Big Data Governance, Digital Maturity, and Organizational Agility in Post-Pandemic Medium-Sized Enterprises: A Predictive Framework Validation

• Asher Noah

  covenant University

  Author

The post-pandemic business environment has intensified pressure on medium-sized enterprises (MEs) to leverage data assets for adaptive advantage, yet the joint influence of big data governance and digital maturity on organizational agility remains insufficiently theorized and empirically validated at the firm level. This study addresses the gap by developing and testing a predictive framework that integrates big data governance mechanisms, digital maturity dimensions, and organizational agility outcomes in post-pandemic MEs. Using a quantitative, cross-sectional design with survey data from 342 medium-sized enterprises across manufacturing and service sectors, the research employs partial least squares structural equation modeling (PLS-SEM) supplemented by machine learning-based feature importance analysis. Results demonstrate that the proposed framework achieves 89.4% predictive accuracy for high-agility classification, with data governance maturity emerging as the strongest predictor (β = 0.412, p < 0.001), followed by digital process integration (β = 0.367) and analytical decision culture (β = 0.284). Organizational agility is shown to mediate the relationship between digital maturity and perceived post-pandemic recovery performance. The study contributes a validated, replicable diagnostic framework for ME administrators and offers theoretical extension of dynamic capabilities theory by positioning data governance as a foundational, rather than ancillary, capability. Implications for policymakers include targeted governance infrastructure support rather than technology acquisition subsidies alone.

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Copyright (c) 2026 Asher Noah (Author)

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