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Research Article

EEO. 2021; 20(4): 46-52


Investigating Technostress as Moderating Information Quality and E-Learning Effectiveness on Students in Jakarta During the Covid19 Pandemic

Michael Christian, Eko Retno Indriyarti, Suryo Wibowo.




Abstract

Uncertainty over the end of the Covid-19 pandemic in Indonesia, especially in Jakarta, inevitably causes adjustments to the online lecture method that must be carried out even though in its implementation there is a policy adjustment in technical implementation. Covid-19 is an unexpected event and lasts a long time. This makes universities must prepare strategies in online teaching methods that can be adapted to several types of conditions. However, this policy is quite a complex challenge with the presence of several problems for lecturers and students in the lecture process using information communication technology media in the form of e-learning. The existing elearning media comes with all forms of strengths and weaknesses. Ranging from easy to use to complex ones. This study aims to investigate the effect of information quality on the effectiveness of e-learning by using the technostress factor as a moderator. This quantitative research uses the Structural Equation Modeling (SEM) model with Partial Least Square (PLS). A total of 127 students who are at least in the 2nd year of private universities in Jakarta were sampled in this study. The results of this study explain that technostress as a moderating factor has an influence on the relationship of information quality to the effectiveness of e-learning. In addition, quality and technology directly affect the effectiveness of e-learning. Subsequent research may involve other factors that can affect the effectiveness of e-learning such as cost loads, limited connections in certain areas, or the ability of students to provide adequate equipment. This suggestion is expected to enrich understanding of the effectiveness of online media used in universities with certain time conditions such as a pandemic.

Key words: Technostress, effectiveness, e-learning, information, quality






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