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

In: Information and Communication Technologies in Tourism 2008

Author

Listed:
  • Sunny Ham

    (University of Kentucky)

  • Woody G. Kim

    (Florida State University)

  • Hazel W. Forsythe

    (University of Kentucky)

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.

Suggested Citation

  • Sunny Ham & Woody G. Kim & Hazel W. Forsythe, 2008. "Determinants of Restaurant Employees’ Technology Use Intention: Validating Technology Acceptance Model with External Factors via Structural Equation Model," Springer Books, in: Peter O’Connor & Wolfram Höpken & Ulrike Gretzel (ed.), Information and Communication Technologies in Tourism 2008, pages 441-452, Springer.
    • Handle: RePEc:spr:sprchp:978-3-211-77280-5_39
    DOI: 10.1007/978-3-211-77280-5_39
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