AI-powered Leadership in Moroccan Organizations: An Integrative Literature Review

Rachid Ejjami

doi:10.36948/ijfmr.2024.v06i03.19715

AI-powered Leadership in Moroccan Organizations: An Integrative Literature Review

Author(s)	Rachid Ejjami
Country	Morocco
Abstract	This integrative literature review (ILR) examines how we can exploit AI to enhance organizational leadership in Morocco, where there is a notable lack of awareness among leaders and IT policymakers about the revolutionary potential of AI-powered leadership. This ILR aims to address this knowledge gap by looking at the application and impact of strategic analytics and adaptive machine learning management in critical industries such as banking, healthcare, tourism, manufacturing, and logistics. These AI-driven techniques get value for their ability to alter leadership by improving Moroccan decision-makers capacities in driving competitiveness and organizational sustainability. The review thoroughly illuminates the power of AI-driven leadership, which Strategic Analytics and Adaptive Machine Learning Management trigger. The study's conceptual framework revolves around four key pillars: AI, strategic analytics, leadership, and adaptive machine learning management. This ILR employs inclusion and exclusion criteria, data extraction, data analysis and synthesis, and conceptual mapping to ensure the rigor and comprehensiveness of the research material. The findings of this ILR highlight the significance of implementing strategic analytics and adaptive machine learning management into Morocco's leadership practices. They illuminate the need to develop a strong leadership pipeline, conduct collaborative research, establish policy frameworks, safeguard data, foster innovation in management, and train the workforce. This review offers suggestions for forthcoming policies and practices, emphasizing the application of adaptive machine learning management and strategic analytics. These recommendations can significantly influence the practice of AI-powered leadership in Moroccan organizations and offer valuable insights for future research.
Keywords	Adaptive machine learning management, AI-powered leadership, leadership, Morocco, Strategic analytics
Published In	Volume 6, Issue 3, May-June 2024
Published On	2024-05-07
Cite This	AI-powered Leadership in Moroccan Organizations: An Integrative Literature Review - Rachid Ejjami - IJFMR Volume 6, Issue 3, May-June 2024. DOI 10.36948/ijfmr.2024.v06i03.19715
DOI	https://doi.org/10.36948/ijfmr.2024.v06i03.19715
Short DOI	https://doi.org/gttbdj

View / Download PDF File

E-ISSN 2582-2160

doi

CrossRef DOI is assigned to each research paper published in our journal.

IJFMR DOI prefix is
10.36948/ijfmr

Downloads

Research Paper Format Copyright Permission Form and Undertaking Form Cover Page Vol 6 Isu 4 Cover Page Vol 6 Isu 3 Cover Page Vol 6 Isu 2

All research papers published on this website are licensed under Creative Commons Attribution-ShareAlike 4.0 International License, and all rights belong to their respective authors/researchers.

CC-BY-SA

About IJFMR Fees & Payment Current Issue Publication Archive	Submit Research Paper Track Submission Status Publication Guidelines Publication Ethics Peer Review & Plagiarism	Join as a Reviewer Editors & Reviewers Reviewer Referral Program Get Reviewer Membership Certi.	Website/Journal Policies Usage Policy Content Policies Privacy Policy

Contact Us		+91-9898-5948-55	editor@ijfmr.com

International Journal For Multidisciplinary Research

A Widely Indexed Open Access Peer Reviewed Multidisciplinary Bi-monthly Scholarly International Journal

AI-powered Leadership in Moroccan Organizations: An Integrative Literature Review

Share this