EMPOWERING ECONOMICS EDUCATION: EXPLORING ERP INTEGRATION THROUGH SEM IN UKRAINE

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Published: Jul 31, 2026

  Yurii Koroliuk

  Olha Vdovichena

  Anatolii Vdovichen

Abstract

The purpose of the paper is to analyze the relationships between digital skills of participants in the educational process, their readiness for digital transformation, and the barriers to technology integration in economic education in Ukraine, with a particular focus on the implementation of enterprise resource planning (ERP) systems. The study also aims to examine how awareness of digital technologies and perceptions of their benefits influence educational outcomes and professional preparedness. Methodology. The research employs structural equation modeling (SEM) to investigate the relationships between key constructs, including technology awareness, perceived usefulness, educational readiness, digital skills, barriers to implementation, readiness for change, and students’ preparedness for professional activity. The empirical analysis is based on a dataset of 256 respondents (ID 1–256) collected through an online survey conducted between May and August 2025 among individuals involved in economic education in Ukraine. The questionnaire was designed to assess respondents’ awareness, perceptions, and readiness to integrate modern digital technologies (AI, blockchain, ERP, RPA, and digital educational platforms) into the training of economic specialists, as well as the availability of technological resources at the university level. The survey included 33 Likert-scale items covering demographic characteristics, professional experience, digital competencies, attitudes toward emerging technologies, access to infrastructure, alignment of curricula with labour market needs, and barriers to technology integration. The instrument provided both quantitative and qualitative insights into participants’ experiences. Results. The findings demonstrate that digital competencies and perceived usefulness of technologies significantly influence readiness for digital transformation and learning effectiveness. Organizational support and systematic user training are identified as critical success factors for ERP implementation. Furthermore, technology awareness and readiness for change mediate the relationship between digital skills and students’ preparedness. The integration of ERP systems enhances practical competencies in business process management and strengthens analytical thinking. Practical implications. The results provide a foundation for improving economic education through the systematic integration of ERP systems into curricula. The study highlights the importance of investing in digital skills development, academic staff training, and institutional support mechanisms to ensure effective technology adoption and alignment with labour market demands. Value / originality. The paper contributes to the literature by offering an integrated empirical SEM-based model linking digital competencies, ERP adoption, and educational outcomes in the context of Ukraine, providing a scientifically grounded approach to modernising economic education and enhancing graduates’ competitiveness in the global labour market.

How to Cite

Koroliuk, Y., Vdovichena, O., & Vdovichen, A. (2026). EMPOWERING ECONOMICS EDUCATION: EXPLORING ERP INTEGRATION THROUGH SEM IN UKRAINE. Baltic Journal of Economic Studies, 12(3), 410-420. https://doi.org/10.30525/2256-0742/2026-12-3-410-420
Article views: 12 | PDF Downloads: 5

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Keywords

digital technologies, economic education, digital transformation, ERP systems, structural equation modeling (SEM), digital skills, labor market, Ukraine

References

Abele, E., Metternich, J., Tisch, M., Chryssolouris, G., Sihn, W., ElMaraghy, H., Hummel, V., & Ranz, F. (2015). Learning Factories for Research, Education, and Training. Procedia CIRP, 32, 1–6. DOI: https://doi.org/10.1016/j.procir.2015.02.187

Bamufleh, D., Almalki, M. A., Almohammadi, R., & Alharbi, E. (2021). User Acceptance of Enterprise Resource Planning (ERP) Systems in Higher Education Institutions: A Conceptual Model. International Journal of Enterprise Information Systems (IJEIS), 17(4), 138–157. https://doi.org/10.4018/IJEIS.20211001.oa1

Basyuk, N., Hordiienko, O., Dmytruk, O., Marushchak, O., & Miroshnychenko, O. (2023). Socionomic factors of the creation educational environment of the institution higher education as a condition for the formation of professional competences of future specialists’ socionomic professions. Financial and Credit Activity-Problems of Theory and Practice, 1(48), 461–472. https://doi.org/10.55643/fcaptp.1.48.2023.3950

Broccardo, L., Zicari, A., Jabeen, F., & Bhatti, Z. A. (2023). How digitalization supports a sustainable business model: a literature review. Technological Forecasting and Social Change, 187, Article 122146. https://doi.org/10.1016/j.techfore.2022.122146

Budnik, S., Macaulay, M. T., & O’Donnell, R. (2017). Digital transformation: How advanced technologies are impacting financial reporting and auditing. KPMG. https://home.kpmg/content/dam/kpmg/us/pdf/2017/08/KPMG Forbes Digital Transformation report.pdf

Cidral, W. A., Oliveira, T., Di Felice, M., & Aparicio, M. (2018). E-learning success determinants: Brazilian empirical study. Computers & Education, 122(3):273–290. https://doi.org/10.1016/j.compedu.2017.12.001

Cristache, N., Pricopoaia, O., Nastase, M., Dobrea, R. C., Ibinceanu, M. O., & Coroban, L. (2024). The Impact of Digitalisation on The Performance of Companies at National Level. Economic Computation and Economic Cybernetics Studies and Research, 58(2), 182–197. https://doi.org/10.24818/18423264/58.2.24.11

Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly, 13(3), 319–340.

Dima, A. M., Grabara, J. K., Vătămănescu, E.-M., & Maier, D. (2023). Mapping Knowledge Area Analysis in E-Learning Systems Based on Cloud Computing. Sustainability, 15(6), 4871. https://doi.org/10.3390/su15064871

Eccles, J. S., & Wigfield, A. (2002). Motivational beliefs, values, and goals. Annual Review of Psychology, 53(1), 109–132.

European Commission. (n.d.). Digital Education Action Plan. Education and Training. https://education.ec.europa.eu/focus-topics/digital-education/plan

Fornell, C., & Larcker, D. F. (1981). Evaluating structural equation models with unobservable variables and measurement error. Journal of Marketing Research, 18(1), 39–50. https://doi.org/10.2307/3151312

Goodhue, D. L., & Thompson, R. L. (1995). Task-technology fit and individual performance. MIS Quarterly, 19(2), 213–236.

Grosseck, G., Bran, R. A., & Tîru, L. G. (2024). Digital Assessment: A Survey of Romanian Higher Education Teachers’ Practices and Needs. Education Sciences, 14 (1), 32. https://doi.org/10.3390/educsci14010032

Grosu, V., Cosmulese, C. G., Socoliuc, M., Ciubotariu, M. S., & Mihaila, S. (2023). Testing accountants’ perceptions of the digitization of the profession. Technological Forecasting and Social Change, 193, 122630. https://doi.org/10.1016/j.techfore.2023.122630

Hu, L. T., & Bentler, P. M. (1999). Cutoff criteria for fit indexes in covariance structure analysis. Structural Equation Modeling, 6(1), 1–55.

Hudrea, A., Spoaller, D., & Urs, N. (2023). Digital Tools in Romanian Higher Education. Transylvanian Review of Administrative Sciences, (69E), 44–63. https://doi.org/10.24193/tras.69E.3

Jan-Bert Maas, Paul C. van Fenema, Joseph Soeters (2016). ERP as an organizational innovation: key users and cross-boundary knowledge management. Journal of Knowledge Management, 9 May 2016; 20 (3): 557–577. https://doi.org/10.1108/JKM-05-2015-0195

Jeffrey, L., Hegarty, B., Kelly, O., Penman, M., Coburn, D., & McDonald, J. (2011). Developing digital information literacy in higher education: Obstacles and supports. Journal of Information Technology Education: Research, 10, 383–413. https://doi.org/10.28945/1532

Jović, M., Kostic Stankovic, M., & Neskovic, E. (2017). Factors Affecting Students’ Attitudes towards E-Learning. Management: Journal of Sustainable Business and Management Solutions in Emerging Economies, 22(2), 73–80. https://doi.org/10.7595/management.fon.2017.0016

Kaewsaiha, P., Chanchalor, S. (2021). Factors affecting the usage of learning management systems in higher education. Educ Inf Technol 26, 2919–2939. https://doi.org/10.1007/s10639-020-10374-2

Kis, N., Bano, Y., & Naumov, O. (2023). ERP systems in higher education: Benefits and challenges. Sustainability, 15 (23), 16167. https://doi.org/10.3390/su152316167

Kline, R. B. (2016). Principles and practice of structural equation modeling (4th ed.). Guilford Press.

KPMG & Forbes Insights. (2021). Future Proofed: How technology is driving change in finance and audit: Insights from the 2021 KPMG finance and audit technology survey. KPMG. https://kpmg.com/kpmg-us/content/dam/kpmg/pdf/2021/kpmg-future-proofed.pdf

Kudrina, O., Riznyk, V., & Ivchenko, Y. (2024). Economic education under the influence of information technology: Analysis of the bibliographic landscape. Baltic Journal of Economic Studies, 10(2), 140–145. https://doi.org/10.30525/2256-0742/2024-10-2-140-145

Lavinia Barna, L. –. E., & Enăchescu, V. A. (2023). ERP System Application in the Education Environmental. In E. Soare, & C. Langa (Eds.), Education Facing Contemporary World Issues – EDU WORLD 2022, vol. 5. European Proceedings of Educational Sciences (pp. 537-542). European Publisher. https://doi.org/10.15405/epes.23045.55

Leem, C. S., & Kim, B. W. (2016). ERP as an organizational innovation: Key users and cross-boundary knowledge management. Journal of Knowledge Management, 20 (3), 557–577. https://www.emerald.com/jkm/article-abstract/20/3/557/264096/ERP-as-an-organizational-innovation-key-users-and

Leshchenko, M.P.; Kolomiiets, A.M.; Iatsyshyn, A.V.; Kovalenko, V.V.; Dakal, A.V.; Radchenko, O.O. Development of informational and research competence of postgraduate and doctoral students in conditions of digital transformation of science and education. J. Physics Conf. Ser. 2021, 1840, 012057. https://doi.org/10.1088/1742-6596/1840/1/012057

Mara, D., Mara, E.L., Bocos, M., Rad, D., Hunyadi, D., Vanu, A., & Marcu, R. (2024). Are Digital Education Resources meeting the preliminary needs of "R.E.D. Teacher Education" project? Revista Romaneasca Pentru Educatie Multidimensionala, 16(4), 70–96. https://doi.org/10.18662/rrem/16.4/908

McDonald, R. P. (1999). Test theory: A unified treatment. Lawrence Erlbaum Associates.

