Understanding information systems continuance: The case of Internet-based learning technologies

By Moez Limayem, Christy M. K. Cheung. Information Manager (The), 2008

552 citations recorded by the source corpus.

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

View Paper: https://www.semanticscholar.org/paper/3115bee8f37f5a6037427c12488e911c7d353340

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In Communication

In Information Systems and Management

In Sociology and Political Science

Citations in the corpus

What drives purchase intention for paid mobile apps? - An expectation confirmation model with perceived value (2015, background): “…playfulness in using web portals (Lin et al. 2005), user loyalty and perceived incentives in e-commerce usage (Atchariyachanvanich et al. 2006), prior behavior and habits in internet-based learning (Limayem and Cheung 2008), and intimacy and familiarity with web services (Lee and Kwon 2011).”
An investigation of users’ continuance intention towards mobile banking in China (2016, background): “…users’ continued usage of IS such as online banking (Vatanasombut et al., 2008), e-learning (Lee, 2010), Internet-based learning technologies (Limayem and Cheung, 2008), online shopping (Lee and Kwon, 2011), and IPTV (Lin et al., 2012), which show that the ECM is effective in predicting…”
Intimacy, familiarity and continuance intention: An extended expectation-confirmation model in web-based services (2011, methodology): “First, Bhattacherjee’s was a representative study whose results were veriﬁed by several other studies (Lin et al. 2005, Thong et al. 2006, Min and Shenghua 2007, Limayem and Cheung 2008, Vatanasombut et al. 2008).”
Understanding the MOOCs continuance: The role of openness and reputation (2015, background): “IS continuance is influenced by a user' satisfaction with the IS (Limayem & Cheung, 2008).”
The role of self-determination theory in explaining teachers' motivation to continue to use e-learning technology (2009, methodology): “The first group consists of studies employing information systems adoption variables as antecedents for explaining e-learning continuance (e.g., Limayem & Cheung, 2008; Roca et al., 2006).”
Enhancing perceived interactivity through network externalities: An empirical study on micro-blogging service satisfaction and continuance intention (2012, background): “Prior research on continuance use of information technology typically considered perceived ease of use as an insignificant factor in post-adoption [5,33].”
The role of task-technology fit as users' motivation to continue information system use (2009, background): “Still, the number of publications addressing various aspects of IS continuance is increasing (e.g., Hayashi, Chen, Ryan, & Wu, 2004; Limayem & Cheung, 2008; Thong, Hong, & Tam, 2006).”
Perceived fit and satisfaction on web learning performance: IS continuance intention and task-technology fit perspectives (2012, methodology): “The importance of VLS satisfaction for continuing web-based learning systems has long been noted (Chiu et al., 2007a, 2007b; Limayem and Cheung, 2008; Sørebø et al., 2009).”
Habits and the electronic herd: The psychology behind social media’s successes and failures (2020, background): “As explained in the section, “Motivation fades as habits form,” consumers continue to use sites habitually despite motivations to act otherwise (Limayem & Cheung, 2008; Limayem et al., 2007).”
An expectation-confirmation model of continuance intention to use mobile instant messaging (2016, background): “…INT, SAT, PU, PEOU, CON, attitude Attitude and satisfaction are combined into the continuance model and a technology continuance theory is proposed Limayem and Cheung (2008) Internet-based learning technologies Behavior, INT, SAT, PU, CON, prior behavior, information system (IS) habit SAT and…”