Research on the Transformation of Engineering Cost Management Driven by Information Technology

Abstract

Against the backdrop of increasingly large and complex modern construction engineering systems, engineering cost management directly affects the economic benefits of investment entities and the efficiency of socialized resource allocation. For a long time, domestic engineering cost management has largely relied on manual quantity calculation, empirical estimation, and decentralized spreadsheet processing. This traditional model is not only time-consuming and labor-intensive but also highly susceptible to subjective human interference, leading to poor information flow and severe data silos, making it difficult to meet the high standards of dynamic cost control required by modern engineering projects. However, with the rise of a new round of technological revolution, the rapid development of information technologies represented by big data, artificial intelligence, Building Information Modeling (BIM), and cloud computing has provided new tools to address the persistent challenges in cost management. By introducing digital methods, real-time collection, in-depth mining, and interactive sharing of cost data can be achieved, thereby significantly improving management efficiency and decision-making quality. Therefore, exploring the deep integration mechanism between information technology and engineering cost management, and analyzing its current application status, existing bottlenecks, and corresponding strategies, holds profound practical significance for promoting the transformation and upgrading of the industry. This represents not merely an update of technical tools but a fundamental shift in management thinking and operational paradigms, marking the engineering cost industry’s transition from a "labor-intensive" model to a "technology-intensive" and "intelligence-driven decision-making" one.