Trust and reputation, as well as other related concepts (such as CSR, regulatory compliance, predictability of financial results, innovation, communication, brand identity or the incorporation of ESG criteria into management) are generating increasing interest among companies across sectors, as they are closely linked to sustainable business growth.
In this context, this study aims to provide a comprehensive view of reputational risk management. The study is divided into three sections, which are intended to:
Describe the context for and regulations on reputational risk.
Present the components of a reputational risk management framework.
Examine the use of quantitative techniques applied to reputational risk management using advanced artificial intelligence and machine learning methods.
