Achieving Excellence in Cloud-Based E-Learning Systems: Exploring Quality Factors and Benefits

Abstract

Purpose: This study examines the effectiveness and advantages of cloud-based e-learning platforms in Kuwait, integrating concepts from Information System Success Model (ISSM) and Technology Acceptance Model (TAM). It investigates the impact of system quality (SQ), service quality (SRQ), and information quality (IQ) in cloud computing (CC) on user satisfaction (SAT), perceived ease of use (PEOU), and perceived usefulness (PU). Furthermore, it examines how PEOU and usefulness affect SAT and the role of SAT in mediating benefits. Study design/methodology/approach: Survey data were used to analyze relationships in 15 hypotheses using SmartPLS structural equation modelling. Sample and data: The empirical data were gathered from a sample of 221 college students. Results: The analysis revealed that several hypotheses were rejected, including SRQ on SAT, PU, and PEOU, which were found to be insignificant. Similarly, IQ did not exhibit a significant effect on SAT and PU, yet it did have an impact on PEOU. Consequently, it was found that the SAT only mediates the relationship between SQ and benefits. The study further explores potential explanations for these insignificant findings. Originality/value: Despite limited research on cloud computing learning platforms, this study sheds light on the intricate dynamics among these variables and the overall benefits of such platforms in Kuwait.Research limitations/implications: The unexpected insignificant relationships, such as SRQ, suggest practical implications, including the need to re-evaluate the providers’ approaches to customer service. Using services that are more tailored to specific contexts may be beneficial. The timing and context of the study could limit its generalizability.