Information technology support for management decisions on the portfolio of dual education development projects

Svitlana Kozyr, Valentyna Molokanova

Abstract


The article's subject is information technology for decision-making support in the processes of sustainable development of educational institutions, as well as a model for forming a rational portfolio of dual education development projects. The work aims to improve the efficiency and quality of management decisions when planning dual education learning processes in conditions of uncertainty by creating information technology for decision support using a portfolio model of action areas. This study has several objectives: 1) To develop a model for forming a portfolio, taking into account the hierarchical structure of the projects value criterion and the positions of stakeholders; 2) To formalize the division of project options into groups to which different development strategies should be applied; 3) Create an interactive visualization and dashboard for advanced analysis of candidate projects for the portfolio. Results. Technology is proposed to classify and divide project options into groups to which different strategies should be applied, and a combined portfolio of different directions (vectors) of action should be managed. A heuristic search optimisation methodology synthesizes a new algorithm for identifying and comparing situation characteristics for selecting non-dominated portfolios. Combining multi-criteria decision analysis (MCDA) and visual methodology simplifies evaluating and comparing candidate projects for the strategic portfolio. This makes this approach valuable for a group of developers in practical scenarios. Customised cross-filtering of visual report data using Power BI made it possible to compare projects by stakeholder groups, candidate projects, and those being successfully implemented. This ensured the management of a combined portfolio of different areas (vectors) of action. The proposed technology is demonstrated by selecting strategies for developing dual education projects by employer partners. Data from previous partnerships with regional companies helps the decision-making group adjust project strategies. Recommendations for action can be created even without information about the probability of a scenario. The conclusions of this study can be used in practice in complex decision-making scenarios that consider the interests of various stakeholders in the dual education system, the uncertainty of situations, and the subjectivity of decision-makers.

Keywords


information technology; decision-making; multi-criteria; project portfolio management; mathematical models; heuristic algorithm; dual education

Full Text:

PDF

References


Bugaychuk, V., Buchynska, O., Davlikhanova, O., Kovalchuk, S., Leu-Severinenko, S., Lylik, I., Perevozova, I., Romanov, M., Serik M., & Chaykovska, A. Metodychni rekomendatsiyi shchodo vprovadzhennya dual'noyi formy zdobuttya osvity. [Methodological recommendations for the implementation of dual education]. Kyiv, Vistka LLC Publ., 2023, p. 281. (In Ukrainian) Available at: https://era-ukraine.org.ua/wp-content/uploads/2023/07/DualEdu_Metodychni-rekomendatsii.pdf. (аccessed 06.06.2025).

Chatzichristou, S., Ulicna, D., Murphy, I., & Curth, A. Dual Education - a Bridge over Troubled Waters? European Parliament. 06. 2014.

Davlikanova, O., & Hofstetter, H. The «Duales Studium» Adaptation as an Innovation in Ukrainian Tertiary Education: Management Aspects and Results. Marketing and Management of Innovations, 2020, no. 3, pp. 208-221. DOI: 10.21272/mmi.2020.3-15

Rayter, G., & Davlikanova, O. Introduction of Dual Education in Ukrainian Higher Educational Establishments and Approaches to Estimation of its Economic Benefits. Business Ethics and Leadership, 2017, vol. 1, no. 4, pp. 93-101. DOI: 10.21272/bel.1(4).93-101.2017.

Fiala, P. New trends in project portfolio management. Trendy v podnikání, 2021, vol. 10, no. 3, pp. 4-11. DOI: 10.24132/jbt.2020.10.3.4_11.

Molokanova, V. M., Kuznetsov, V., Kuznetsov, V., Petrenko, V., Krol, A., & Ciekanowski, Z. Implementation of value-oriented project portfolio management for the development of complex system. Journal of Modern Science, 2024, vol. 55, no. 1, pp. 405–429. DOI: 10.13166/jms/186050.

Baumann, T., Doyen, M., Swanger, A., Bayer, D., Cell, A., & Stepke, S. Complexity Twice: Multi-project Environment in Education and Shareholders with Dynamic Agendas - Achieving Mature Decisions and Project/ Portfolio Success. Procedia - Social and Behavioral Sciences, 2016, vol. 226, pp. 470–477. DOI: 10.1016/j.sbspro.2016.06.213.

Nkatha, L. M., & Gitonga, A. K. Drivers of project portfolio management practices influencing performance of county projects: A case of Isiolo County, Kenya. International Academic Journal of Information Sciences and Project Management, 2018, vol. 3, no. 2, pp. 255-271. Available at: https://www.iajournals.org/articles/iajispm_v3_i2_255_271.pdf (аccessed 6.06.2025).

