Hon, C K H; Sun, C; Xia, B; Jimmieson, N L; Way, K A and Wu, P P Y (2022) Applications of Bayesian approaches in construction management research: A systematic review. Engineering, Construction and Architectural Management, 29(5), pp. 2153-2182. ISSN 0969-9988
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.
| Item Type: | Article |
|---|---|
| Uncontrolled Keywords: | Bayesian approaches; construction management; systematic review |
| Index terms: | construction industry, systematic literature review, safety management, model development, risk management, management research, reasoning, case study, validation, bayesian network, methodology, productivity |
| Subjects: | risk assessment, professional development, management, analytical methods, data collection methods, research design and methodology, research methods, probabilistic model, research evaluation and metrics, occupational health and safety management, industry analysis, cognitive psychology |
| Topics: | Information Management, Business Strategy, Risk Management, Engineering Principles, Health and Safety, Research Practice, Digital Applications |
| Descriptive scope: | 5 PCTEA |
N.B. Descriptive scope is a count of how many of the five facets of empirical research are indicated by the words used in title, abstract and keywords. It is not intended as a judgement on the research; merely a count of the kind of word we would expect to indicate Phenomenon, Concepts, Theoretical framing, Empirical techniques, Analytical techniques. If all five are present, then a code of “5 PCTEA” will indicate this. If you feel the coding for this record is questionable, we welcome discussion around the terms we matched or the way we categorized them. The facet you would expect may not be coded, or a facet may be coded inappropriately. This can also bear on a larger question, of which facets should be treated as defining in construction management research. Please get in touch, and we will look at it. More details here