| JEL Classification: D81; G32; M21. | DOI: https://doi.org/10.31521/modecon.V54(2025)-30 |
Shandova Nataliia, Doctor of Economics, Professor, The Head of the Department of Economy, Entrepreneurship and Economic security, Kherson National Technical University, Khmelnytskyi, Ukraine
ORCID: 0000-0002-6278-1143
e-mail: shandova.nataliya@kntu.edu.ua
Sydoruk Pavlo, Gaduate student of the third (educational and scientific) level of higher education, Kherson National Technical University, Khmelnytskyi, Ukraine
ORCID: 0009-0002-7503-1453
e-mail: sydoruk.pavlo@kntu.net.ua
Weak Signals as a Tool for Early Diagnosis of Threats to Enterprise Economic Security
Abstract. Introduction. The article examines the conceptual foundations for developing a mechanism to manage an enterprise’s economic security based on the identification and interpretation of weak signals as a tool for the early diagnosis of threats to the financial, resource-operational, and strategic sustainability of business entities. The relevance of the study is driven by the growing level of uncertainty and information asymmetry in the modern business environment, which complicates the timely detection of crisis tendencies by traditional analytical tools that rely primarily on retrospective financial reporting and formal performance indicators.
Purpose. The purpose of the study is to provide a theoretical justification for the use of weak signals as an informational basis for the early identification of potential threats to enterprise economic security and to refine approaches to their classification in view of the contemporary conditions of business operation in Ukraine.
Results. The research findings substantiate the expediency of treating weak signals as a specific information resource that expands the analytical toolkit of economic security by enabling a shift from reactive protection measures to preventive management. The article proposes the author’s definition of a weak signal of an economic threat and develops a structured classification according to six economically relevant criteria, which ensures the systematic integration of signal analysis into risk monitoring processes and the forecasting of potential disturbances in the economic equilibrium of enterprises. It is shown that the proposed approach makes it possible to combine the qualitative interpretation of informational impulses with an economic assessment of their potential impact on cash flows, resource provision, and the competitive position of firms.
Conclusions. The obtained results may be applied in the activities of economic security units and analytical departments of enterprises, as well as in the development of methodological recommendations for implementing early risk-warning systems within the framework of post-war recovery and the structural modernization of Ukrainian business.
Keywords: economic security of enterprise, weak signals, early threat detection, preventive management, financial resilience, threat life cycle, window of opportunities.
References:
- Holopainen, M., & Toivonen, M. (2012). Weak signals: Ansoff today. Futures, 44(3), 198–205. https://doi.org/10.1016/j.futures.2011.10.002
- Hiltunen, E. (2010). Weak signals in organizational futures learning. [Doctoral dissertation, Aalto University]. https://aaltodoc.aalto.fi/items/35593471-b2ed-4670-8445-cfa9d0da1502
- Eulaerts, O., Grabowska, M. & Bergamini, M. (2025). Weak signals in science and technologies 2024 – Technologies at an early stage of development that could impact our future. European Commission. https://data.europa.eu/doi/10.2760/6571994.
- Rousseau, P., Camara, D., & Kotzinos, D. (2021). Weak signal detection and identification in large data sets: a review of methods and applications. Springer, Cham. https://doi.org/10.13140/RG.2.2.20808.24327/1
- Lei Zhou (2025). Weak Signal Detection Technology in Big Data Based on Knowledge Base. Proceedings of the 2024 2nd International Conference on Advances in Artificial Intelligence and Applications (152-156). https://doi.org/10.1145/3712623.3712667
- Schummer, P., del Rio, A., Serrano, J., Jimenez, D., Sánchez, G., & Llorente, Á. (2024). Machine Learning-Based Network Anomaly Detection: Design, Implementation, and Evaluation. AI, 5(4), 2967-2983. https://doi.org/10.3390/ai5040143
- Kopytko, M. (2014). Vyiavlennia slabkykh syhnaliv seredovyshcha funktsionuvannia yak zaporuka formuvannia vysokoho rivnia ekonomichnoi bezpeky promyslovykh pidpryiemstv. Ekonomika ta derzhava, 11, 24–27. URL: https://dspace.lvduvs.edu.ua/bitstream/1234567890/6431/1/6.pdf [in Ukrainе]
- Karaym, M., & Batryn, V. (2025). Principles of Ensuring Economic Security of The Enterprise Based on “Weak Signals”. PROBLEMS OF SYSTEMIC APPROACH IN THE ECONOMY, (1(98)). https://doi.org/10.32782/2520-2200/2025-1-15
- Ansoff, H. I. (1975). Managing Strategic Surprise by Response to Weak Signals. California Management Review, 18(2), 21-33. https://doi.org/10.2307/41164635
- Godet, M. (2006). Creating Futures: Scenario Planning as a Strategic Management Tool. Economica Ltd.
- Rossel, P. (2012). Early detection, warnings, weak signals and seeds of change: A turbulent domain of futures studies. Futures, 44(3), 229–239. https://doi.org/10.1016/j.futures.2011.10.005
- Global Risks Report 2023. World Economic Forum. https://www.weforum.org/publications/global-risks-report-2023/
- Ukraine – Fourth Rapid Damage and Needs Assessment (RDNA4) : February 2022 – December 2024. World Bank. https://documents.worldbank.org/en/publication/documents-reports/documentdetail/099022025114040022
Received: 29 November 2025

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How to quote this article? |
| Shandova N., Sydoruk P. (2025). Weak Signals as a Tool for Early Diagnosis of Threats to Enterprise Economic Security. Modern Economics, 54(2025), 235-243. DOI: https://doi.org/10.31521/modecon.V54(2025)-30. |







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