Enhancing Organizational Sustainability Through Big Data Analytics and Intelligent Risk Management in U.S. Business Operations
DOI:
https://doi.org/10.69937/tk754648Keywords:
Machine Learning (ML), Business Analytics, Predictive Modeling, Artificial Intelligence, Decision Support Systems, Data-Driven Decision-MakingAbstract
In the contemporary U.S. corporate environment, sustainability has shifted from a peripheral concern to a core strategic imperative. To remain competitive and resilient, organizations increasingly rely on Big Data Analytics (BDA) and intelligent risk management systems to anticipate disruptions and reinforce operational stability over the long term. This study adopts a mixed-method design, combining quantitative and qualitative approaches to examine how BDA capability and risk intelligence contribute to sustainability performance. A structured survey using a 5-point Likert scale was employed to assess three main dimensions: BDA capability, intelligent risk management, and organizational sustainability outcomes. Reliability testing yielded a Cronbach’s alpha of 0.91, indicating excellent internal consistency. Quantitative analysis was conducted in SPSS (v29) using Pearson correlation, multiple regression, ANOVA, and Principal Component Analysis (PCA) for dimensionality reduction, while qualitative responses were examined through thematic coding to validate and enrich the statistical findings. Results show a strong positive association between BDA capability and sustainability performance (r = 0.79, p = 0.001). Regression analysis indicates that analytics maturity explains 64% of the variance in sustainability outcomes (R² = 0.64). Firms classified as high-BDA performers reported, on average, 21% higher resource efficiency, 25% better regulatory compliance, and a 17% reduction in risk exposure compared to their less advanced counterparts. ANOVA further revealed significant sectoral differences (F = 28.56, p = 0.01), with organizations in the finance and technology sectors outperforming those in other industries. However, the alignment of Big Data Analytics with intelligent risk management enables organizations to convert large-scale data into predictive, actionable insights, thereby strengthening their capacity to achieve sustainable, long-term business success.