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An Examination of the Technology Acceptance Model in Uruguay and the US: A Focus on Culture

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  • Scott McCoy
  • Andrea Everard
  • Brian M. Jones

Abstract

In recent years, there has been a large body of literature devoted to the acceptance and use of information technology. Researchers have built on the work of Davis to refine the technology acceptance model (TAM) and to use it in various research settings to predict acceptance of information systems. The present study extends that research into Latin America by examining email usage among two distinct populations and investigating possible moderating effects that Hofstede's four cultural dimensions have on the TAM constructs. We examine potential moderating effects by using inferential statistics to test the hypotheses of this research. Our findings indicate that TAM functions well across cross-cultural boundaries but in their current form, it is impossible to test the impact of the individual culture dimensions on the relationships in the TAM model. To address this obstacle an alternative to Hofstede's measurement is suggested for future research.

Suggested Citation

  • Scott McCoy & Andrea Everard & Brian M. Jones, 2005. "An Examination of the Technology Acceptance Model in Uruguay and the US: A Focus on Culture," Journal of Global Information Technology Management, Taylor & Francis Journals, vol. 8(2), pages 27-45, April.
    • Handle: RePEc:taf:ugitxx:v:8:y:2005:i:2:p:27-45
    DOI: 10.1080/1097198X.2005.10856395
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    Cited by:

    1. Revels, Janeaya & Tojib, Dewi & Tsarenko, Yelena, 2010. "Understanding consumer intention to use mobile services," Australasian marketing journal, Elsevier, vol. 18(2), pages 74-80.
    2. Rahman Ummeh Habiba Faria Benteh & Zafar Muhammad Khubaib, 2020. "Factors Influencing Uber Adoption In Bangladesh And Pakistan," Open Economics, De Gruyter, vol. 3(1), pages 86-97, January.
    3. Ben Sebian & Simin Ghaviferkr & Atila Yildirim, 2023. "Adoption and use of statistical software support in higher education: a cross-national analysis," Quality & Quantity: International Journal of Methodology, Springer, vol. 57(5), pages 4633-4656, October.
    4. Małecka, Agnieszka & Mitręga, Maciej & Mróz-Gorgoń, Barbara & Pfajfar, Gregor, 2022. "Adoption of collaborative consumption as sustainable social innovation: Sociability and novelty seeking perspective," Journal of Business Research, Elsevier, vol. 144(C), pages 163-179.
    5. Dennis D. Fehrenbacher, 2013. "Investigation of the Social Demographic Factors Underpinning Consumers’ Adoption of Information Technology: The Case of Online Banking," LWS Working papers 14, LIS Cross-National Data Center in Luxembourg.
    6. Smith, Rachel & Deitz, George & Royne, Marla B. & Hansen, John D. & Grünhagen, Marko & Witte, Carl, 2013. "Cross-cultural examination of online shopping behavior: A comparison of Norway, Germany, and the United States," Journal of Business Research, Elsevier, vol. 66(3), pages 328-335.
    7. Rahman Ummeh Habiba Faria Benteh & Zafar Muhammad Khubaib, 2020. "Factors Influencing Uber Adoption In Bangladesh And Pakistan," Open Economics, De Gruyter, vol. 3(1), pages 86-97, January.
    8. Emmanuel Senior Tenakwah & Emmanuel Junior Tenakwah & Mary Amponsah & Sarah Eyaa & Elliot Boateng & Nekpen Okhawere, 2022. "Adoption of Sustainable Technologies during Crisis: Examining Employees’ Perception and Readiness across Cultures," Sustainability, MDPI, vol. 14(8), pages 1-20, April.
    9. Lorenz Graf-Vlachy & Katharina Buhtz & Andreas König, 2018. "Social influence in technology adoption: taking stock and moving forward," Management Review Quarterly, Springer, vol. 68(1), pages 37-76, February.

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