Please use this identifier to cite or link to this item:
https://dair.nps.edu/handle/123456789/2314
Full metadata record
DC Field | Value | Language |
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dc.contributor.author | Shane Manuel | |
dc.contributor.author | Ashley Chung | |
dc.contributor.author | Ashley Feldman | |
dc.date.accessioned | 2020-03-16T18:09:55Z | - |
dc.date.available | 2020-03-16T18:09:55Z | - |
dc.date.issued | 2018-12-01 | |
dc.identifier.citation | Published--Unlimited Distribution | |
dc.identifier.uri | https://dair.nps.edu/handle/123456789/2314 | - |
dc.description | Contract Management / Graduate Student Research | |
dc.description.abstract | The purpose of our research is to develop a procurement administrative lead time (PALT) prediction model for sole-source contract awards greater than $500 million at Air Force Life Cycle Management Center. The scope of our research is confined to PALT, which is the number of days between solicitation release and contract award. Our research team uses an Ordinary Least Squares regression to model the relationship between our response variable, PALT, and twelve explanatory variables. Based on our results, we found five statistically significant variables and their effects sign and magnitude on PALT. The model accounts for 90.05% of the variation in PALT. Accurately predicting a schedule provides commanders and decision-makers with the ability to make better strategic business decisions to support the warfighter. | |
dc.description.sponsorship | Acquisition Research Program | |
dc.language | English (United States) | |
dc.publisher | Acquisition Research Program | |
dc.relation.ispartofseries | Acquisition | |
dc.relation.ispartofseries | NPS-CM-19-026 | |
dc.subject | Procurement Administrative Lead Time | |
dc.subject | PALT | |
dc.subject | Sole-Source | |
dc.subject | Ordinary Least Squares | |
dc.title | Factors Influencing the PALT of Sole-Source Acquisitions Greater Than $500 Million | |
dc.type | Technical Report | |
Appears in Collections: | NPS Graduate Student Theses & Reports |
Files in This Item:
File | Size | Format | |
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NPS-CM-19-026.pdf | 1.03 MB | Adobe PDF | View/Open |
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