Development of a method for assessing the quality of project management processes based on the entropy approach

Authors

DOI:

https://doi.org/10.15587/2706-5448.2022.251952

Keywords:

entropy management concept, quality of management processes, project management, project success, network model

Abstract

The object of this research is to assess the quality of project management processes. The conducted research is aimed at developing a method for assessing the quality of project management processes in accordance with modern requirements for management and its results. The study is based on the entropy concept of management, and entropy is considered as an integral indicator for assessing the quality of management processes, characterizing the «controllability» of the project and «confidence» in certain results of the project.

It is proposed to use information entropy as an indicator of management quality, which is understood as the ability to assess and minimize, through preventive or adaptive measures, uncertainty or negative impact from outside and inside on the project, that is, to ensure the success of the project.

The main factors influencing the level of entropy of the project are determined. It is substantiated that the role of management is to counteract entropy and create such conditions for the implementation of the project, under which its level tends to be acceptable. Only under this condition can the quality of management be defined as «high level» or «sufficiently high level». A scale for assessing the entropy level of a project is proposed, which is substantiated by experimental studies of the entropy level of various projects.

The concept of «entropy index» of the project is introduced into consideration, as a relative indicator of the level of entropy of the project. The proposed approach is illustrated on the example of a specific project, which substantiated the adequacy of the results of applying the approach to the logic and experience of project implementation, and also demonstrated the practical applicability of the approach for assessing the level of project entropy and management quality.

The results obtained make it possible to assess the quality of management processes at each stage of the project life cycle in order to identify problems early; and also form a theoretical basis for the further development of tools to ensure and improve the quality of project management processes.

