  There are several reasons why the fear of vaccination has caused population
rejection. Questions have been raised by students regarding the effectiveness
of vaccines, which in turn has led to vaccination hesitancy. Students
perceptions are influenced by vaccination hesitancy, which affects the
acceptance of e-learning platforms. Hence, this research aimed to examine the
post-acceptance of e-learning platforms on the basis of a conceptual model that
employs different variables. Distinct contribution is made by every variable to
the post-acceptance of e-learning platforms. A hybrid model was used in the
current study in which technology acceptance model (TAM) determinants were
employed along with other external factors such as fear of vaccination,
perceived routine use, perceived enjoyment, perceived critical mass, and
self-efficiency which are directly linked to post-acceptance of e-learning
platforms. The focus of earlier studies on this topic has been on the
significance of e-learning acceptance in various environments and countries.
However, in this study, the newly-spread use of e-learning platforms in the
gulf area was examined using a hybrid conceptual model. The empirical studies
carried out in the past mainly used structural equation modelling (SEM)
analysis; however, this study used an evolving hybrid analysis approach, in
which SEM and the artificial neural network (ANN) that are based on deep
learning were employed. The importance-performance map analysis (IPMA) was also
used in this study to determine the significance and performance of each
factor. The proposed model is backed by the findings of data analysis.
