Digital platforms as a source of weak signals for regional development

Regional and branch economy
Authors:
Tarasova O.S.Aletdiova A. A.
Abstract:

The study focuses on the analysis of digital platforms as a source of weak signals that reflect emerging public interests and the possible direction of future regional development. The relevance of the work is determined by the need to identify early signs of social, economic and cultural changes that are not yet captured by statistical data or reflected in strategic documents. Digital crowdfunding platform projects represent a form of open digital participation, where alternative ideas, new practices and shifts in public value manifest, making them a significant tool for predictive research. The aim of the study is to explore the potential of using data from crowdfunding platforms to identify weak signals of future regional development and to demonstrate how such data can serve as indicators of emerging public interests, values and practices. To achieve this aim, the following tasks were addressed: analyzing the theoretical foundations of the weak signals concept, investigating the properties of digital platforms, examining the structure and dynamics of projects on the Planeta.ru platform from 2021 to 2024 and identifying categories that can serve as indicators of future transformations. The research employs methods of content analysis, comparative data analysis, clustering of project categories and interpretation of their success rates. Original empirical data from the crowdfunding platform were used, containing information on project themes, regional affiliation, goals and outcomes. The results reveal a multi-level structure of signals: established directions, intensifying new trends with high predictive potential and areas of high uncertainty. It is substantiated that crowdfunding initiatives enable the identification of directions in their early stages of development. The novelty of the research lies in the integration of the weak signals approach and crowdfunding data analysis for regional development tasks, as well as in the development of a cluster-based structure of signals that allows for the interpretation of digital initiatives as early indicators of future changes. The practical value of the study is in the potential application of its findings by regional authorities, analysts, social entrepreneurs and researchers for monitoring public demands and formulating more precise development strategies. In conclusion, directions for further research are outlined, related to expanding data sources, comparing platforms and modeling the dynamics of weak signals.

Key words:
weak signalsregional developmentdigital platformscrowdfundingsocial trends
  • References

    1. Harrysson M., Métayer E., Sarrazin H. (2014) The strength of ‘weak signals’. McKinsey Quarterly, 1–4.

    2. Zakharova Ye.N., Abesalashvili M.Z., Piltakyan K.S. (2023) Ispolzovaniye metodologii forsayt-analiza v protsesse upravleniya regionalnym razvitiyem. Innovatsionnaya ekonomika: perspektivy razvitiya i sovershenstvovaniya, 5 (71), 28–35.

    3. Vasilyeva K.V. (2024) Prognozirovaniye sotsialno-ekonomicheskogo razvitiya regiona: problemy i perspektivy. Aktualnyye issledovaniya, 36 (218), 53–57.

    4. Valko D.V. (2021) Kraudfanding kak instrument investirovaniya v proyekty ustoychivogo razvitiya i yego mesto v ekosisteme zelenykh finansov. Vestnik Sankt-Peterburgskogo universiteta. Ekonomika, 37 (1), 109–139. DOI: https://doi.org/10.21638/spbu05.2021.105

    5. Ansoff H.I. (1975) Managing Strategic Surprise by Response to Weak Signals. California Management Review, 18 (2), 21–33. DOI: https://doi.org/10.2307/41164635

    6. Ansoff H.I. (1980) Strategic issue management. Strategic Management Journal, 1 (2), 131–148. DOI: https://doi.org/10.1002/smj.4250010204

    7. Harris B., Brooker J. (2025) Environmental Scanning: A Look to the Future. New Directions for Evaluation, 2025 (185–186), 33–41. DOI: https://doi.org/10.1002/ev.20633

    8. Choo C.W. (1999) The Art of Scanning the Environment. Bulletin of the American Society for Information Science and Technology, 25 (3), 21–24. DOI: https://doi.org/10.1002/bult.117

    9. Mayer J.H., Steinecke N., Quick R., Weitzel T. (2013) More applicable environmental scanning systems leveraging “modern” information systems. Information Systems and E-Business Management, 11, 507–540. DOI: https://doi.org/10.1007/s10257-012-0207-7

