Predicting secondary school teachers' acceptance and use of a digital learning environment: A cross-sectional study

By B. Pynoo, P. Devolder, Jo Tondeur, Johan van Braak, Wouter Duyck, P. Duyck. Computers in Human Behavior, 2011

334 citations recorded by the source corpus.

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

View Paper: https://www.semanticscholar.org/paper/832eb9748ddc38cfe8ed4056f3e3f097e64bc65f

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Citations in the corpus

The technology acceptance model (TAM): A meta-analytic structural equation modeling approach to explaining teachers' adoption of digital technology in education (2019, background): “…labels some of the technology acceptance variables di ﬀ er-ently, there is a clear correspondence with the TAM constructs (Nistor & Heymann, 2010; Pynoo et al., 2011): While performance expectancy often corresponds to perceived usefulness and e ﬀ ort expectancy to perceived ease of use,…”
Re-examining the Unified Theory of Acceptance and Use of Technology (UTAUT): Towards a Revised Theoretical Model (2017, background): “…and effective communication of the technology ’ s capabilities through product bro-chures, live demonstrations, and success stories (e.g., Alshare and Lane 2011; Dwivedi et al. 2015; Koh et al. 2010; Martin and Herrero 2012; Pynoo et al. 2011; Rana et al. 2015b; Yang 2010; Zuiderwijk et al. 2015).”
Factors influencing digital technology use in early childhood education (2014, background): “Various models have been suggested to help explain the relationship between first- and second-order barriers with teachers’ technology use (van Braak et al., 2004; Inan & Lowther, 2010b; Pynoo et al., 2013; Robinson, 2003).”
Citizens’ adoption of an electronic government system: towards a unified view (2015, methodology): “A number of studies (i.e., Park et al. 2007; Pynoo et al. 2007, 2011) have provided significant empirical justification for this relationship.”
What catalyses mobile apps usage intention: an empirical analysis (2015, methodology): “Pynoo et al. (2011) highlighted that PE is the mixture of PU from TAM and other constructs related to usefulness of a D ow nl oa de d by U ni ve rs ity o f M is si ss ip pi A t 0 5: 17 0 4 Ju ly 2 01 5 (P T ) technology in other models.”
A meta-analysis of e-learning technology acceptance: The role of user types and e-learning technology types (2011, methodology): “…Ma (2011) 357 Employees E-learning System TAM Karaali et al. (2011) 546 Employees E-learning System TAM Lin (2011) 256 Employees E-learning System TAM Pynoo et al. (2011) 64/41/ 55 Teachers/ professors E-learning System UTAUT Chen (2010) 193 Employees E-learning System TAM The journal Computers…”
Unified Theory of Acceptance and Use of Technology: A Synthesis and the Road Ahead (2016, background): “…has examined a range of technologies from the general, such as the Internet (Gupta et al., 2008), to the more specific, such as agile IS (Hong et al., 2011), digital-learning contexts (Pynoo et al., 2011), mobile banking (Zhou et al., 2010), and e-government services (Venkatesh et al., 2011).”
The unified theory of acceptance and use of technology (UTAUT): a literature review (2015, background): “(2011) Web-Based Technology (1) Or et al. (2011) Digital Learning (1) Pynoo et al. (2011) Cross-Cultural Information Retrieval (1) Taksa and Flomenbaum (2009) Problem Solving Models (1) Richardson et al. (2009) Websites (1) van Schaik (2009) Office Systems 11(6”
An empirical validation of a unified model of electronic government adoption (UMEGA) (2017, background): “Possible ways of achieving these objectives may include wider and more accurate representation of user requirements to system analysts, designers, and developers or selecting and benchmarking the system against other e-government systems that are more consistent with user requirements and have wide ”