Customer behavior and adoption · Abstract-supported quantitative empirical study
What drives artificial intelligence adoption and use among firms? Empirical evidence from Brazilian companies
Rafael Katz, Joon Jung (2026). Digital Policy, Regulation and Governance.
Plain-English take
Company size positively influenced AI adoption and use; digitized environments increased adoption likelihood through network effects; competition intensity had a nonlinear effect that initially stimulated adoption. For a founder, use this as a question to test in your own context, not a universal playbook.
How much weight to give this
2.5/5 Exploratory evidence; interpret cautiously
The 1–5 evidence-check score is a practical reading aid, not a formal peer review or a probability that a conclusion is true. It combines design strength (2 points), sample reporting (1), comparison/control clarity (1), and how much of the paper could be checked (1). Access affects how confidently this directory can assess a study, not the study's underlying quality. Blinding is reported separately because it is not relevant to every design.
Synthesis or analytical design addresses the question, but conclusions depend on included literature or model assumptions.
The accessible source does not report a usable sample size.
The comparison structure is limited or depends on the paper's model/context.
Only publisher abstract/metadata was retrieved; full methods and robustness could not be checked.
Double-blind? Blinding was not established from the captured source; it may not apply to this study design.
Research question
What the authors investigated
Which firm and environmental factors predict AI adoption, diffusion within firms and intensity of use?
Design
Microdata from Brazilian firms analyzed with standard, ordered and multivariate probit models.
Sample and setting
Brazilian enterprises; the accessible abstract does not report the microdata sample size.
Reported result
What the study found
Company size positively influenced AI adoption and use; digitized environments increased adoption likelihood through network effects; competition intensity had a nonlinear effect that initially stimulated adoption.
This is a paraphrase of the source. Check the original paper for definitions, estimates, statistical uncertainty and analysis details.
Scope and transfer
Limitations to keep in view
The publisher abstract does not report sample size or detailed limitations; country-specific microdata and observational modeling warrant editorial review.
Possible founder application
Treat this as evidence for the specific customer behavior and adoption question studied. Compare the setting and sample to your company before changing a growth decision; use a local experiment where the paper does not match your context.
Evidence access
Publisher abstract/metadata retrieved; full text not reviewed
Publisher DOI record and accessible article/abstract directly support the bibliographic record and the summary fields; editorial review remains appropriate for duplicate checking against the unseen 300-study library. Correction notices were not separately verified in this collection; consult the current publisher record before applying the findings.
If only an abstract or metadata was available, the profile is limited to claims supported there. A paper's paywall does not change its evidentiary status, but it limits what we can substantiate from accessible text.