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Please use this identifier to cite or link to this item: https://dair.nps.edu/handle/123456789/4403
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dc.contributor.authorDavid Gill, Timothy Hawkins-
dc.date.accessioned2021-05-18T21:12:36Z-
dc.date.available2021-05-18T21:12:36Z-
dc.date.issued2021-05-10-
dc.identifier.citationPublished--Unlimited Distributionen_US
dc.identifier.urihttps://dair.nps.edu/handle/123456789/4403-
dc.descriptionAcquisition Management / Defense Acquisition Community Contributoren_US
dc.description.abstractAwarding federal contracts is perceived as an excessively lengthy process. The purpose of this research is threefold: (1) to understand the drivers of procurement administrative lead time (PALT), (2) to identify opportunities to reduce PALT, and (3) to predict when specific requirements are likely to be awarded. These analyses will be performed using newly available, government-wide data for over 5 million federal contracts.en_US
dc.description.sponsorshipAcquisition Research Programen_US
dc.language.isoen_USen_US
dc.publisherAcquisition Research Programen_US
dc.relation.ispartofseriesAcquisition Management;SYM-AM-21-096-
dc.subjectContractingen_US
dc.subjectProcurement Administrative Lead Timeen_US
dc.subjectBig Data Analyticsen_US
dc.subjectPALTen_US
dc.subjectPredictive Modelingen_US
dc.subjectMachine Learningen_US
dc.subjectData Visualizationen_US
dc.subjectTime to Contract Awarden_US
dc.titleHow Long Does It Take to Award a Government Contract? Understanding PALT Time Frames with Big Data Analyticsen_US
dc.typeBook chapteren_US
Appears in Collections:Annual Acquisition Research Symposium Proceedings & Presentations

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