Plan For Research And Publications In Public Administration

This cutting-edge Research Handbook brings together international scholars to provide a comprehensive overview of motivation within and beyond the field of public administration. Discussing the implications of contemporary research for theory and practice, it offers suggestions for the development of future research in the field.

Evidence-based management (EBMgt) derives principles of good management from scientific research, meta-analysis, case studies, and literature reviews, and then translates them into practice. Highly developed in medicine, this technique is just now beginning to be applied to business and public administration. Evidence-Based Public Management is the first systematic assessment of EBMgt and its potential application in public management. The book is designed to present an overview of EBMgt, identify effective ways of applying evidence in public management, guide public managers in applying evidence, and guide public management researchers in more effectively translating their research into practice. In addition to a thorough overview of the principles of EBMgt, the book also includes applied chapters devoted to the practical concerns of public management: performace-based management; human capital management; IT management; leadership development; and health care administration.

Research Methods for Public Administrators contains a thorough overview of research methods and statistical applications for advanced undergraduate and graduate students, and practitioners. The material is based on established social science methods. Concepts and applications are discussed and illustrated with examples from actual research. The book covers research design, methods of data collection, instructions on formulating research plans, measurement, sampling procedures, and statistical applications from basic statistics to more advance techniques. The basics of conducting experiments, survey research, case studies, and focus groups are discussed. Data organization, management, and analysis are also covered, as are data analysis and hypothesis testing. Descriptive and inferential statistics are discussed and illustrated with examples. The book also includes a chapter on obtaining and analyzing secondary data (data already collected for other purposes) and a chapter on reporting and presenting research results to a variety of audiences. This is a general textbook written primarily for students of public administration and practitioners in public and not-for-profit organizations. It includes materials shown to be useful in gathering and assessing information for making decisions and implementing policies. The material is discussed at a level to be accessible and with enough detail to be useful. New to the seventh edition: Additional and expanded material on qualitative research, big data, metadata, literature reviews, and causal inference New material on experiments and experimental research New examples and case studies, including those dealing with public policy Expanded material on using computers for data management Information on new NSF and NIH ethics and protection of human subjects requirements for researchers New data sets and Power Point slides for each chapter.

USA. Partly annotated bibliography of publications relating to administrative aspects of economic planning and social planning - includes publications on economic administration, social change, economic development, public administration, community development, industrialization, programme planning and budgeting, etc.

This book summarizes the current state of research on strategic planning and offers an agenda for future research. The book edition comes with a new introduction that argues that strategising by public, non-profit and business organisations should be a major focus of research. Strategising is what links aspirations, capabilities, and implementation. Strategic planning should be viewed as one approach, but not the only approach, to strategising. A focus on strategising prompts researchers to consider issues of vertical and horizontal alignment of purpose, including across sectors; competence and scalability; co-production; decision-making and change management; and trust, transparency, authenticity and accountability. Additionally, the role of various strategising techniques and information technology should be analysed further. Beyond the book’s introductory overview of the field, chapters focus on the following topics: planning styles collaboration, strategic plans, and government performance impacts of context and political responsibilities on government strategic planning efforts impacts of strategic planning in municipal governments impacts of austerity on strategic planning and government performance The chapters in this book were originally published as a special issue of the journal, Public Management Review.

This volume covers the background, process, and tools needed to introduce and guide students through to a successful action research (AR) project. Included are how to initiate, plan, and complete AR within all types of organisations in business, non-profit, and public administration. Graphic organisers and a modular sequence of topics help students manage the steps involved in AR practice. A protocol for weekly report writing, informed consent documentation, and clear guidelines for final analyses and report writing give graduate students the efficient format they need.

The recent push toward "reinventing government" reflects an acknowledgment by politicians that citizens are thinking of themselves as consumers of government. Therefore, it has become increasingly necessary for government to respond to the needs of its "customer" by measuring citizen response to governmental initiatives. In Survey Research for Public Administration author David H. Folz clarifies the basics of survey research as they apply to public administration. This concise volume is organized around the fundamental stages of the research process: planning, design, implementation, analysis, and presentation of data. Folz fills the book with practical illustrations and does not assume an extensive background in statistics. He uses clear, jargon-free explanations of concepts and pragmatic examples that will make this volume appealing to both students and practitioners.