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.
翻译:学生们对疫苗有效性的看法受到免疫迟疑的影响,这影响到电子学习平台的接受,因此,这项研究的目的是根据采用不同变量的概念模型审查电子学习平台的接受后情况,每个变量对电子学习平台的接受后情况作出了不同的贡献。在目前研究中使用了一个混合模型,其中采用技术接受模式的决定因素与其他外部因素,如对疫苗接种的恐惧、常规使用感、感知享受、感知临界质量和自我效率,这直接与电子学习平台的接受后接受有关。关于这一专题的早期研究的重点是不同环境和国家接受电子学习的重要性。然而,在这项研究中,利用一种混合概念模型审查了在海湾地区新广泛使用电子学习平台的情况。过去主要使用的结构性方程式模型(SEM)中进行的经验研究;然而,这项研究使用了一项不断演变的模型分析,而这一模型的每项结果也是以不断演变的混合分析为基础的。