Butt Sameera, Mahmood Asif, Saleem Saima, Rashid Tayyiba, Ikram Amir
Institute of Quality and Technology Management, University of the Punjab, Lahore, Pakistan.
Department of Business Studies, Namal Institute, Mianwali, Pakistan.
Front Psychol. 2021 Nov 4;12:759227. doi: 10.3389/fpsyg.2021.759227. eCollection 2021.
The 2019 Pandemic has forced students to take online classes, increasing their stress levels and negatively impacting their academic performance. This issue urges the development of a mechanism to make online learning more effective in this nerve-racking time. Therefore, the present study has integrated the task technology fit (TTF) model and the DeLone and McLean Model of Information Systems Success (DMISM) to address the stated issue. The data were collected from 330 and 326 students of top-ranked public and private universities of Punjab, respectively. The theoretical framework was analyzed with the help of structural equation modeling (SEM) using Analysis of Moment Structures (AMOS). The findings indicate that overall quality positively predicts performance through the mediating role of user satisfaction and TTF. The overall quality also positively elevates performance through the mediating role of user satisfaction and actual usage of the system. Moreover, perceived usefulness proved to be a moderator between overall quality and user satisfaction. Finally, the expected practical and theoretical implications have also been discussed.
2019年的疫情迫使学生参加在线课程，这增加了他们的压力水平，并对他们的学业成绩产生了负面影响。这个问题促使人们开发一种机制，以便在这个令人焦虑的时期让在线学习更有效。因此，本研究整合了任务技术适配（TTF）模型和信息系统成功的DeLone和McLean模型（DMISM）来解决上述问题。数据分别从旁遮普邦排名靠前的公立和私立大学的330名和326名学生中收集。借助结构方程模型（SEM）中的矩结构分析（AMOS）对理论框架进行了分析。研究结果表明，总体质量通过用户满意度和TTF的中介作用正向预测绩效。总体质量还通过用户满意度和系统的实际使用的中介作用正向提升绩效。此外，感知有用性被证明是总体质量和用户满意度之间的调节变量。最后，还讨论了预期的实践和理论意义。
