Antecedents and consequences of e‐learning acceptance

By Yung-Ming Cheng. Information Systems Journal, 2011

300 citations recorded by the source corpus.

Subfields: Communication, Information Systems and Management, Sociology and Political Science

View Paper: https://www.semanticscholar.org/paper/45d31bd33a5f4a59a345eb8ece76e49209111fac

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Citations in the corpus

Exploring Students’ Acceptance of E-Learning Through the Development of a Comprehensive Technology Acceptance Model (2019, background): “It has been shown by various studies that behavioral intention directly and significantly influences the actual use (AU) of e-learning system [39], [40], [56], [92]–[94].”
Perceived fit and satisfaction on web learning performance: IS continuance intention and task-technology fit perspectives (2012, background): “Cheng (2011) proposes that the use of a web-based learning system could positively affect perceived performance impacts.”
Investigating the influence of the most commonly used external variables of TAM on students' Perceived Ease of Use (PEOU) and Perceived Usefulness (PU) of e-portfolios (2016, background): “(Davis et al ., 1992, p.1116; Venkatesh et al ., 2003, p.456; Cheng, 2011, p.282; Lefievre, 2012, p.13; Park, Son et al ., 2012, p.383; Cheng, 2012, p.37; Zhang, Zhao & Tan, 2008, p.314; Lin et al ., 2010, p.491) ENJOY2 The actual process of using the e-portfolio is pleasant.”
E-learning success determinants: Brazilian empirical study (2017, unknown): “C E-learning acceptance predictors were studied by Cheng (2011), who concluded that perceived usefulness, ease of use, perceived enjoyment, network externality factor, system factor, individual factors, and social factors are the main determinants of acceptance of the e-learning systems.”
Developing a General Extended Technology Acceptance Model for E-Learning (GETAMEL) by analysing commonly used external factors (2016, background): “05 Cheng (2011) CSE E-learning system Employees 328 NO 0.020 p > 0.05 Cheng (2011) ISE E-learning system Employees 328 NO 0.004 p > 0.05 Lee et al. (2011) E-learning system Employees 357 NO 0.145 NS Lee et al. (2013) E-learning system Employees 332 NO 0.071 NS Ma et al. (2013) E-learning system Empl”
Evaluating E-learning systems success: An empirical study (2020, background): “However, as the technology becomes increasingly reliable and accessible, recent research has focused more on students' and instructors' attitudes and interactions, which play a vital role in e-learning success (Cheng, 2011; Liaw, Huang, & Chen, 2007; Selim, 2007).”