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

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.


Introduction
In the heart of North Africa, Morocco is on the verge of a digital revolution, which will shift its leadership paradigms to a new horizon through the strategic use of AI leadership by industries like banking, healthcare, tourism, manufacturing, and logistics [1].This significant change is crucial to Morocco's broader objective to establish itself as a prominent technological center in the Africa-Europe-Mediterranean region.Although the country has already established itself as a pioneer in digital competitiveness, the path to a holistic AI-driven leadership model is fraught with unique opportunities and challenging problems [2].However, Moroccan leaders and IT policymakers need a deeper understanding of the AI mechanisms currently being used or expected to be used in leadership positions.Implementing adaptive machine learning management and strategic analytics influences the promotion of AI-driven leadership in Moroccan organizations [3].In leadership, AI is more than just technological advancement; it represents a shift in organizational and strategic mindsets.Moroccan leaders and policymakers must address the AI leadership knowledge gap as Moroccan businesses adopt AI for strategic, agile leadership and redesign their operations in a dynamic digital context [4].The application of AI by Moroccan enterprises is seen not only as just a collection of algorithms and data processes but also as a vital driver for innovative leadership and decision-making [5].Morocco's organizational leaders can seize the opportunity to leverage AI technologies like Strategic Analytics and Adaptive Machine Learning Management to improve decision-making, optimize operations, and build an innovative and agile culture [6].Strategic Analytics harnesses the power of data-driven decisionmaking, predictive analytics, and performance optimization.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].Adaptive Machine Learning Management emphasizes continual learning and improvement, personalization, automation of monotonous processes, and the ability to respond in real-time.AI systems that use machine learning may persistently improve their recommendations and conclusions by constantly learning from fresh data and experiences [9].Artificial intelligence can personalize management strategies and decisions for individuals or teams, increasing their performance [10].Artificial intelligence can handle mundane tasks, allowing human leaders to focus on more complex and strategic issues [11].Machine learning algorithms can adapt and respond to real-time changes, providing dynamic leadership assistance as situations unfold [12].Despite the various benefits, concerns about data privacy, ethical AI methods, and the influence on jobs and societal structures present considerable hurdles [13].Leadership often values hierarchical structures, where decisions rely on expertise and intuition, and leaders play a significant role in guiding and motivating their teams [14].This approach emphasizes good communication, strong interpersonal skills, and the capacity to motivate and lead teams through personal involvement and tried-and-true management techniques.Unlike the conventional model, AIpowered leadership improves foresight and strategic planning through predictive analytics and datadriven decision-making.It also rapidly adapts and responds to changing scenarios using machine learning insights and real-time information [15].Additionally, AI integration in leadership improves the ability to address complex, large-scale operational difficulties by giving innovative solutions that exceed human cognitive limits.The rapid expansion of information technology has compelled Moroccan organizations to embrace AIdriven leadership in the current digital business landscape to align human intelligence with machine intelligence [2].Corporations can harness the power of AI leadership to enhance their effectiveness, strengthen their competitive position, and drive their long-term economic growth.However, Moroccan organizational leaders should address the AI leadership knowledge gap to get the required AI insights and methodologies [16].They also have to find a way to advance technology in a balanced manner, considering ethical concerns and societal ramifications.Researchers have emphasized the need for Strategic Analytics and Adaptive Machine Learning Management to foster effective collaborations between humans and machines regarding AI leadership adoption by businesses [17].Policymakers in Moroccan organizations must allocate resources towards acquiring appropriate AI technologies and the training of leaders in order to address the knowledge gap in AI leadership.It would be advantageous for them to undertake trial initiatives and build robust data management and ethical rules, continuously monitoring and altering their strategy depending on feedback and performance outcomes [18].Indeed, exploring the potential of Strategic Analytics and Adaptive Machine Learning Management to enhance leadership capabilities will significantly influence how Moroccan organizational leaders integrate AI.Addressing the knowledge gap among Moroccan policymakers and leaders would help them comprehend how AI leadership can drive business owners to swiftly adapt and invest in digital ecosystem transformation [19].

Background
The emergence of AI-powered leadership is a significant technological and organizational achievement for Morocco, strategically located at the crossroads of Africa, Europe, and the Middle East.Morocco's dedication to digital transformation as part of its goal of becoming a key player in international connections has driven enterprises to incorporate AI into their leadership strategies [4].Although Morocco has made significant progress in launching forward-thinking projects and investing considerably in technology, effectively using AI in leadership and decision-making across various industries remains challenging [20].Morocco's Organizational leaders and policymakers should gain the competence to effectively use AI technologies in leadership, particularly in Strategic Analytics and Adaptive Machine Learning Management [3].Using AI in leadership requires more than just technology adoption; it also requires strategic expertise and execution within Morocco's organizational context [21].As Morocco embraces the digital revolution, it is critical to see AI as more than just a technology tool but an essential component of agile and creative leadership [7].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].Despite the potential to revolutionize organizational practices, there are still worries among organizational leaders and policymakers about the capabilities and impact of AI leadership.These concerns highlight the need to understand better AI's impact on leadership and management, incarnated in Strategic Analytics and Adaptive Machine Learning Management [6].Indeed, the reluctance to embrace AI in leadership positions within Moroccan organizations may jeopardize the country's ambitions to become a digital realm, particularly in critical economic sectors such as banking and healthcare.In the organizational landscape, Strategic Analytics and Adaptive Machine Learning Management are shaping a new leadership approach that allows organizational leaders to enhance foresight and strategic planning while quickly adapting and responding to changing scenarios using real-time information and machine learning insights [23].Strategic Analytics provides leaders with insights based on data, allowing for better decision-making and the ability to predict outcomes [9].This approach fosters innovation, efficient resource allocation, and effective risk management, transforming leadership into a dynamic and data-driven practice capable of adapting swiftly to workplace changes and emerging trends.Adaptive Machine Learning Management enables leaders to react quickly and efficiently to workplace changes, employee requirements, and operational issues by updating machine-learning algorithms based on data trends [24].This approach promotes a culture of ongoing learning and adaptation, ensuring that organizational strategies and processes align with technology and workplace developments.As a result, Organizational leaders in Morocco can develop a culture of innovation, operational efficiency, and increased competitiveness by making more informed and agile decisions, effectively reacting to the ever-changing nature of today's business environment [10].There