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

In the field of project management, complexity is closely related to project outcomes and hence project success and failure factors. Subjectivity is inherent to these concepts, which are also influenced by sectorial, cultural, and geographical differences. While theoretical frameworks to identify organizational complexity factors do exist, a thorough and multidimensional account of organizational complexity must take into account the behavior and interrelatedness of these factors. Our study is focused on analyzing the combinations of failure factors by means of self-organizing maps (SOM) and clustering techniques, thus getting different patterns about the project managers perception on influencing project failure causes and hence project complexity. The analysis is based on a survey conducted among project manager practitioners from all over the world to gather information on the degree of influence of different factors on the projects failure causes. The study is cross-sectorial. Behavioral patterns were found, concluding that in the sampled population there are five clearly differentiated groups (clusters) and at least three clear patterns of answers. The prevalent order of influence is project factors, organization related factors, project manager and team members factors, and external factors

Integration of Balanced Scorecard (BSC), strategy map, and Fuzzy Analytic Hierarchy Process (FAHP) for a sustainability business framework: A case study of a Spanish software factory in the financial sector

This work has been subsidized through the Plan of Science, Technology and Innovation of the Principality of Asturias (Ref: FC-15-GRUPIN14-132). The authors also thank anonymous referees who reviewed and gave important comments to this pape

Integrating analytic hierarchy process (AHP) and balanced scorecard (BSC) framework for sustainable business in a software factory in the financial sector

This work has been subsidized through the Plan of Science, Technology and Innovation of the Principality of Asturias (Ref: FC-15-GRUPIN14-132). The authors also thank anonymous referees who reviewed and gave important comments to this paper

The Potential of Iron Ore Tailings as Secondary Deposits of Rare Earths

Plan of Science, Technology and Innovation of the Principality of Asturias [FC-GRUPIN-IDI/2018/000225

Hybrid model for improving width performances in hot strip mill

A modelling strategy has been developed to reduce the overspread at the finisher of the HSM in Avilés. A new hybrid data based model elaborates the roughing and finishing mills set up. It has made it possible to reduce the overspread by 1.5 mm at the finisher since March 2005. The model is modular and flexible and it can be transferred to other installation

Las nuevas tecnologías en la enseñanza aplicadas al tercer ciclo: doctorado interuniversitario

Congreso Internacional de Comunicación, Tecnología y Educación (3º. 2000. Oviedo

Aprendizaje del manejo de un sistema de cuchillas de soplado de una línea de galvanizado mediante simulación y realidad virtual

Congreso Internacional de Comunicación, Tecnología y Educación (3º. 2000. Oviedo