Architecture Engineers Award

The construction sector continues to struggle with long-standing challenges related to low productivity, limited innovation, and fragmented organizational structures. While Artificial Intelligence (AI) presents significant opportunities for transformation under the paradigm of Smart Buildings and Construction 4.0 (SBC4.0), its implementation at the organizational level remains insufficiently understood. This study addresses this gap by examining how construction firms adopt AI and the organizational forces shaping these decisions. Theoretical Foundations for AI Implementation The research develops an integrated theoretical framework drawing on institutional theory, the resource-based view, and dynamic capabilities. Institutional theory explains how external pressures influence organizational behavior, while the resource-based view and dynamic capabilities highlight the internal assets and adaptive capacities required for AI adoption. Together, these perspectives provide a comprehens...

The rapid digital transformation of higher education has reshaped pedagogical approaches across disciplines, with architecture education facing distinct challenges due to its studio-based, practice-oriented nature. Asynchronous online learning has emerged as a key instructional model, offering flexibility and scalability while challenging traditional modes of interaction, critique, and design development. This study examines the effectiveness of asynchronous learning environments in architecture pedagogy, focusing on how digital platforms support learning outcomes, student engagement, and design cognition. Context of Digital Transformation in Architecture Education Architecture education has historically relied on face-to-face studios, physical models, and real-time critique. The shift toward digital platforms has accelerated the adoption of online tools for content delivery, design communication, and collaboration. Within this context, asynchronous learning represents a significant...