This research examines how the increasing use of artificial intelligence (AI) impacts firm-level operational risks, particularly focusing on product reliability and potential vulnerabilities. While AI technology substantially improves operational processes, it also introduces new challenges related to risk management, quality assurance, and decision-making. This study explores these challenges and investigates how corporate governance structures influence the management of technological risks associated with AI adoption.
By leveraging innovative analytical methods on corporate disclosures and employment data, the research assesses firm-level exposure to technology-driven risks. Additionally, it examines internal organizational roles designed to ensure ethical oversight, compliance, and effective management of AI-related issues, providing insights into best practices for firms to navigate technological complexities.
This research is being carried out as part of my PhD studies at Nanyang Technological University (NTU), under the supervision of Assoc. Prof. Chen Tao and Asst. Prof. Chen Zhimin.
Evaluate how AI adoption influences firm-level operational risks and quality outcomes.
Develop innovative measures of corporate exposure to technology-related risks.
Explore the role of corporate governance and managerial oversight in addressing and managing risks associated with emerging technologies.
Investigate the transparency and effectiveness of corporate policies in managing quality control amid technological advancements.
Identification of critical technology-related risk factors affecting firm performance and product reliability.
Insights into best practices in corporate governance to manage technological risks effectively.
Academic contributions enhancing understanding in innovation management, corporate governance, and operational risk management.
Actionable recommendations for policymakers and corporate decision-makers to strengthen technological oversight, enhance compliance frameworks, and maintain consumer trust.
This study aims to offer practical guidance for firms and policymakers, enabling them to effectively manage technology adoption challenges and ensure sustainable, quality-focused innovation.