Determinants of Online learning performance during Covid 19: The study of online management systems and the user satisfaction

Abstract

Purpose: The main purpose of the study is to examine the impact of the system quality,
information quality, and service quality on the user satisfaction and actual usage of students
regarding online learning systems. Meanwhile, the study has also examined the mediating role of
user satisfaction and actual usage between the system quality, information quality, and service
quality and performance influence of Students regarding online learning systems.
Method: For the data analysis we have used the SEM-PLS, which is one of the most robust
statistical techniques to analyze the data related to social issues involving path relations. The
measurement of the variables is taken from prior studies. The data is collected from the students
studying in Chinese public universities.
Results: The findings indicate that the greater the interactivity, flexibility, reliability, and
responsiveness of online learning offered by online learning in accessing up-to-date and accurate
information, the more satisfied and pleased are students to rely on this service. The students
consider the system to be in line with their needs and requirements. Students regarding online
learning system is also influenced by the satisfaction of students and the real usage of online
learning. Once students consider online learning necessary in the completion of academic
activities, the real usage and satisfaction of students increases as well that resulting in improved
performance. The level with which the quality of work is improved by using a system along with
the achievement of set tasks, reduced errors, improved performance, and job control is referred
to as performance impact.
Research Limitations/Implications: The basic determinant having the most significant influence
on students' academic performance was task-technology-fit (TTF), based on performanceimportance
map analyses. Practitioners must incorporate task-technology-fit (TTF) in the
implementation and promotion of online learning activities across public universities of China.
Practical Implications: It has been the first attempt by any researcher to incorporate compatibility
and task-technology-fit (TTF) as mediators with reference to study online learning effectiveness.
Thus, a significant contribution has been made by this research to a local body of IS expertise
related to online learning.