needs to be more literature on how AI may transform traditional leadership in Moroccan firms using strategic analytics and adaptive machine learning management [4].There is a need to enlighten and guide Moroccan leaders and policymakers toward strategic AI leadership adoption, emphasizing ethical concerns, workforce transformation, and harmonious human-AI collaboration [18].The primary goal should be to deliver accurate insights and recommendations to propel Moroccan enterprises toward AI-powered leadership.The problem is a need for more awareness among Moroccan organizational leaders and policymakers about using Strategic Analytics and Adaptive Machine Learning Management in leadership scenarios [25].Adopting AI leadership in Moroccan enterprises capitalizes on their strategic geographical position at the crossroads of Africa, Europe, and the Middle East, allowing them to gain a competitive advantage in these diverse regions [26].AI-powered leadership in Moroccan organizations provides precise datadriven insights, allowing for tailored strategies that address each organization's unique demands and preferences.Incorporating technology streamlines operations and decision-making, allowing executives to adapt to changing conditions and promote innovation, strengthening Moroccan firms' position as industry leaders [2].This ILR aims to inform Moroccan organizational leaders and policymakers about the beneficial effects of AI-driven leadership, specifically Strategic Analytics and Adaptive Machine Learning Management, in several Moroccan organizations.An integrative literature review synthesizes knowledge and applicability of results from relevant studies to determine the current knowledge on a specific topic and make recommendations for future research [27].The significance of this study arises from various reasons, the most crucial being the lack of in-depth exploration of its subject matter in existing literature [28].This ILR emphasizes the critical role of advanced technology in shaping contemporary leadership practices in Moroccan organizations.Morocco's strategic location at the crossroads of Africa, Europe, and the Middle East presents unique opportunities and challenges that AI-driven leadership can successfully address [16].This research examines numerous industry sectors and provides extensive insights into how AI might improve decision-making, operational efficiency, and workplace responsiveness.It also outlines a strategy to implement AI tools like Strategic Analytics and Adaptive Machine Learning Management for Moroccan leaders and policymakers.Hence, they will be able to maintain their regional competitiveness while also promoting long-term growth and innovation [29].This review is thus a helpful reference for understanding and leveraging AI's revolutionary potential in Moroccan leadership contexts.To address the AI-powered leadership issues that Moroccan organizations face, this ILR will be structured and conducted to answer the following central research question: What specific strategies and actions can be proposed to leverage Strategic Analytics and Adaptive Machine Learning Management for AI-powered leadership to innovate management, develop workforce, and enable Moroccan organizations keep up with the digital transformation landscape while remaining ethical?Theoretical/Conceptual Framework This integrative literature review, which delves into the application of AI in leadership within Moroccan enterprises, is essentially founded on two fundamental concepts: Leadership and AI incarnated in Strategic Analytics and Adaptive Machine Learning.The fusion of leadership and artificial intelligence, comprising strategic analytics and adaptive machine learning management, synergistically contributes to the advancement of AI leadership (see Figure 1).AI has a significant impact on leadership paradigms, particularly in increasing decision-making abilities and operational efficiencies among Moroccan organizational leaders [30].It has a significant impact on providing fresh opportunities for them to improve their leadership methods while considering Morocco's unique socioeconomic and cultural setting [22].Within this framework, leadership is transforming significantly, moving away from traditional models to embrace more agile and adaptable strategies.This transition requires leaders in Morocco to understand the fundamental aspects of modern technological advancements and actively integrate these strategies into their leadership approaches [20].An evolving AI-powered leadership model places significant emphasis on integrating human insight and analytical foresight, cultivating an atmosphere that promotes collaborative endeavors that culminate in improved strategic planning and decision-making [31].AI is at the core of this framework, which serves as a powerful catalyst for change in leadership paradigms.The wide range of functionalities offered by AI, encompassing adaptive machine learning management and strategic analytics, empower leaders to surpass the limitations of conventional analytical and strategic practices [17].The relationship between conventional leadership approaches and technical innovation is especially noticeable in Moroccan organizations.AI stands out as a vital asset for Moroccan organizational leaders, enabling them to effectively handle the intricacies of the workplace with unprecedented flexibility and accuracy [18].This review advocates a revolutionary shift in conventional leadership methods by integrating AI.Incorporating AI into leadership approaches can help cultivate a more discerning, strategic, and impactful style of leadership [32].An essential aspect of this integration is Adaptive Machine Learning Management, emphasizing the relevance of AI systems' ability to adapt to changes in corporate tactics and the general workplace environment [33].This flexibility is required to keep AI technologies current and successful in aiding leadership decisions and aligned with company goals.For Moroccan businesses, using AI tools for leadership and organization emphasizes investing in AI systems that can adapt to workplace changes rather than only satisfying immediate leadership requirements [26].That allows Moroccan corporate leaders to obtain timely and highly relevant strategic information.Strategic Analytics is another critical component of AI leadership integration, as it enables leaders to manage large datasets and derive practical insights that influence strategic decisions [29].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].Knowledge in this area is needed to improve these leaders' ability to effectively use AI technology for strategic decision-making, operational optimization, and innovation.The lack of precise knowledge of integrating AI tools into regular leadership tasks suggests potential gains in enhanced efficiency and competitive advantage may need fulfillment.Therefore, it is imperative to put in place focused educational initiatives and training programs that may give Moroccan leaders the skills and viewpoints they need to use AI-especially Strategic Analytics and Adaptive Machine Learning-to effectively direct the evolution of their organizations [2].The study uses the Structuration Theory of Technology as a theoretical foundation to examine the relationship between AI and leadership in Moroccan organizations.This theory claims that technology influences and is influenced by human activity and organizational frameworks, presenting a comprehensive understanding of how AI might be integrated into leadership [35].It shows that AI transforms leadership approaches and is impacted by organizational and cultural factors, revealing the complicated relationship between technology and leadership practices in various settings [36].This theory indicates that AI deployment and leadership strategies are interdependent.Hence, Moroccan firms must fit their AI implementation with their socioeconomic and cultural context [10].The proposed conceptual framework in this study represents a new era of leadership in Moroccan organizations, marked by the seamless integration of AI and human intelligence.In Morocco, organizations that successfully integrate AI into their leadership style can significantly improve their strategic vision, operational flexibility, and innovation ability [22].According to this approach, AIpowered leadership can assist executives in better understanding and managing the complexities of today's corporate environment.Moroccan organizational leaders that adopt this leadership style are at the forefront of using AI to manage modern business