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Applications of Bayesian approaches in construction management research: a systematic review

Carol K.H. Hon (School of Architecture and Built Environment, Queensland University of Technology, Brisbane, Australia)
Chenjunyan Sun (School of Architecture and Built Environment, Queensland University of Technology, Brisbane, Australia)
Bo Xia (College of Civil Engineering, Hefei University of Technology, Hefei, China) (School of Architecture and Built Environment, Queensland University of Technology, Brisbane, Australia)
Nerina L. Jimmieson (School of Management, Queensland University of Technology, Brisbane, Australia)
Kïrsten A. Way (School of Psychology, The University of Queensland, Brisbane, Australia)
Paul Pao-Yen Wu (School of Mathematical Sciences, Queensland University of Technology, Brisbane, Australia)

Engineering, Construction and Architectural Management

ISSN: 0969-9988

Article publication date: 7 June 2021

Abstract

Purpose

Bayesian approaches have been widely applied in construction management (CM) research due to their capacity to deal with uncertain and complicated problems. However, to date, there has been no systematic review of applications of Bayesian approaches in existing CM studies. This paper systematically reviews applications of Bayesian approaches in CM research and provides insights into potential benefits of this technique for driving innovation and productivity in the construction industry.

Design/methodology/approach

A total of 148 articles were retrieved for systematic review through two literature selection rounds.

Findings

Bayesian approaches have been widely applied to safety management and risk management. The Bayesian network (BN) was the most frequently employed Bayesian method. Elicitation from expert knowledge and case studies were the primary methods for BN development and validation, respectively. Prediction was the most popular type of reasoning with BNs. Research limitations in existing studies mainly related to not fully realizing the potential of Bayesian approaches in CM functional areas, over-reliance on expert knowledge for BN model development and lacking guides on BN model validation, together with pertinent recommendations for future research.

Originality/value

This systematic review contributes to providing a comprehensive understanding of the application of Bayesian approaches in CM research and highlights implications for future research and practice.

Keywords

Acknowledgements

The work described in this paper was supported by a Discovery Early Career Researcher Award from the Australian Research Council (Project ID: DE190100657).

Citation

Hon, C.K.H., Sun, C., Xia, B., Jimmieson, N.L., Way, K.A. and Wu, P.P.-Y. (2021), "Applications of Bayesian approaches in construction management research: a systematic review", Engineering, Construction and Architectural Management, Vol. ahead-of-print No. ahead-of-print. https://doi.org/10.1108/ECAM-10-2020-0817

Publisher

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Emerald Publishing Limited

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