Development of a proactive marketing performance assurance system in the IT sector

User Rating:  / 0
PoorBest 

Authors:


A. Mazaraki, orcid.org/0000-0003-1817-0510, State University of Trade and Economics, Kyiv, Ukraine

M. Boiko, orcid.org/0000-0003-0249-1432, State University of Trade and Economics, Kyiv, Ukraine

M. Bosovska, orcid.org/0000-0002-6021-5228, State University of Trade and Economics, Kyiv, Ukraine

M. Lisnyi*, orcid.org/0009-0001-8412-1269, State University of Trade and Economics, Kyiv, Ukraine, e-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.

V. Novak, orcid.org/0009-0006-0951-1415, IT-company NDA, Kyiv, Ukraine

* Corresponding author e-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.


повний текст / full article



Naukovyi Visnyk Natsionalnoho Hirnychoho Universytetu. 2026, (3): 213 - 224

https://doi.org/10.33271/nvngu/2026-3/213



Abstract:



Purpose.
To develop and substantiate a conceptual approach to the development of a performance assurance system for proactive marketing in the IT sector and to formulate a methodological framework for its measurement based on the integration of leading and lagging indicators.


Methodology.
The research is based on a synthesis of dynamic capabilities theory and complexity economics, which allows for treating the marketing system as a complex adaptive system. Conceptual modeling methods were applied to construct a three-dimensional measurement architecture. Empirical verification of hypotheses was conducted using case study methods, comparative, and correlation analysis based on data from global technology companies (Hubspot, Ajax Systems, Softserve) for the period 2023–2025.


Findings.
The limitations of the exclusive use of traditional KPIs for evaluating the effectiveness of proactive marketing strategies are substantiated. A comprehensive model is proposed that integrates dual pairs of indicators: SPCR–FARA (market foresight), NRPR–CLV (market shaping), and RDR–ROMI (business resilience). A matrix of diagnostic patterns (“innovator’s trap”, “inertial growth”, “fragile efficiency”, “balanced development”) has been developed to identify structural imbalances within the marketing efficiency system. The correlation between the growth of leading indicators (pipeline safety margin, share of new products, staff loyalty level) and the future financial performance of companies is empirically confirmed.


Originality.
For the first time, the concept of performance system development is substantiated as a process of strategic design and evolution, as opposed to retrospective controlling. A measurement architecture built on the principle of temporal dualism of indicators is proposed, enabling the management of an IT company’s future market value.


Practical value.
The developed toolkit allows IT company management to reduce strategic uncertainty by improving forecasting accuracy, substantiate investments in innovation, and ensure the resilience of business models amidst the turbulence of the digital economy.



Keywords:
proactive marketing, IT sector, digital economy, marketing efficacy, development, business resilience

References.


1. Boiko, M., & Lisnyi, M. (2025). Proactive strategies for business resilience. Scientia fructuosa, 164(6), 64-82. https://doi.org/10.31617/1.2025(164)05

2. Rodenhausen, D., Stringer, J., Yu, R., & Goswami, S. (2025). Six steps to more effective marketing measurement. Boston Consulting Group. Retrieved from https://web-assets.bcg.com/e3/b7/aa59e7f14c09b64beb5f33f127c3/mastering-marketing-measurement-slideshow-june-2025-hybrid-03.pdf

3. United Nations (2019). Digital economy report 2019: Value creation and capture: Implications for developing countries. United Nations Publications. Retrieved from https://unctad.org/system/files/official-document/der2019_en.pdf

4. Pang, M., Huo, C., Wang, X., & Malik, T. H. (2026). The strategic interplay of market orientation and digital transformation: Empirical insights from textual analysis. Long Range Planning. https://doi.org/10.1016/j.lrp.2026.102604

5. Ain.ua. (2025). How the Ukrainian IT market has changed between 2014 and 2024. AIN. Retrieved from https://special.ain.ua/10-years-of-it-in-ukraine/

6. Gurumurthy, R., Schatsky, D., & Camhi, J. (2020). Uncovering the connection between digital maturity and financial performance. Deloitte Insights. Retrieved from https://www.deloitte.com/us/en/insights/topics/digital-transformation/digital-transformation-survey.html

