AI · Abstract-supported systematic review and bibliometric analysis
Artificial intelligence adoption dynamics and knowledge in SMEs and large firms: A systematic review and bibliometric analysis
Journal of Innovation & Knowledge · 2025
Summary
The review addresses fragmented evidence and compares tools, implementation and outcomes across firm sizes; detailed synthesized results require the full paper. For a founder, use this as a question to test in your own context, not a universal playbook.
For your marketing
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.
Reported result
What the study found
The review addresses fragmented evidence and compares tools, implementation and outcomes across firm sizes; detailed synthesized results require the full paper.
Research question
What the authors investigated
How do AI-adoption dynamics and knowledge differ between SMEs and large firms?
Design
Systematic literature review combined with bibliometric analysis of research on firm-size differences in AI adoption and implementation.
Sample and setting
Published literature on SMEs and larger firms; the accessible publisher page does not state the final article count in the scraped excerpt.
Scope and transfer
Limitations to keep in view
The accessible publisher record supplies the review question and design but not detailed limitations or a complete result table.
Research sources
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.