Theoretical framework of Fuzzy-AI model in quantitative project management

Xu, Feng; Lin, Shaopei

doi:10.3233/ifs-151776

Cited by 11 publications

(2 citation statements)

References 7 publications

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“…Moreover, the article [124] presented a stability prediction of construction projects based on ML algorithms. Furthermore, a framework based on fuzzy logic for digitalized PM was presented in [125]. It is applied for risk management in a railway project in Africa.…”

Section: Uncertainty Pdmentioning

confidence: 99%

Artificial Intelligence Enabled Project Management: A Systematic Literature Review

et al. 2023

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In the Industry 5.0 era, companies are leveraging the potential of cutting-edge technologies such as artificial intelligence for more efficient and green human-centric production. In a similar approach, project management would benefit from artificial intelligence in order to achieve project goals by improving project performance, and consequently, reaching higher sustainable success. In this context, this paper examines the role of artificial intelligence in emerging project management through a systematic literature review; the applications of AI techniques in the project management performance domains are presented. The results show that the number of influential publications on artificial intelligence-enabled project management has increased significantly over the last decade. The findings indicate that artificial intelligence, predominantly machine learning, can be considerably useful in the management of construction and IT projects; it is notably encouraging for enhancing the planning, measurement, and uncertainty performance domains by providing promising forecasting and decision-making capabilities.

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Section: Uncertainty Pdmentioning

confidence: 99%

Artificial Intelligence Enabled Project Management: A Systematic Literature Review

et al. 2023

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“…In fact, it is also necessary that potential differences in the importance of specific competencies for a particular type or specific features of a project be considered while applying a project manager's suitability model. Afshari (2015) developed a systematic method in order to determine the best candidate for construction project manager selection by applying Delphi method and fuzzy linguistic evaluation (Kauffman & Gupta, 1991;Afshari et al, 2013;Bojadziev & Bojadziev, 2007;Ross, 2009;Xu & Lin, 2016) and also validated the method using a case study of construction project manager selection in a project based company. Ahsan et al (2013) investigated the competencies organizations use through project manager job advertisements.…”

Section: Literature Reviewmentioning

confidence: 99%

A structural equation modeling approach to examine the relationship between complexity factors of a project and the merits of project manager

Makui¹,

Zadeh²,

Bagherpour³

et al. 2018

10.5267/j.jpm

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A structural equation modeling approach to examine the relationship between complexity factors of a project and the merits of project manager Nowadays, projects have become so widespread in the world that individuals and organizations are always involved in a variety of them. Recent advances in technology and fundamental changes in most scientific disciplines have had an essential impact on projects, and have made the nature and environmental conditions governing them to become more complex than before. With increasing complexity, the amount of information needed for project management increases. In general, the increasing complexity of projects is a growing source of project risks. It has been recognized that complexity affects the performance of a project and will be effective in its success. In this context, the traditional principles and practices of project management are no longer able to control the emerging complexity of projects. In addition, one of the key factors for the success of the projects is the appropriateness of the project manager's assignment. Many studies have been carried out in identifying the suitability criteria of the project manager and the methods of selecting the project manager. In most of these studies, the amount and type of complexity of the project are mentioned as factors influencing the design of an appropriate project manager. However, there has not yet been a specific approach for selecting the project manager with regard to the complexity of the project. Therefore, in this research, we try to investigate the relationship between the complexity of the project and the merits of the project manager by applying a structural equation modeling approach.

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