Significant predictors of information technology innovation adoption

James E. Yao, June Lu, Chang Liu, Qiyang Chen, Xiaohe Xu

Research output: Contribution to journalArticlepeer-review

12 Scopus citations

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.

Original languageEnglish
Pages (from-to)177-191
Number of pages15
JournalInternational Journal of Innovation and Learning
Volume1
Issue number2
DOIs
StatePublished - 1 Jan 2004

Keywords

  • adoption
  • ATM
  • information
  • innovation
  • IT
  • organisation
  • technology

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