Research on the Influence Mechanism of Digital Economy Based on Neural Networks on Corporate Governance Model

Abstract

In the rapidly evolving landscape of the global economy, the advent of the digital era (DE) has ushered in unprecedented transformations, reshaping traditional business paradigms and challenging established governance models. One of the most revolutionary facets of this digital revolution is the integration of neural networks (NN), which have become effective instruments for deciphering complex patterns and optimizing decision-making processes (DMP). This quantitative study investigates the influence mechanism of the digital economy (IMDE), specifically the integration of NNs, on the corporate governance (CG) model. Employing a questionnaire survey, data was collected from 347 professionals to explore the impact of NN technologies on DMP, Digitalization Levels, Digital Capabilities, transparency, accountability, trust, and the role of regulatory frameworks in CG. The study establishes a significant enhancement in DMP by integrating NN technologies into CG models. The research reveals a favorable correlation between a business’s level of digitalization and its adoption of NN-based CG models. The novelty of this study lies in its comprehensive exploration of the multifaceted impact of NN technologies on CG in the digital economy (DE). By examining the technological aspects, Digitalization Levels, capabilities, and regulatory landscape, the study comprehensively comprehends the dynamic interplay involving the DE and CG. The findings offer valuable insights for businesses, policymakers, and researchers seeking to navigate the evolving landscape of digital technologies in CG. The study highlights that sectors driven by NN technology experience a more significant impact in the DE than traditional industries.