Chan Su Jung provides a thorough review of goal ambiguity in the public sector, exploring the general assertions, arguments and empirical evidence regarding performance goal ambiguity, particularly highlighting its causes, consequences, and mediation effects. The author proposes a new conceptual framework for successful analysis of goal ambiguity that can effectively relate to diverse organizational and program characteristics.

Zahariadis offers a theory that explains policymaking when "ambiguity" is present—a state in which there are many ways, often irreconcilable, of thinking about an issue. Expanding and extending John Kingdon's influential "multiple streams" model that explains agenda setting, Zahariadis argues that manipulation, the bending of ideas, process, and beliefs to get what you want out of the policy process, is the key to understanding the dynamics of policymaking in conditions of ambiguity. He takes one of the major theories of public policy to the next step in three different ways: he extends it to a different form of government (parliamentary democracies, where Kingdon looked only at what he called the United States's presidential "organized anarchy" form of government); he examines the entire policy formation process, not just agenda setting; and he applies it to foreign as well as domestic policy. This book combines theory with cases to illuminate policymaking in a variety of modern democracies. The cases cover economic policymaking in Britain, France, and Germany, foreign policymaking in Greece, all compared to the U.S. (where the model was first developed), and an innovative computer simulation of the policy process.

This Element presents and discusses the main trajectories in the evolution of the concept of ambiguity and the most relevant theoretical contributions developed around it. It specifically elaborates on both the intrinsic perspectives on ambiguity as an inherent part of organizational decision-making processes and the more recent strategic perspectives on discursively constructed strategic ambiguity. It helps illuminate the path ahead of organizational scholars and offers new avenues for future research. This is important given the ever more pervasive presence of ambiguity in and around organizations and societies.

Efficiency. Innovation. Results. Accountability. These, advocates claim, are the fruits of performance management. In recent decades government organizations have eagerly embraced the performance model—but the rush to reform has not delivered as promised. Drawing on research from state and federal levels, Moynihan illustrates how governments have emphasized some aspects of performance management—such as building measurement systems to acquire more performance data—but have neglected wider organizational change that would facilitate the use of such information. In his analysis of why and how governments in the United States have made the move to performance systems, Moynihan identifies agency leadership, culture, and resources as keys to better implementation, goal-based learning, and improved outcomes. How do governments use the performance information generated under performance systems? Moynihan develops a model of interactive dialogue to highlight how performance data, which promised to optimize decision making and policy change for the public's benefit, has often been used selectively to serve the interests of particular agencies and individuals, undermining attempts at interagency problem solving and reform. A valuable resource for public administration scholars and administrators, The Dynamics of Performance Management offers fresh insight into how government organizations can better achieve their public service goals.