Artificial Intelligence Systems: Unique Challenges for Defense Applications
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Authors
Johnson, Bonnie
Subjects
Advisors
Date of Issue
2021-05-10
Date
05/10/21
Publisher
Monterey, California. Naval Postgraduate School
Language
Abstract
This study aims to measure the technology transition performance of 252 small firms that won the U.S. Department of Defense (DoD) Small Business Innovation Research (SBIR) Phase II awards from 2001 to 2010 and filed more than 15 patents ("elite DoD SBIR awardees") and to explore how social, industrial, and geospatial contexts influence the performance. For the purpose, we first employ two-stage, dynamic Data Envelopment Analysis (DEA) that incorporates network building sub-process as well as R&D and commercialization sub-processes and then utilize Tobit regression analysis. We find two implications. One of them is that more than a quarter of the elite DoD SBIR awardees are efficient and their efficiency scores of about a half are higher than 60%. The other is that their strong networks with big-sized funders and their high-tech concentration are positively associated with the technology transition performance whereas locational factors are not significantly related with the performance.
Type
Presentation
Description
Series/Report No
Department
Organization
Identifiers
NPS Report Number
SYM-AM-21-087
Sponsors
Prepared for the Naval Postgraduate School, Monterey, CA 93943.
Naval Postgraduate School
Naval Postgraduate School
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Citation
Distribution Statement
Approved for public release; distribution is unlimited.
Approved for public release; distribution is unlimited.
Approved for public release; distribution is unlimited.
Rights
This publication is a work of the U.S. Government as defined in Title 17, United States Code, Section 101. Copyright protection is not available for this work in the United States.