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Technological Innovation and the Adoption of ICT in Thai Universities: A TAM Study Re-Analysed Using ANT

Technological Innovation and the Adoption of ICT in Thai Universities: A TAM Study Re-Analysed Using ANT

Arthur Tatnall
Copyright: © 2013 |Volume: 5 |Issue: 4 |Pages: 20
ISSN: 1942-535X|EISSN: 1942-5368|EISBN13: 9781466635739|DOI: 10.4018/ijantti.2013100103
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MLA

Tatnall, Arthur. "Technological Innovation and the Adoption of ICT in Thai Universities: A TAM Study Re-Analysed Using ANT." IJANTTI vol.5, no.4 2013: pp.27-46. http://doi.org/10.4018/ijantti.2013100103

APA

Tatnall, A. (2013). Technological Innovation and the Adoption of ICT in Thai Universities: A TAM Study Re-Analysed Using ANT. International Journal of Actor-Network Theory and Technological Innovation (IJANTTI), 5(4), 27-46. http://doi.org/10.4018/ijantti.2013100103

Chicago

Tatnall, Arthur. "Technological Innovation and the Adoption of ICT in Thai Universities: A TAM Study Re-Analysed Using ANT," International Journal of Actor-Network Theory and Technological Innovation (IJANTTI) 5, no.4: 27-46. http://doi.org/10.4018/ijantti.2013100103

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Abstract

This article makes use of Innovation Translation and Actor-Network Theory to re-analyse a study of Internet usage by academics in Business Schools in Public Universities in Thailand. There are a number of approaches to modelling technology adoption and this article begins by examining these and demonstrating how innovation translation can be useful. The original research, on which this article is based, was conducted in 2006 and analysed using a modified version of the Technology Acceptance Model with the support of techniques from Structured Equation Modelling. The original research suggested that only perceived usefulness, perceived ease of use and self-efficacy significantly influenced actual usage behaviour. After making use of Structured Equation Modelling it then came up with an ‘Internet Acceptance Model'. This article, on the other hand, makes use of the same data but re-analyses it making use of Actor-Network Theory and Innovation Translation. In doing so it identifies some things not shown by the original quantitative research.

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