Current Volume 9
This paper examines the influence of corporate governance and business law on risk management strategies in the real estate and commercial sectors through a data-driven analytical approach. It begins by establishing the theoretical and legal frameworks that underpin governance and risk management, highlighting the key theories and regulatory environments that shape organizational practices. The methodology section details the quantitative and qualitative data sources and the analytical methods employed to assess the impact of governance structures on risk strategies. The findings reveal that strong governance practices, characterized by independent oversight and stakeholder engagement, significantly enhance the effectiveness of risk management strategies. Furthermore, compliance with legal regulations is essential for mitigating risks across both sectors. Comparative analyses demonstrate distinct challenges and priorities within the real estate and commercial industries, emphasizing the need for context-specific governance approaches. The paper concludes with practical recommendations for firms, investors, and policymakers to foster a culture of accountability and resilience. Future research directions are proposed to explore the impact of emerging technologies and corporate social responsibility on governance and risk management practices.
Corporate Governance, Business Law, Risk Management, Real Estate, Commercial Sector, Compliance
IRE Journals:
Adeyinka Lawal , Bisayo Oluwatosin Otokiti , Sibongile Gobile , Adeola Okesiji , Odunayo Oyasiji
"The Influence of Corporate Governance and Business Law on Risk Management Strategies in the Real Estate and Commercial Sectors: A Data-Driven Analytical Approach" Iconic Research And Engineering Journals Volume 4 Issue 12 2021 Page 434-449
IEEE:
Adeyinka Lawal , Bisayo Oluwatosin Otokiti , Sibongile Gobile , Adeola Okesiji , Odunayo Oyasiji
"The Influence of Corporate Governance and Business Law on Risk Management Strategies in the Real Estate and Commercial Sectors: A Data-Driven Analytical Approach" Iconic Research And Engineering Journals, 4(12)