Significant predictors of information technology innovation adoption

James E. Yao, June Lu, Chang Liu and Qiyang Chen

International Journal of Innovation and Learning, 2004, vol. 1, issue 2, 177-191

Abstract: Organisations need to constantly adopt new technological innovations, in one way or another, in order to improve or keep their efficiencies or competitive advantages in business. The present study examines asynchronous transfer mode (ATM) technology adoption in universities to investigate if there is a significant relationship between ATM technology adoption and university size, type, finance and information processing maturity. The results provided significant evidence that there is a statistically significant relationship between each of these variables and ATM technology adoption in universities. Correspondingly, these organisational variables can serve as predictors of other IT adoptions in other settings, such as in firms or financial institutions.

Keywords: information; technology; innovation; adoption; organisation; ATM; IT. (search for similar items in EconPapers)
Date: 2004
References: Add references at CitEc
Citations:

Downloads: (external link)
http://www.inderscience.com/link.php?id=3719 (text/html)
Access to full text is restricted to subscribers.

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:ids:ijilea:v:1:y:2004:i:2:p:177-191

Access Statistics for this article

More articles in International Journal of Innovation and Learning from Inderscience Enterprises Ltd
Bibliographic data for series maintained by Sarah Parker ().