Investigating users' perspectives on e-learning: An integration of TAM and IS success model

By Hossein Mohammadi. Computers in Human Behavior, 2015

783 citations recorded by the source corpus.

Subfields: Communication, Education, Information Systems and Management

View Paper: https://www.semanticscholar.org/paper/44a816099e739b9b923c92f8cb84f010e417278f

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Citations in the corpus

Developing a Holistic Success Model for Sustainable E-Learning: A Structural Equation Modeling Approach (2021, background): “It relates to the efficiency, accuracy, and technical success of IS because it accounts for the absence or existence of bugs in the systems [35].”
The imperative of influencing citizen attitude toward e-government adoption and use (2015, positive): “…Elena, & Straub, 2003; Pavlou and Fygenson; 2006), mobile commerce (e.g. Fang, Chan, Brzezinski, & Xu, 2006), e-learning (e.g. Cheung & Vogel, 2013; Mohammadi, 2015), mobile government (e.g. Liu et al., 2014; Wang, 2014) and e-government (e.g. Al-Hujran et al., 2013; Alomari et al., 2012; Carter &…”
Using an extended Technology Acceptance Model to understand students’ use of e-learning during Covid-19: Indonesian sport science education context (2020, positive): “Similar reports from previous researchers confirmed this finding (Mohammadi, 2015; Ramírez-Correa et al., 2015; Zhang et al., 2008).”
Integrating Technology Acceptance Model With Innovation Diffusion Theory: An Empirical Investigation on Students’ Intention to Use E-Learning Systems (2019, background): “Both the user satisfaction and behavioral intention to use thereof are the determining factors of the success of E-Learning [12], [13].”
Security-related factors in extended UTAUT model for NFC based mobile payment in the restaurant industry (2017, background): “In TAM literature, perceived risk primarily appears as the antecedent of perceived usefulness, or the perceived enhancement of specific performance due to the application of a particular system (Mohammadi, 2015; Ortega Egea & Román González, 2011).”
Effects of COVID-19 in E-learning on higher education institution students: the group comparison between male and female (2020, background): “Figure 1 showed the original D&M Model having Six interdependent dimensions (DeLone and McLean 1992; Mohammadi 2015).”
Learning with mobile technologies - Students' behavior (2017, background): “…all the items with communalities less than 0.7 were removed in order to obtain a good convergent validity scale (Gefen, Straub, & Boudreau, Please cite this article in press as: Briz-Ponce, L., et al., Learning with mob (2016), http://dx.doi.org/10.1016/j.chb.2016.05.027 2000; Mohammadi, 2015).”
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].”
Evaluating E-learning systems success: An empirical study (2020, background): “…e-learning success factors to maximize the effectiveness of these systems (e.g., Ali & Ahmad, 2011; Fathema, Shannon, & Ross, 2015; Islam, 2013; B. C. Lee, Yoon, & Lee, 2009; J. K. Lee & Lee, 2008; M. C. Lee, 2010; Mohammadi, 2015; Mtebe & Raphael, 2018; Park, 2009; Wahab, 2008; Wang, 2003)).”
Understanding consumer intention to participate in online travel community and effects on consumer intention to purchase travel online and WOM: An integration of innovation diffusion theory and TAM with trust (2016, positive): “This model has been used in a variety of studies to explore the factors affecting individual's use of new technology (Mohammadi, 2015; Venkatesh & Davis, 2000).”