Multivariate Regression Analysis on Connection Between Cloud Infrastructure and Digital Performanc

Current study examines the relationship between digital infrastructure, artificial intelligence (AI) adoption, and cybersecurity investment by 86 international IT companies participating in the 9th International Conference on Future Networks and Distributed Systems (ICFNDS). Using the MVREG model, the research investigates the influence of firm-level determinants — R&D Expenditure, Market Share, Profit Margin, Innovation Score, Digitalization Level, and Employee Count — on the technological change and performance of businesses in the era of distributed systems and cloud-based networks. The data were standardized and tested for reliability on variance inflation factor (VIF) for multicollinearity, Breusch–Pagan for heteroskedasticity, and Shapiro–Wilk for normality. Diagnostic visualizations such as Graph Box, Cumulative Distribution, and Binscatter Plots were used to analyze variable dispersion, normality, and linearity on dimensions. Main results can be provided strong relationship among Performance Index, Innovation Score, and R&D Expenditure and Cloud Infrastructure Score. When we estimated marginal effect employee number has negative relationship with digital performance. While digitalization addresess functional role in investment into cybersecurity increases dramatically with companies higher levels of digitalization performance. The next results can be drawn relevance of scope of operations in forms of risks from digitalization process. Finally, moderate determination coefficient R² = 0.33 for AI Integration which eproves that the technological genesis is causal dependency on circumstance. Current paper work explains an empirical perspective on digital resource provision by IT companies in order to improve digital performance, acquire innovation technology, and provide competitiveness in the rigid transformation in context of future technology and information systems.

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