A Bibliometric Analysis of Building Information Modelling (BIM) Capability Research

Qiao He (), Sujuan Zhang (), Xiaozhi Ma, Yumiao Yang and Mengming Huang
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Qiao He: Xiamen University
Sujuan Zhang: Xiamen University
Xiaozhi Ma: Guangzhou University
Yumiao Yang: Xiamen University
Mengming Huang: Fujian Provincial Institute of Architectural Design and Research Co., Ltd.

Chapter Chapter 24 in Proceedings of the 28th International Symposium on Advancement of Construction Management and Real Estate, 2024, pp 341-354 from Springer

Abstract: Abstract With the increasing reliance on digital technologies in the architectural, engineering, construction, and operation (AECO) industries around the world, Building Information Modelling (BIM) is considered to be the information backbone and integration platform for the industry’s digital transformation process. For individuals, projects, and organizations to adopt and utilize BIM in the industries, it is important to identify necessary BIM capabilities that need to be developed, applied, and measured. Currently, an increasing number of studies have focused on BIM capabilities across various individual, project, organizational, and national levels and among different project stakeholders. However, a knowledge gap exists in understanding the state-of-the-art in this field. The main purpose of this paper is to examine research scope, patterns, and development trends of BIM capabilities research and achieve a better understanding of the cutting-edge developments in this area. To do so, a bibliometric analysis and review was conducted to identify influential authors, journals, and keywords in the research area of BIM capabilities. Using the Web of Science database, a total number of 638 published research articles were obtained and selected for bibliometric analysis. The VOSviewer software is used to help map out the keyword co-occurrence network, co-authorship network, etc. New fields in BIM capabilities research are highlighted, such as the increasing use of integrated digital tools, sustainability, performance and risk management. These development trends propel the utilization of BIM in the AECO industries to new heights to achieve more efficient, sustainable, and intelligent construction project management. This study contributes to the existing body of knowledge on BIM capabilities, offering insights into promising directions for future research advancements in this field.

Keywords: Building information modelling; BIM capabilities; Bibliometric analysis; Literature review (search for similar items in EconPapers)
Date: 2024
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DOI: 10.1007/978-981-97-1949-5_24

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