A causal comparative factorial analysis of factors affecting service level agreements in a U.S. Navy enterprise information systems network

<p>This paper presents the results of a research study related to the Navy and Marine Corps Intranet (NMCI). This study used MANOVA and one-way ANOVA, including post hoc tests, to analyze data sets corresponding to service level agreement metrics for over 300 Navy sites. Within the NMCI network, factors size, server farm, Network Operations Center (NOC), area, region, and group are affecting the performance metrics as defined in the service level agreements (SLA). Each one of the factors is statistically disparate for at least one SLA. Checks for normality indicate nonnormal behavior for most data sets. The results, conclusions, and recommendations have been provided to Navy service level managers to improve the system.</p>

Name thesis:degree_name

Master of Science (MS)

Level thesis:degree_level

Open Access Thesis

Discipline thesis:degree_discipline

Engineering Technology

Year

2006

Author dc:creator

• Quintana, Jamie Lee

Contributors dc:contributor

• Tracy Tillman, PhD, Chair
• Robert Chapman, PhD
• Hiral Shah

• Multivariate analysis Data processing
• Information technology Management
• Management information systems
• Intranets (Computer networks)
• United States. Navy Management
• Engineering

Repository record dc:identifier

https://commons.emich.edu/theses/65

OAI identifier oai:identifier

oai:commons.emich.edu:theses-1064