CCE Theses and Dissertations

Campus Access Only

All rights reserved. This publication is intended for use solely by faculty, students, and staff of Nova Southeastern University. No part of this publication may be reproduced, distributed, or transmitted in any form or by any means, now known or later developed, including but not limited to photocopying, recording, or other electronic or mechanical methods, without the prior written permission of the author or the publisher.

Date of Award


Document Type

Dissertation - NSU Access Only

Degree Name

Doctor of Philosophy in Information Systems (DISS)


Graduate School of Computer and Information Sciences


Yair Levy

Committee Member

Laurie P. Dringus

Committee Member

Marlyn K. Littman


Attitude toward e-learning systems, Computer self-efficacy, Intention to use e-learning systems, Perceived value, Resistance to change, Two-year college instructors


Instructors' use of e-learning systems in higher education institutions is a central concern of researchers, academicians, and practitioners. Higher education institutions are investing substantial resources to incorporate and maintain the infrastructure of e-learning systems; however, instructors' use of e-learning systems in two-year colleges is relatively limited. In this context, the goal of this study was to investigate the factors that may affect instructors' intention to use e-learning systems in two-year colleges. Based on literature review on technology acceptance, this study proposed a theoretical model predicting instructors' intention to use e-learning systems in two-year colleges based on their resistance to change, perceived value of e-learning systems, computer self-efficacy (CSE), and attitude toward e-learning systems. Consequently, this study investigated the effect of four independent variables on the dependent variable, intention to use e-learning systems.

A Web-based survey was designed to empirically assess the effect of aforementioned constructs on instructors' intention to use e-learning systems in two-year colleges. The Web-based survey was developed as a multi-item measure using Likert-type scales. Existing validated scales were used to develop the Web-based survey. The target population of this study was instructors of public and private two-year colleges. The sample for this study was 119 (over 41% response rate) full-time, part-time, and adjunct instructors in different academic departments at a two-year college.

Two statistical methods were used to formulate and test predictive models: Multiple Linear Regression (MLR) and Ordinal Logistic Regression (OLR). Both MLR and OLR results showed that the theoretical model was able to predict instructors' intention to use e-learning systems. All four independent variables have significant effects on the dependent variable. Results of both analyses were consistent on resistance to change as having the greatest weight on predicting instructors' intention to use e-learning systems, while CSE in both analyses was found to have the least weight.

This study contributes to the body of knowledge by providing empirical results for the key constructs that affect two-year college instructors' intention to use e-learning systems. Results of this research may also help IT practitioners to concentrate their efforts on ways to address resistance to change as it was found to be the most significant factor affecting e-learning accepted by two-year college instructors.

To access this thesis/dissertation you must have a valid OR email address and create an account for NSUWorks.

Free My Thesis

If you are the author of this work and would like to grant permission to make it openly accessible to all, please click the Free My Thesis button.

  Contact Author

  Link to NovaCat