User Acceptance of Voice Recognition Technology: An Empirical Extension of the Technology Acceptance Model

User Acceptance of Voice Recognition Technology: An Empirical Extension of the Technology Acceptance Model

Steven John Simon (Mercer University, USA) and David Paper (Utah State University, USA)
Copyright: © 2007 |Pages: 27
DOI: 10.4018/joeuc.2007010102
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Abstract

Voice recognition technology-enabled devices possess extraordinary growth potential, yet some research indicates that organizations and consumers are resisting their adoption. This study investigates the implementation of a voice recognition device in the United States Navy. Grounded in the social psychology and information systems literature, the researchers adapted instruments and developed a tool to explain technology adoption in this environment. Using factor analysis and structural equation modeling, analysis of data from the 270 participants explained almost 90% of the variance in the model. This research adapts the technology acceptance model by adding elements of the theory of planned behavior, providing researchers and practitioners with a valuable instrument to predict technology adoption.

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