Does computer-based training impact maintenance costs and actions? An empirical analysis of the US Navy's AN/SQQ-89(v) sonar system
Robert M. McNab and
Diana I. Angelis
Applied Economics, 2014, vol. 46, issue 34, 4256-4266
Abstract:
The United States Navy decided in the early 2000s to replace traditional, instructor-led schoolhouse training with computer-based training (CBT). While employing CBT may produce gains in knowledge acquisition and lower costs for repetitive, low-skill work, there is a lack of empirical evidence whether these benefits exist for more highly skilled Navy operations. Anecdotal evidence suggests that CBT failed to sufficiently prepare new sailors for sophisticated systems' maintenance and operation. To determine the validity of this evidence, we examine how CBT has affected the AN/SQQ-89(v) sonar. We empirically analyse whether the Navy's introduction of CBT significantly altered fleet maintenance costs, actions and training requirements, by assembling a unique data set of ships, locations, personnel, maintenance costs and maintenance actions. Controlling for the Navy's plan to man the system, the number of authorized billets and the number of personnel on board, we find that CBT adversely impacts costs, actions and maintenance hours for the sonar system.
Date: 2014
References: View references in EconPapers View complete reference list from CitEc
Citations:
Downloads: (external link)
http://hdl.handle.net/10.1080/00036846.2014.955254 (text/html)
Access to full text is restricted to subscribers.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:taf:applec:v:46:y:2014:i:34:p:4256-4266
Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/RAEC20
DOI: 10.1080/00036846.2014.955254
Access Statistics for this article
Applied Economics is currently edited by Anita Phillips
More articles in Applied Economics from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().