Exploring a body of knowledge for promoting the building information model for facility management
Document Type
Article
Publication Date
6-1-2022
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. (c) 2022 THE AUTHORS. Published by Elsevier BV on behalf of Faculty of Engineering, Ain Shams University This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
Keywords
BIM, Facility management, Knowledge body, Scientific analysis
Divisions
BuiltEnvironment
Funders
Fundamental Research Grant Scheme (FRGS) by the Ministry of Education, Malaysia (Grant No: FRGS/1/2019/SSI11/UM/02/6 & FP077-2019A),Natural Science Foundation of Liaoning Province (Grant No; 2021-BS-072)
Publication Title
Ain Shams Engineering Journal
Volume
13
Issue
4
Publisher
Elsevier
Publisher Location
RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS