Design and implementation of a quantitative model for assessing motivational gap as an indicator of unrealized innovation capacity in Ukrainian road construction enterprises

Authors

DOI:

https://doi.org/10.15587/2706-5448.2025.342084

Keywords:

GAP analysis, motivational support index, innovation potential index, motivational gap, innovation culture

Abstract

The study focuses on assessing the current state and future prospects of motivational support systems in Ukraine’s road construction sector, with particular emphasis on their role in strengthening innovation potential during wartime conditions and post-crisis recovery. The object of the research is the motivational support systems of employees in enterprises of the road construction industry of Ukraine. The aim of the study is to identify motivational gaps between the actual and target levels of motivation and to determine the directions and principles on the basis of which a framework model for increasing the motivational support index (MSI) can be developed in future research. It was established that the innovation potential index (IPI) of Ukrainian companies remains consistently high and corresponds to the findings of the Global Innovation Index, where Ukraine held leading positions in 20212024 in terms of the innovation efficiency ratio. However, this potential is largely underutilized due to insufficient motivational support. The calculation of the motivational gap index (MGI), defined as the normalized difference between innovation potential (≈ 0.6) and the actual level of motivation (≈ 0.4), yielded MGI  0.33, indicating a substantial human resource reserve that remains unengaged within the current HR system. The study develops an integrated motivation model aimed at enhancing the MSI, capable of functioning effectively under resource constraints while remaining consistent with contemporary global HR and ESG trends. The proposed model may serve as a roadmap for identifying and reducing motivational gaps, increasing employee engagement, and strengthening the competitiveness of Ukraine’s road construction sector. Thus, the results of the study have not only theoretical significance but also practical value for optimizing HR practices in the industry.

