Digital solutions and Moroccan companies during the Covid-19 pandemic

Othman, Boulitama; Rahli, Driss; Haoucha, Malika

doi:10.1109/logistiqua55056.2022.9938069

Cited by 1 publication

(2 citation statements)

References 26 publications

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“…However, it also highlights crucial areas for improvement, such as increased knowledge among leaders, practical implementation issues, and ethical concerns like data protection and algorithmic bias. When tackling these challenges to improve data security and transparency, it is critical to consider Morocco's unique cultural, economic, and organizational surroundings [45]. In the future, leadership models that promote cooperation and intergenerational approaches will be in high demand as they enable inclusion and long-term growth.…”

Section: Discussion and Implications Of The Integrative Literature Re...mentioning

confidence: 99%

“…The utilization of an Integrative Literature Review methodology is exceptionally well-suited for investigating AI-driven leadership in Moroccan organizations owing to its systematic and allencompassing approach to amalgamating existing literature. Conducting a literature review particular to a problem provides an excellent opportunity to discover its contributing factors and follow its development [45]. The ILR method enables the integration of insights from technology, business, society, politics, and economics, which is especially useful for researching AI-powered leadership due to its innovative nature [46].…”

Section: Research Methods and Designmentioning

confidence: 99%

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

2024

IJFMR

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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.

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Section: Discussion and Implications Of The Integrative Literature Re...mentioning

confidence: 99%

Section: Research Methods and Designmentioning

confidence: 99%