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Public Affairs, Public Policy and Public Administration

2020

Risk management

Articles 1 - 2 of 2

Full-Text Articles in Business

Management-Based Regulation, Cary Coglianese, Shana M. Starobin Jan 2020

Management-Based Regulation, Cary Coglianese, Shana M. Starobin

All Faculty Scholarship

Environmental regulators have embraced management-based regulation as a flexible instrument for addressing a range of important problems often poorly addressed by other types of regulations. Under management-based regulation, regulated firms must engage in management-related activities oriented toward addressing targeted problems—such as planning and analysis to mitigate risk and the implementation of internal management systems geared towards continuous improvement. In contrast with more restrictive forms of regulation which can impose one-size-fits-all solutions, management-based regulation offers firms greater operational choice about how to solve regulatory problems, leveraging firms’ internal informational advantage to innovate and search for alternative measures to achieve the intended …


Shipbuilding Supply Chain Framework And Digital Transformation: A Project Portfolios Risk Evaluation, Rafael Diaz, Katherine Smith, Rafael Landaeta, Antonio Padovano Jan 2020

Shipbuilding Supply Chain Framework And Digital Transformation: A Project Portfolios Risk Evaluation, Rafael Diaz, Katherine Smith, Rafael Landaeta, Antonio Padovano

VMASC Publications

Program portfolio managers in digital transformation programs have a need for knowledge that can guide decisions related to the alignment of program investments with the sustainability and strategic objectives of the organization. The purpose of this research is to illustrate the utility of a framework capable of clarifying the cost-benefit tradeoffs stemming from assessing digitalization program investment risks in the military shipbuilding sector. Our approach uses Artificial Neural Network to quantify benefits and risks per project while employing scenario analysis to quantify the effects of operational constraints. A Monte Carlo model is used to generate data samples that support the …