This is from a couple years ago, but I've been doing a ton of reading on technology acceptance models over the last few months, so it seems worth sharing. The Unified Theory of Acceptance and Use of Technology (UTAUT) combines a number of earlier models (for example, Technology Acceptance Model (TAM) and Theory of Planned Behavior (TPB), among others, to provide an overall view of the factors involved, and a means of measuring the weight of each of those factors. What I've learned especially is the extent to which each of these measures is empirically validated, the role they play in developing implementation plans, including training. I personally think technology acceptance is much more fine-grained and much more personal than any of these models suggest (and therefore, prime grounds for assessment by AI; this is true for most of what people in our field call 'theory') but the means to manage at this level doesn't exist yet. See also: Vankatesh, et al., (2003), Momani (2020).