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Relative Contractor Risks: A Data-Analytic Approach to Early Identification
William Shelton
(Author)
·
Philip S. Anton
(Author)
·
James Ryseff
(Author)
·
Rand Corporation
· Paperback
Relative Contractor Risks: A Data-Analytic Approach to Early Identification - Philip S. Anton; William Shelton; James Ryseff; Stephen B. Joplin; Megan Mckernan; Chad J. R. Ohlandt; Samantha Cohen
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Origin: U.S.A.
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Synopsis "Relative Contractor Risks: A Data-Analytic Approach to Early Identification"
A recurring challenge to successful acquisition program execution is poor contractor performance. Air Force officials asked RAND Corporation researchers to develop and prototype data-analytic methods on a variety of government and commercial data sources to assess relative contractor performance risks in Air Force acquisition contracts and programs. They present initial insights and approaches in exploring and prototyping these methods.
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All books in our catalog are Original.
The book is written in English.
The binding of this edition is Paperback.
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