Investigating the determinants and age and gender differences in the acceptance of mobile learning

By Yi-Shun Wang, Ming-Cheng Wu, Hsiu-Yuan Wang. British Journal of Educational Technology, 2009

1,260 citations recorded by the source corpus.

Subfields: Information Systems and Management, Sociology and Political Science

View Paper: https://www.semanticscholar.org/paper/315d5531981022ae8e2a1739727d5292fc5bf8a4

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Citations in the corpus

Investigating the impacting factors for the healthcare professionals to adopt artificial intelligence-based medical diagnosis support system (AIMDSS) (2018, positive): “Manyexistingstudiesdemonstratedthateffortexpectancypositivelyinﬂuencesbehav-ioralintentiontouseanewITsuchasinternetbanking(AbushanabandPearson2007),mobile learning(Wangetal.2009),EMRsystem(Kimetal.2016)etc. Theeasiertooperateanew IT,themoreactivetheyaretouseit.”
Assessing the moderating effect of gender differences and individualism-collectivism at individual-level on the adoption of mobile commerce technology: TAM3 perspective☆ (2015, background): “Many studies have reported that gender has an influencing role on consumers’ perceptions toward adoption of information technology (Venkatesh and Morris, 2000; Venkatesh et al., 2003; Venkatesh and Bala, 2008; Wang et al., 2009; Zhang, 2009; Riquelme and Rios, 2010; Dong and Zhang, 2011).”
Demographic differences in perceived benefits from gamification (2014, background): “However, in some contexts, such as mobile learning, men instead of women have been reported to be influenced by social factors (Wang et al., 2009).”
Perceived Convenience in an Extended Technology Acceptance Model: Mobile Technology and English Learning for College Students. (2012, methodology): “However, a study on ubiquitous computing by Yoon and Kim (2007) extended TAM with perceived convenience and found that perceived convenience did not affect intention to use directly, and their extended TAM did not include attitude toward using as an indicator of technology acceptance.”
The unified theory of acceptance and use of technology (UTAUT): a literature review (2015, methodology): “He and Lu (2007a) Model 1 Yes No Yes x Yes Yes Model 2 No No Yes x Yes Yes Model 3 No No Yes x Yes Yes He and Wei (2009) x x x x Yes Yes Hung et al. (2007) Yes Yes Yes x Yes Yes Hutchison and Bekkering (2009) No No No No x x Jayasingh and Eze (2009) x x Yes x x x Johnston and Warkentin (2010) x x Ye”