challenges effectively and navigate workplace disruptions [24].A comprehensive and diversified strategy is required to achieve the objective of AI-powered leadership in Moroccan enterprises.That necessitates establishing a robust AI infrastructure, promoting a culture that values digital innovation, and developing organizational leaders' leadership and technical knowledge [9].This strategy ensures that incorporating AI into leadership practices is more than just adopting technology; it is a comprehensive transformation that includes corporate culture, processes, and strategic orientations [3].This literature review provides a solid foundation for thoroughly investigating AI-powered leadership in Moroccan tourism, logistics, and healthcare businesses.That illustrates AI's critical role in transforming leadership practices and shows the potential benefits of incorporating it to improve decision-making, foster innovation, and increase organizational performance.The review highlights the need for further research on AI's practical applications, challenges, and implications on organizational leadership in Morocco.Such scholarly endeavors deepen the theoretical debate on AI and leadership, providing Moroccan executives with actionable solutions for using AI's potential entirely and steering their enterprises to long-term success in a digitalized environment [19].This exploitation is critical for positioning Morocco as a pioneer in incorporating AI into leadership practices, ensuring its enterprises remain competitive, resilient, and inventive globally [21].

Figure 1: Leadership combined with AI, leveraging Strategic Analytics and Adaptive Machine
Learning, yields AI-powered leadership

Research Method and Design
An integrative literature review is a methodical strategy that summarizes prior empirical or theoretical material to improve understanding of a specific phenomenon or subject [28].It is a thorough research approach that includes problem identification, literature searches, data evaluation and analysis, and presentation of findings [37].It goes beyond fundamental research analysis and synthesis to provide new views and concise information on a topic, establishing the groundwork for a conceptual framework and guiding future studies [38].This ILR covers many items, including scholarly articles, monographs, conference proceedings, research, non-commercially published works, and credible digital releases.This study will likely contribute overtly or implicitly to developing strategies and methods relevant to the subject, as an ILR is designed to promote approaches and procedures significant to a given area of study [39].The primary goal of an ILR is to evaluate patterns and common themes while contrasting multiple views to have a thorough understanding of the research topic [40].This ILR provides a thorough analysis, assessing the rigor of studies, methodology used, and depth of study, highlighting flaws and areas for further inquiry to provide significant insights for future research initiatives.Eventually, The ILR method gives a clear and insightful overview of the study topic while masterfully interweaving a compelling plot [34].
Researchers approach literature review topics by identifying developing areas of interest, acknowledging the continuing changes brought about by substantial advances in the field, and pursuing new research opportunities [41].They underline the importance of engaging in prospective improvements and assessing potential future paths, recognizing the growing worth of sharing information with stakeholders.Researchers stress the need to conduct comprehensive literature reviews that include policy, future practices, development, and explicit sampling criteria for representativeness [12].They prioritize a well-organized data-gathering phase that aligns with the study's objectives, utilizing a methodical framework to assure thoroughness and objectivity.An integrative literature review that overlooks the potential impact on policy, future practices, and development has to inspire others to delve deeper into the issue [42].Additionally, researchers emphasize the need to use extensive academic search platforms such as Google Scholar to find relevant publications and consult various sources to gain a thorough understanding of the topic in question [43].
The ILR approach enables a complete examination of existing research by collecting varied viewpoints and findings from various sources, including scholarly articles, reports, case studies, and professional magazines [44].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].This research aims to thoroughly analyze the current landscape of AI adoption in leadership roles within Moroccan enterprises, focusing on identifying trends, barriers, and opportunities for integrating AI into the practices of Moroccan corporate leaders.
The research question focuses on finding specific methods and measures to improve Strategic Analytics and Adaptive Machine Learning Management for AI-powered leadership in Moroccan corporations.This ILR, which will conduct a systematic review and synthesis of existing literature, is anticipated to identify common themes, patterns, and knowledge gaps.Such identification is critical for answering the research question and improving our understanding of the adoption of AI leadership in Moroccan businesses.This integration aims to boost new management practices, enhance workforce development, and help Moroccan organizations move through the digital transformation landscape while adhering to ethical norms.The ILR approach provides a deeper understanding of the issue by assessing hypotheses and data to develop criteria based on the guiding question, considering participants, interventions, and relevant interests [47].It is appropriate for this study since it assists in constructing a solid theoretical base and a conceptual framework [48).It enables the recognition of theoretical methods, models, and frameworks used in earlier studies, which can guide future research and contribute to developing a robust analytical framework.This integrative literature review, which focuses on using AI in leadership within Moroccan enterprises, takes a methodical and thorough approach to gathering relevant sources.The integrative review methodology consists of five stages: problem definition, data collection, data evaluation, analysis and interpretation of data, and the presentation of findings [49].I began this ILR by outlining the study's goals, scope, and subject matter, which focused on adopting AI in leadership within Moroccan companies, highlighting the main difficulties and challenges.Subsequently, in preparation for the data collection phase, I identified essential terms, keywords, and phrases relating to the research issue, such as "artificial intelligence," "leadership," "Moroccan organizations," "organizational leaders," and similar variations.In anticipation of data collection, a thorough search string was generated by combining the given keywords and phrases using logical operators such as AND and OR.I identified and selected suitable academic databases, journals, digital libraries, and repositories for the literature search.Employing a rigorously crafted data collection method that matches the study's aims and critical research question was important in guaranteeing the uniform gathering of information from all sources [22].Following that, I used specific search phrases to evaluate multiple articles, conference papers, reports, and scholarly publications, meticulously analyzing their titles and abstracts against preset inclusion and exclusion criteria.I also reviewed and summarized the content of the chosen publications, obtaining crucial facts about the use of AI and leadership in Moroccan enterprises, and organized the findings by topics, methodology, significant insights, obstacles, and prospects.I then analyzed and interpreted data on the use of artificial intelligence in leadership within Moroccan businesses in search of patterns, insights, and implications that could influence decision-making and improve workplace climate.As the final stage of ILR typically culminates in a comprehensive understanding of a specific subject [50], I concluded this ILR by examining the implementation of AI in leadership within Moroccan organizations, providing an in-depth overview of the landscape, challenges, opportunities, and future directions.Besides, I conducted backward and forward citation searches to find relevant sources and kept a detailed record of the literature search approach to ensure review rigor and replicability.
