ITPM 2024: pp. 11 - 25

Sergiy Rudenko

Varvara Piterska

Tetiana Kovtun

1 Odesa National Maritime University, 34, Mechnikov str., Odesa, 65026, Ukraine

2 Odesa National Maritime University, 34, Mechnikov str., Odesa, 65026, Ukraine

3 Odesa National Maritime University, 34, Mechnikov str., Odesa, 65026, Ukraine

Abstract 

The article is directed to the development of an information-analytical system for evaluating the activity of scientific-pedagogical staff based on KPIs at the Odesa National Maritime University. To realize the goal, the mission of Odesa National Maritime University was defined, the mechanisms of project management of the university were developed based on key performance indicators, the algorithm for the functioning of the information-analytical system at the university was determined, and the technical task for the information-analytical system for evaluating the activity of scientificpedagogical staff was developed based on KPIs at Odesa National Maritime University. It was proposed to include basic and additional KPIs in the database of the information system. The development of an information-analytical system for evaluating the activities of the scientificpedagogical staff of the university corresponds to the main directions of the development of the university, namely, the direction of informatization, management of the institution of higher education and personnel potential, improvement of the educational process, increasing the efficiency of scientific research and innovation. The result of the implementation of the information-analytical system for evaluating the activity of scientific-pedagogical staff based on KPIs is the improvement of the efficiency of the scientific-pedagogical work of university employees and the expansion of the scope of the use of information technologies and the project approach in the management of a higher education institution.

Keywords

Information-Analytical System, Project Management, Technical Specification, Key Performance Indicators, University, Algorithm

