Exploring factors influencing students’ continuance intention to use the learning management system (LMS): a multi-perspective framework

ABSTRACT

In the last decades, universities and higher education institutes have widely employed a learning management system (LMS) to monitor and manage electronic learning and teaching. Contrary to the significant role of LMS in educational settings, most research has focused on initial acceptance, and few attempts have been made to investigate factors influencing students’ continuance intention to use LMS. The present study is an effort towards this research direction by proposing an integrated model of expectation-conformation model (ECM), technology acceptance model (TAM), social influence (subjective norm), and perceived enjoyment (hedonic value). The proposed model is tested using statistical data from 153 university students from Mehralborz University (MAU), Tehran, Iran. To verify the proposed theoretical model, we ran partial least squares (PLS)/ structured equation modeling (SEM). The findings of this study reveal that the perceived usefulness is the strongest predictor of students’ continuance intention. Surprisingly, our results also indicate that students’ attitudes toward LMS and their satisfaction level exert no significant influence on continuance intention. The implications of this study and its limitations are also discussed.

KEYWORDS:

• Expectation-confirmation model (ECM)
• learning management system (LMS)
• partial least squares (PLS)
• perceived enjoyment
• subjective norm
• technology acceptance model (TAM)

Disclosure statement

No potential conflict of interest was reported by the author(s).

Additional information

Notes on contributors

Amir Ashrafi

Amir Ashrafi is a graduate student from Allameh Tabataba’i University in information technology management (ITM), Tehran, Iran. He has published a number of papers in acclaimed journals, such as International Journal of Information Management, Journal of Business & Industrial Marketing, Journal of Enterprise Information Management, and Journal of Organizational and End User Computing. His research interests include BI&A, Big Data Analytics, IT-Enabled capabilities, Technology Assimilation & Diffusion.

Ahad Zareravasan

Ahad Zareravasan is currently Post-Doctoral Researcher at the Department of Corporate Economy, Faculty of Economics and Administration Masaryk University, Brno, Czech Republic. He has published three books and a number of papers in acclaimed journals, such as the International Journal of Information Management, Expert Systems with Applications, Information Systems, International Journal of Production Research, Journal of Business and Industrial Marketing, Journal of Enterprise Information Scientia Iranica, International Journal of Data Warehousing and Mining, and International Journal of Enterprise Information Systems. His research interests include ERPs, artificial neural networks’ applications, business process outsourcing and business intelligence.

Sogol Rabiee Savoji

Sogol Rabiee Savoji received her master degree in Information Technology engineering from Mehralborz University. Her research interests include Enterprise Resource Planning Systems, Business Intelligence, and Business Process Management.

Masoumeh Amani

Masoumeh Amani received her master degree in Information Technology Management from Allameh Tabataba’i University.