows for the creation of a self-sustaining virtual HR system. 2025 Scrivener Publishing LLC. All rights reserved.

Source

Bibliometric Analyses in Data-Driven Decision-Making;pp.583-613

Date

01-01-2025

Publisher

wiley

Subject

Artificial intelligence; Biblioshiny; Blockchain; Digitalization and innovation; Metaverse; Smart workforce; Sustainability

Coverage

Rajan S., Faculty of Management and Commerce, M.S. Ramaiah University of Applied Sciences, Bengaluru, Karnataka, India; Niranjan L.R., School of Business and Management, Christ University, Bannerghatta Road Campus, Bengaluru, Karnataka, India

Rights

Restricted Access; Hardcopy may be available in the library

Relation

ISBN: 978-139430258-1; 978-139430252-9;

Format

online

Language

English

Type

Book chapter

Identifier

https://doi.org/10.1002/9781394302581.ch23

https://www.scopus.com/pages/publications/105019633999?origin=resultslist