Determinants of Restaurant Employees’ Technology Use Intention: Validating Technology Acceptance Model with External Factors via Structural Equation Model

Sunny Ham (), Woody G. Kim () and Hazel W. Forsythe
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Sunny Ham: University of Kentucky
Woody G. Kim: Florida State University
Hazel W. Forsythe: University of Kentucky

A chapter in Information and Communication Technologies in Tourism 2008, 2008, pp 441-452 from Springer

Abstract: Abstract The study aims to examine if the Technology Acceptance Model (TAM) works for restaurant operations in using computing systems. In addition, we pursued other external variables, not included in the original TAM, to see how they affect perceived ease of use, perceived usefulness, and intention to use. These included user characteristics, system quality and organizational support. The survey collected data from restaurants in Kentucky, and the response rate was 25% based on the total contacts eligible. SPSS 15.0 and AMOS 7.0 were used for the data analysis. Structural Equation Modeling (SEM) was the primary analysis used to examine the proposed hypotheses developed in fulfilling the study objectives. The SEM statistics supported all the proposed hypotheses but one. The SEM results were interpreted relative to industry implications.

Keywords: TAM; Restaurant computing systems; external factors; SEM (search for similar items in EconPapers)
Date: 2008
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-211-77280-5_39

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DOI: 10.1007/978-3-211-77280-5_39

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