Strategic Evaluation of Project Management Organizations

Authors

  • Anié Bermudez Peña Universidad de las Ciencias Informáticas
  • Roberto Delgado Victore Universidad de las Ciencias Informáticas
  • Gilberto Fernando Castro Aguilar Universidad Católica Santiago de Guayaquil
  • Rosa María Renté Labrada Universidad de las Ciencias Informáticas
  • Noichel Juan Hernández Universidad de las Ciencias Informáticas

DOI:

https://doi.org/10.36790/epistemus.v12i25.81

Keywords:

Building Information Modeling, Business Intelligence, Project Management Organizations, Soft computing

Abstract

Project constitutes the basic organizational unit of the companies that have a decisive influence on its progress. Integrated Project Management allows the development of good practices, continuous improvement, change management, integration and business synergy. Project management policy, the use of indicators and trends in a strategic integrated management process are the fundamental basis for the development of business intelligence. The objective of this work is the development of the strategic evaluation of the organizations that work for projects in the DIP oriented to Building Information Modeling. Through the application of a strategic model in the investment life cycle, it is allowed to share the indicators behavior in the strategic cuts between managers, team and stakeholders, to proceed to the decision making in integrated process management. Application of soft computing techniques equips computer systems with robustness, efficiency and adaptability to support the project execution control, adequately handle data uncertainty, as well...

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References

Amendola L. (2004). Estratégicas y Tácticas en Dirección y Gestión de Proyectos. Project Management. Universidad Politécnica de Valencia.

Bath, M. (2010). Project Classification Using Soft Computing. En: International Conference on Advances in Computing, Control & Telecommunication Technologies, pp. 537-539.

Certa, A., Enea, M., y Giallanza, A. (2010). A synthetic measure for the assessment of the project performance. DOI: https://doi.org/10.1007/978-3-642-04800-5_11

Business Performance Measurement and Management, pp. 167-180. Springer-Verlag, Berlin.

Delgado R. y Montes de Oca M. (2009). La gestión del Conocimiento Organizacional en la Toma de decisiones. En: Informática 2009. Palacio de Convenciones, La Habana, Cuba.

Delgado, R. (2011). La Dirección Integrada de Proyecto como Centro del Sistema de Control de Gestión en el Ministerio del Poder Popular para la Comunicación y la Información. CENDA, Caracas, Venezuela.

Espinosa A. (2012). La Ingeniería del valor y la Constructibilidad. En: 16 Conferencia Científica. Palacio de Convenciones, La Habana, Cuba.

Gao, H. (2010). A fuzzy-ANP approach to project management performance evaluation indices system. En: DOI: https://doi.org/10.1109/ICLSIM.2010.5461423

International Conference on Logistics Systems and Intelligent Management, IEEE, pp. 273-277.

Govindarajan, A. (2014). A Novel Framework for Evaluating the Software Project Management Efficiency - An Artificial Intelligence Approach. TELKOMNIKA Indonesian Journal of Electrical Engineering, 12(9), 7054-7058. DOI: https://doi.org/10.11591/telkomnika.v12i9.6408

Holness, V. R. (2008). Building Information Modeling Gaining Momentum. ASHRAE Journal. pp. 28-40.

Liu, Y., et al. (2013). Research on Evaluation of Project Management Maturity Model Based on BP Neural Network. Advances in Information Sciences and Service Sciences (AISS), 5(2), 693-701. DOI: https://doi.org/10.4156/aiss.vol5.issue2.87

Mewada, K. M., Sinhal, A., y Verma, B. (2013). Adaptive Neuro-Fuzzy Inference System (ANFIS) Based Software Evaluation. IJCSI International Journal of Computer Science, 10(1), 244-250.

PMI (2017). A Guide to the Project Management Body of Knowledge. PMBOK® Guide, 6th Edition. Project Management Institute, Pennsylvania, EE.UU.

Prince (2009). Managing Successful Projects with Prince2. In: TSO (Ed.), Londres.

SEI (2010). CMMI para Desarrollo, Versión 1.3. Mejora de los procesos para el desarrollo de mejores productos y servicios. Technical Report, Software Engineering Institute, EE.UU.

Stang, D. B. (2013). IT Project & Portfolio Management Magic Quadrant. Gartner Inc., Stanford.

Torres M. (2008). Fundamentos generales de la logística. Editora LogiCuba.

Published

2018-12-31

How to Cite

Bermudez Peña, A., Delgado Victore, R., Castro Aguilar, G. F., Renté Labrada, R. M., & Hernández, N. J. (2018). Strategic Evaluation of Project Management Organizations. EPISTEMUS, 12(25), 22–30. https://doi.org/10.36790/epistemus.v12i25.81

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