Cross-Industry Innovations in Project Management: Assessing the Transferability of Autonomous Vehicle Technologies to Improve IT Project Deliverables and Outcomes
Abstract
The rapid advancements in autonomous vehicle (AV) technologies have showcased the potential for significant improvements in efficiency, decision-making, and outcomes across various industries. This paper explores the possibility of transferring the principles and technologies behind AV systems to the realm of IT project management. By examining the core elements of AV technology—such as real-time data processing, machine learning, automation, and predictive analytics—this paper investigates how these innovations can be adapted to improve project deliverables and outcomes in IT. The study highlights the parallels between AV navigation systems and project management workflows, emphasizing the potential for enhanced decision-making, risk management, and process automation. Additionally, the paper discusses the challenges and limitations of cross-industry technology transfer, including the need for customization, the integration of new technologies with existing systems, and the potential for resistance to change within organizations. Through a detailed analysis of case studies and theoretical models, the paper concludes that the strategic application of AV technologies could revolutionize IT project management, driving efficiency and delivering superior outcomes.
Author Biography
Phan Minh Duc
Phan Minh Duc, Department of Computer Science, Lang Son University, 98 Tran Dang Ninh Street, Lang Son City, Lang Son Province, Vietnam