References

[1] L. McCann, N. Hutchison, A. Adair, The role of UK universities as economic drivers in a
localization agenda: A case study of City Deals, Land Use Policy 134 (2023). doi:
10.1016/j.landusepol.2023.106938.
[2] Z. Song, Y. Wu, J. Hao, G. Cui, Q. Guan, Cloud computing-oriented big data analysisbased
intelligent university talent development mechanism, Computers and Electrical
Engineering 110 (2023). doi: 10.1016/j.compeleceng.2023.108828.
[3] L. D. Patrício, J. J. Ferreira, Aligning entrepreneurial universities’ HEInnovate dimensions
with entrepreneurs’ needs: A graduate entrepreneur-centered perspective, IJME 21 3
(2023). doi: 10.1016/j.ijme.2023.100882.
[4] A. Starostina, V. Bugrov, V. Kravchenko, G. Gatto, N. Kochkina, Entrepreneurial
university: Exploring its essence, phases of development, and operating mechanism during
wartime in Ukraine, IJED 103 (2023). doi: 10.1016/j.ijedudev.2023.102895.
[5] A. Y. Al Gharsi, F. A. Belhaj, R. Nirmala, F. A. Alhada, Unleashing the university
potential: Exploring the impact of staffing autonomy on organizational performance
through strategy implementation, International Journal of Educational Research Open 6
(2024). doi: 10.1016/j.ijedro.2024.100324.
[6] H. Bashir, Z. C. Araci, K. Obaideen, I. Alsyouf, An approach for analyzing and visualizing
the relationships among key performance indicators for creating sustainable campuses in
higher education institutions, ESI 19 (2023). doi: 10.1016/j.indic.2023.100267.
[7] A. N. Rodrigues da Silva, F. M. Tan, P. Brilhante de Sousa, Key sustainable mobility
indicators for university campuses, Environmental and Sustainability Indicators (2024).
doi: 10.1016/j.indic.2024.100371.
[8] I. Iddrisu, Influence of staff performance on public university operations: Examining
motivation and retention factors, Social Sciences & Humanities Open 8 1 (2023). doi:
10.1016/j.ssaho.2023.100744.
[9] J. J. da Cunha, M. C. de Souza, A linearized model for academic staff assignment in a
Brazilian university focusing on performance gain in quality indicators, IJPE 197 (2018)
43–51. doi: 10.1016/j.ijpe.2017.12.010.
[10] S. Kumar, U. Goel, P. Joshi, A. Johri, Factors affecting ICT adoption among MSMEs,
Journal of Open Innovation: Technology, Market, and Complexity 10 1 (2024). doi:
10.1016/j.joitmc.2023.100205.
[11] T. Dyda, N. Kunanets, R. Vaskiv, D. Dauletiya, S. Chernov, L. Chernova, L. Chernova,
The “Study Easy” Information System, Procedia Computer Science 231 (2024) 678-683.
doi: 10.1016/j.procs.2023.12.162.
[12] S. Bushuyev, S. Murzabekova, M. Khusainova, O. Chernysh, Clip thinking in the digital
age: complementary or contradictory, Procedia Computer Science 231 (2024) 317-322.
doi: 10.1016/j.procs.2023.12.210.
[13] S. Bushuyev, D. Bushuiev, V. Bushuieva, N. Bushuyeva, S. Murzabekova, The Erosion of
Competencies in Managing Innovation Projects due to the Impact of Ubiquitous Artificial
Intelligence Systems, PCS 231 (2024) 403-408.
[14] S. Bushuyev, V. Bushuieva, S. Onyshchenko, A. Bondar, Modeling the dynamics of
information panic in society. COVID-19 case, CEUR Workshop Proceedings 2864 (2021)
400 – 408.
[15] A. Biloshchytskyi, S. Omirbayev, A. Mukhatayev, S. Biloshchytska, S. Toxanov, A.
Faizullin, The concept of the Internet of Things in the development of information and
analytical systems based on the method of constructing a scalar assessment of the results of
research activities of scientists, PCS 231 (2024) 684-690. doi:
10.1016/j.procs.2023.12.161.
[16] Taras Dyda, Nataliia Kunanets, Roman Vaskiv, Daniyar Dauletiya, Sergiy Chernov,
Ludmila Chernova, Lubava Chernova, The “Study Easy” Information System, Procedia
Computer Science 231 (2024) 678-683. doi: 10.1016/j.procs.2023.12.162.
[17] Kamakhya Narain Singh, Jibendu Kumar Mantri, An intelligent recommender system
using machine learning association rules and rough set for disease prediction from
incomplete symptom set, Decision Analytics Journal 11 (2024) 100468. doi:
10.1016/j.dajour.2024.100468.
[18] R. Trach, S. Bushuyev, Analysis of communication network of the construction project
participants, Scientific Review Engineering and Environmental Sciences 29 (3) (2020) 388
– 396. doi: 10.22630/PNIKS.2020.29.3.33.
[19] A. Voitushenko, S. Bushuyev, Development of project managers’ creative potential:
Determination of components and results of research, Advances in Intelligent Systems and
Computing 1080 (2020) 283 – 292. doi: 10.1007/978-3-030-33695-0_20.
[20] O. Zachko, Methodological basis of safety-oriented management of complex systems
development projects, Management of complex systems development 23 (1) (2020) 51-55.
[21] O. Kyryllova, V. Shakhov, O. Rossomakha, O. Lozytskyy, S. Zakrevskyi, V. Piterska,
Evaluation of the Quality of Research Projects of Universities of Transport Engineering
Based on the Portfolio Management Information System, in: 2023 IEEE 18th International
Conference on Computer Science and Information Technologies (CSIT), Lviv, Ukraine,
2023, pp. 1-4, doi: 10.1109/CSIT61576.2023.10324064.
