<p> What guides the decision-making process of individuals has been the focus of psychologists, theologians, and scientists since the beginning of time. Understanding the processes surrounding decision theories is critical in the development of products and services destined for a target audience. Without proper application of decision theory throughout the design and development phases of a delivery, the chances of failure in achieving adoption could represent a significant loss of time, material, and resources. The purpose of this research study was to investigate three factors potentially influencing adoption and implementation of server virtualization technologies in small businesses with fewer than 100 employees within the New York State area, through the utilization of cross-sectional and univariate statistical techniques focused on server virtualization technology adoption. The three factors, (a) virtualization solution costs, (b) Solution reliability, and (c) Solution training requirements, are evaluated for the impact on initial user need (UN) as identified within the Lazy User Theory in Solution Selection (LUTSS) serving as the basis in virtualization adoption. There have been several decision theories developed in an attempt to understand the acceptance pattern and explain why others fail spectacularly. The study to determine LUTSS fit was correlational and non-experimental in a design relying on a one-time, self-administered survey instrument. The adoption theory analysis in virtualization technology adoption was not consistent, based on perception characteristics of training as the solution set selection motivator. Identification of compliance with six of the research questions, and corresponding null hypotheses presented within the theoretical and conceptual frameworks, was used as a key indicator. Future research should evaluate if other variables may influence user need and user state, with the objective of furthering the development of a theory extending the Lazy User Theory of Solution Selection.</p><p>
| Identifer | oai:union.ndltd.org:PROQUEST/oai:pqdtoai.proquest.com:10934042 |
| Date | 28 September 2018 |
| Creators | Solt, Donald Lee, Jr. |
| Publisher | Northcentral University |
| Source Sets | ProQuest.com |
| Language | English |
| Detected Language | English |
| Type | thesis |
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