THE IMPACT OF DIGITAL TECHNOLOGIES ON THE TRANSPARENCY AND EFFICIENCY OF INVESTMENT PROCESSES
DOI:
https://doi.org/10.15330/apred.2.21.387-397Keywords:
digital technologies, transparency, efficiency, investment processes, blockchain, big dada, artificial intelligence in investments, decision-making automationAbstract
The article presents an in-depth study of the transformational impact of digital technologies on the transparency and efficiency of investment activity under modern economic conditions. The authors examine key digital tools – blockchain, big data, artificial intelligence (AI), cloud computing, and the Internet of Things (IoT) – as crucial drivers in shaping a new architecture of the investment ecosystem. It is substantiated that digitalization helps overcome information asymmetry, reduce transaction costs, enhance analytical accuracy, and improve access to information for all market participants, thereby strengthening trust in investment processes.
The study highlights fundamental contradictions between transparency and efficiency that arise from the implementation of digital technologies, particularly due to the limited interpretability of machine learning algorithms (the "black box" effect). The article proposes strategies to balance these two dimensions as a prerequisite for building a resilient financial model.
The step-by-step integration of digital solutions into the full investment process cycle—from strategic planning to performance evaluation—is explored. Special attention is paid to the challenges of digital transformation in Ukraine, including technical and human resource limitations, the absence of a comprehensive digital strategy, regulatory uncertainty, and the fragmented implementation of digital innovations.
The authors outline strategic directions for improving public investment policy, such as establishing a unified digital infrastructure for investment, introducing smart contracts and AI-driven analytics, enhancing digital literacy among key stakeholders, and developing a robust legal framework in the field of digital finance. It is emphasized that only a systemic, coordinated approach to digitalization can ensure openness, trust, and sustainable economic growth in the investment sector
References
Adewale, T. How AI and Big Data Are Changing the Way We Invest, 2023, https://surl.gd/yhattr. Accessed 17 Apr. 2025.
Agrawal, V., and A.Magar. “AI-Driven Investment Strategies: Opportunities and Limitations in Financial Markets.” International Journal of Research Publication and Reviews, no.5 (8), 2024, pp.4519-4526, https://surl.li/unavtc. Accessed 18 Apr. 2025.
Boumaiza, A. “Advancing Sustainable Investment Efficiency and Transparency Through Blockchain-Driven Optimization.” Sustainability, no.17 (5), 2025, doi: 10.3390/su17052000. Accessed 17 Apr. 2025.
Feyen, E., Frost, J., Gambacorta, L., Natarajan, H., and M. Saal. “Fintech and the digital transformation of financial services: implications for market structure and public policy.” BIS Papers, no.117, 2021, 51, https://surl.li/xbnozc. Accessed 23 Apr. 2025.
Sabbani, G. “The impact of cloud computing on investment management.” Journal of Artificial Intelligence & Cloud Computing, no.1, 2022, pp.1-3, https://surl.lu/cytrjw. Accessed 17 Apr. 2025.
“The digital transformation and AI revolution in private equity.” Odgers Berndtson, https://surl.li/slsyrk. Accessed 18 Apr. 2025.
“The impact of quantum computing on financial services: what to expect.” Adria Business & Technology, https://surl.li/rnwyqs. Accessed 18 Apr. 2025.
“The role of IoT in enhancing supply chain visibility and efficiency.” TVS Supply Chain Solutions, https://surl.li/ffwllb. Accessed 17 Apr. 2025.
Kushnerenko, S.M. “The impact of digitalization on the efficiency of investment activity in the main sectors of Ukraine’s economy.” Business Inform, no.6, 2024, pp.57–63, https://surl.li/bppjxf . Accessed 14 Apr. 2025.
Lytvynenko, P., Khlebynska, and O., N. Lytvynenko. “Digital transformation of business communications as a driver of company investment attractiveness.” Economy and Society, no.69, 2024, https://surl.lt/eigytm . Accessed 14 Apr. 2025.
Lytvynov, A.I., Ostapenko, R.M., Horokh, O.V., and N.S.Kovalevska. “The impact of AI on modeling investment processes in the banking sector: methodological approaches and analysis of results.” European Scientific Journal of Economic and Financial Innovations, no.1(15), 2025, pp.285–298, https://surl.li/btpbbu. Accessed 14 Apr. 2025.
Makedon, V.V., and O.O. Kovnir. «Digital transformation of enterprise investment project management processes». State and Regions, no.3 (133), 2024, pp.76–82, https://surl.li/kkfjik. Accessed 14 Apr. 2025.
Razumova, H.V., O.I.Kurnosova. “Risk management of investment activity in the context of digital transformation.” Business Inform, no.3, 2024, pp.96–101, https://surl.li/ymjbgy. Accessed 14 Apr. 2025.
Tzehelnyk, N.I., and D.A.Hladkov. “Big Data and artificial intelligence in investment accounting: impact on enterprise economic security.” Current Issues in Economic Sciences, no.9, 2025, https://surl.li/pzpzlj. Accessed 14 Apr. 2025.
Downloads
Published
How to Cite
Issue
Section
License

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
- Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution NonCommercial NoDerivs 4.0 Unported License that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.
- Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.
- Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See The Effect of Open Access)