A validity issue arises from inconsistencies between the gathered studies and the intended research emphasis.The applied measures to address such an issue included executing a complete data-gathering methodology, providing detailed data descriptions, including source details, years, and keywords, and resolving matters relevant to selection bias [51].This study used a variety of library databases and search engines, including Google Scholar, IEEE Xplore, ACM Digital Library, PubMed, Web of Science, and Scopus.Google Scholar's widespread use as an academic literature search engine suggests that the data reflect publications more likely to be read and referenced [52).Google Scholar has become the most comprehensive academic search engine, offering a vast database with millions of records [53].
The search strategy entails combining key terms such as ("Artificial Intelligence" OR "AI"), ("leadership"), "Moroccan organizations" AND ("organizational leaders" OR "business").Following the discovery of influential publications and recurring themes, additional precise searches with refined phrases were conducted in specialist databases such as IEEE Xplore and ACM Digital Library, focusing on implementing AI leadership within Moroccan organizations.
When there was a shortage of new research, dissertations, or conference proceedings, I worked hard to use the existing literature the most.I meticulously studied peer-reviewed journal articles, books, and trustworthy web sources to gather important information, ideas, and theories on my study topic.The Integrative Literature Review approach was chosen because of its ability to synthesize a wide range of information from many sources [26].This method allowed for a thorough study of the research environment, combining findings from various sources and perspectives.The ILR approach ensures a complete understanding of the issue by identifying patterns, trends, and gaps in previous research, making it ideal for the in-depth examination of AI applications by Moroccan executives in their leadership practices.
Tables 1, 2, and 3 summarize and rank the selected articles according to their number of citations, indicating the weight (by rank) that readers can place on the arguments within the extant literature on AI leadership in Moroccan organizations:

Findings of the Study AI-Powered Leadership in Moroccan organizations
The current body of research on AI-powered leadership in Moroccan organizations offers valuable insights into the potential for AI to bring about transformation in several industries.However, it reveals vital gaps and areas that should be investigated critically [22].It is essential to perform additional empirical investigations that provide actual examples and data from Moroccan companies to back up the theoretical frameworks and propositions outlined.Considering Morocco's unique cultural, economic, and organizational environments, the literature would benefit immensely from a full assessment of the socio-cultural impacts of incorporating AI into leadership processes [34].There is also a need for a more in-depth investigation of ethical concerns, particularly data privacy, bias in AI algorithms, and the effects on employment.The research overlooks the pragmatic issues associated with implementing AIpowered leadership techniques, such as digital infrastructure preparedness, employee digital literacy, and reluctance to change within traditional organizational frameworks [21].Bridging these research gaps with a more nuanced and context-specific approach can improve the understanding and implementation of AI-powered leadership in Moroccan businesses, assuring alignment with the country's strategic objectives and socioeconomic conditions.The synthesis of information from the existing literature on AI-powered leadership in Moroccan organizations highlights a growing recognition of AI's strategic significance in transforming leadership.This review focuses on Strategic Analytics and Adaptive Machine Learning Management, which are vital tools for Moroccan organizational leaders to make data-driven decisions, enhance operational efficiencies, and foster an agile and innovative culture.The available literature on AI-powered leadership in Moroccan organizations emphasizes Morocco's desire to develop itself as a technological hub at the crossroads of Africa, Europe, and the Mediterranean, leveraging AI to gain a competitive advantage [50].Despite the enthusiasm, the research constantly demonstrates a significant need for more awareness among organizational leaders and policymakers regarding AI's practical uses in leadership processes.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.Using LLMs with the substantial organizational data found in Moroccan firms will significantly improve decision-making processes, strategic planning initiatives, and everyday operations adaptation.Choosing suitable advanced generative AI models for leadership scenarios in Moroccan firms can significantly simplify understanding enormous amounts of complex data, allowing leaders to gain accurate and relevant insights.The strategic integration of LLMs tailored to Morocco's organizational ecosystems will represent a significant step forward in AI-powered leadership, fostering a significant shift toward adaptable, knowledgeable, and efficient leadership models capable of navigating today's business landscape complexities.That will likely enhance leadership effectiveness and operational efficiencies in Moroccan organizations, ushering in a new era of organizational excellence powered by AI.

Harnessing AI for Leadership Revolution in Moroccan organisations through Strategic Analytics and Adaptive Machine Learning
The current body of literature on using AI to drive a leadership revolution in Moroccan businesses, focusing on Strategic Analytics and Adaptive Machine Learning, provides a compelling description of the possibility for considerable transformation.There is a tendency to ignore the complex sociotechnical systems embedded in these technologies, resulting in an implicit assumption of technological determinism [19].The literature would benefit immensely from a more in-depth investigation of the complex interaction between organizational culture, leadership styles, and employee readiness in Moroccan firms and how AI adoption influences them.Besides, there needs to be more emphasis on the practical challenges of deploying analytics and machine learning, such as data quality issues, a digital skills shortage, and infrastructural constraints [2].Additionally, there is insufficient emphasis on ethical factors, such as the implications on worker relationships, bias, and algorithm transparency [42].These gaps in the literature indicate the need for a more holistic approach that addresses AI's technological capabilities and its broader implications for leadership practices, organizational development, and ethical governance in Moroccan organizations.
