ALGORITHMIC APPROACH TO EVALUATING DISRUPTIVE IT TECHNOLOGIES IN FASHION E-COMMERCE

DOI: 10.31673/2786-8362.2025.028687

Abstract

The paper presents an
algorithmic approach to evaluating the impact of disruptive information technologies (disruptive-IT) within
the Fashion E-commerce domain. The study focuses on developing a formalized and reproducible method
that combines content analysis, open-source intelligence (OSINT) data processing, and analytical modeling
to determine the priority of disruptive-IT implementation in digital business environments. The proposed
approach integrates methods of data collection, preprocessing, classification, and ranking of technologies
based on economic, technical, user experience, and social impact criteria. A conceptual evaluation model
has been developed that considers statistical indicators of data representativeness, confidence intervals, and
relevance weight coefficients, implemented through algorithmic data analysis procedures. The research
employs Python-based tools for natural language processing (NLP), text vectorization, and automated
pattern detection to enhance the objectivity and scalability of results. The practical significance of the study
lies in the formation of an analytical core for decision support systems (DSS) aimed at strategic planning
of digital transformation in Fashion E-commerce. The algorithmic approach provides a foundation for the
development of intelligent information systems capable of ranking and assessing disruptive technologies,
optimizing innovation management, and reducing decision-making uncertainty.
Keywords: OSINT, algorithmic modeling, decision support systems, digital transformation, Fashion
E-commerce, disruptive information technologies, computer modeling

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