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An Outsourcing Acceptance Model: An Application of TAM to Application Development Outsourcing Decisions

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  • John Benamati

    (Miami University, USA)

  • T.M. Rajkumar

    (Miami University, USA)

Abstract

The use of outsourcing is expanding rapidly. This study empirically tests a model of application development outsourcing acceptance based on the technology acceptance model (TAM). TAM suggested perceived usefulness and ease of use mediate the effects of other variables on users’ attitudes towards a technology. The model tested in this study suggests perceived usefulness and ease of use of outsourcing mediate the effects of the external environment, prior outsourcing relationships, and risks on decision-makers’ attitude toward application development outsourcing. One hundred and sixty respondents to a survey sent to 3000 IT decision makers provided data to confirm the applicability of TAM and the influences of these external variables. Support for applying TAM in this alternative context was found. Three sub-dimensions of risk, project management, relationship, and employee risk emerged. Project management and employee risks along with prior relationships were found to significantly influence decision maker perceptions about application development outsourcing.

Suggested Citation

  • John Benamati & T.M. Rajkumar, 2008. "An Outsourcing Acceptance Model: An Application of TAM to Application Development Outsourcing Decisions," Information Resources Management Journal (IRMJ), IGI Global, vol. 21(2), pages 80-102, April.
    • Handle: RePEc:igg:rmj000:v:21:y:2008:i:2:p:80-102
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    Cited by:

    1. Roya Gholami & Alemayehu Molla & Suparna Goswami & Christopher Brewster, 0. "Green information systems use in social enterprise: the case of a community-led eco-localization website in the West Midlands region of the UK," Information Systems Frontiers, Springer, vol. 0, pages 1-17.
    2. Rongting Zhou & Dong Wang & Ahmad Nabeel Siddiquei & Muhammad Azfar Anwar & Ali Hammad & Fahad Asmi & Qing Ye & Muhammad Asim Nawaz, 2019. "GMO/GMF on Social Media in China: Jagged Landscape of Information Seeking and Sharing Behavior through a Valence View," IJERPH, MDPI, vol. 16(23), pages 1-19, December.
    3. Roya Gholami & Alemayehu Molla & Suparna Goswami & Christopher Brewster, 2018. "Green information systems use in social enterprise: the case of a community-led eco-localization website in the West Midlands region of the UK," Information Systems Frontiers, Springer, vol. 20(6), pages 1345-1361, December.
    4. Li, Yibai & Wang, Xuequn & Lin, Xiaolin & Hajli, Mohammad, 2018. "Seeking and sharing health information on social media: A net valence model and cross-cultural comparison," Technological Forecasting and Social Change, Elsevier, vol. 126(C), pages 28-40.
    5. 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.

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