Overview of the Technology Acceptance Model: Origins, Developments and Future Directions

By M. Chuttur. 2009

1,338 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/94f7b026af8a7ae36ea2f1320719e16db224e61f

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Citations in the corpus

Greenwashing effect, attitudes, and beliefs in green consumption (2019, background): “Subjective forces reflect the perception of social pressure individuals might experience in response to their behavior (Ajzen, 1991; Chuttur, 2009); this is also related to the importance of the individual in the group or approval or disapproval of others’ behavior (Zhan&He, 2012).”
The mediating role of adoption of an electronic tax system in the relationship between attitude towards electronic tax system and tax compliance (2019, unknown): “Chuttur (2009) admitted that several studies found significant statistical results for the high influence of attitude on behavioural intention to use a specific system, and these studies provided strong evidence to support TAM as a model for predicting systems usage behaviour.”
Renewable energy technology acceptance in Peninsular Malaysia (2016, background): “User acceptance of technology has been recognized as an important field of study for over two decades (Chuttur, 2009).”
Evaluating E-learning systems success: An empirical study (2020, methodology): “The external variables have assisted researchers in understanding why a particular system may not be adopted, thus appropriate ‘corrective steps’ can be taken (Davis et al., 1989). Based on the literature study conducted by Abdullah and Ward (2016), the five most used external factors by researchers”
Technology acceptance model: a literature review from 1986 to 2013 (2014, background): “Chuttur [19] Analysis of theoretical assumptions and practical effectiveness of TAM TAM lacks sufficient and rigorous research”
A practical guide to controlled experiments of software engineering tools with human participants (2013, background): “Rather than simply ask if they find a tool “ useful ” , one can instead use a previously validated instrument, such as the Technology Acceptance Model (embodied as a questionnaire), which has been studied extensively (Chuttur 2009).”
Preparing Workplaces for Digital Transformation: An Integrative Review and Framework of Multi-Level Factors (2021, background): “In workplace settings, studies of technology adoption have found that the nature of technology matters, such as whether technology use is voluntary or mandatory (Lee et al., 2003; Chuttur, 2009).”