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Bezig met laden... Measuring and Managing Performance in Organizationsdoor Robert D. Austin
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Meld je aan bij LibraryThing om erachter te komen of je dit boek goed zult vinden. Op dit moment geen Discussie gesprekken over dit boek. This book presents a simple and compelling mathematical model for why motivational metrics for complex work lead to dysfunction. There is also some discussion of alternatives. Highly recommended to anyone who thinks about improving performance of workers by measuring aspects of their work. ( ) Not recommended unless you're responsible for designing an incentive system for your job. Unfortunately, I fit right into the above description. In my case, there were certainly parts that were compelling as it argued that incentives chase out good behavior and replace it with dysfunctional behavior in the case of partial management supervision. If that sentence took a while to parse, you understand why it took me a good 3 months to finish this 180 page book. geen besprekingen | voeg een bespreking toe
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! Geen bibliotheekbeschrijvingen gevonden. |
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Google Books — Bezig met laden... GenresDewey Decimale Classificatie (DDC)658.3125Technology Management and auxiliary services Management Of Personnel Elements of personnel management Conditions of work and utilization of personnelLC-classificatieWaarderingGemiddelde:
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