Exploring project complexity through project failure factors: analysis of cluster patterns using self-organizing maps

DOI10.1155/2018/9496731zbMath1390.93009OpenAlexW2804691915WikidataQ129777783 ScholiaQ129777783MaRDI QIDQ1649545

Vicente Rodríguez Montequín, Sonia María Cousillas Fernández, Joaquín Villanueva Balsera, Francisco Ortega Fernández

Publication date: 6 July 2018

Published in: Complexity (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1155/2018/9496731

zbMATH Keywords

project managementinterrelatednessorganizational complexityself-organizing maps (SOM)

Mathematics Subject Classification ID

General systems (93A10) Large-scale systems (93A15) Theory of organizations, manpower planning in operations research (90B70)

Uses Software

• SOM

Cites Work

• Self-organized formation of topologically correct feature maps
• SOM-based data visualization methods

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