Title: Significant predictors of information technology innovation adoption

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

Addresses: Department of Information and Decision Sciences, School of Business, Montclair State University, 1 Normal Avenue, Upper Montclair, NJ 07043, USA. ' School of Business, University of Houston – Victoria, 3007 N Ben Wilson, Victoria, TX 77901, USA. ' Department of Operations Management and Information Systems, College of Business, Northern Illinois University, Dekalb, IL 60115, USA. ' Department of Information and Decision Sciences, School of Business, Montclair State University, 1 Normal Avenue, Upper Montclair, NJ 07043, USA. Department of Sociology, Anthropology and Social Work, Mississippi State University, PO Box C, MS State, MS 39762, USA

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.

DOI: 10.1504/IJIL.2004.003719

International Journal of Innovation and Learning, 2004 Vol.1 No.2, pp.177 - 191

Published online: 20 Dec 2003 *

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