Colin Harrison
An e-maturity analysis explains intention–behavior disjunctions in technology adoption in UK schools
Harrison, Colin; Tom�s, Carmen; Crook, Charles
Authors
Carmen Tom�s
Charles Crook
Abstract
This paper addresses the problem of non-significant intention–behavior effects in educational technology adoption, based on a reanalysis of data from the Impact09 project, a UK-government funded evaluation of technology use in high schools in England that had been selected as representing outstanding Information and Communications Technologies (ICT) innovation. The reanalysis focuses on intentionality and teleology, and attempts to combine an ecological perspective with a critical analysis of the intention–behavior correlations among participants, particularly teachers and head teachers. The concept of self-regulation is also considered as a determinant of behavior. The study reports a qualitative analysis of extensive interview data from four schools, and makes use of Underwood’s concept of ‘linkage e-maturity’. Traditional models of technology acceptance often assumed a steady trajectory of innovation, but such studies failed to explain uneven patterns of adoption. In this reanalysis, an emphasis on learning practices and e-maturity, interpreted within local and system-wide ecological contexts, better explained uneven adoption patterns.
Citation
Harrison, C., Tomás, C., & Crook, C. (2014). An e-maturity analysis explains intention–behavior disjunctions in technology adoption in UK schools. Computers in Human Behavior, 34, https://doi.org/10.1016/j.chb.2013.10.042
Journal Article Type | Article |
---|---|
Online Publication Date | Nov 8, 2013 |
Publication Date | May 31, 2014 |
Deposit Date | Apr 13, 2016 |
Publicly Available Date | Apr 13, 2016 |
Journal | Computers in Human Behavior |
Print ISSN | 0747-5632 |
Electronic ISSN | 1873-7692 |
Publisher | Elsevier |
Peer Reviewed | Peer Reviewed |
Volume | 34 |
DOI | https://doi.org/10.1016/j.chb.2013.10.042 |
Keywords | Information and communications technologies; Evaluation; Technology adoption; Maturity modeling; Linkage e-maturity; Self-regulation |
Public URL | https://nottingham-repository.worktribe.com/output/727994 |
Publisher URL | http://www.sciencedirect.com/science/article/pii/S0747563213003920 |
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Copyright information regarding this work can be found at the following address: http://creativecommons.org/licenses/by-nc-nd/4.0
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