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Introduction -- Extending goal ambiguity research in government: from organizational goal ambiguity to program goal ambiguity -- Budgets and financial management -- Organizational structure and public service performance -- Red tape: the bane of public organizations? -- Managerial networking, managing the environment, and program performance: a summary of findings and an agenda -- Public service motivation and performance -- Organizational diversity and public service performance -- Performance management: does it work? -- Strategy: which strategic stances matter? -- Methods -- Conclusion: enriching the field.

Why some patients wait longer than others remains an important question in health services research. This book is a reference for health services researchers looking for statistical tools with which to study waiting times. The book provides detailed coverage of statistical concepts and methods for the analysis and interpretation of waiting-time data: time-to-event analysis, discrete time regression models, competing risks, and pseudovalues regression models. The book will also be useful for professionals and research workers in health care industry, who will find a collection of examples of waiting-time data analysis in health services research. It gives a practical perspective on how to describe and compare waiting experiences, how to study the impact of factors associated with waiting times, and how to use appropriate statistical techniques in practical terms, i.e., from a study question through interpretation of results.

Since 2005, the German National Library of Science and Technology (TIB) has offered a successful Digital Object Identifier (DOI) registration service for persistent identification of research data. In 2009, TIB, the British Library, the Library of the ETH Zurich, the French Institute for Scientific and Technical Information (INIST), the Technical Information Center of Denmark, Canada Institute for Scientific and Technical Information (CISTI) the Australian National Data Service (ANDS) and the Dutch TU Delft Library all signed a Memorandum of Understanding to improve access to research data on the internet. The goal of this cooperation is to establish a not-for-profit agency called DataCite that enables organisations to register research datasets and assign persistent identifiers to them, so that research datasets can be handled as independent, citable, unique scientific objects.

Theory production has been a central focus of management research for decades, mostly because theory legitimizes both management research and, through its application, management practice as professional endeavors. However, such an emphasis on theory glosses over one of its constraining and particularized roles in scientific explanation, namely that theory codifies predictive knowledge. Committing to a 'traditional' or 'critical' understanding of theory thus amounts to embracing the view that prediction is achievable within a circumscribed field of study. Such an embrace is non-controversial in natural science. However, within the realm of management studies, it necessitates and smuggles in a strawman view of human existence, one which does not accommodate freedom and responsibility. This limitation of management theory explains its inadequate utility. This article argues that alternative avenues for management research exist. JEL CLASSIFICATION: M10

Presentation given at the ATLAS Science Policy Panel, 23 March 2017 held at the European Parliament, Brussels.

"In Cooking Data Crystal Biruk offers an ethnographic account of research into the demographics of HIV and AIDS in Malawi to rethink the production of quantitative health data. While research practices are often understood within a clean/dirty binary, Biruk shows that data is never clean; rather, it is always 'cooked' during its production and inevitably entangled with the lives of those who produce it. Examining how the relationships among fieldworkers, supervisors, respondents, and foreign demographers shape data, Biruk examines the ways in which units of information--such as survey questions and numbers written onto questionnaires by fieldworkers--acquire value as statistics that go on to shape national AIDS policy. Her approach illustrates how on-the-ground dynamics and research cultures mediate the production of global health statistics in ways that impact local economies and formulations of power and expertise."--