    10. Saritas O., Smith J.E. (2011) The Big Picture – trends, drivers, wild cards, discontinuities and weak signals. Futures, 43 (3), 292–312. DOI: https://doi.org/10.1016/j.futures.2010.11.007

    11. Carbonell J., Sánchez-Esguevillas A., Carro B. (2018) Easing the assessment of emerging technologies in technology observatories: Findings about patterns of dissemination of emerging technologies on the internet. Technology Analysis and Strategic Management, 30 (1), 113–129. DOI: https://doi. org/10.1080/09537325.2017.1337886

    12. Holopainen M., Toivonen M. (2012) Weak signals: Ansoff today. Futures, 44 (3), 198–205. DOI: https://doi.org/10.1016/j.futures.2011.10.002

    13. Van Veen B.L., Ortt J.R. (2021) Unifying weak signals definitions to improve construct understanding. Futures, 134, art. no. 102837. DOI: https://doi.org/10.1016/j.futures.2021.102837

    14. Mendonça S., Cardoso G., Caraça J. (2012) The strategic strength of weak signal analysis. Futures, 44 (3), 218–228. DOI: https://doi.org/10.1016/j.futures.2011.10.004

    15. Hiltunen E. (2008) Good Sources of Weak Signals: A Global Study of Where Futurists Look for Weak Signals. Journal of Futures Studies, 12 (4), 21–44.

    16. Bafera J., Kleinert S. (2023) Signaling Theory in Entrepreneurship Research: A Systematic Review and Research Agenda. Entrepreneurship Theory and Practice, 47 (6), 2419–2464. DOI: https://doi. org/10.1177/10422587221138489

    17. Fergnani A. (2022) Corporate Foresight: A New Frontier for Strategy and Management. Academy of Management Perspectives, 36 (2), 820–844. DOI: https://doi.org/10.5465/amp.2018.0178

    18. Babkin A.V., Burkaltseva D.D., Kosten D.G., Vorobyev Yu.N. (2017) Formirovaniye tsifrovoy ekonomiki v Rossii: sushchnost, osobennosti, tekhnicheskaya normalizatsiya, problemy razvitiya. Nauchno-tekhnicheskiye vedomosti Sankt-Peterburgskogo gosudarstvennogo politekhnicheskogo universiteta. Ekonomicheskiye nauki, 10 (3), 9–25. DOI: https://doi.org/10.18721/JE.10301

    19. Babkin A.V., Mikhaylov P.A. (2023) Tsifrovyye platformy v ekonomike: ponyatiye, sushchnost, klassifikatsiya. Vestnik Akademii znaniy, 1 (54), 25–36.

    20. Faudzi M.S.M., Bakar J.A., Ahmad S. (2021) The Relevance of Conventional and Islamic Crowdfunding as Financing Instruments for SMEs. Journal of Islamic Finance, 10 (1), 59–64. DOI: https://doi.org/10.31436/jif.v10i1.562

    21. Katseli L.T., Boufounou P. (2020) Crowdfunding: An Innovative Instrument for Development Finance and Financial Inclusion. In: Recent Advances and Applications in Alternative Investments (eds. C. Zopounidis, D. Kenourgios, G. Dotsis), NY: IGI Global Scientific Publishing, 259–285. DOI: https://doi.org/10.4018/978-1-7998-2436-7.ch011

    22. Berezinets I.V., Volkov D.L., Yerisov A.Yu., Ilina Yu.B., Tsarkov I.N. (2025) Kraudfanding kak instrument investitsionnykh vozmozhnostey i demokratizatsii finansirovaniya malogo i srednego biznesa (pod obshch. red. D.L. Volkova), M.: ID VShE. DOI: https://doi.org/10.17323/978-5-7598-4190-6

