Framework of artificial intelligence on human resources management: Leveraging the transformation and performance in Moroccan companies

Abstract

Artificial intelligence is a transformative force in HRM that can help Moroccan companies achieve a new frontier of operational efficiency, data-driven decision-making and employee experience. However, its potential is currently held back by limitations on the resources to be invested and, potentially, by cultural realities.

The importance of our study lies in the need to use theoretical frameworks such as TAM, Diffusion of Innovations Theory, RBV, to describe the drivers and inhibitors of AI integration in HRM in Morocco. If this is possible, it will pave the way for Moroccan organizations to take full advantage of AI in their HR function, in recruitment, training, performance.

The study provides a framework for Moroccan companies considering the adoption of AI in HR departments. The in-depth sheds light on the main drivers and barriers to AI, which include recommendations for mitigating obstacles, such as resistance to adoption and inadequate skills.

For example, the study recommends training to equip HR professionals with the necessary skills and establish the digital infrastructure needed to effectively support AI systems. The article emphasizes that AI must be used responsibly, including the development of guidelines to prevent algorithmic bias and protect private data.

This article adopts an integrative review approach, combining insights from narrative, conceptual, and systematic reviews to build a structured theoretical framework on AI adoption in HRM within the Moroccan context.

Classification JEL: O15.

Paper type: Theoretical Research.