In this book, Peter Bogetoft - THE expert on the theory and practice of benchmarking - provides an in–depth yet very accessible and readable explanation of the best way to do benchmarking, starting from the ground up." Rick Antle William S. Beinecke Professor of Accounting, Yale School of Management CFO, Compensation Valuation, Inc. "I highly recommend this well-written and comprehensive book on measuring and managing performance. Dr. Bogetoft summarizes the fundamental mathematical concepts in an elegant, intuitive, and understandable way." Jon A. Chilingerian Professor, Brandeis University and INSEAD "Bogetoft gives in his book Performance Benchmarking an excellent introduction to the methodological basis of benchmarking." Christian Parbøl Director, DONG Energy "This book is the primer on benchmarking for performance management." Albert Birck Business Performance Manager, Maersk Oil "This excellent book provides a non technical introduction for performance management." Misja Mikkers, Director, Dutch Health Care Authority "With this very well written and comprehensive introduction to the many facets of benchmarking in hand, organizations have no excuse for not applying the best and cost effective benchmarking methods in their performance assessments." Stig P. Christensen Senior R&D Director, COWI
Planning in a general sense is concerned with the design of communication and decision making mechanisms in organizations where information and choice are decentralized. Non-cooperative planning theory as it is developed in this book treats the incentive aspects hereof. It stresses how strategic behavior and opportunism may impede planning, and how this can be coped with via the organization of communication and decision making, the design of information and control systems, and the development of incentive schemes. In particular, the book contains a thorough investigation of incentive provision in information production.
In this book, Peter Bogetoft - THE expert on the theory and practice of benchmarking - provides an in–depth yet very accessible and readable explanation of the best way to do benchmarking, starting from the ground up." Rick Antle William S. Beinecke Professor of Accounting, Yale School of Management CFO, Compensation Valuation, Inc. "I highly recommend this well-written and comprehensive book on measuring and managing performance. Dr. Bogetoft summarizes the fundamental mathematical concepts in an elegant, intuitive, and understandable way." Jon A. Chilingerian Professor, Brandeis University and INSEAD "Bogetoft gives in his book Performance Benchmarking an excellent introduction to the methodological basis of benchmarking." Christian Parbøl Director, DONG Energy "This book is the primer on benchmarking for performance management." Albert Birck Business Performance Manager, Maersk Oil "This excellent book provides a non technical introduction for performance management." Misja Mikkers, Director, Dutch Health Care Authority "With this very well written and comprehensive introduction to the many facets of benchmarking in hand, organizations have no excuse for not applying the best and cost effective benchmarking methods in their performance assessments." Stig P. Christensen Senior R&D Director, COWI
This book covers recent advances in efficiency evaluations, most notably Data Envelopment Analysis (DEA) and Stochastic Frontier Analysis (SFA) methods. It introduces the underlying theories, shows how to make the relevant calculations and discusses applications. The aim is to make the reader aware of the pros and cons of the different methods and to show how to use these methods in both standard and non-standard cases. Several software packages have been developed to solve some of the most common DEA and SFA models. This book relies on R, a free, open source software environment for statistical computing and graphics. This enables the reader to solve not only standard problems, but also many other problem variants. Using R, one can focus on understanding the context and developing a good model. One is not restricted to predefined model variants and to a one-size-fits-all approach. To facilitate the use of R, the authors have developed an R package called Benchmarking, which implements the main methods within both DEA and SFA. The book uses mathematical formulations of models and assumptions, but it de-emphasizes the formal proofs - in part by placing them in appendices -- or by referring to the original sources. Moreover, the book emphasizes the usage of the theories and the interpretations of the mathematical formulations. It includes a series of small examples, graphical illustrations, simple extensions and questions to think about. Also, it combines the formal models with less formal economic and organizational thinking. Last but not least it discusses some larger applications with significant practical impacts, including the design of benchmarking-based regulations of energy companies in different European countries, and the development of merger control programs for competition authorities.
Cooperatives and cooperative payment schemes, cost, and profit sharing rules are found in all sectors of society - including law and consultancy, insurance and finance, health, housing, utility, and, of course, agriculture. This book develops an economic framework for assessing different cooperative payment schemes. First, a number of relevant criteria (properties) are defined, then the book analyzes how well different schemes fulfill these criteria under alternative production and market conditions. The book is aimed at professionals involved in the design and use of payment schemes, as well as students and researchers at universities. The book includes a number of practical examples from the agro-industrial sector. The criteria and schemes are also illustrated with simple numerical examples and graphics. For the more technically minded, there are specially highlighted sections containing formalized mathematical presentations.
The author's experiences in many organizational and cultural contexts are reflected in this book's selection from his writings during the past twenty years. They portray an evolution in his mind-set - from rational to ethical to spiritual perspectives on leadership. This evolution is not just a personal matter; it reflects developments that are taking place, although usually tacitly, at the individual and corporate level throughout the world. A primary motivation underlying the development of the book is to inspire leaders as well as teachers and students of leadership to integrate their hearts, minds and souls when making decisions, and to develop the awareness and conviction that wise and successful leadership is concerned not only with effectiveness and wealth generation, but also with contributing to the well-being and fulfilment of all those whom one serves as a leader. The book is divided into six interrelated themes: Morals and Ethics; Ethical Accounting; Values and Leadership; Identity; Responsibility; and Spiritual-based Leadership.
This book is an in-depth guide to effective scientific research. Ranging from the philosophical to the practical, it explains at the outset what science can – and can’t – achieve, and discusses its relationship to mathematics and laws. The author then pays extensive attention to the scientific method, including experimental design, verification, uncertainty and statistics. A major aim of the book is to help young scientists reflect upon the deeper aims of their work and make the best use of their talents in contributing to progress. To this end, it also includes sections on planning research, on presenting one’s findings in writing, as well as on ethics and the responsibilities of scientists.
Data science is the foundation of our modern world. It underlies applications used by billions of people every day, providing new tools, forms of entertainment, economic growth, and potential solutions to difficult, complex problems. These opportunities come with significant societal consequences, raising fundamental questions about issues such as data quality, fairness, privacy, and causation. In this book, four leading experts convey the excitement and promise of data science and examine the major challenges in gaining its benefits and mitigating its harms. They offer frameworks for critically evaluating the ingredients and the ethical considerations needed to apply data science productively, illustrated by extensive application examples. The authors' far-ranging exploration of these complex issues will stimulate data science practitioners and students, as well as humanists, social scientists, scientists, and policy makers, to study and debate how data science can be used more effectively and more ethically to better our world.
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.
Cooperatives and cooperative payment schemes, cost, and profit sharing rules are found in all sectors of society - including law and consultancy, insurance and finance, health, housing, utility, and, of course, agriculture. This book develops an economic framework for assessing different cooperative payment schemes. First, a number of relevant criteria (properties) are defined, then the book analyzes how well different schemes fulfill these criteria under alternative production and market conditions. The book is aimed at professionals involved in the design and use of payment schemes, as well as students and researchers at universities. The book includes a number of practical examples from the agro-industrial sector. The criteria and schemes are also illustrated with simple numerical examples and graphics. For the more technically minded, there are specially highlighted sections containing formalized mathematical presentations.
This will help us customize your experience to showcase the most relevant content to your age group
Please select from below
Login
Not registered?
Sign up
Already registered?
Success – Your message will goes here
We'd love to hear from you!
Thank you for visiting our website. Would you like to provide feedback on how we could improve your experience?
This site does not use any third party cookies with one exception — it uses cookies from Google to deliver its services and to analyze traffic.Learn More.