Strategic framework for ai-driven human resource management architecture
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.
Institutions
- Department of Finance (AU)
Publication Details
- Journal
- Zenodo (CERN European Organization for Nuclear Research)
- Published
- 2024-12-30
- DOI
- https://doi.org/10.5281/zenodo.15165810
- Primary Topic
- AI and HR Technologies
- Type
- article
- Field-Weighted Citation Impact
- 0.00