The analyses of project management methodologies based on genome models

Authors

  • Сергей Дмитриевич Бушуев Kyiv National University of Construction and Architecture of Ukraine, ave. Povitroflotskyi 31, Kyiv, Ukraine, 03037, Ukraine https://orcid.org/0000-0002-7815-8129
  • Денис Антонович Бушуев Kyiv National University of Construction and Architecture of Ukraine, ave. Povitroflotskyi 31, Kyiv, Ukraine, 03037, Ukraine https://orcid.org/0000-0001-5340-5165
  • Руслан Федорович Ярошенко Kyiv National University of Construction and Architecture of Ukraine, ave. Povitroflotskyi 31, Kyiv, Ukraine, 03037, Ukraine https://orcid.org/0000-0003-1345-2682

DOI:

https://doi.org/10.15587/2312-8372.2016.74218

Keywords:

methodology, genome methodology model, mechanism of methodology interpretation, ontological knowledge model

Abstract

Many existing methodologies for project management, programs and portfolios, as a rule, are poorly structured, lacks the fullness of knowledge representation and the possibilities of comparative analysis. Development of the structure of project management methodologies based on the idea of the use of the genome code (the double helix) made it possible to create effective modeling tools in the form of ontology knowledge. Formalized genome model of project management methodologies, programs and portfolios of projects comprising methodologies algebra and a set of operations allows realizing the integration of methodologies of project management, programs and portfolios of projects under the corporate governance system. This example for modeling methodologies of project management, programs and portfolios of projects shows the possibility to carry out a comparative analysis, quickly generate or develop new methodologies adapted to the needs of organizations. The results showed the possibility of using genome models in the development of corporate project management systems, programs and portfolios. In this adaptation of the well-known methodologies and their integration into the corporate system is made in a single formal model on the principle of a hypothetical full knowledge of the system.

Author Biographies

Сергей Дмитриевич Бушуев, Kyiv National University of Construction and Architecture of Ukraine, ave. Povitroflotskyi 31, Kyiv, Ukraine, 03037

Doctor of Technical Sciences, Professor, Head of Department

Department of Project Management 

 

Денис Антонович Бушуев, Kyiv National University of Construction and Architecture of Ukraine, ave. Povitroflotskyi 31, Kyiv, Ukraine, 03037

Candidate of Technical Sciences (PhD), Associate Professor

Department of Information Technology

Руслан Федорович Ярошенко, Kyiv National University of Construction and Architecture of Ukraine, ave. Povitroflotskyi 31, Kyiv, Ukraine, 03037

Candidate of Technical Sciences (PhD), Associate Professor

Department of Project Management

References

  1. Greiner, L. E. (1972). Evolution and Revolution as Organizations Grow. Harvard Business Review, Vol. 50, № 4, 37–46.
  2. IPMA Individual Competence Baseline for Project, Programme & Portfolio Management. Version 4. (2015). International Project Management Association, 415.
  3. IPMA Organisational Competence Baseline (IPMA OCB). (2013). International Project Management Association, 67.
  4. Global Alliance for Project Performance Standards. Available: http://www.globalpmstandards.org/
  5. Yaroshenko, F., Bushuyev, S., Tanaka, H. (2012). Guide to management of innovation project and program P2M. Kyiv: Summin Kniga, 272.
  6. Bushuyev, S., Kharitonov, D., Rogozina, V. (2012). Organizational project management pathology. Management of Development of Complex Systems, 10, 5–8.
  7. Bushuyev, S. et al. (2010). Creative technologies project and program management. Kyiv: Summit Kniga, 768.
  8. Bushuyev, S. D., Wagner, R. F. (2014, April). IPMA Delta and IPMA Organisational Competence Baseline (OCB). International Journal of Managing Projects in Business, Vol. 7, № 2, 302–310. doi:10.1108/ijmpb-10-2013-0049
  9. Neizvesnyi, S. (2007). Brain of the Project. Moscow: Russian Science Publisher, 400.
  10. Bushuyev, S. D., Bushuyev, D. A., Rogozina, V. B., Mikhieieva, O. V. (2015, September). Convergence of knowledge in project management. 2015 IEEE 8th International Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications (IDAACS), Vol. 2. Institute of Electrical & Electronics Engineers (IEEE), 496–500. doi:10.1109/idaacs.2015.7341355
  11. Kerzner, H. (2001). Strategic Planning for Project Management Using a Project Management Maturity Model. John Wiley & Sons Inc., 255.
  12. Li-Ping, Q., Xiao-Ping, Y., Yu, S. (2015, October 31). Design for Ontology Knowledge Base Based on Structural Members. International Journal of Database Theory and Application, Vol. 8, № 5, 27–38. doi:10.14257/ijdta.2015.8.5.03
  13. Gruber, T. R. (1995, November). Toward principles for the design of ontologies used for knowledge sharing? International Journal of Human-Computer Studies, Vol. 43, № 5-6, 907–928.doi:10.1006/ijhc.1995.1081
  14. Todorović, M. L., Petrović, D. Č., Mihić, M. M., Obradović, V. L., Bushuyev, S. D. (2015, May). Project success analysis framework: A knowledge-based approach in project management. International Journal of Project Management, Vol. 33, № 4, 772–783. doi:10.1016/j.ijproman.2014.10.009
  15. Managing Successful Programmes. (2007). Office of Government Commerce, UK, 258.

Published

2016-07-26

How to Cite

Бушуев, С. Д., Бушуев, Д. А., & Ярошенко, Р. Ф. (2016). The analyses of project management methodologies based on genome models. Technology Audit and Production Reserves, 4(2(30), 4–12. https://doi.org/10.15587/2312-8372.2016.74218

Issue

Section

Information Technologies: Original Research