Investigating the literature on using AI to drive a leadership revolution in Moroccan firms reveals strong agreement on the importance of Strategic Analytics and Adaptive Machine Learning.These technologies are widely recognized for improving decision-making processes, streamlining operational efficiencies, and fostering creativity within Moroccan enterprises [24].Strategic analytics can translate massive amounts of data into actionable insights, allowing businesses to make well-informed decisions, improve operations, and inspire innovation [7].Adaptive Machine Learning is esteemed for its ability to continuously improve by learning from fresh data, ensuring that firms remain on the cutting edge of innovation [54].The literature emphasizes the strategic alignment of AI capabilities with Morocco's overall digital transformation ambitions and positioning as a regional innovation hub.It underscores the importance of using data-driven insights to help leaders anticipate shifts in the workplace, tailor instructions for employees, and enhance production processes [28].This ILR emphasizes the significance of a solid framework that includes infrastructure development, talent enhancement, and ethical AI use to fully capitalize on the benefits of AI in Moroccan leadership practices.It also supports leadership models that blend AI's analytical powers with human creativity and ethical judgment, emphasizing the significance of a balanced approach that considers both the human aspect and AI integration.Strategic Analytics and Adaptive Machine Learning are critical for creating a leadership development experience that is unique and meaningful for Moroccan enterprises [34].To do this, organizational leaders should include edge computing in AI leadership models to provide a highly personalized and tailored experience that improves AI leadership abilities in their specific organizational environment.These models use Strategic Analytics' analytical capacity to thoroughly evaluate and comprehend the unique dynamics within various businesses, highlighting the critical leadership competencies required for success in distinct situations.Strategic Analytics' in-depth analysis delves into and comprehends the varied landscapes of many firms, identifying the intricate leadership abilities required for success in various situations.This AI platform continuously collects information on leaders' performance, learning preferences, and feedback, tailoring the learning experience to their evolving needs and organizational strategic requirements [32].Adaptive Machine Learning can integrate edge computing to improve leadership development models in real-time, tailoring them to each leader's unique growth and organizational hurdles by using Strategic Analytics on their data.This AI technology significantly enhances staff leadership characteristics and boosts organizational flexibility and visionary planning by cultivating an innovative culture through professional collaboration and knowledge sharing.The combination of Strategic Analytics and Adaptive Machine Learning in AI leadership personalizes development routes for individual leaders by evaluating organization-specific data, and showing the complexities of various industries [18].

Navigating AI-Powered Leadership Data Security and Privacy in Moroccan organisations
The current body of research on resolving AI-powered leadership data security and privacy concerns in Moroccan organizations provides a thorough understanding of the complicated technological challenges.However, it needs to delve into the specific legal, ethical, and technical problems of data security and privacy problems unique to Morocco [3].More research is needed on the relationship between Morocco's regulatory structure and cultural norms about privacy and global data protection standards, which is critical for transnational cooperation.It would considerably improve the existing literature to include more case studies and research on how Moroccan corporate leaders address these urgent concerns, such as cybersecurity, data governance, and ethical AI [16].Likewise, there is a lack of emphasis on studying the impact of data breaches and privacy violations on leaders' credibility and organizational trust [26].Addressing these gaps would provide a more comprehensive understanding of the strategic methods needed to handle the challenges of data security and privacy in the AI-driven leadership change in Moroccan enterprises.Examining the literature on data security and privacy in AI-powered leadership in Moroccan organizations indicates that these issues are becoming increasingly important in the country's technological advancement.The literature underscores the challenge of reconciling the use of AI for forward-thinking organizational leadership with the requirement to preserve sensitive information in the digital age [10].It focuses on the primary techniques used by Moroccan corporate leaders, such as deploying robust cybersecurity measures, rigorous data governance regulations, and adherence to local and international data protection legislation [26].It highlights Morocco's commitment to finding a harmonious blend of technology and ethics, focusing on safeguarding privacy and ensuring data security within AI frameworks.Also, the literature underlines the significance of continuous education and training for organizational leaders to remain current with the ever-changing landscape of cybersecurity threats and privacy concerns [34].The current research emphasizes the intricate connection between technological adoption, organizational leadership strategies, and regulatory compliance, with Morocco emerging as a proactive leader in ethical AI deployment within leadership practices by successfully negotiating these nuances.Blockchain and AI provide leaders with critical insights into data management and privacy concerns, allowing them to make informed decisions, build effective strategies, identify emerging risks, allocate resources efficiently, and drive innovation in data governance [40].They will likely advance responsible AI leadership while maintaining ethical data management standards by building transparent and auditable systems to monitor AI algorithm behavior.By combining these technologies, organizations may improve security, accelerate innovation, and maintain ethical practices, resulting in more trust and transparency in their leadership operations [55].It is critical to underline the necessity of 'Privacy by Design' in AI systems, encouraging the inclusion of privacy and data protection as fundamental principles rather than afterthoughts in AI leadership development.Moroccan leaders should take the initiative in designing and applying AI systems in leadership processes that prioritize user privacy and clearly express data usage norms [41].Combining blockchain technology with edge computing could significantly improve data security and privacy for AI-powered leadership in Moroccan organizations.This combination would prompt critical data processing at the network's edge, resulting in lower latency and faster reaction times.The decentralized nature of blockchain would ensure the integrity and immutability of leadership data, fostering confidence and openness inside Moroccan organizations.Using cutting-edge cryptographic approaches, such as homomorphic encryption, which allows data processing without the need for decryption, opens up new avenues for protecting data privacy while using AI to guide leadership decisions [23].These findings can help to deepen our understanding and approach to data security and privacy in the context of AI-driven leadership in Moroccan enterprises, which aligns with the country's aim for technological advancement and innovation.

