How Habit Limits the Predictive Power of Intention: The Case of Information Systems Continuance

By Moez Limayem, Sabine Gabriele Hirt, Christy M. K. Cheung. MIS Q., 2007

2,333 citations recorded by the source corpus.

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

View Paper: https://www.semanticscholar.org/paper/8aa6ff0597c33b8bbf5f87db63380e773ef799a4

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Citations in the corpus

An expectation-confirmation model of continuance intention to use mobile instant messaging (2016, background): “It is also a key determinant in post-adoption behavior (Bhattacherjee, 2001; Limayem et al., 2007).”
The corporeality of practice-based learning (2010, background): “For instance, Limayem et al (2007) view habit in the context of information systems (IS) usage as the extent to which IS practitioners tend to use IS automatically because of learning.”
Shackled to the Status Quo: The Inhibiting Effects of Incumbent System Habit, Switching Costs, and Inertia on New System Acceptance (2012, neutral): “A review of technology acceptance research reveals only a handful of studies that have focused specifically on habit (e.g., Gefen 2003; Kim and Malhotra 2005; Kim et al. 2005; Limayem and Hirt 2003; Limayem et al. 2007; Wu and Kuo 2008).”
Employees' adherence to information security policies: An exploratory field study (2014, background): “[10] urged IS scholars to include actual behavior in their research.”
Trustworthiness in mHealth information services: An assessment of a hierarchical model with mediating and moderating effects using partial least squares (PLS) (2011, background): “Sitkin and Roth (1993) recognize it as “value congruence”, Lind (2001) identifies it as “fairness & moral character” and Colquitt et al.”
Channel integration quality, perceived fluency and omnichannel service usage: The moderating roles of internal and external usage experience (2018, background): “Specifically, Habit/Automaticity Perspective suggests that automatic use results from habit without the need of IT evaluation, and as a result, user evaluations will exert weak effect on subsequent IT use when users have enough past usage experience to form a habit [28,51,54,55].”