Self‐organizing maps and Bayesian networks in organizational modelling: A case study in innovation projects management

Pacheco, Antonio Luiz Schalata; Futami, André Hideto; Valentina, Luiz Veriano Oliveira Dalla; Flesch, Carlos Alberto

doi:10.1002/sres.2836

Cited by 3 publications

(1 citation statement)

References 140 publications

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“…Indeed, Oliveira et al [135] described the application of ML tools such as self-organizing maps and Bayesian networks in the reduction of uncertainties in project development time, better fit of the workforce to the type of project, reduction of reworks, and positively impacting on the final project costs.…”

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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How artificial intelligence will transform project management in the age of digitization: a systematic literature review

Nenni,

De Felice,

De Luca

et al. 2024

Manag Rev Q

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Among the causes of the low success rate of the projects (around 35% of the total) is the low level of maturity of the technologies available for the management of the projects themselves. However, today many researchers, startups and innovative companies are starting to apply artificial intelligence (AI), machine learning and other advanced technologies to the field of project management. By 2030 the industry will undergo significant changes. By using the Preferred Reporting Items for Systematic Review and Meta-Analyses (PRISMA) protocol this paper explores the intersection of project risk management and AI. The study highlights how AI-driven methodologies and tools can revolutionize the way project risks are managed throughout the project lifecycle. Specifically, 215 papers have been analysed to explore how the scientific community has been moving so far on the topic. Besides, a cross-sectional investigation of the PM processes and AI categories/tools was carried out to identify any path that is prevalent, where the prevalence comes from, and for which PM process or sector it is most successful. Finally, from this study several gaps emerged that scientific research would have to fill to effectively implement AI in PM and that have been turned into opportunities for future research in the form of a research agenda.

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Mapping of innovation as instrument for business enhancement: A bibliometric review

Hidrobo-Morales,

Marcillo-Delgado,

García-Carrillo

2025

Journal of Open Innovation: Technology, Market, and Complexity

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Self‐organizing maps and Bayesian networks in organizational modelling: A case study in innovation projects management

Cited by 3 publications

References 140 publications

Artificial Intelligence Enabled Project Management: A Systematic Literature Review

Artificial Intelligence Enabled Project Management: A Systematic Literature Review

How artificial intelligence will transform project management in the age of digitization: a systematic literature review

Mapping of innovation as instrument for business enhancement: A bibliometric review

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