Evaluating the Current Literature to Chart the Future of AI Leadership in Moroccan organizations
The existing body of literature on AI leadership in Moroccan enterprises provides a solid platform for understanding, but its limitations also present opportunities for further investigation.One notable area for improvement is its emphasis on the positive incorporation of AI without adequately addressing the complex barriers to implementation, such as technological limitations, a lack of digital literacy among organizational leaders, and resistance to change within traditional structures [41].A lack of research specifically focuses on the real-world applications and challenges of AI leadership in the Moroccan business setting.Besides that, researchers usually overlook the ethical concerns of AI in leadership roles, such as bias, accountability, and job displacement [9].A more in-depth examination of how AI leadership interacts with Moroccan sociocultural norms and economic practices would add to the existing literature and provide insights applicable worldwide and locally.Further research on the benefits and drawbacks of AI leadership and empirical studies to bridge knowledge gaps could enhance the literature and guide Moroccan firms in their AI deployment [12].The existing body of research concerning AI leadership in Moroccan organizations provides encouraging findings regarding the capacity of AI to enhance innovation, operational efficiency, and decision-making.It strategically uses AI technologies like machine learning and analytics to foster datadriven decision-making, adaptability, and cutting-edge leadership practices [3].The literature recognizes Morocco's strategic ambitions toward digital transformation, emphasizing the significance of AI in its efforts to position itself as a key tech hub in the Africa-Europe-Mediterranean area.It illustrates Moroccan officials' growing appreciation of connecting AI initiatives with company goals and the country's economic vision.The literature also highlights the challenges involved, such as AI skill training, strengthening infrastructure, and creating a policy framework that favors ethical AI use [16].The body of literature reveals an increasing interest and investment in AI leadership capabilities in Moroccan businesses, calling for a balanced strategy that tackles technological imperatives and the human components of digital leadership [56].Exploring the available literature to map out the future of AI leadership in Moroccan firms necessitates thoroughly examining innovative approaches that leverage cutting-edge technologies.Moroccan enterprises can improve their AI leadership practices by combining blockchain's decentralized and tamper-proof data storage capabilities with edge computing's local data processing powers.This combination enables real-time data processing and analysis, increasing decision-making speed and efficiency while maintaining data privacy and security.It encourages effective communication and collaboration among teams dispersed across several locations, allowing leaders to benefit from diverse viewpoints and experiences, regardless of divisional lines.The potent mix of blockchain and edge computing gives executives fast and reliable insights.It fosters an open and responsible organizational culture, which aligns with Morocco's cultural values of community and collaborative decision-making.Likewise, AI-assisted collaborative leadership models can improve organizational dynamics by using AI tools to support more democratic and participatory decision-making processes [57].These models emphasize inclusivity and diversity, ensuring everyone can contribute to the organization's direction.In addition, incorporating AI to promote intergenerational leadership within Moroccan businesses could offer a fresh outlook [50].Leveraging AI's data processing skills can help organizations develop a dynamic and flexible leadership culture, combining traditional leadership wisdom with the innovative potential of younger leaders.This progressive strategy encourages AI leadership techniques in Moroccan enterprises and ensures their cultural relevance and inclusivity in the digital age, supporting long-term growth and development [16].

Critique of the Extant Literature to Identify the Future of Practice and Policy
This literature review examines current research on AI-powered leadership in Moroccan enterprises, addressing topics like strategic analytics, adaptive machine learning, data security, and privacy concerns.It combines material from various sources, including academic papers, reports, and industry publications, to create a thorough grasp of the issue.However, despite its comprehensive coverage, the literature analysis reveals several gaps and areas that need more attention.For example, while there is much discussion about theoretical frameworks and conceptual models, empirical research still needs to back up these theories with real-world data from Moroccan enterprises [56].In addition, there needs to be more research into the socio-cultural effects of AI adoption in Moroccan corporate contexts, ignoring the region's specific cultural, economic, and organizational circumstances [42].The research strategies utilized in the examined papers vary rigorously, with some relying on qualitative methods such as case studies and others on quantitative approaches such as surveys and data analysis.
Although each approach has advantages, inherent limitations, and biases can affect the accuracy and usefulness of the results.For instance, qualitative studies might be influenced by sample biases and researcher subjectivity, whereas quantitative studies may rely on self-reported data and overlook nuanced contextual aspects [35].Moreover, the need for longitudinal studies makes it impossible to assess the long-term implications of AI adoption on leadership practices in Moroccan firms.This literature review displays a detailed awareness of Moroccan organizations' cultural contexts and how they influence the adoption and impact of AI leadership.It investigates several cultural elements influencing corporate practices, including leadership styles, decision-making procedures, and attitudes toward AI technology.However, there is an opportunity to delve further into these cultural nuances to gain a more comprehensive understanding of how they intersect with incorporating AI in leadership [58] For example, whereas several studies study the impact of collectivist cultural norms on decision-making processes, more significant research is required to establish how these norms are expressed in particular organizational settings and impact AI leadership practices [50].The findings of the reviewed studies offer valuable insights for Moroccan leaders, managers, and policymakers, as well as practical advice for efficiently and ethically using AI-powered leadership techniques [26].These recommendations emphasize the importance of conducting additional research to support existing theories, addressing ethical concerns such as data privacy and algorithmic bias, and overcoming practical barriers to implementing AI leadership, such as ensuring digital infrastructure readiness and promoting employee digital literacy.By implementing these recommendations, enterprises can improve their AI leadership initiatives to align with the country's strategic objectives and socioeconomic realities [29].The current literature extensively explores the ethical aspects surrounding the use of AI technology in leadership contexts, going through various topics like data privacy, algorithmic bias, and the ethical implications of AI decision-making [40].However, further study is needed to go deeper into the ethical challenges and develop robust frameworks to ensure the ethical application of AI leadership in Moroccan enterprises.That includes investigating the relationship between cultural norms and ethical principles and developing rules for the appropriate deployment of AI leadership that prioritizes transparency, accountability, and fairness [42].
