Financial measures have traditionally been the cornerstone of the perform ance measurement system. In recent years, there has been a shift from treating financial figures as the foundation for performance measurement to treating them as one among a broader set of potential financial measures. Changes in cost structures and the manufacturing and competi tive environment have been responsible for the change of emphasis. In today's worldwide competitive environment companies are compet ing in terms of product quality, delivery, reliability, after-sales service and customer satisfaction. None of these variables are measured by traditional financial measures, despite the fact that they represent the major goals of world-class manufacturing companies. By focusing mainly on financial variables there is a danger that the performance reporting system will motivate managers to focus exclusively on cost reduction and short-term profitability and ignore many of the critical factors that determine long-term business success. The key to success, in today's global economy, is total customer satisfaction. To achieve this, companies must develop performance measures that drive employees to control processes that satisfy customer expectations. In particular, performance measures should provide process-level information that motivates employees to achieve the responsiveness and flexibility that companies require to compete on a global basis. Responsiveness is achieved by building relationships that lead to satisfied customers, suppliers and employees. Flexibility is achieved by reducing output variation in proceSfes; for example, the reduction of lead times and delays are both necessary for sustained competitive excellence and long-term profitability.

This is the digital version of the printed book (Copyright © 1996). Based on an award-winning doctoral thesis at Carnegie Mellon University, Measuring and Managing Performance in Organizations presents a captivating analysis of the perils of performance measurement systems. In the book’s foreword, Peopleware authors Tom DeMarco and Timothy Lister rave, “We believe this is a book that needs to be on the desk of just about anyone who manages anything.” Because people often react with unanticipated sophistication when they are being measured, measurement-based management systems can become dysfunctional, interfering with achievement of intended results. Fortunately, as the author shows, measurement dysfunction follows a pattern that can be identified and avoided. The author’s findings are bolstered by interviews with eight recognized experts in the use of measurement to manage computer software development: David N. Card, of Software Productivity Solutions; Tom DeMarco, of the Atlantic Systems Guild; Capers Jones, of Software Productivity Research; John Musa, of AT&T Bell Laboratories; Daniel J. Paulish, of Siemens Corporate Research; Lawrence H. Putnam, of Quantitative Software Management; E. O. Tilford, Sr., of Fissure; plus the anonymous Expert X. A practical model for analyzing measurement projects solidifies the text–don’t start without it!

The social sector is undergoing a major transformation. We are witnessing an explosion in efforts to deliver social change, a burgeoning impact investing industry, and an unprecedented intergenerational transfer of wealth. Yet we live in a world of rapidly rising inequality, where social sector services are unable to keep up with societal need, and governments are stretched beyond their means. Alnoor Ebrahim addresses one of the fundamental dilemmas facing leaders as they navigate this uncertain terrain: performance measurement. How can they track performance towards worthy goals such as reducing poverty, improving public health, or advancing human rights? What results can they reasonably measure and legitimately take credit for? This book tackles three core challenges of performance faced by social enterprises and nonprofit organizations alike: what to measure, what kinds of performance systems to build, and how to align multiple demands for accountability. It lays out four different types of strategies for managers to consider—niche, integrated, emergent, and ecosystem—and details the types of performance measurement and accountability systems best suited to each. Finally, this book examines the roles of funders such as impact investors, philanthropic foundations, and international aid agencies, laying out how they can best enable meaningful performance measurement.

"Once touted as the single best way to measure students from diverse backgrounds, schools, and experiences, standardized college admissions tests are now criticized for being hopelessly biased in favor of traditionally privileged groups. Out of this has emerged the test-optional movement that seeks to allow students to apply to schools without sitting through the rigors of the SAT. This book takes a step back and applies rigorous empirical measurements to these rival claims. Drawing upon the expertise of higher education researchers, admissions officers, enrollment managers, and policy professionals, this edited volume is among the first to investigate the research and policy implications of test-optional practices. It was conceived in response to the editors' frustration with the fragmented and incomplete state of the literature around the contemporary debate on college admissions testing. Many students, teachers, parents, policymakers--frankly, nearly anyone immediately outside the testing industry and college admissions--have little understanding of how admissions tests are used. This lack of transparency has often fueled beliefs that college assessments are biased, misused, or overused. Decades of research on various aspects of testing, such as the predictive validity of assessments, makes a compelling case for their value. But all-too-frequently researchers and admissions officers talk past one another instead of engaging substantively. This collection intends to remedy the situation by bringing these disparate voices together. This book is designed for provosts, enrollment managers, and college admissions officers seeking to strike the proper balance between uniformity and fairness"--

An Essential Reference for Intermediate and Advanced R Programmers Advanced R presents useful tools and techniques for attacking many types of R programming problems, helping you avoid mistakes and dead ends. With more than ten years of experience programming in R, the author illustrates the elegance, beauty, and flexibility at the heart of R. The book develops the necessary skills to produce quality code that can be used in a variety of circumstances. You will learn: The fundamentals of R, including standard data types and functions Functional programming as a useful framework for solving wide classes of problems The positives and negatives of metaprogramming How to write fast, memory-efficient code This book not only helps current R users become R programmers but also shows existing programmers what’s special about R. Intermediate R programmers can dive deeper into R and learn new strategies for solving diverse problems while programmers from other languages can learn the details of R and understand why R works the way it does.