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

Geoffrey Greenfield and Fiona Rohde

International Journal of Accounting Information Systems, 2009, vol. 10, issue 4, 263-272

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.

Keywords: Technology acceptance; Not-for-profit; Volitional control; Attitude (search for similar items in EconPapers)
Date: 2009
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (4)

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S1467089509000396
Full text for ScienceDirect subscribers only

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eee:ijoais:v:10:y:2009:i:4:p:263-272

DOI: 10.1016/j.accinf.2009.10.001

Access Statistics for this article

International Journal of Accounting Information Systems is currently edited by S.V. Grabski

More articles in International Journal of Accounting Information Systems from Elsevier
Bibliographic data for series maintained by Catherine Liu ().