The current body of research identifies various challenges and constraints, including technology limitations, cultural barriers, and ethical quandaries.These challenges may hamper the practical application of AI-powered leadership approaches in Moroccan enterprises and the interpretation and applicability of the findings [56].For example, technological constraints such as digital infrastructure preparedness and data quality issues may restrict AI system efficacy, and cultural barriers such as corporate executives' opposition to change and a lack of digital literacy may impede adoption.Ethical concerns include bias in AI leadership algorithms, and the impact on employment may exacerbate these concerns, underlining the importance of a nuanced approach to AI deployment in leadership [13].For further research, the present literature focuses on various possible areas, including empirical investigations to support theoretical frameworks, exploring cultural factors to promote AI leadership acceptance, and creating analytical techniques to address ethical concerns [31].To better understand AIpowered leadership in Moroccan enterprises, future research should target longitudinal studies that rigorously track the long-term effects of AI deployment in leadership roles.Likewise, cross-cultural comparisons are critical for understanding the disparities in AI leadership acceptance and impact across cultures.Interdisciplinary collaborations that combine knowledge from different fields, like computer science, sociology, and psychology, can give a complete picture of how AI is used in leadership within Moroccan contexts [34].Researchers can use a comprehensive strategy to develop practical insights that contribute to both theory and practice in AI-driven leadership.

Discussion and Implications of the Integrative Literature Review
This literature review examines how AI-powered leadership may revolutionize Moroccan enterprises by leveraging Strategic Analytics and Adaptive Machine Learning for data-driven decision-making, operational efficiencies, and innovation.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.That illustrates Morocco's intention to promote itself as a regional innovation hub, focusing on responsible AI implementation and cultural prominence [2].The research on AI-powered leadership in Moroccan firms gives a detailed overview of the potential, challenges, and repercussions of introducing AI into leadership procedures.Although there is universal agreement that AI leadership substantially promotes innovation, boosts operational efficiency, and enables data-driven decision-making, the extant literature needs to be more relevant [59].There is a need for more data and examples from empirical studies on Moroccan organizations, as well as insufficient attention paid to the complex socio-technical systems that incorporate artificial intelligence.Research in Morocco has consistently shown that AI initiatives must be adapted to the country's unique cultural and socioeconomic norms and that Strategic Analytics and Adaptive Machine Learning are vital tools for a leadership shift [60].However, there are variations regarding the emphasis on practical issues, ethical considerations, and the significance of adopting a comprehensive approach that considers technological capabilities and more significant implications for AI leadership practices.Research on AI-powered leadership in Moroccan firms has improved previous theories of leadership, AI implementation, and organizational behavior by emphasizing the importance of customizing AI integration for specific conditions.The spotlight on Strategic Analytics and Adaptive Machine Learning emphasizes the importance of data-driven decision-making in AI leadership, which is consistent with transformational leadership theories [61].Exploring new perspectives, such as the possible impact of customized large language models (LLMs) on Morocco's organizational ecosystems, indicates the development of distinctive theoretical frameworks for leadership driven by AI.Examining blockchain technology for data security and privacy gives a fresh perspective on addressing ethical and regulatory challenges in adopting AI leadership [62].Such a perspective promotes the development of new theoretical frameworks that combine AI with other technologies like edge computing to improve leadership practices.The literature on AI-powered leadership in Moroccan enterprises has a wide range of real-world implications for leaders, managers, and policymakers [21].Leaders and managers can use Strategic Analytics and Adaptive Machine Learning to make data-driven decisions, increase operational efficiencies, and foster innovation, all of which align with Moroccan organizations' strategic objectives.Policymakers can foster successful AI leadership by prioritizing infrastructure development, talent augmentation, and responsible use of AI.In order to effectively and ethically apply AI-powered leadership practices, leaders, managers, and policymakers have to prioritize continual training, build comprehensive data governance frameworks, and encourage openness and accountability within AI systems [55].Indeed, fostering a climate of transparency, collaboration, and diversity can aid in the seamless integration of AI into leadership operations and address any resistance to change within traditional organizational structures.Moroccan organizations' cultural backdrop profoundly influences the acceptance and effectiveness of AI-driven leadership [26].Moroccan culture has a rich background, with a significant emphasis on rituals, beliefs, and societal expectations that impact leadership styles, decision-making procedures, and technological viewpoints.One cultural component that can impact leadership styles in Moroccan society is the importance of hierarchy and respect for authority [29].Leaders tend to use autocratic or paternalistic leadership styles, in which decision-making authority is concentrated at the organization's top.That may impact the implementation of AI-powered leadership, as leaders may hesitate to relinquish authority or delegate decision-making to AI systems [63].Moroccan organizations often prioritize agreement and group cohesion over individual preferences in their decision-making processes.Implementing AI-powered decision-making systems may face challenges since they may be perceived as undermining the collaborative decision-making process or disregarding stakeholder input [20].The current literature on AI-powered leadership in Moroccan businesses contains several challenges and limitations that may influence how the findings are interpreted and utilized.A significant barrier is the lack of empirical research that provides specific examples and data from Moroccan companies, limiting understanding of the application of AI in real-world scenarios [49].There is an inclination to disregard natural obstacles linked to the use of AI, such as the readiness of digital infrastructure and the digital literacy of staff, which can affect the practicality and efficacy of AI-powered leadership methods [40].Without adequately addressing the obstacles and ethical implications surrounding AI integration, concentrating purely on its good elements can lead to unduly optimistic ideas about the benefits of AI leadership.These limitations limit the findings' general applicability since they may not capture the diverse realities and complexities of AI leadership deployment in Moroccan enterprises [9].As a result, future research must overcome these limits by conducting empirical studies incorporating various perspectives and contextual elements, giving a more complex understanding of AI-driven leadership inside Moroccan organizations.Forthcoming research on AI-powered leadership in Moroccan businesses could look into various prospective areas to address unanswered questions and investigate potential challenges.Additional research might look into the ethical implications of integrating AI, with a focus on data privacy, algorithmic prejudice, and the ethical use of AI in decision-making in Moroccan cultural contexts.An alternate approach is to develop and test frameworks or models that blend AI technologies with leadership theories, such as transformational or servant leadership, to understand better how AI can improve traditional leadership practices in Moroccan organizations [50].Researchers could employ mixed-methods techniques, which combine qualitative interviews or case studies with quantitative surveys, to systematically capture both subjective and objective effects of implementing AI-powered leadership [14].The ethical considerations surrounding the use of AI technology in leadership contexts are critical, particularly in Morocco, where cultural norms and values affect organizational practices [41).Moroccan enterprises should prioritize protecting sensitive information and complying with local and international data protection standards by building robust data governance systems.Recognizing and eliminating algorithmic bias is critical for ensuring fair treatment and promoting equality in organizations that use AI-driven leadership.Moroccan leaders should be responsible for including fairness measures in AI leadership development processes, guaranteeing diversity in datasets used to train AI models, and conducting routine bias audits on AI algorithms.Also, it is critical to thoroughly investigate the ethical implications of AI decision-making, including the need for accountability and transparency [64).Leaders must maintain transparency in the use of AI in decision-making procedures, provide reasons for AI-generated judgments, and establish mechanisms for holding individuals accountable in the event of errors or unexpected consequences.

