Please use this identifier to cite or link to this item: https://dair.nps.edu/handle/123456789/4212
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dc.contributor.authorNingning Wu-
dc.contributor.authorM. Eduard Tudoreanu-
dc.contributor.authorSanketh Siruvolu-
dc.contributor.authorRichard Wang-
dc.contributor.authorJohn R. Talburt-
dc.date.accessioned2020-12-02T20:38:48Z-
dc.date.available2020-12-02T20:38:48Z-
dc.date.issued2020-04-13-
dc.identifier.citationPublished--Unlimited Distributionen_US
dc.identifier.urihttps://dair.nps.edu/handle/123456789/4212-
dc.descriptionAcquisition Management / Defense Acquisition Community Contributoren_US
dc.description.abstractThe publicly accessible acquisition databases at www.usaspending.gov and www.fpds.gov contain rich contract information from all U.S. departments for the last two decades. Hidden in these huge data repositories may be patterns that are unknown yet potentially useful for acquisition research and practice. This proposal is a continuation of the last two years of research that were included in the Acquisition Research Program Symposium. It aims to utilize information from the web to identify the distribution of federal contractors in areas at high risk of natural disasters. The work is part of an ongoing research project whose ultimate goal is to develop a risk assessment framework that can help acquisition decision-makers assess potential risks to a supply chain or project and mitigate such risks.en_US
dc.description.sponsorshipAcquisition Research Programen_US
dc.language.isoen_USen_US
dc.publisherAcquisition Research Programen_US
dc.relation.ispartofseriesFederal Acquisition Databases;-
dc.subjectData Analyticsen_US
dc.subjectRisk Assessmenten_US
dc.subjectNatural Disastersen_US
dc.titleAnalysis of Contractor Data in Federal Acquisition Databasesen_US
dc.typeArticleen_US
Appears in Collections:Annual Acquisition Research Symposium Proceedings & Presentations

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