The DOI matches its Crossref record.
The Data-Driven Project Manager
Open accessAbstract
Structured as a novel, this book provides real-time simulations of how a project manager can solve common project obstacles. The book is based on years of experience, both through the author's research projects as well as his teaching lectures at business schools.
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Probabilistic representations of uncertainty have been successfully employed with uniform distributions to characterise uncertainty when knowledge is sparse or absent.
“Probabilistic representations of uncertainty have been successfully employed with uniform distributions to characterise uncertainty when knowledge is sparse or absent (Curto et al. 2022;Vanhoucke, 2018;Helton et al. 2006).”
From Beyond probability-impact matrices in project risk management: A quantitative methodology for risk prioritisation (2024) · cites this paper as Vanhoucke, 2018
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Acebes, F., González-Varona, J. M., López-Paredes, A., & Pajares, J. (2024) · Humanities and Social Sciences Communications · doi:10.1057/s41599-024-03180-5 · Cited by 74
Metadata
- Authors
- Vanhoucke, M.
- Corresponding author
- Vanhoucke, Mario
- ORCID
- Vanhoucke, Mario
- Venue
- Apress eBooks
- Publisher
- Apress
- Published
- 2018
- OpenAlex
- W4250136479
- Cited by
- 11
- References
- 0
- Citations by year
- 2026: 2 · 2024: 2 · 2023: 2 · 2022: 3 · 2019: 1 · 2018: 1
- FWCI
- 0.38
- Type
- book
- Language
- en
- Open access
- green
- biblio.ugent.be
- Licence
- Locations
- Apress eBooks (publishedVersion)
- Ghent University Academic Bibliography (Ghent University) (publishedVersion, other-oa)
- International Linear Collider (submittedVersion)
- Topics
- Social Sciences › Decision Sciences › Management Science and Operations Research › Construction Project Management and Performance
- Social Sciences › Business, Management and Accounting › Management Information Systems › Big Data and Business Intelligence
- Social Sciences › Business, Management and Accounting › Management of Technology and Innovation › Economic and Technological Systems Analysis
- Keywords
- project management, data-driven decision making, real-time simulation, project management education, business schools
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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
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