Please use this identifier to cite or link to this item: http://rps.chtei-knteu.cv.ua:8585/jspui/handle/123456789/4091
Title: AI as a driver of digital platform development in the Ukrainian economy: focus on small and medium-sized
Authors: Petko, Stanislav
Вдовічен, Анатолій Анатолійович / Vdovichen, Anatolii
Вдовічена, Ольга Геннадіївна / Vdovichena, Olha
Королюк, Юрій Григорович / Koroliuk, Yurii
Лошенюк, Ірина Романівна / Losheniuk, Iryna / Loshenyuk, Iryna
Keywords: artificial intelligence
digital platforms
Ukrainian SMEs
business transformation
Issue Date: 2026
Publisher: Periodicals of Engineering and Natural Sciences
Citation: Petko, S., Vdovichen, A., Vdovichena, O., Koroliuk, Yu., & Losheniuk I. (2026). AI AS A DRIVER OF DIGITAL PLATFORM DEVELOPMENT IN THE UKRAINIAN ECONOMY: FOCUS ON SMALL AND MEDIUM-SIZED. Periodicals of Engineering and Natural Sciences, 14(1), 201-212. https://doi.org/10.21533/pen.v14.i1.1544
Abstract: This work analyzes the evolution of the digital platform using artificial intelligence in the Ukrainian economy. Particular emphasis is placed on Small and Medium Enterprises (SMEs). For this purpose, a mixed-method approach was adopted. It combined quantitative and qualitative methods. The quantitative prospect was effectuated using a structured survey targeting SME owners, co-founders, operations managers, and heads of marketing, logistics, customer support, and finance. The qualitative part concerned semi-structured interviews with SME decision-makers. The results demonstrated that while artificial intelligence (AI) has significantly improved operational efficiency and digitalization in Ukrainian SMEs, its effectiveness is constrained by financial, technical, and regulatory obstacles. Nonetheless, context-specific drivers of digitalization enable gradual, pragmatic adoption, with measurable benefits emerging even under cautious and uneven integration. The study concludes that AI plays a pragmatic yet limited role in driving digital transformation among Ukrainian SMEs.
Description: Scopus
URI: http://rps.chtei-knteu.cv.ua:8585/jspui/handle/123456789/4091
ISSN: 2303-4521
Appears in Collections:2026

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