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Early Predictive Indicators of Contractor Performance: A Data-Analytic Approach [Mīkstie vāki]

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  • Formāts: Paperback / softback, 108 pages, height x width x depth: 279x216x6 mm, weight: 272 g, Illustrations
  • Izdošanas datums: 31-Jul-2022
  • Izdevniecība: RAND Corporation
  • ISBN-10: 1977409547
  • ISBN-13: 9781977409546
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Early Predictive Indicators of Contractor Performance: A Data-Analytic ApproachPalielināt
  • Formāts: Paperback / softback, 108 pages, height x width x depth: 279x216x6 mm, weight: 272 g, Illustrations
  • Izdošanas datums: 31-Jul-2022
  • Izdevniecība: RAND Corporation
  • ISBN-10: 1977409547
  • ISBN-13: 9781977409546
Citas grāmatas par šo tēmu:
Permanent link: https://www.kriso.lv/db/9781977409546.html
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This report presents initial insights and approaches in exploring and prototyping methods to identify potential contractor performance risks for the Department of the Air Force earlier than would be typically reported via traditional methods.

About This Report iii
Summary vi
Figures
xi
Tables
xii
1 The Challenge: Early Identification of Contractor Execution Problems in Acquisition
1(14)
Early Identification of Execution Problems
1(3)
Validity of the Measures
4(1)
Complementary Identification of Relative Contractor Risks
5(3)
Operationalization: Business Intelligence for Acquisition Professionals
8(1)
Data Streams and Risk Evaluation
9(4)
Operationalization of a Prototype
13(1)
Organization of This Report
14(1)
2 Indicators of Performance
15(28)
Qualitative Indicators: Detecting Performance Issues Buried in Textual Reports
17(4)
Quantitative Indicators of Performance
21(3)
Cost Metrics
24(7)
Schedule Metrics
31(6)
Joint Cost and Schedule Metrics
37(3)
Contract Health Metric
40(1)
Opportunities for Future Capabilities
41(1)
Summary
42(1)
3 Prototype Structure and Approach
43(16)
User Interface
43(1)
Intended Uses
44(9)
Combining Performance Measures
53(4)
Observations
57(1)
Architecture Overview
57(2)
4 Insights, Conclusions, and Next Steps
59(1)
Insights on Data Utility and Availability
59(1)
Conclusions 60(1)
Next Steps 61(3)
Appendix A Sentiment Modeling and Analysis and Modeling of Free-Text Assessments and Associated Ratings 64(10)
Appendix B Assessing Final Cost and Schedule Using a Rayleigh Function 74(11)
Abbreviations 85(3)
References 88