TY - JOUR
T1 - Data envelopment analysis for performance measurement in the construction field
T2 - a systematic review
AU - Hu, Xiancun
N1 - Publisher Copyright:
© 2024, Emerald Publishing Limited.
PY - 2024/10
Y1 - 2024/10
N2 - Purpose: This paper systematically presents a critical review of data envelopment analysis (DEA) for performance measurement in the construction field. Design/methodology/approach: The review approach consists of a systematic literature search, validation analysis and content analysis. The paper systematically reviews previous papers according to the year of publication, journal, authors, region, research keywords, performance measurement indicators and methodology framework. Findings: A total of 192 journal papers from the first year of publication to 2022 are identified. DEA applications have increased over the years, particularly after 2020. All of the top five journals which published the most identified papers are Q1 journals. Around 74 primary indicators of performance measurement are recognised for the construction industry, company and project levels. A total of 21 top keywords are identified and then divided into five clusters using VOSviewer. DEA has been widely utilised to measure construction performance and benchmark technologies, particularly where sustainable development performance has become a popular topic recently. Practical implications: How to effectively distinguish performance indicators, collect research data, build DEA models and deeply analyse DEA results are illustrated for future practitioners. The performance measurement and improvement cycle based on DEA is provided. Research directions and method recommendations are developed for future scholars using DEA. Originality/value: This is the first comprehensive review that has initially presented various performance indicators and a methodology framework for developing DEA models to investigate performance measurement in the construction field. The methodology framework of DEA is developed, including data collection, model construction and further analysis of DEA results.
AB - Purpose: This paper systematically presents a critical review of data envelopment analysis (DEA) for performance measurement in the construction field. Design/methodology/approach: The review approach consists of a systematic literature search, validation analysis and content analysis. The paper systematically reviews previous papers according to the year of publication, journal, authors, region, research keywords, performance measurement indicators and methodology framework. Findings: A total of 192 journal papers from the first year of publication to 2022 are identified. DEA applications have increased over the years, particularly after 2020. All of the top five journals which published the most identified papers are Q1 journals. Around 74 primary indicators of performance measurement are recognised for the construction industry, company and project levels. A total of 21 top keywords are identified and then divided into five clusters using VOSviewer. DEA has been widely utilised to measure construction performance and benchmark technologies, particularly where sustainable development performance has become a popular topic recently. Practical implications: How to effectively distinguish performance indicators, collect research data, build DEA models and deeply analyse DEA results are illustrated for future practitioners. The performance measurement and improvement cycle based on DEA is provided. Research directions and method recommendations are developed for future scholars using DEA. Originality/value: This is the first comprehensive review that has initially presented various performance indicators and a methodology framework for developing DEA models to investigate performance measurement in the construction field. The methodology framework of DEA is developed, including data collection, model construction and further analysis of DEA results.
KW - Construction field
KW - Data envelopment analysis
KW - Performance measurement
KW - Systematic review
UR - http://www.scopus.com/inward/record.url?scp=85207231820&partnerID=8YFLogxK
U2 - 10.1108/ECAM-05-2023-0515
DO - 10.1108/ECAM-05-2023-0515
M3 - Article
AN - SCOPUS:85207231820
SN - 0969-9988
SP - 1
EP - 26
JO - Engineering, Construction and Architectural Management
JF - Engineering, Construction and Architectural Management
ER -