Knowledge Management Systems for Structural Engineering Design in the Era of Emerging Technological Advancements

As construction projects become larger, more complex, and fast-paced, the role of knowledge management (KM) is fast growing in engineering firms, which are characterized as knowledge-intensive by nature. To remain competitive and ensure project success, engineers are seeking new tools and methods to capture both explicit and implicit knowledge that can then be retrieved in a timely and efficient way. This paper aims to discuss knowledge management systems (KMS) as related to structural engineers, in the context of large, international, and multi-disciplinary engineering firms. The methodology used consists of a review of literature to identify the macro, meso, and micro level factors influencing the development of structural engineering KMS. The various strategies and steps related to the development of the KMS are then discussed. The challenges of implementing such systems are further examined in light of emerging technologies and of the complex interrelations between the different entities of large international firms. The case of a top-twenty global engineering design group is presented. Furthermore, it is argued that firms often limit KMS to their technological aspects undermining the need for a detailed and structured framework to guide the KMS initiative. Technological advancements such as knowledge discovery in databases, data analytics, artificial intelligence, platforms, and web 2.0 technologies should be rather viewed as useful tools to render the KM experience faster and more user friendly. They do not replace the need to elaborate a reliable framework based on the specific needs of structural engineers, and which can act as the backbone of KMS. Firms should also adopt strategies to promote a learning organization culture and empower engineers to become actively engaged in the KMS experience, thus ensuring an optimum retention of knowledge within their organizations.