DIGITAL ENTREPRENEURSHIP: MATHEMATICAL AND COMPUTATIONAL FOUNDATIONS
Zuxriddin Jumayev
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Source: Crossref
Published: Jan 26, 2026
DOI: 10.70413/yo-v04-i05-s85149
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Digital entrepreneurship has emerged as a dominant driver of economic growth in the knowledge economy, relying heavily on mathematical modeling and computational technologies. This article examines the mathematical and computational foundations that underpin digital entrepreneurial activity, including algorithmic thinking, data analytics, optimization models, and computational complexity. Drawing on established research in economics, computer science, and entrepreneurship studies, the paper analyzes how formal mathematical frameworks and computational tools enable opportunity recognition, resource allocation, and scalable digital business models. The results demonstrate that digital entrepreneurship is not solely a managerial or technological phenomenon, but a structurally mathematical and computational process that depends on formal models, algorithms, and data-driven decision systems.
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