Sanchez, F., Bonjour, E., Micaelli, J. P., & Monticolo, D. (2020). An approach based on Bayesian network for improving project management maturity: an application to reduce cost overrun risks in engineering projects. Computers in Industry, 119. This article explores the use of machine learning and human expertise to predict the risk of cost overruns.
Asadabadi, M. R., & Zwikael, O. (2019). Integrating risk into estimations of project activities’ time and cost: a stratified approach. European Journal of Operational Research. The article presents an application of operations research in project management, along with a developing stratified multi-criteria decision-making method.
Stanitsas, M., Kirytopoulos, K., & Leopoulos, V. (2021). Integrating sustainability indicators into project management: the case of construction industry. Journal of Cleaner Production, 279. This article explores the integration of sustainability indicators into project management practices of construction projects.
Rush, D. E., & Connolly, A. J. (2020). An agile framework for teaching with scrum in the it project management classroom. Journal of Information Systems Education, 31(3), 196–207. The article provides an overview of the agile philosophy and examples of teaching Scrum in the classroom situate this work in the teaching and learning literature.
Pellerin, R., & Perrier, N. (2019). A review of methods, techniques and tools for project planning and control. International Journal of Production Research, 57(7), 2160–2178. The article provides a brief review of methods and techniques developed for the most studied decision-making problems in project planning and control over the last decade.