An empirical investigation of the determinants of student success in online ERP courses
Yu Zhao,
Kakoli Bandyopadhyay and
Soumava Bandyopadhyay
International Journal of Business Information Systems, 2021, vol. 37, issue 3, 400-420
Abstract:
The purpose of this research is to understand the factors that impact students' perceived learning outcomes, satisfaction, and the intention to continue using an online learning platform in enterprise resource planning (ERP)-enabled online courses. The factors considered are online learning platform quality, ERP system quality, information quality, instructor support, and student motivation. We selected SAP as the ERP system that students learn online via any online learning platform, such as Blackboard. We surveyed business students from four mid-sized state universities in the USA. Partial least squares structural equation modelling (PLS-SEM) was used to empirically test the model. The findings indicated that all factors, except instructor support, were significant determinants of learning outcomes. All factors, except information quality, were significant determinants of student satisfaction. Online learning platform quality and SAP quality were significant determinants of students' intention to continue to take online SAP-enabled courses using the current learning platform.
Keywords: enterprise resource planning; ERP; SAP; online learning; learning outcomes; satisfaction; continued use intention. (search for similar items in EconPapers)
Date: 2021
References: Add references at CitEc
Citations:
Downloads: (external link)
http://www.inderscience.com/link.php?id=116083 (text/html)
Access to full text is restricted to subscribers.
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:ids:ijbisy:v:37:y:2021:i:3:p:400-420
Access Statistics for this article
More articles in International Journal of Business Information Systems from Inderscience Enterprises Ltd
Bibliographic data for series maintained by Sarah Parker ().