    23. Ramdani R., Yasin A., Rohmaningtyas N., Anwar M.K., Ismail A.G. (2025) Crowdfunding on sustainable development goals: A systematic literature review. International Journal of Ethics and Systems, ahead-of-print. DOI: https://doi.org/10.1108/IJOES-12-2024-0397

    24. Flórez-Parra J.M., Rubio Martín G., Rapallo Serrano C. (2020) Corporate Social Responsibility and Crowdfunding: The Experience of the Colectual Platform in Empowering Economic and Sustainable Projects. Sustainability, 12 (13), art. no. 5251. DOI: https://doi.org/10.3390/su12135251

    25. Talukder S.C., Lakner Z. (2023) Exploring the Landscape of Social Entrepreneurship and Crowdfunding: A Bibliometric Analysis. Sustainability, 15 (12), art. no. 9411. DOI: https://doi.org/10.3390/su15129411

    26. Aletdinova A.A., Andryushchin A.V., Idimesheva Yu.V., Murtazina M.Sh. (2022) Kraudfandingovyye tekhnologii kak instrument prodvizheniya sotsialnykh initsiativ informatsionnogo obshchestva. Vestnik Chelyabinskogo gosudarstvennogo universiteta, 12 (470), 150–157. DOI: https://doi.org/10.47475/1994-2796-2022-11216

    27. Mints O., Simanaviciene Z., Polupanova K., Mavrina M. (2024) A Conceptual Framework for Early Diagnosis of Global Catastrophes Based on Information Field Monitoring. In: Eurasian Business and Economics Perspectives (EBES 2024) (eds. M.H. Bilgin, H. Danis, E. Demir, M. Zipperling), Cham: Springer, 299–313. DOI: https://doi.org/10.1007/978-3-031-85312-8_16

    28. Kolozaridi P.V., Muravyev D.V. (2020) Internet posle globalnosti. Rossiya v globalnoy politike, 18 (6 (106)), 117–133.

    29. Kolozaridi P. (2020) Internety budushchego: chem oni mogut byt dlya grazhdanskogo obshchestva. Skanirovaniye gorizontov: rol informatsionnykh tekhnologiy v budushchem grazhdanskogo obshchestva, 1, 172–193. DOI: https://doi.org/10.24411/9999-053A-2020-00009

    30. Babkin A.V., Liberman I.V., Klachek P.M., Shkarupeta Ye.V. (2025) Industriya 6.0: metodologiya, instrumentariy, praktika. π-Economy, 18 (1), 21–56. DOI: https://doi. org/10.18721/JE.18102

    31. Charitonidis C., Rashid A., Taylor P.J. (2015) Weak Signals as Predictors of Real-World Phenomena in Social Media. Proceedings of the 2015 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining 2015, 864–871. DOI: https://doi.org/10.1145/2808797.2809332

    32. Thorleuchter D., Van den Poel D. (2015) Idea mining for web-based weak signal detection. Futures, 66, 25–34. DOI: https://doi.org/10.1016/j.futures.2014.12.007

    33. Arpentyeva M.R. (2016) Slabyye signaly: metapoznavatelnyye aspekty vzaimoponimaniya. Lichnost, intellekt, metakognitsii: issledovatelskiye podkhody i obrazovatelnyye praktiki, 11–30.

    34. Milovidov V. (2018) Uslyshat shum volny: chto meshayet predvidet innovatsii? Forsayt, 12 (1), 88–97. DOI: https://doi.org/10.17323/2500-2597.2018.1.88.97

    35. Tarasova O.S., Aletdinova A.A., Kalyuta V.A. (2024) Realizatsiya v regionakh Rossii proyektov po razvitiyu nauki i prosveshcheniya s ispolzovaniyem tsifrovykh instrumentov. Ekonomika i upravleniye tsifrovoy transformatsiyey ekonomicheskikh sistem (otv. red. A.V. Babkin), SPb.: Politekh-Press, 591–614. DOI: https://doi.org/10.18720/IEP/2024.5/26

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