Bayesian networks in project management: A scoping review

•Explore the application of Bayesian networks (BNs) in project management (PM).•Describe the nature and evolution (2004–2021) of 102 selected journal papers.•Develop a classification framework in 4 dimensions (Where, What, Why, and How).•Use this framework to determine the conditions of application...

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Bibliographic Details
Published inExpert systems with applications Vol. 214; p. 119214
Main Author Guinhouya, Kouami A.
Format Journal Article
LanguageEnglish
Published Elsevier Ltd 15.03.2023
Subjects
Bayesian networks
Literature review
Project management
Scoping review
Literature review
Scoping review
Bayesian networks
Project management
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Summary:•Explore the application of Bayesian networks (BNs) in project management (PM).•Describe the nature and evolution (2004–2021) of 102 selected journal papers.•Develop a classification framework in 4 dimensions (Where, What, Why, and How).•Use this framework to determine the conditions of application of BNs in PM.•Identify gaps and suggest future research based on the classification framework. To support project management (PM) activities, many methods and techniques have been proposed. However, little information exists on how these methods and techniques are used. This is particularly the case with the technique of Bayesian networks (BNs). The purpose of this scoping review is to categorize and to describe how BNs are applied in PM. To this, 102 journal articles published between 2004 and 2021 were analyzed. First, we describe the nature and evolution over time of the articles. Second, based on a specifically developed framework, we classified the articles by project type (Construction & Infrastructure; Software & IT; Engineering & Manufacturing; and Others), project aspect (Challenges & Risks; Context & Process; and Outcomes), reasons for using BNs (Description; Prediction; and Prescription) and types of BNs (Basic BNs; Combined BNs; and Extended BNs). In general, the findings highlight continued evolution of the literature on the subject, mainly in the last five years (2017–2021). Furthermore, thanks to the classification framework, we have suggested to researchers avenues for future research. Practitioners could also use it as a basic tool to implement a PM program.
ISSN:0957-4174
DOI:10.1016/j.eswa.2022.119214