Analyzing effect of fear and uncertainty avoidance on use behavior of learning management system: Post COVID-19 era

Abstract

This study examines the acceptance of mobile Learning Management Systems (LMS) in the telecom sector of Pakistan during the COVID-19 pandemic. The study employs the extended Unified Theory of Acceptance and Use of Technology (UTAUT2) to gain a deeper understanding of the factors that affect the acceptance of LMS among workers and how it is affected by the moderating impact of Fear of pandemic and uncertainty avoidance. Data were analyzed using Partial Least Squares (PLS) and Structural Equation Modeling (SEM). The results of this study indicate that social isolation, price value, and habitat have a significant impact on users’ LMS behavior. Additionally, user behavior is significantly influenced by behavioral intentions. The study also found that coronavirus fears can moderate the relationships between performance expectancy, effort expectancy, social influence, price value, and behavioral intentions. On the other hand, uncertainty avoidance moderates the relationship between performance expectancy, social influence, facilitating conditions, price value, and behavioral intentions. This study highlights the importance of understanding user acceptance of LMS in order to improve work performance, save time, and eliminate costs. The findings of this study can be used by organizations to develop strategies to increase the acceptance and usage of LMS in the workplace, especially in the context of the COVID-19 pandemic. The study also provides insight into how fear of COVID-19 and uncertainty avoidance can be taken into account when designing and implementing LMS.

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