Future Recommendations for Practice and Policy
AI-powered leadership has the potential to significantly improve Moroccan enterprises by streamlining decision-making and improving workplace management [28].However, empirical research is required to substantiate the theoretical frameworks and propositions provided in the literature.Although the current research gives valuable insights, undertaking empirical studies using data from Moroccan firms would confirm these theories and provide concrete examples of AI implementation in leadership operations [10].That will provide practical assistance for professionals and decision-makers as they navigate the complexities of integrating AI into their day-to-day duties.Considering the strong impact of socio-cultural elements on AI adoption and outcomes, Moroccan enterprises must prioritize assessing the socio-cultural implications of incorporating AI into leadership practices [29].That requires a deep understanding of Morocco's cultural, economic, and organizational surroundings to ensure that AI-driven leadership initiatives are successful, culturally suitable, and socially responsible.Such understanding can aid in developing tailored AI leadership solutions compatible with Moroccan organizational cultures and cultural norms [30].It is critical to prioritize ethical considerations when creating and implementing AI-powered leadership procedures.A responsible approach to AI leadership entails addressing data privacy problems, reducing algorithmic prejudice, and advocating ethical decision-making [65].Underscoring the value of openness, accountability, and fairness fosters ethical AI leadership, which is critical for long-term sustainability and social acceptance.That can help Moroccan businesses use AI-driven leadership more responsibly, enabling alignment between leaders and staff around a common goal [21].Moreover, the practical obstacles to deploying AI-driven leadership approaches must not be overlooked.These encompass concerns such as digital infrastructure readiness, employees' proficiency in digital skills, and reluctance to embrace change within conventional organizational structures [66].To address such issues, Moroccan firms may need to allocate resources to comprehensive training initiatives for leaders and staff and cultivate a work atmosphere that supports innovation and flexibility.That allows Moroccan executives to integrate AI into their management practices across all work settings [4].It is critical to emphasize the significance of incorporating AI adoption into national objectives for economic growth, creativity, and digitization.That guarantees that AI-driven leadership practices contribute significantly to the country's growth and development goals, increasing organizational competitiveness and adaptability in a rapidly changing global environment [3].The development of skills is critical to the successful adoption and deployment of AI leadership in Moroccan organizations.Enhancing the competence and aptitude of leaders and employees empowers them to efficiently apply AI technology in their leadership procedures [16].Partnerships with educational institutions and technological businesses can speed up the process of developing and improving one's skills.That can guarantee that firms have the necessary skills to use AI-powered leadership properly and drive long-term growth inside the organization [11].

Conclusions
Integrating AI into leadership in Moroccan firms represents a substantial shift in organizational paradigms, as cutting-edge technologies such as Strategic Analytics and Adaptive Machine Learning Management change traditional leadership techniques [41].Moroccan businesses can use AI-driven methodologies to improve decision-making, streamline processes, and promote innovation across diverse companies.AI-driven leadership can be greatly accelerated by using specialized large language models (LLMs) tailored to specific leadership requirements.Furthermore, combining Strategic Analytics and Adaptive Machine Learning with edge computing in AI leadership models is critical for creating a unique and meaningful leadership development experience for Moroccan businesses.This systematic approach enhances the ability to anticipate and plan for the future and enables rapid adaptation to changing conditions, building a culture of creativity and flexibility within businesses.The problem evoked in this ILR focuses on the limited knowledge and comprehension among Moroccan organizational leaders and policymakers regarding the optimal use of Strategic Analytics and Adaptive Machine Learning Management in leadership situations.Despite the potential benefits of AI-driven leadership, a significant lack of knowledge prevents mainstream adoption and execution [50].In order to tackle this issue, it is critical to provide insights and advice tailored to the specific demands and challenges faced by Moroccan enterprises when implementing AI technologies.This ILR aims to inform Moroccan organizational leaders and policymakers about the benefits of AIdriven leadership, with a particular emphasis on implementing Strategic Analytics and Adaptive Machine Learning Management in various enterprises.This ILR seeks to equip executives with the information and resources to successfully traverse the digital transformation landscape by investigating various strategies and actions for harnessing these technologies.In addition, combining blockchain and AI technology may provide executives with critical insight into data management and privacy concerns, allowing for better-informed decision-making and pushing progress in data governance [40].
The significance of this ILR stems from its assessment of how cutting-edge technologies have significantly altered Moroccan leadership practices.This review provides a thorough analysis of existing knowledge and helpful recommendations for future research, making it an indispensable resource for investigating the possibilities of AI in Moroccan organizational situations.Also, combining blockchain's decentralized data storage capabilities and edge computing's local data processing capacity opens up new avenues for boosting AI leadership practices in Moroccan organizations.Such avenues help the latter tackle current challenges and lay the groundwork for long-term success and creativity in the digital age [16].This integrative literature review underlines the need to promote collaboration among researchers, policymakers, and industry leaders to bridge the knowledge gap and ensure the successful deployment of AI-driven leadership in Moroccan enterprises.Moroccan businesses may increase their competitiveness, innovation, and digital transformation while remaining ethical and socially responsible by implementing new technologies and strategy frameworks such as strategic Analytics and Adaptive Machine Learning Management [2].This approach enables firms to leverage the power of AI-driven leadership to address current issues and seize growth opportunities in a rapidly changing business setting.