Department of Finance and Decision Sciences
Understanding information systems continuance: The case of Internet-based learning technologies
Our research model expanded the Bhattacherjee's IS continuance model by adding a moderating effect (IS habit) to IS continuance intention and IS continued usage, postulating direct links between satisfaction and IS continued usage, as well as between prior behavior and IS continued usage. The model was tested with an Internet-based learning technology in a longitudinal setting. Data collected from 505 students were examined using partial least squares analysis. The results presented strong support for the theoretical links of IS continuance model, and for the new moderating effect. Both satisfaction and prior behavior were found to have significant impact on IS continuance. In addition, our findings confirmed the theoretical argument that the strength of intention to predict continuance was weakened by a high level of IS habit. © 2008 Elsevier B.V. All rights reserved.
e-Learning, Habit, Information systems continuance, Internet-based learning technology, Prior behavior, Satisfaction
Source Publication Title
Information and Management
Link to Publisher's Edition
Limayem, M., & Cheung, C. (2008). Understanding information systems continuance: The case of Internet-based learning technologies. Information and Management, 45 (4), 227-232. https://doi.org/10.1016/j.im.2008.02.005