Adding contextual specificity to the technology acceptance model

By Daniel J. McFarland, Diane Hamilton. Computers in Human Behavior, 2006

331 citations recorded by the source corpus.

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

View Paper: https://www.semanticscholar.org/paper/c31680acf2b21f0b863e2611bda634ab368db03b

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Citations in the corpus

Understanding adoption of new technologies: Technology readiness and technology acceptance as an integrated concept (2012, background): “In addition, perceived usefulness is often found to be the strongest determinant in the model (Burton-Jones & Hubona, 2006; King & He, 2006; Legris et al., 2003; McFarland & Hamilton, 2006).”
A theoretical model of mobile augmented reality acceptance in urban heritage tourism (2018, background): “McFarland and Hamilton (2006) supported both paths, from system quality towards perceived ease of use as well as perceived usefulness.”
Adding Innovation Diffusion Theory to the Technology Acceptance Model: Supporting Employees' Intentions to use E-Learning Systems (2011, background): “Therefore, if learners fail to use-learning systems, the benefits of such systems will not be achievable (Pituch & Lee, 2006; McFarland & Hamilton, 2006).”
Factors affecting purchase intention on mobile shopping web sites (2009, background): “Several information technology (IT) researchers have explored technophobia, or even anxiety, as a significant negative inhibitor of IT acceptance (Compeau et al., 1999; McFarland and Hamilton, 2006).”
User acceptance of a digital library system in developing countries: An application of the Technology Acceptance Model (2009, unknown): “Hamilton (2006) also found that system usage is greatly affected by previous usage experiences of other systems.”
Persuasive messages on information system acceptance: A theoretical extension of elaboration likelihood model and social influence theory (2013, background): “Accordingly, an individual’s behavior is probably determined by the external variables or influences around him/her (Henningsen, Henningsen, Cruz, & Morrill, 2003; McFarland & Hamilton, 2006).”
Students' perceptions about the use of video games in the classroom (2010, background): “One of the major problems is the inability of the model to account for individual, organizational, contextual, technology and task characteristics (Mathieson, 1991; McFarland & Hamilton, 2006).”