AI-Driven Knowledge Management in Megaprojects: The Leadership Factor

Abstract

With the increasing complexities and uncertainties, the integration of artificial intelligence has become paramount as the utilization of digital technologies has transformed the management practices across industries, especially in the domain of megaprojects. The paper analyzes the influence of integrating artificial intelligence (AI)- based knowledge management initiatives on the decision-making process of leadership in large-scale initiatives. As the supply chains of large-scale initiatives face complex challenges, leveraging artificial intelligence-based knowledge management initiatives has become essential to enhance resilience and operational efficiency. The qualitative data analysis has shown how AI-driven tools can significantly improve the data analysis in real time, ultimately facilitating knowledge management and enhancing the predictive insights shaping and devising strategic decisions. The AI adoption helps in fostering collaboration through knowledge sharing among the stakeholders, facilitating and promoting innovation and sustainability throughout the lifecycle of the project. Moreover, the AI utilization can deal with the upcoming challenges and uncertainties, helping in informed choices that align with the strategic objectives. The paper discusses the challenges in adopting the AI-based knowledge management initiatives. Leadership support can be marked vital as a clear support with visionary guidance is necessary to gain traction. The study investigates the role of leadership support in the AI-based KM initiatives for the success of the project. Leadership support plays an important role in the implementation of AI by creating a culture of knowledge sharing and embracing innovation and change. Furthermore, strong leadership assists in utilizing the resources, sustainably, and allocates them in the training and development of the human resource to equip them with the necessary knowledge with the help of AI. The qualitative interviews from the industry professionals reflected the positive influence of this step, as it not only empowered the employees but also mitigated the resistance to change. In summary, the paper reflects preliminary findings from an ongoing study that there is a need for leadership support to implement AI-based KM initiatives in megaprojects by articulating a clear vision, securing resources, addressing challenges, and maintaining and sustaining competitive advantage in megaprojects. This supportive framework ultimately enhances the likelihood of achieving project success and driving sustainable growth.