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Measuring and Managing Performance in Organizations (eBook)
240 Seiten
Pearson Education (Verlag)
978-0-13-348840-1 (ISBN)
This is the digital version of the printed book.
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!
This is the digital version of the printed book (Copyright (c) 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, "e;We believe this is a book that needs to be on the desk of just about anyone who manages anything."e; 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!
Erscheint lt. Verlag | 15.7.2013 |
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Sprache | englisch |
Themenwelt | Mathematik / Informatik ► Informatik ► Software Entwicklung |
ISBN-10 | 0-13-348840-3 / 0133488403 |
ISBN-13 | 978-0-13-348840-1 / 9780133488401 |
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