Transforming Corporate Governance Through AI: Insights for Saudi Vision 2030

DOI

10.2991/978-94-6463-742-7_12How to use a DOI?

Keywords

Artificial Intelligence; Corporate Governance; Saudi Vision 2030; Decision-Making Efficiency; Transparency; Organization Environment Framework

Abstract

This study investigates the influence of Artificial Intelligence (AI) implementation on corporate governance performance in both public and private entities in Saudi Arabia, following the strategic objectives of Saudi Vision 2030. Utilizing the Technology-Organization-Environment (TOE) framework, the study examines the impact of AI adoption on decision-making efficiency, transparency, and regulatory compliance, which are essential aspects of corporate governance. Data was gathered through a standardized questionnaire distributed to governance professionals, managers, and board members of firms involved in Vision 2030. The investigation utilizes Structural Equation Modeling (SEM) in SmartPLS to assess direct and mediated effects. The results indicate that the application of AI significantly improves governance performance. Artificial intelligence enhances decision-making efficiency and transparency, essential for better governance results. The mediating function of decision-making efficiency and transparency underscores how AI adoption enhances governance procedures. These findings highlight the innovative capacity of AI in tackling governance issues and aligning organizational practices with the goals of Vision 2030. This study enhances the literature by addressing contextual deficiencies in emerging economies, offering practical insights for policymakers and organizational leaders to utilize AI for governance excellence in Saudi Arabia.

Copyright

© 2025 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - Sultan Mohammed M. Alqahtani
AU  - Songsong Li
AU  - Qaiser Mohi Ud Din
AU  - Nagina Gul
PY  - 2025
DA  - 2025/05/31
TI  - Transforming Corporate Governance Through AI: Insights for Saudi Vision 2030
BT  - Proceedings of the 2025 4th International Conference on Bigdata Blockchain and Economy Management (ICBBEM 2025)
PB  - Atlantis Press
SP  - 100
EP  - 110
SN  - 1951-6851
UR  - https://doi.org/10.2991/978-94-6463-742-7_12
DO  - 10.2991/978-94-6463-742-7_12
ID  - Alqahtani2025
ER  -