[22] V. Piterska, V. Samoilovska, V. Adakhovskyi, Assessment of Port Concession Projects
Quality Based on the Information and Analytical Risk Management System, in:
Proceedings of the 4th International Workshop IT Project Management (ITPM 2023),
CEUR Workshop Proceedings, 2023, vol. 3453, pp. 71-81.
[23] V. Samoilovska, O. Kyryllova, V. Piterska, Model for Evaluating the Efficiency of
Seaports Development Projects Based on the Quality 4.0 Information and Analytical
System, in: Proceedings of the 4th International Workshop IT Project Management (ITPM
2023), CEUR Workshop Proceedings, 2023, vol. 3453, pp. 1-12.
[24] A. Bondar, S. Bushuyev, S. Onyshchenko, H. Tanaka, Entropy paradigm of projectoriented
organizations management, in: Proceedings of the 1st International Workshop
ITPM 2020, 2020, CEUR Workshop Proceedings, vol. 2565, 2020, pp. 233-243.
[25] S. Bushuyev, S. Onyshchenko, N. Bushuyeva and A. Bondar, “Modelling projects portfolio
structure dynamics of the organization development with a resistance of information
entropy,” 2021 IEEE 16th International Conference on CSIT, 2021, pp. 293-298, doi:
10.1109/CSIT52700.2021.9648713.
[26] O. Sherstyuk, T. Olekh, and K. Kolesnikova, The research on role differentiation as a
method of forming the project team, EEJET 2 3(80) (2016) 63–68.
[27] V. Piterska, A. Shakhov, O. Lohinov and L. Lohinova, The Method of Human Resources
Management of Educational Projects of Institution of Higher Education, in: 2020 IEEE
15th International Conference on Computer Sciences and Information Technologies
(CSIT), 2020, pp. 123-126, doi: 10.1109/CSIT49958.2020.9321912.
[28] V. Piterska, A. Shakhov, O. Lohinov and L. Lohinova, The Method of Transfer of
Research Project Results of Institution of Higher Education, in: 2019 IEEE 14th
International Conference on Computer Sciences and Information Technologies (CSIT),
2019, pp. 77-80, doi: 10.1109/STC-CSIT.2019.8929887.
[29] V. Piterska, D. Lohinov and L. Lohinova, Risk Management Mechanisms in Higher
Education Institutions Based on the Information Support of Innovative Projects, in: 2022
IEEE 17th International Conference on Computer Sciences and Information Technologies
(CSIT), 2022, pp. 410-413, doi: 10.1109/CSIT56902.2022.10000551.
[30] O. Kyryllova, V. Piterska, O. Sagaydak, O. Lohinov, L. Lohinova, Conceptual model of
educational project management related to maritime transport in higher education
institutions, in: Proceedings of the 3rd International Workshop IT Project Management
(ITPM 2022), CEUR Workshop Proceedings, 2022, 3295, pp. 138–148.
[31] S. Rudenko, A. Shakhov, V. Piterska, L. Chernova and O. Sherstiuk, Application of
balanced scorecard for managing university development projects, in: 2021 IEEE 16th
International Conference on Computer Sciences and Information Technologies (CSIT),
2021, pp. 311-314, doi: 10.1109/CSIT52700.2021.9648580.
[32] O. Shumylo, V. Yarovenko, M. Malaksiano, O. Melnyk, Comprehensive Assessment of
Hull Geometry Influence of a Modernized Ship on Maneuvering Performance and
Propulsion System Parameters, Pomorstvo 37(2) (2023) 314–325. doi: 10.31217/p.37.2.13.
[33] V. Romanuke A. Romanov, M. Malaksiano, A Crossover Operators in a Genetic Algorithm
for Maritime Cargo Delivery Optimization, Journal of ETA Maritime Scienc 10(4)
(2022) 223–236. doi: 10.4274/jems.2022.80958.
[34] V. Romanuke, A. Romanov, M. Malaksiano, Pseudorandom number generator influence
on the genetic algorithm performance to minimize maritime cargo delivery route length,
Pomorstvo 36(2) (2022) 249–262. doi: 10.31217/p.36.2.9.
[35] A. Tryhuba, O. Bashynsky, Coordination of dairy workshops projects on the community
territory and their project environment, in: 2019 IEEE 14th International Conference on
CSIT, 2019, pp. 51-54, doi: 10.1109/STC-CSIT.2019.8929816.
[36] A. Tryhuba and O. Bashynsky, Coordination of dairy workshops projects on the
community territory and their project environment, in: 2019 IEEE 14th International
Conference on CSIT, 2019, pp. 51-54, doi: 10.1109/STC-CSIT.2019.8929816.
[37] D. Kobylkin, O. Zachko, R. Ratushny, A. Ivanusa, C. Wolff, Models of content
management of infrastructure projects mono-templates under the influence of project
changes, CEUR Workshop Proceedings, vol. 2851, 2021, pp. 106-115.
[38] B. S. Akhmetov, V. Lakhno, B. B. Akhmetov, A. Zhilkishbayev, N. Izbasova, O.
Kryvoruchko, A. Desiatko, Application of a Genetic Algorithm for the Selection of the
Optimal Composition of Protection Tools of the Information and Educational System of
the University, PCS 215 (2022) 598-607. doi: 10.1016/j.procs.2022.12.062.
[39] S. Guzmán-Castillo, F. Körner, J. I. Pantoja-García, L. Nieto-Ramos, Y. Gómez-Charris,
A. Castro-Sarmiento, A. R. Romero-Conrado, Implementation of a Predictive Information
System for University Dropout Prevention, PCS 198 (2022) 566-571.
[40] P. Udupa, Application of artificial intelligence for university information system, EAAI
114 (2022). doi: 10.1016/j.engappai.2022.105038

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