Does the technology acceptance model predict actual use? A systematic literature review

By Mark Turner, Barbara A. Kitchenham, Pearl Brereton, S. Charters, David Budgen. Information and Software Technology, 2010

826 citations recorded by the source corpus.

Context: The technology acceptance model (TAM) was proposed in 1989 as a means of predicting technology usage. However, it is usually validated by using a measure of behavioural intention to use (BI) rather than actual usage. Objective: This review examines the evidence that the TAM predicts actual usage using both subjective and objective measures of actual usage. Method: We performed a systematic literature review based on a search of six digital libraries, along with vote-counting meta-analysis to analyse the overall results. Results: The search identified 79 relevant empirical studies in 73 articles. The results show that BI is likely to be correlated with actual usage. However, the TAM variables perceived ease of use (PEU) and perceived usefulness (PU) are less likely to be correlated with actual usage. Conclusion: Care should be taken using the TAM outside the context in which it has been validated.

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

View Paper: https://www.semanticscholar.org/paper/de270dcf3a03059af50f6da3a89ff1ba5631eb04

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Citations in the corpus

Why do small and medium enterprises use social media marketing and what is the impact: Empirical insights from India (2020, background): “If these are protected, use of SMM in SMEs would fetch considerable benefits (Turner et al., 2010).”
Factors influencing acceptance of technology for aging in place: A systematic review (2014, background): “Systematic reviews have shown that these wo variables typically explain 40 percent of an individual’s ntention to use a technology in a variety of contexts including ealthcare [19–21], and that intention to use may [22] or may ot [23] predict actual use of technology.”
A Framework for Guiding and Evaluating Literature Reviews (2015, neutral): “Turner et al. (2010) and Hauge et al. (2010) provide good examples of how to perform such quality assessment.”
Information disclosure on mobile devices: Re-examining privacy calculus with actual user behavior (2013, neutral): “Perhaps most importantly, the danger of not including actual behaviors (Turner et al., 2010) appears to be amplified in the information disclosure context.”
Technology acceptance model: a literature review from 1986 to 2013 (2014, background): “[80] Analysis of TAM in the context of technology usage prediction TAM usage outside the context in which it has been validated requires thoughtful consideration”
A Systematic Review of the Technology Acceptance Model in Health Informatics (2018, methodology): “32 Proceeding with the analyses of model validity across use environments, Hsiao and Yang used cocitation analyses to identify three main application contexts for TAM use: (1) task-related systems, (2) e-commerce systems, and (3) “ experiential ” (or “ hedonic ” ) systems.”
Modeling users’ acceptance of mobile services (2012, positive): “Taking Turner’s research [65] into consideration—which in most of the cases veriﬁes that TAM can adequately predict the adoption of a new technology—the objective of this study is to predict the mobile services adoption through behavioral intention when speciﬁc factors co-exist.”