Predictors of Perceived Learning Outcomes, Satisfaction, and Continued Use Intention in SAP ERP-Enabled Courses

Yu Zhao, Kakoli Bandyopadhyay and Cynthia Barnes
Additional contact information
Yu Zhao: Lamar University, USA
Kakoli Bandyopadhyay: Lamar University, USA
Cynthia Barnes: Lamar University, USA

International Journal of Enterprise Information Systems (IJEIS), 2020, vol. 16, issue 2, 54-72

Abstract: Enterprise resource planning (ERP) systems allow businesses to achieve high performance through distinctive capabilities and are one of the fastest growing areas within information systems. Many universities have adopted ERP in their management information systems (MIS) curriculum to increase the marketability of their students. Drawing on the IS success model and several constructive learning theories, this study develops a model that is predictive of students' continued ERP software use intention, satisfaction, and perceived learning outcomes. SAP is the ERP system used in this study. Business students at four mid-sized state universities in the United States were surveyed. The universities are members of the SAP University Alliance. There were 373 usable responses. Partial least squares structural equation modeling (PLS-SEM) was used to empirically test the model. The findings indicate that student motivation, perceived instructor support, and ERP system quality are strong predictors of student satisfaction, and learning outcomes. Student motivation and ERP system quality, but not perceived instructor support, are also significant predictors of continued use intention.

Date: 2020
References: Add references at CitEc
Citations:

Downloads: (external link)
http://services.igi-global.com/resolvedoi/resolve. ... 018/IJEIS.2020040104 (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:igg:jeis00:v:16:y:2020:i:2:p:54-72

Access Statistics for this article

International Journal of Enterprise Information Systems (IJEIS) is currently edited by Gianluigi Viscusi

More articles in International Journal of Enterprise Information Systems (IJEIS) from IGI Global
Bibliographic data for series maintained by Journal Editor ().