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This is the first book to fully introduce a newly developed distance friction minimization (DFM) model, which is one of the new efficiency improvement projection approaches in data envelopment analysis (DEA). The DFM model can produce a most effective solution in efficiency improvement projections for inefficient spatial entities (decision-making units). The book provides a set of fresh contributions to a quantitative assessment of the performance of such policy entities. First it offers a state-of-the art overview of current DEA models and approaches, followed by the operational design of various new types of DEA models, each of them addressing weaknesses in traditional DEA approaches. Then it illustrates the assessment potential of DEA — and its new variants, in particular, the DFM model and subsequent extensions — on the basis of a broadly composed collection of empirical case studies, centering mainly but not exclusively on Japan and other Asian nations.
The nation's physical infrastructure facilitates movement of people and goods; provides safe water; provides energy when and where needed; removes wastes; enables rapid communications; and generally supports our economy and quality of life. Developing a framework for guiding attempts at measuring the performance of infrastructure systems and grappling with the concept of defining good performance are the major themes of this book. Focusing on urban regions, within a context of national policy, the volume provides the basis for further in-depth analysis and application at the local, regional, state, and national levels.
In a world where there is increasing demand for the performance of health providers to be measured, there is a need for a more strategic vision of the role that performance measurement can play in securing health system improvement. This volume meets this need by presenting the opportunities and challenges associated with performance measurement in a framework that is clear and easy to understand. It examines the various levels at which health system performance is undertaken, the technical instruments and tools available, and the implications using these may have for those charged with the governance of the health system. Technical material is presented in an accessible way and is illustrated with examples from all over the world. Performance Measurement for Health System Improvement is an authoritative and practical guide for policy makers, regulators, patient groups and researchers.
Program Evaluation and Performance Measurement: An Introduction to Practice, Second Edition offers an accessible, practical introduction to program evaluation and performance measurement for public and non-profit organizations, and has been extensively updated since the first edition. Using examples, it covers topics in a detailed fashion, making it a useful guide for students as well as practitioners who are participating in program evaluations or constructing and implementing performance measurement systems. Authors James C. McDavid, Irene Huse, and Laura R. L. Hawthorn guide readers through conducting quantitative and qualitative program evaluations, needs assessments, cost-benefit and cost-effectiveness analyses, as well as constructing, implementing and using performance measurement systems. The importance of professional judgment is highlighted throughout the book as an intrinsic feature of evaluation practice.
Mention the phrase "bottom line," and the immediate thought tends to focus on a company's financial performance. Think again! There's an equally important factor that carries tremendous impact on that final total: operational performance measures. Implementation of a performance improvement program can significantly improve a company's bottom line. Operational Performance Measurement: Increasing Total Productivity shows the way-featuring a new integrated theory of performance measurement, with a never-before-published measurement model that's applicable to any business activity. Practical procedures and guidelines directly identify the variables that should be measured; guidelines to develop measurement systems; and how to analyze, interpret, and use performance methods effectively. Numerous diagrams, tables and examples make the principles and procedures easy to understand and implement. While this performance measurement approach is simplicity itself, be prepared for powerful results! Managers can put the theory into action right away- giving them better control, improved performance, increased personal productivity-and an easier day at work! Operations, finance, administration and quality managers alike will find there's so much to gain when they're Operational Performance Measurement: Increasing Total Productivity ... and a better bottom line is just the beginning!
Performance Measurement is the first in a new series of an ongoing effort by the Institute of Medicine (IOM) to improve health care quality. Performance Measurement offers a comprehensive review of available measures and introduces a new framework to examine these measures against the six aims of the health care system: health care should be safe, effective, patient-centered, timely, efficient, and equitable. This new book also addresses the gaps in performance measurement and introduces the need for measures that are longitudinal, comprehensive, population-based, and patient-centered. This book is directed toward all concerned with improving the quality and performance of the nation's health care system in its multiple dimensions and in both the public and private sectors.
Given the significant changes in the banking environment and the resultant pressures on banks to change their systems and procedures, this book is a timely reference that provides a comprehensive analytical overview of changes in the performance measurement system (PMS) of banks in the post-financial crisis era. It explores the factors that influence such changes and examines banks’ consequential responses to institutional pressures. It is an invaluable resource for researchers and practitioners to gain insights into the concept of PMS change in both developed and developing economies.