7. Chui, M., Roberts, R., Yee, L., Hazan, E., Singla, A., Smaje, K., Sukharevsky, A., & Zemme, R. (2023). The economic potential of generative AI: The next productivity frontier. McKinsey & Company. Retrieved from https://www.mckinsey.com/capabilities/tech-and-ai/our-insights/the-economic-potential-of-generative-ai-the-next-productivity-frontier

8. State Statistics Service of Ukraine (2025). Annual national accounts (2.02.01.01). Retrieved from https://stat.gov.ua/en/datasets/annual-national-accounts

9. Grumadaitė, K., & Jucevičius, G. (2022). Strategic approaches to the development of complex organisational ecosystems: The case of lithuanian clusters. Sustainability, 14(23), 15697. https://doi.org/10.3390/su142315697

10.      Wedel, M., & Kannan, P. K. (2016). Marketing analytics for data-rich environments. Journal of Marketing, 80(6), 97-121.

11.      Davenport, T. H., Guha, A., Grewal, D., & Bressgott, T. (2020). How artificial intelligence will change the future of marketing. Journal of the Academy of Marketing Science, 48, 24-42.

12.      Kumar, V., Rajan, B., Venkatesan, R., & Lecinski, J. (2019). Understanding the role of artificial intelligence in personalized marketing. California Management Review, 61(4), 135-155.

13.      Morgan, N. A., Feng, H., & Whitler, K. A. (2019). Marketing capabilities in international marketing. Journal of International Marketing, 27(1), 61-95.

14.      Parmenter, D. (2020). Key performance indicators: Developing, implementing, and using winning KPIs (4 th ed.). John Wiley & Sons.

15.      Franco-Santos, M., Lucianetti, L., & Bourne, M. (2017). Contemporary performance measurement systems. Management Accounting Research, 35, 1-15.

16.      Teece, D. J. (2018). Business models and dynamic capabilities. Long Range Planning, 51(1), 40-49.

17.      Bosovska, M., Boiko, M., Bovsh, L., & Okhrimenko, A. (2023). Artificial Intelligence in Ensuring the Business Economic Security. In 2023 IEEE 5th International Conference on Modern Electrical and Energy System (MEES). IEEE. https://doi.org/10.1109/mees61502.2023.10402367

18.      Bosovska, M., Boiko, M., Vedmid, N., Kulyk, M., & Okhrimenko, A. (2025). The internet of things vision: Applications and challenges. In 2025 15 th international conference on advanced computer information technologies (ACIT), (pp. 693-700). IEEE. https://doi.org/10.1109/acit65614.2025.11185832

19.      Cespedes, F. V. (2021). Sales Management That Works: How to Sell in a World That Never Stops Changing. Boston: Harvard Business Review Press.

20.      Kahn, K. B. (2018). Understanding innovation. Business Horizons, 61(3), 453-460. https://doi.org/10.1016/j.bushor.2018.01.011

21.      Kumar, V., & Reinartz, W. (2018). Customer Relationship Management: Concept, Strategy, and Tools. (3 rd ed.). Berlin: Springer. https://doi.org/10.1007/978-3-662-55381-7

22.      Rothaermel, F. T. (2021). Strategic Management. (5 th ed.). New York: McGraw-Hill Education.

23.      HubSpot (2025). HubSpot reports Q4 and full year 2024 results. HubSpot Inc. Retrieved from https://ir.hubspot.com/node/14176/pdf

24.      Ajax Systems (2024–2026). Annual Reports (2024, 2025). Ajax Systems Corporate. Retrieved from https://ajax.systems/blog/category/news/

25.      SoftServe (2025). SoftServe issues sustainability report 2024 highlighting AI adoption, belonging, and education. Retrieved from https://www.softserveinc.com/en-us/news/softserve-issues-sustainability-report-2024

 

Guest Book

If you have questions, comments or suggestions, you can write them in our "Guest Book"

Registration data

ISSN (print) 2071-2227,
ISSN (online) 2223-2362.
Journal was registered by Ministry of Justice of Ukraine.
Registration number КВ No.17742-6592PR dated April 27, 2011.

Contacts

D.Yavornytskyi ave.,19, pavilion 3, room 24-а, Dnipro, 49005
Tel.: +38 (066) 379 72 44.
e-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.
You are here: Home Home EngCat Archive 2026 Content №3 2026 Development of a proactive marketing performance assurance system in the IT sector