Article: Optimising corporate governance with internet of things and artificial intelligence: a data-driven framework for legal systems Journal: International Journal of Information and Communication Technology (IJICT) 2025 Vol.26 No.13 pp.81 - 100 Abstract: This research introduces an IoT-driven data analysis and AI framework for optimising corporate governance. The framework leverages deep learning algorithms, including transformer-based neural networks, convolutional neural networks (CNNs), and reinforcement learning models, to enhance decision-making, regulatory compliance, and transparency. Real-time data streams from IoT devices were processed, and a dataset of over 500 corporate entities was analysed. Transformer models achieved a predictive accuracy of 99.2% in identifying governance risks, CNNs detected anomalies in IoT data with 98.6% accuracy, and reinforcement learning models reduced compliance-related delays by 47%. The framework also led to a 38% increase in regulatory adherence and a 55% improvement in operational efficiency. These results demonstrate the potential of IoT and AI in addressing modern governance challenges and provide a scalable solution for sustainable governance. Inderscience Publishers - linking academia, business and industry through research

Title: Optimising corporate governance with internet of things and artificial intelligence: a data-driven framework for legal systems

Authors: Yi Li

Addresses: School of Law, Dongguan City University, Dongguan, 523106, China

Abstract: This research introduces an IoT-driven data analysis and AI framework for optimising corporate governance. The framework leverages deep learning algorithms, including transformer-based neural networks, convolutional neural networks (CNNs), and reinforcement learning models, to enhance decision-making, regulatory compliance, and transparency. Real-time data streams from IoT devices were processed, and a dataset of over 500 corporate entities was analysed. Transformer models achieved a predictive accuracy of 99.2% in identifying governance risks, CNNs detected anomalies in IoT data with 98.6% accuracy, and reinforcement learning models reduced compliance-related delays by 47%. The framework also led to a 38% increase in regulatory adherence and a 55% improvement in operational efficiency. These results demonstrate the potential of IoT and AI in addressing modern governance challenges and provide a scalable solution for sustainable governance.

Keywords: internet of things; IoT; data analytics; artificial intelligence; optimisation; corporate governance; legal systems.

DOI: 10.1504/IJICT.2025.146171

International Journal of Information and Communication Technology, 2025 Vol.26 No.13, pp.81 - 100

Received: 16 Mar 2025
Accepted: 28 Mar 2025
Published online: 08 May 2025 *

Title: Optimising corporate governance with internet of things and artificial intelligence: a data-driven framework for legal systems

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