IBM Center for The Business of Government

New Zealand has been a beacon for government reforms for almost three decades. While the New Public Management Reforms of the late 1980s made agencies more efficient and responsive, they also created a new problem; agencies struggled to organize effectively around problems that crossed agency boundaries. New Zealand undertook a new round of reform in 2012 to address ten important and persistent crosscutting problems.

This report continues the IBM Center’s long interest in risk management with a specific focus on employing risk management strategies to reduce improper payments in the U S Department of Labor’s (DOL) Unemployment Insurance (UI) program. There is a long tradition of public management scholarship that has provided empirical support for the hypothesis that management matters for government performance. One specific management activity that has been growing in prominence in federal agencies over the last several years is risk management.

Professor Ho conducted a survey and phone interviews with city officials responsible for Big Data initiatives. Based on his research, the report presents a framework for Big Data initiatives which consists of two major cycles: the data cycle and the decision-making cycle. Each cycle is described in the report.

The authors collected data from a survey of 237 homeless program networks across the nation, as well as in-depth reviews and interviews of four CoC homeless networks in three states. While this report focuses on homeless networks, its findings and recommendations are applicable to networks in all service delivery areas.