Author Biography

Alesia Obronova, Odessa National Maritime University

Postgraduate Student

Department of Logistics Systems and Project Management

References

  1. A Guide to the Project Management Body of Knowledge (PMBOK® Guide) (2013). Project Management Institute, 586.
  2. Nicholas, J. M., Steyn, H. (2012). Project Quality Management. Project Management for Engineering, Business, and Technology. Cape Town, 320–350. doi: http://doi.org/10.1016/b978-0-08-096704-2.50020-x
  3. Kenneth, R. (2005). Project Quality Management: Why, What and How. Boca Raton: J. Ross Pub, 193.
  4. Al Shraah, A., Abu-Rumman, A., Al Madi, F., Alhammad, F. A. F., AlJboor, A. A. (2021). The impact of quality management practices on knowledge management processes: a study of a social security corporation in Jordan. The TQM Journal. doi: http://doi.org/10.1108/tqm-08-2020-0183
  5. Taghipour, M., Shamami, N., Lotfi, A., Parvaei, M. S. (2020). Evaluating Project Planning and Control System in Multi-project Organizations under Fuzzy Data Approach Considering Resource Constraints (Case Study: Wind Tunnel Construction Project). Management, 3, 29–46.
  6. Pellerin, R., Perrier, N. (2018). A review of methods, techniques and tools for project planning and control. International Journal of Production Research, 57 (7), 2160–2178. doi: http://doi.org/10.1080/00207543.2018.1524168
  7. Nusraningrum, D., Jaswati, J., Thamrin, H. (2020). The quality of it project management: the business process and the go project lean application. Manajemen Bisnis, 10 (1), 10–23. doi: http://doi.org/10.22219/jmb.v10i1.10808
  8. Zulu, S., Brown, A.; Greenwood, D. J. (Ed.) (2003). Project management process quality: a conceptual measurement model. 19th Annual ARCOM Conference. Association of Researchers in Construction Management, 2, 485–493.
  9. Prangishvili, I. V. (2003). Entropiinye i drugie sistemnye zakonomernosti. Voprosy upravleniia slozhnymi sistemami. Moscow: Nauka, 432.
  10. Stepanić, J., Sabol, G., Stjepan Žebec, M. (2005). Describing social systems using social free energy and social entropy. Kybernetes, 34 (6), 857–868. doi: http://doi.org/10.1108/03684920510595535
  11. Jung, J.-Y., Chin, C.-H., Cardoso, J. (2011). An entropy-based uncertainty measure of process models. Information Processing Letters, 111 (3), 135–141. doi: http://doi.org/10.1016/j.ipl.2010.10.022
  12. Han, W., Zhu, B. (2017). Research on New Methods of Multi-project Based on Entropy and Particle Swarm Optimization for Resource Leveling Problem. Proceedings of the 2017 2nd International Symposium on Advances in Electrical, Electronics and Computer Engineering (ISAEECE 2017), 124, 215–221. doi: http://doi.org/10.2991/isaeece-17.2017.40
  13. Rong, J., Hongzhi, L., Jiankun, Y., Tao, F., Chenggui, Z., Junlin, L. (2009). A model based on information entropy to measure developer turnover risk on software project. 2nd IEEE International Conference on Computer Science and Information Technology. Beijing, 419–422. doi: http://doi.org/10.1109/iccsit.2009.5234813
  14. Averin, G. V., Zvyagintseva, A. V. (2016). On the relationship of statistical and information entropy in the description of the states of complex systems. Scientific Bulletin of the Belgorod State University. Series: Mathematics. Physics, 44 (20 (241)).
  15. Bondar, A., Onyshсhenko, S., Vishnevskyi, D., Vishnevska, O., Glovatska, S., Zelenskyi, A. (2020). Constructing and investigating a model of the energy entropy dynamics of organizations. Eastern-European Journal of Enterprise Technologies, 3 (3 (105)), 50–56. doi: http://doi.org/10.15587/1729-4061.2020.206254
  16. Bondar, А., Bushuyeva, N., Bushuyev, S., Onyshchenko, S. (2020). Modelling of Creation Organisational Energy-Entropy. 2020 IEEE 15th International Conference on Computer Sciences and Information Technologies (CSIT), 141–145.
  17. Bushuyev, S., Bushuieva, V., Onyshchenko, S., Bondar, A. (2021). Modeling the dynamics of information panic in society. COVID-19 case. CEUR Workshop Proceedings, 2864, 400–408. Available at: http://ceur-ws.org/Vol-2864/paper35.pdf
  18. Bondar, A., Bushuyev, S., Bushuieva, V., Onyshchenko, S. (2021). Complementary strategic model for managing entropy of the organization. CEUR Workshop Proceedings. Available at: http://ceur-ws.org/Vol-2851/paper27.pdf
  19. Bondar, А., Bushuyeva, N., Bushuyev, S., Onyshchenko, S. (2021). Modelling of creation organisations energy-entropy. 2021 IEEE International Conference on Smart Information Systems and Technologies (SIST). doi: http://doi.org/10.1109/sist50301.2021.9465911
  20. Bondar, A., Bushuyev, S., Bushuieva, V., Bushuyeva, N., Onyshchenko, S. (2021). Action-Entropy Approach to Modeling of ‘Infodemic-Pandemic’ System on the COVID – 19 Cases. Advances in Intelligent Systems and Computing. Cham: Springer, 890–903. doi: http://doi.org/10.1007/978-3-030-63270-0_61
  21. Pavlova, N., Onyshсhenko, S., Obronova, A., Chebanova, T., Andriievska, V. (2021). Creating the agile-model to manage the activities of project-oriented transport companies. Eastern-European Journal of Enterprise Technologies, 1 (3 (109)), 51–59. doi: http://doi.org/10.15587/1729-4061.2021.225529
  22. Domina, O. (2020). Selection of alternative solutions in the optimization problem of network diagrams of project implementation. Technology Audit and Production Reserves, 4 (4 (54)), 9–22. doi: http://doi.org/10.15587/2706-5448.2020.210848
  23. Domina, O. (2020). Features of finding optimal solutions in network planning. EUREKA: Physics and Engineering, 6, 82–96. doi: http://doi.org/10.21303/2461-4262.2020.001471
  24. Onischenko, S. P., Arabadzhi, E. S. (2011). Struktura, tsel, produkt i tsennost programm razvitiia predpriiatii. Vіsnik Odeskogo natsіonalnogo morskogo unіversitetu, 33, 175–186.

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Published

2022-01-31

How to Cite

Obronova, A. (2022). Development of a method for assessing the quality of project management processes based on the entropy approach. Technology Audit and Production Reserves, 1(4(63), 6–11. https://doi.org/10.15587/2706-5448.2022.251952

Issue

Vol. 1 No. 4(63) (2022): Economics of enterprises. Macroeconomics

Section

Economics and Enterprise Management: Reports on Research Projects

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