IPv6 acceptance in U.S. enterprise networks: An investigation with structural equation modeling

by Martey, Abraham M., Ph.D., CAPELLA UNIVERSITY, 2014, 154 pages; 3644834

Abstract:

Several years after the Internet Engineering Task Force (IETF) had declared Internet Protocol version 6 (IPv6) ready for addressing several shortcomings and performance limitations of the Internet Protocol version 4 (IPv4), the Internet has still not completely transitioned to IPv6. The literature review affirmed slow adoption of the IPv6 protocol. However, with a U.S. Federal Government mandate requiring IPv6 access to all government services by September 30, 2012, (Hogg, 2012) and the Internet Society's successful launch of the World IPv6 initiative on June 6, 2012 (Internet Society, 2012), the last bastion of resistance to IPv6 adoption was expected to be private enterprise networks. Using the Unified theory of acceptance and use of technology (UTAUT; Venkatesh et al., 2003) as the theoretical model, the study adopted a positivistic approach and a quantitative design for investigating IPv6 acceptance in U.S. enterprise networks. The main purposes of the study were to contribute to scholarship on technology acceptance theory and to explore critical factors that influence IPv6 acceptance in enterprise networks. The Partial Least Squares Structural Equation Modeling (PLS-SEM) approach and the SmartPLS Statistical Software were used for data analysis. The study results indicated that the UTAUT model did not sufficiently represent all actual relationships between the latent variables when tested on the empirical data. An unexpected outcome of the study was the revelation that IPv6 was actually predominantly deployed in U.S. enterprise networks as garnered from 86% of study participants. However, only 62% of participants claimed routine use of IPv6 applications for business operations and delivery of client services. The limitations and implications of the study are discussed and recommendations for further investigation are provided.

AdviserMartha Hollis
SchoolCAPELLA UNIVERSITY
Source TypeDissertation
SubjectsManagement; Information technology
Publication Number3644834

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