Author Biographies

Oleksandr Ivashchuk, West Ukrainian National University

PhD Student

Department of International Tourism and Hospitality Business

Viktoriia Danylenko-Kulchytska, West Ukrainian National University

PhD, Associate Professor

Department of International Tourism and Hospitality Business

References

  1. OECD Science, Technology and Innovation Outlook. Paris: OECD Publishing. https://doi.org/10.1787/0b55736e-en
  2. Himmelfarb, A. (Ed.) (2025). Ukraine – Fourth Rapid Damage and Needs Assessment (RDNA4): Feb 2022–Dec 2024. World Bank Group; Government of Ukraine; European Commission; United Nations. Washington: World Bank. Available at: https://documents1.worldbank.org/curated/en/099022025114040022/pdf/P1801741ca39ec0d81b5371ff73a675a0a8.pdf Last accessed: 10.08.2025
  3. Global Innovation Index 2024. GII 2024 results (2024). WIPO. Available at: https://www.wipo.int/web-publications/global-innovation-index-2024/en/gii-2024-results.html Last accessed: 10.08.2025
  4. Laursen, K. B., Harste, G., Roth, S. (2022). Moral communication observed with social systems theory. An introduction. Kybernetes, 51 (5), 1653–1665. https://doi.org/10.1108/k-01-2022-0059
  5. Al-Abbadi, G. M., Agyekum-Mensah, G. (2019). The effects of motivational factors on construction professionals productivity in Jordan. International Journal of Construction Management, 22 (5), 820–831. https://doi.org/10.1080/15623599.2019.1652951
  6. Abdolmaleki, G., Naismith, N., Ghodrati, N., Poshdar, M., Babaeian Jelodar, M. (2024). An analysis of the literature on construction employee turnover: drivers, consequences, and future direction. Construction Management and Economics, 42 (9), 822–846. https://doi.org/10.1080/01446193.2024.2337084
  7. Bos‐Nehles, A., Townsend, K., Cafferkey, K., Trullen, J. (2023). Examining the Ability, Motivation and Opportunity (AMO) framework in HRM research: Conceptualization, measurement and interactions. International Journal of Management Reviews, 25 (4), 725–739. https://doi.org/10.1111/ijmr.12332
  8. Deci, E. L., Ryan, R. M. (2000). The “What” and “Why” of goal pursuits: Human needs and the self-determination of behavior. Psychological Inquiry, 11 (4), 227–268. https://doi.org/10.1207/S15327965PLI1104_01
  9. Osman, A. M., Liu, Y., Wang, Z. (2023). Influence of Organizational Culture on Construction Firms’ Performance: The Mediating Roles of Innovation and Marketing Capabilities. Buildings, 13 (2), 308. https://doi.org/10.3390/buildings13020308
  10. Gerhart, B., Feng, J. (2021). The Resource-Based View of the Firm, Human Resources, and Human Capital: Progress and Prospects. Journal of Management, 47 (7), 1796–1819. https://doi.org/10.1177/0149206320978799
  11. Handbook on Constructing Composite Indicators: Methodology and User Guide (2008). Paris: OECD Publishing. Available at: https://www.oecd.org/content/dam/oecd/en/publications/reports/2008/08/handbook-on-constructing-composite-indicators-methodology-and-user-guide_g1gh9301/9789264043466-en.pdf
  12. Annual and sustainability report 2023 (2023). Skanska AB. Available at: https://group.skanska.com/493370/siteassets/investors/reports-publications/annual-reports/2023/annual-and-sustainability-report-2023.pdf
  13. Sustainability report 2023 (2023). STRABAG SE. Available at: https://www.strabag.com/site/strabag-company-locale/get/params_E2074889770/1002420/Sustainability-Report-2023.pdf
  14. Forging a sustainable world (2023). VINCI. Available at: https://www.vinci.com/publi/vinci/extract/2023_workforce_related_environmental_and_social_information.pdf
  15. Barney, J. (1991). Firm Resources and Sustained Competitive Advantage. Journal of Management, 17 (1), 99–120. https://doi.org/10.1177/014920639101700108
  16. Delery, J. E., Doty, D. H. (1996). Modes of theorizing in strategic human resource management: tests of universalistic, contingency, and configurations. performance predictions. Academy of Management Journal, 39 (4), 802–835. https://doi.org/10.2307/256713; Available at: https://www.jstor.org/stable/256713 Last accessed: 22.10.2025
  17. Cronbach, L. J. (1951). Coefficient Alpha and the Internal Structure of Tests. Psychometrika, 16 (3), 297–334. https://doi.org/10.1007/bf02310555
  18. Gliem, J. A., Gliem, R. R. (2003). Calculating, interpreting, and reporting Cronbach’s alpha reliability coefficient for Likert-type scales. Midwest Research-to-Practice Conference in Adult, Continuing, and Community Education, Columbus. Available at: https://scholarworks.iupui.edu/handle/1805/344
  19. Tejada, J. J., Punzalan, J. R. B. (2012). On the misuse of Slovin’s formula. Philippine Statistician, 61 (1), 129–136. Available at: https://www.psai.ph/docs/publications/tps/tps_2012_61_1_9.pdf
  20. Research Ethics and New Forms of Data for Social and Economic Research (2016). Paris: OECD Publishing. https://doi.org/10.1787/5jln7vnpxs32-en
  21. Working conditions and sustainable work: An analysis using the job quality framework. Challenges and prospects in the EU (2021). Eurofound. Luxembourg: Publications Office of the European Union. Available at: https://www.eurofound.europa.eu/system/files/2021-02/ef20021en.pdf Last accessed: 10.08.2025
  22. European Skills Index 2024: Technical report. Cedefop (2024). Luxembourg: Publications Office of the European Union. Available at: https://www.cedefop.europa.eu/files/esi_technical_report_2024.pdf Last accessed: 10.08.2025
  23. Kim, T. K. (2017). Understanding one-way ANOVA using conceptual figures. Korean Journal of Anesthesiology, 70 (1), 22–26. https://doi.org/10.4097/kjae.2017.70.1.22
  24. Herzberg, F., Mausner, B., Snyderman, B. B. (1959). The motivation to work. New York: John Wiley & Sons.
  25. Bakker, A. B., Demerouti, E. (2007). The Job Demands‐Resources model: state of the art. Journal of Managerial Psychology, 22 (3), 309–328. https://doi.org/10.1108/02683940710733115
  26. Mehner, L., Rothenbusch, S., Kauffeld, S. (2024). How to maximize the impact of workplace training: a mixed-method analysis of social support, training transfer and knowledge sharing. European Journal of Work and Organizational Psychology, 34 (2), 201–217. https://doi.org/10.1080/1359432x.2024.2319082
  27. Kötting, M., Kuckertz, A. (2019). Three configurations of corporate innovation programs and their interplay. European Journal of Innovation Management, 23 (1), 90–113. https://doi.org/10.1108/ejim-07-2018-0142
  28. Cotton, J. L., Vollrath, D. A., Froggatt, K. L., Lengnick-Hall, M. L., Jennings, K. R. (1988). Employee Participation: Diverse Forms and Different Outcomes. The Academy of Management Review, 13 (1), 8–22. https://doi.org/10.2307/258351
  29. Priyashantha, K. G., De Alwis, A. C., Welmilla, I. (2022). Disruptive human resource management technologies: a systematic literature review. European Journal of Management and Business Economics, 33 (1), 116–136. https://doi.org/10.1108/ejmbe-01-2022-0018
  30. Roth, S., Clausen, L., Möller, S. (2020). COVID-19. Scenarios of a superfluous crisis. Kybernetes, 50 (5), 1621–1632. https://doi.org/10.1108/k-05-2020-0280
  31. Deiaki pytannia realizatsii polozhen Zakonu Ukrainy “Pro mobilizatsiinu pidhotovku ta mobilizatsiiu” shchodo broniuvannia viiskovozoboviazanykh na period mobilizatsii ta na voiennyi chas (2023). Postanova Kabinetu Ministriv Ukrainy No. 76. 27.01.2023. Available at: https://zakon.rada.gov.ua/laws/show/76-2023-%D0%BF
Design and implementation of a quantitative model for assessing motivational gap as an indicator of unrealized innovation capacity in Ukrainian road construction enterprises

Downloads

Published

2025-10-30

How to Cite

Ivashchuk, O., & Danylenko-Kulchytska, V. (2025). Design and implementation of a quantitative model for assessing motivational gap as an indicator of unrealized innovation capacity in Ukrainian road construction enterprises. Technology Audit and Production Reserves, 5(4(85), 57–65. https://doi.org/10.15587/2706-5448.2025.342084

Issue

Section

Development of Productive Forces and Regional Economy