This research examines the intersection of disruptive technologies specifically blockchain, AI, and Big Data with corporate governance, synthesizing insights from a diverse range of scholarly works. This research employed a comprehensive literature review methodology. We sourced and analyzed scholarly articles and papers from prominent databases, focusing on key themes such as the impact of these technologies on corporate governance, potential benefits, and associated challenges. We investigate the implications of these technologies on corporate governance, scrutinizing potential benefits and associated challenges. Our findings reveal that blockchain, with its potential to enhance transparency and reduce information asymmetry, promises to transform accounting and auditing practices. Nevertheless, the successful integration of blockchain into mainstream financial systems necessitates addressing technical and regulatory challenges. AI's potential to augment decision-making capabilities offers opportunities for improved auditing efficiency, yet raises ethical concerns and implementation complexities. Lastly, Big Data presents opportunities for driving sustainable innovation and informed decision-making, while posing significant challenges concerning data privacy and security. This study's findings carry implications for practitioners, policy-makers, and academics alike, providing critical insights into the dynamic interplay between disruptive technologies and corporate governance. Future research may extend this work through empirical studies and comparative analyses across industries and regions.
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