000			01876nam a22001577a 4500
999			_c528044 _d528044
008			241105b ||||| |||| 00| 0 eng d
100			_aSharma, Bhuvanesh Kumar, Kumar, V. V. Ravi and Bhatt, Vimal KamleshKumar _959417
245			_aFactors influencing e-learning technology among youth in India: An extended TAM model
260			_aManagement and Labour Studies
300			_a49(3), Aug, 2024: p.504-526
520			_aGiven the pandemic that hit the world, there was suddenly an increased focus on E-learning. This study aimed at determining the various factors that influence the youth of India to opt for E-learning. This study was conceptualized based on the technology acceptance model and integrating social influence (SI) and perceived enjoyment (PE) as additional constructs to determine the attitude (AT) and behavioural intention (BI) towards E-learning. The study also proposes a basic framework of knowledge for E-learning, a shift from traditional classroom learning, which is not researched adequately in previous literature. The sample for this research study were postgraduate students drawn by non-probability judgment and snowball sampling. Data analysis was performed using structural equation modelling, cross-tabulation and Pearson correlation with the help of SPSS Amos software. The results of the study concluded that AT significantly mediates between perceived usefulness, perceived ease of use, SI, PE, and BI. Additionally, the study determined the classroom and E-learning preferences of students comparatively.- Reproduced https://journals.sagepub.com/doi/full/10.1177/0258042X231208588
650			_aE-learning, Technology acceptance model (ATM) Pre & pandemic, Behavioural intention (BI), Perceived enjoyment (PE), Social influence (SI). _948568
773			_aManagement and Labour Studies
906			_aE-LEARNING
942			_cAR