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Early Predictive Indicators of Contractor Performance: A Data-Analytic Approach - Softcover

 
9781977409546: Early Predictive Indicators of Contractor Performance: A Data-Analytic Approach

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Early identification of risks or problems in contract execution is critical for proactive acquisition management. The authors describe a new way to apply data science to disparate and disjointed government and external data sources to highlight the relative contractor performance risks and provide earlier indicators of performance issues in Department of the Air Force acquisition contracts and programs than current sources and metrics do.

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ANTON/MCKERNAN/SHELTON/COHEN/RYSEFF/JOHN
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ISBN 10: 1977409547 ISBN 13: 9781977409546
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Anton, Philip S.
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ISBN 10: 1977409547 ISBN 13: 9781977409546
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Anton, Philip S.; Shelton, William; Ryseff, James; Cohen, Samantha; Johnson, Grant; Joplin, Stephen B.; Kravitz, David; McKErnan, Megan; Vigo Camargo, Alejandro
Published by RAND Corporation, 2022
ISBN 10: 1977409547 ISBN 13: 9781977409546
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Anton, Philip S.; Shelton, William; Ryseff, James; Cohen, Samantha; Johnson, Grant; Joplin, Stephen B.; Kravitz, David; McKErnan, Megan; Vigo Camargo, Alejandro
Published by RAND Corporation, 2022
ISBN 10: 1977409547 ISBN 13: 9781977409546
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Anton, Philip S.; Shelton, William; Ryseff, James; Cohen, Samantha; Johnson, Grant; Joplin, Stephen B.; Kravitz, David; McKErnan, Megan; Vigo Camargo, Alejandro
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Anton, Philip S.; Shelton, William; Ryseff, James; Cohen, Samantha; Johnson, Grant; Joplin, Stephen B.; Kravitz, David; McKErnan, Megan; Vigo Camargo, Alejandro
Published by RAND Corporation, 2022
ISBN 10: 1977409547 ISBN 13: 9781977409546
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Anton, Philip S.
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ISBN 10: 1977409547 ISBN 13: 9781977409546
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Philip S Anton
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Anton, Philip S./ Shelton, William/ Ryseff, James/ Cohen, Samantha/ Johnson, Grant
Published by Rand Corp, 2022
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Philip S Anton
Published by RAND Corporation Jul 2022, 2022
ISBN 10: 1977409547 ISBN 13: 9781977409546
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Taschenbuch. Condition: Neu. Neuware - Getting early indication of potential contractor performance risks and contract execution issues is critical for proactive acquisition management. When contractors are in danger of not meeting contractual performance goals, Department of the Air Force (DAF) acquisition management may not be fully aware of the shortfall until, for example, a schedule deadline is missed, government testing indicates poor system's technical performance, or costs exceed expectations. Concerns continue to be raised about cost and schedule growth in acquisition and experts postulate about a lack of knowledge about the status of acquisition programs. In this report, the authors focus on metrics to identify emerging execution problems earlier than traditional acquisition oversight systems to enable more-proactive risk and performance management. They summarize their findings, which include a taxonomy of contractor relative risks, leading indicators of performance, relevant data sources, risk measures and equations, and a prototype that implements some of these findings using real data sources. This research should be of interest to acquisition professionals and leadership who are searching for ways to improve acquisition performance through early identification of potential relative contractor risks and execution problems to inform active program management and mitigation of risks. The prototype should be of interest to acquisition officials (from program managers to milestone decision authorities) to help them access more data in an easy-to-understand way so they can focus their limited time on areas that require increased management attention. This approach should be useful during any phase of the acquisition process. Seller Inventory # 9781977409546

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