An empirical investigation of mobile data service continuance: Incorporating the theory of planned behavior into the expectation-confirmation model

By Byoungsoo Kim. Expert systems with applications, 2010

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An empirical examination of continuous intention to use m-learning: An integrated model (2020, background): “Several m-learning studies triggered out that SA has a significant impact on CI (Hong et al. 2006; Joo et al. 2016; Kim 2010; Oghuma et al. 2015; Wang and Du 2014).”
The role of perceived social capital and flow experience in building users' continuance intention to social networking sites in China (2012, unknown): “The expectation–confirmation model (ECT) of information systems (ISs) continuance has been widely used to predict users’ continuance intention in IS (Kim, 2010; Tang & Chiang, 2010).”
An expectation-confirmation model of continuance intention to use mobile instant messaging (2016, background): “Network benefit is formed by referent network size and perceived complementarity Premkumar and Bhattacherjee (2008) Computer-based tutorial INT, SAT, PU, disconfirmation (DIS), expectation, perceived performance, perceived ease of use (PEOU) INT is explained better by the technology acceptance model”
An investigation of users’ continuance intention towards mobile banking in China (2016, background): “Similarly, some researchers noted that information quality, social influence, perceived enjoyment and perceived fee have effects on continuance intention of mobile data services (Kim et al., 2008; Lee et al., 2009; Kim, 2010; Choi et al., 2011).”