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Strategic framework for ai-driven human resource management architecture

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Saumya Dash *

Atlassian Inc, GTM Sales, Marketing and Finance, San Francisco, CA, USA.

Review Article
 

World Journal of Advanced Research and Reviews, 2024, 24(03), 202–213
Article DOI: 10.30574/wjarr.2024.24.3.3672
DOI url: https://doi.org/10.30574/wjarr.2024.24.3.3672

Received on 22 October 2024; revised on 30 November 2024; accepted on 02 December 2024

Academic literature is currently lacking on the topic of how to acquire, deploy, integrate, and reconfigure AI technologies to achieve HRM goals. This void is filled largely from the viewpoint of technology-driven human resource management. This research fills that knowledge vacuum by proposing a new standard for the architectural framework of human resource management strategies that make use of artificial intelligence. This paper presents an all-encompassing operational architectural framework for AI-powered HRM, drawing on theory of management and AI integration literature. It addresses the following areas: corporate setting, HRM(AI) architecture's inner workings, its connection to HRM domain-specific outcomes, organizational level conclusions, and subsequent performance. Additional exploration into the suggested AI framework for linked strategic architecture might be facilitated by a plethora of viable research ideas. 

AI-augmented HRM; HRM; Human Resource Management; architectural framework; strategic framework

https://wjarr.com/node/16581

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Saumya Dash. Strategic framework for ai-driven human resource management architecture. World Journal of Advanced Research and Reviews, 2024, 24(03), 202–213. Article DOI: https://doi.org/10.30574/wjarr.2024.24.3.3672

Copyright © 2024 Author(s) retain the copyright of this article. This article is published under the terms of the Creative Commons Attribution Liscense 4.0

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