Towards a Regulator-Oriented Regulatory Intelligence Framework

摘要

With regulations influencing almost all societal interactions, divergent views about their relevance and performance exist today. In consideration of the time and cost implication involved in complying, regulated parties often complain of overregulation. Governments, motivated to ensure the safety, security and prosperity of their communities, insist on effective and efficient regulations and advocate for more. Additionally, citizens and interest groups advocate for more or fewer regulations depending on perceived benefits to them. This scenario puts pressure on regulators mandated to administer regulations. They are required to be transparent and accountable in showing the performance of regulations while accommodating the concerns of different stakeholders involved. In this regard, this doctoral research proposes a framework that regulators can use to show the performance of their regulations through modeling and measuring regulations and evaluating and reporting their outcomes. The Regulator-Oriented Regulatory Intelligence Framework (RORIF) adopts a regulatory intelligence approach that involves the use of data and takes advantage of the capabilities of existing Business Intelligence and analytical tools.