Vilkkumaa, E., Liesiö, J., Salo, A., & Ilmola-Sheppard, L. Scenario-based portfolio model for building robust and proactive strategies. European Journal of Operational Research, 2018, vol. 266, no. 1, pp. 205-220. DOI: 10.1016/j.ejor.2017.09.012.

Liesiö, J., Salo, A., Keisler, J. M., & Morton, A. Portfolio decision analysis: Recent developments and future prospects. European Journal of Operational Research, 2021, vol. 293, no. 3, pp. 811–825. DOI: 10.1016/j.ejor.2020.12.015.

Morton, A., Keisler, J. M., & Salo, A. Multicriteria Portfolio Decision Analysis for Project Selection. In S. Greco, M. Ehrgott, & J. R. Figueira (Eds.), Multiple Criteria Decision Analysis, 2016, vol. 233, pp. 1269–1298). New York, NY: Springer New York. DOI: 10.1007/978-1-4939-3094-4_28.

Kozyr, S., & Sliesariev, V. Algorithm for Selecting and Comparing of Situations Features of Intelligent Decision-Making Support System. Proceedings of the 2021 IEEE 11th International Conference on Advanced Computer Information Technologies (ACIT), Deggendorf, Germany: IEEE. 2021, pp. 657–661. DOI: 10.1109/ACIT52158.2021.9548528.

Sharma, P., Mehlawat, M. K., Gupta, P., & Verma, S. Selecting a health emergency strategy through large-scale multi-criteria decision-making based on intuitionistic fuzzy self-confidence data. Applied Soft Computing, 2025, vol. 176, article no. 113085. DOI: 10.1016/j.asoc.2025.113085.

Jelena, Z., & Dejan, B. Developing an MCDA Model for Choosing Criteria Using for Project Ranking. Economic Computation and Economic Cybernetics Studies and Research, 2022, vol. 56, no. 3/2022, pp. 219-233. DOI: 10.24818/18423264/56.3.22.14.

Varshney, S., Sandhu, R., & Gupta, P. K. Multicriteria decision-making in health informatics using IoT. In IoT-Based Data Analytics for the Healthcare Industry, Elsevier, 2021, pp. 105-121. DOI: 10.1016/B978-0-12-821472-5.00014-4.

Mavrotas, G., & Makryvelios, E. R&D project portfolio selection using the Iterative Trichotomic Approach in order to study how subjectivity of the weights is reflected in the selected projects of the final portfolio. Operational Research, 2023, vol. 23, article no. 50. DOI: 10.1007/s12351-023-00785-7.

Kozyr, S. V., & Molokanova, V. M. Formuvannya kompleksnoyi otsinky rivnya tsinnosti proyektiv dual'noyi osvity [Comprehensively assessing the value level of dual education projects]. Upravlinnya rozvytkom skladnykh system Management of Development of Complex Systems, 2024, vol. 57, pp. 83-95. DOI: 10.32347/2412-9933.2024.57.83-95. (In Ukrainian).

Kaufmann, A., & Gupta, M. M. Introduction to Fuzzy Arithmetic: Theory and Applications. New York: Van Nostrand Reinhold, 1985, article no. 361.

Kozyr, S. V., & Molokanova, V. M. Application of fuzzy evolutionary methods for the development of dual-education projects. Herald of Advanced Information Technology, 2022, vol. 5, no. 4, pp. 325-341. DOI: 10.15276/hait.05.2022.24

Liesiö, J., & Salo, A. Scenario-based portfolio selection of investment projects with incomplete probability and utility information. European Journal of Operational Research, 2012, vol. 217, no. 1, pp. 162-172. DOI: 10.1016/j.ejor.2011.08.025.

Liesiö, J., Mild, P., & Salo, A. Robust portfolio modeling with incomplete cost information and project interdependencies. European Journal of Operational Research, 2008, vol. 190, no. 3, pp. 679-695. DOI: 10.1016/j.ejor.2007.06.049.

Nowak, M. Project Portfolio Selection Using Interactive Approach. Procedia Engineering, 2013, vol. 57, pp. 814-822. DOI: 10.1016/j.proeng.2013.04.103.

Us, S.A., Koriashkina, L.S., & Zuyenok, I. I. Models and methods of making decisions: a coursebook. Dnipro. Dniprotech, 2019, article no. 304. Available at: https://ir.nmu.org.ua/handle/123456789/154568 (аccessed 06.06.2025).




DOI: https://doi.org/10.32620/reks.2026.1.01

Refbacks

  • There are currently no refbacks.