Mekonnen, Tigist; Lessa, Lemma; and Negash, Solomon, "Respecifying DeLone and McLean Information Systems Success Model for Measuring ERP System Post-implementation Success" (2022). AMCIS 2022 Proceedings. 2. https://aisel.aisnet.org/amcis2022/sig_entsys/sig_entsys/2

Mihai, L., Manescu, L. G., Vasilescu, L., Bandoi, A., & Sitnikov, C. (2024). A Systematic Analysis of New Approaches to Digital Economic Education Based on the Use of AI Technologies. Amfiteatru Economic, 26(65), 201–219. https://doi.org/10.24818/EA/2024/65/201

Muñoz Carril, Pablo & Hernández, Nuria & Fuentes-Abeledo, Eduardo-José & Gonzalez-Sanmamed, Mercedes. (2021). Factors influencing students’ perceived impact of learning and satisfaction in Computer Supported Collaborative Learning. Computers & Education. 174. https://doi.org/10.1016/j.compedu.2021.104310

Nunnally, J. C. (1978). Psychometric theory (2nd ed.). McGraw-Hill.

Pei-Hung Ju, Hsiao-Lan Wei, Chung-Che Tsai (2016). Model of post-implementation user participation within ERP advice network. Asia Pacific Management Review, 21(2), 92–101. https://doi.org/10.1016/j.apmrv.2015.11.001

Petrescu, G. D., Preda, A. L., Radu, A. C., Ulmet, L. A., & Radu, A. V. (2025). Evaluating Medical Students’ Satisfaction with E-Learning Platforms During the COVID-19 Pandemic. Social Sciences-Basel, 14(3), 160. https://doi.org/10.3390/socsci14030160

Petter, S., DeLone, W., & McLean, E. R. (2013). Information Systems Success: The Quest for the Independent Variables. Journal of Management Information Systems, 29(4), 7–62. https://doi.org/10.2753/MIS0742-1222290401

Punie, Y., editor(s), Redecker, C., European Framework for the Digital Competence of Educators: DigCompEdu , EUR 28775 EN, Publications Office of the European Union, Luxembourg, 2017, ISBN 978-92-79-73718-3 (print), 978-92-79-73494-6 (pdf), doi:10.2760/178382 (print), 10.2760/159770 (online), JRC107466. https://data.europa.eu/doi/10.2760/159770

Qureshi, M.I.; Khan, N.; Raza, H.; Imran, A.; Ismail, F. (2021). Digital Technologies in Education 4.0. Does it Enhance the Effectiveness of Learning? A Systematic Literature Review. Int. J. Interact. Mob. Technol., 15, 31–47. https://doi.org/10.3991/ijim.v15i04.20291

Raveica, I. C., Olaru, I., Herghelegiu, E., Tampu, N. C., Radu, M. C., Chirita, B. A., et al. (2024). The Impact of Digitalization on Industrial Engineering Students’ Training. Sustainability, 16(17), 7499. https://doi.org/10.3390/su16177499

Schlichter, J., & Kraemmergaard, P. (2010). A comprehensive literature review of the ERP research field over a decade. Journal of Enterprise Information Management, 23 (4), 486–520. https://doi.org/10.1108/17410391011061780

Shih, Y.-Y., & Huang, S.-S. (2019). The actual usage of ERP systems: An extended technology acceptance perspective. Computers in Human Behavior, 99, 389–399. https://www.sciencedirect.com/science/article/abs/pii/S0747563219302912

Tsymbal, L., & Kalenyuk, I. (2023). Digital transformation of the global education market. Baltic Journal of Economic Studies, 9(5), 266–274. https://doi.org/10.30525/2256-0742/2023-9-5-266-274

Voronkova, V., Nikitenko, V., & Vasyl'chuk, G. (2023). Foreign experience in implementing digital education in the context of digital economy transformation. Baltic Journal of Economic Studies, 9(3), 56–65. https://doi.org/10.30525/2256-0742/2023-9-3-56-65

Zabukovšek, S. S., Štrukelj, T., Tominc, P., & Bobek, S. (2020). Factors Influencing Attitudes of Students Toward ERP Systems as Computer-Aided Learning Environments. https://doi.org/10.4018/978-1-7998-2708-5.ch021

Zhen Zhu, Jing Zhao, Xinlin Tang, Yao Zhang (2015). Leveraging e-business process for business value: A layered structure perspective. Information & Management, 52(6), 679–691. https://doi.org/10.1016/j.im.2015.05.004

Zhu, Y., Li, Y., & Liang, L. (2013). Complementarity between enterprise resource planning systems and e-business integration. Decision Support Systems, 55(3), 741–752. https://doi.org/10.1016/j.dss.2013.07.003