Knowledge synthesis of intelligent decision techniques applications in the AECO industry

Abstract

Intelligent decision techniques (IDTs) have been increasingly applied to support (or even replace) decision-makers to make accurate decisions, such as supplier selection and energy retrofit, in the architecture, engineering, construction, and operations (AECO) industry. However, concerning substantial applications, fragmented knowledge of IDTs has prevented them from reaching their full potential. By evaluating 254 related articles, this study aims to investigate the status quo of IDTs applications in the AECO industry and synthesize knowledge in this domain. To this end, a mixed method, which integrates bibliometric analysis focusing on keywords co-occurrence analysis and citation burst detection, and systematic evaluation based on a 3D structure (knowledge, logic, and time), was conducted. A bottom-up knowledge structure was established, including knowledge basis, specific IDTs, five pillar topics, as well as current challenges and future directions. This study contributes to scholarship in the targeted domain and provides theoretical and practical references for both researchers and practitioners.