Exploring a body of knowledge for promoting the building information model for facility management

Abstract

The aim of this research is to explore the body of knowledge on BIM-enabled facility management (BIM-FM). This study proposes a method for knowledge mapping analysis through scientometric analysis, which uses two software, VOSviewer, and CiteSpace, to analyze the results of literature data related to BIM-FM. 319 journal articles were collected for collaborative network analysis, co-occurrence network analysis, and co-citation network analysis. The findings of the study conclude that 1) the knowledge structure of BIM-FM was divided into five significant clusters; 2) the key research topics of BIM-FM show an evolutionary trend in different periods, from model construction, framework, and gradually expanding to implementation, system integration, and smart building; 3) future research foresees three research directions, including enhancing the application of BIM in multiple facility management; advanced applications in facility management; health and safety for facility managers; and improving regulations and risk awareness.

Keywords

• BIM
• Facility management
• Knowledge body
• Scientific analysis