Artificial Intelligence &amp; Agile Innovation: Case of Moroccan Logistics Companies

Bouanba, Nouhayla; Barakat, Ouafa; Bendou, Abdelaziz

doi:10.1016/j.procs.2022.07.059

Cited by 11 publications

(10 citation statements)

References 18 publications

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“…In addition, aligning AI leadership initiatives with Morocco's unique cultural and socioeconomic context is a recurring topic, emphasizing the necessity for a tailored approach to AI integration. The literature provides a foundational understanding of the benefits and drawbacks of switching Moroccan firms to AI-driven leadership and advocates for an intelligent, informed, and ethical approach to implementation [8]. The evolution of AI-Powered Leadership in Moroccan Organizations can be substantially accelerated by merging large language models (LLMs) adapted to distinct leadership needs.…”

Section: Findings Of the Study Ai-powered Leadership In Moroccan Orga...mentioning

confidence: 99%

“…Data-driven decision-making can significantly improve the quality of strategic decisions by evaluating enormous amounts of data and discovering valuable trends, patterns, and insights that human leaders may not recognize [7]. Predictive Analytics can anticipate upcoming patterns and situations, empowering leaders to prepare and devise strategies accordingly [8]. Performance Optimization, which analyzes operational data, can provide significant insights and ideas for improving processes and strategies [2].…”

Section: Introductionmentioning

confidence: 99%

“…In this period of change, it is vital to carefully examine how AI is disrupting traditional leadership paradigms, improving decision-making abilities, and boosting innovation in Moroccan organizations. The significance of AI in leadership extends beyond data processing and algorithmic performance; it requires a careful assessment of how AI may effectively merge with human intellect to produce a new type of leadership characterized by flexibility, inventiveness, and technological knowledge [8]. Research on AI leadership in Moroccan organizations is limited in comparison to the literature accessible on the subject, indicating the need for further empirical investigations and theoretical breakthroughs in this area [22].…”

Section: Introductionmentioning

confidence: 99%

“…In Morocco's unique environment, characterized by the convergence of economic, social, and cultural aspects, Strategic Analytics emerges as a vital tool for leaders to overcome hurdles and capitalize on opportunities. It enables a deeper understanding of workplace trends, employer behavior, and operational efficiencies, significantly increasing leadership effectiveness and strategic decision-making [8]. Nevertheless, Leaders and policymakers within Moroccan organizations need more awareness when effectively utilizing AI in leadership contexts [34].…”

Section: Introductionmentioning

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: Findings Of the Study Ai-powered Leadership In Moroccan Orga...mentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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

2024

IJFMR

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“…According to Bouanba, Barakat, and Bendou [18], in a study conducted on Moroccan logistics companies, 80% of the sample of companies do not use Artificial Intelligence strategies to improve supply chain performance. One of the causes for this high percentage is the issue with "budgeting," as not all companies are willing to make a significant investment in AI due to the belief that there will be no return on their investment.…”

Section: Challenge 1-lack Of Clarity In Return On Investmentmentioning

confidence: 99%

Artificial Intelligence and Industry 4.0? Validation of Challenges Considering the Context of an Emerging Economy Country Using Cronbach’s Alpha and the Lawshe Method

Moreira,

Fernandes,

Avila

et al. 2023

Eng

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Background: Artificial Intelligence has been an area of great interest and investment in the industrial sector, offering numerous possibilities to enhance efficiency and accuracy in production processes. In this regard, this study aimed to identify the adoption challenges of Artificial Intelligence and determine which of these challenges apply to the industrial context of an emerging economy, considering the aspects of Industry 4.0. Methods: To achieve this objective, a literature review was conducted, and a survey was carried out among professionals in the industrial field operating within the Brazilian context. The collected data were analyzed using a quantitative approach through Cronbach’s alpha and the Lawshe method. Results: The results indicate that to enhance the adoption of Artificial Intelligence in the industrial context of an emerging economy, taking into account the needs of Industry 4.0, it is important to prioritize overcoming challenges such as “Lack of clarity in return on investment,” “Organizational culture,” “Acceptance of AI by workers,” “Quantity and quality of data,” and “Data protection”. Conclusions: Therefore, based on the achieved results, it can be concluded that they contribute to the development of strategies and practical actions aimed at successfully driving the adoption of Artificial Intelligence in the industrial sector of developing countries, aligning with the principles and needs of Industry 4.0.

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Artificial Intelligence and Supply Chain Management: Implications for the Smart Cities of Tomorrow

Hebaz,

Mkik,

Salah

et al. 2024

Lecture Notes in Networks and Systems

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Artificial Intelligence & Agile Innovation: Case of Moroccan Logistics Companies

Cited by 11 publications

References 18 publications

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

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

Artificial Intelligence and Industry 4.0? Validation of Challenges Considering the Context of an Emerging Economy Country Using Cronbach’s Alpha and the Lawshe Method

Artificial Intelligence and Supply Chain Management: Implications for the Smart Cities of Tomorrow

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