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Technology acceptance: Not all organisations or workers may be the same

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  • Greenfield, Geoffrey
  • Rohde, Fiona

Abstract

The Technology Acceptance Model (TAM) is widely accepted by researchers in the IT field as a reliable tool able to predict acceptance of new technology by individuals. The majority of these studies have used participants (both students and non-students) from within traditional businesses functions, e.g., accounting and finance. The ability of TAM to predict technology acceptance across all situations is not well documented. During the past decade there has been an increasing interest in research within Not-for-Profit (NFP) organisations. This paper considers whether people likely to pursue careers within the NFP sector have different attitudes to technology and whether such differences affect the measures used within technology acceptance models. A survey of business and social science undergraduate students, those most likely to enter careers in the Business vs. the NFP sector, indicated differences between the two groups that may impact on the technology acceptance models.

Suggested Citation

  • Greenfield, Geoffrey & Rohde, Fiona, 2009. "Technology acceptance: Not all organisations or workers may be the same," International Journal of Accounting Information Systems, Elsevier, vol. 10(4), pages 263-272.
    • Handle: RePEc:eee:ijoais:v:10:y:2009:i:4:p:263-272
    DOI: 10.1016/j.accinf.2009.10.001
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    References listed on IDEAS

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    Cited by:

    1. Gonzalez, George C. & Sharma, Pratyush N. & Galletta, Dennis F., 2012. "The antecedents of the use of continuous auditing in the internal auditing context," International Journal of Accounting Information Systems, Elsevier, vol. 13(3), pages 248-262.
    2. Kobelsky, Kevin & Larosiliere, Gregory & Plummer, Elizabeth, 2014. "The impact of information technology on performance in the not-for-profit sector," International Journal of Accounting Information Systems, Elsevier, vol. 15(1), pages 47-65.
    3. Nathalie Demoulin & Kristof Coussement, 2018. "Acceptance of text-mining systems: The signaling role of information quality," Post-Print hal-02111772, HAL.
    4. Kelly, Edel & Heanue, Kevin & Buckley, Cathal & O'Gorman, Colm, 2015. "Proven Science versus Farmer Perception," 2015 Conference, August 9-14, 2015, Milan, Italy 229067, International Association of Agricultural Economists.

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