EconPapers    
Economics at your fingertips  
 

A three-stage network DEA approach for performance evaluation of BIM application in construction projects

Lan Luo, Hao Chen, Yue Yang, Guangdong Wu and Long Chen

Technology in Society, 2022, vol. 71, issue C

Abstract: BIM application in the construction industry is still low in China, mainly due to the lack of effective measures for BIM application evaluation. Therefore, this study takes BIM application as the research object to propose a three-stage network DEA approach for performance evaluation. The BIM application performance evaluation indicators are determined based on the balanced scorecard method and Delphi method, and a three-stage network DEA model is established to optimize the BIM application performance. The three-stage network DEA model established in this study can solve the problem that the traditional DEA model treats the internal structure as a “black box”. The model is then applied to the actual case of 9 construction projects, including relaxation value analysis and path optimization, to identify the critical path for the reallocation of resources. This paper studies the performance evaluation of BIM application, which is conducive to the further improvement of the theory of BIM management, and also can effectively improve the performance of construction projects and bring practical benefits to construction enterprises.

Keywords: Construction projects; BIM application; Performance evaluation; Three-stage network DEA approach (search for similar items in EconPapers)
Date: 2022
References: Add references at CitEc
Citations: Track citations by RSS feed

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0160791X22002469
Full text for ScienceDirect subscribers only

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eee:teinso:v:71:y:2022:i:c:s0160791x22002469

DOI: 10.1016/j.techsoc.2022.102105

Access Statistics for this article

Technology in Society is currently edited by Charla Griffy-Brown

More articles in Technology in Society from Elsevier
Bibliographic data for series maintained by Catherine Liu ().

 
Page updated 2022-11-10
Handle: RePEc:eee:teinso:v:71:y:2022:i:c:s0160791x22002469