As performance management becomes better integrated into businesses, attitudes and approaches to it are evolving. Through case studies and detailed practice examples from leading international organizations, this text addresses the increasing demand for managers in all sectors to manage and measure staff performance.

The lifeblood of any business enterprise is its people. Yet it wasn’t until the publication of the groundbreaking book The ROI of Human Capital that there was a reliable way to quantify the contributions of people to corporate profit. Completely updated with new metrics, the book shows executives and HR professionals how to gauge human costs and productivity at three critical levels: organizational (contributions to corporate goals) • functional (impact on process improvement) • human resources management (value added by five basic HR department activities) The second edition contains new material on topics including corporate outsourcing, developments in behavioral science, and advances in trending and forecasting that have dramatically changed the way organizations measure the bottom line effect of employee performance. Utterly up-to-date, this is the go-to resource for organizations performing the essential task of measuring the value of their people.

Although ability testing has been an American preoccupation since the 1920s, comparatively little systematic attention has been paid to understanding and measuring the kinds of human performance that tests are commonly used to predictâ€"such as success at school or work. Now, a sustained, large-scale effort has been made to develop measures that are very close to actual performance on the job. The four military services have carried out an ambitious study, called the Joint-Service Job Performance Measurement/Enlistment Standards (JPM) Project, that brings new sophistication to the measurement of performance in work settings. Volume 1 analyzes the JPM experience in the context of human resource management policy in the military. Beginning with a historical overview of the criterion problem, it looks closely at substantive and methodological issues in criterion research suggested by the project: the development of performance measures; sampling, logistical, and standardization problems; evaluating the reliability and content representativeness of performance measures; and the relationship between predictor scores and performance measuresâ€"valuable information that can also be useful in the civilian workplace.

Based on open source principles of transparency, participation, and collaboration, "open management" challenges conventional business ideas about what companies are, how they run, and how they make money. This book provides the blueprint for putting it into practice in your own firm. He covers challenges that have been missing from the conversation to date, among them: how to scale engagement; how to have healthy debates that net progress; and how to attract and keep the "Social Generation" of workers. Through a mix of vibrant stories, candid lessons, and tested processes, Whitehurst shows how Red Hat has blown the traditional operating model to pieces by emerging out of a pure bottom up culture and learning how to execute it at scale. And he explains what other companies are, and need to be doing to bring this open style into all facets of the organization.

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!