American Journal of Advanced Multidisciplinary Innovation and Research

E-ISSN: XXXX-XXXX   •   Impact Factor: -

A Widely Indexed Open Access Peer Reviewed Multidisciplinary Bi-monthly Scholarly International Journal

Call for Paper Volume 7, Issue 5 (September-October 2026) Submit your research before last 3 days of October to publish your research paper in the issue of September-October.
Submit Research Paper Join as a Reviewer

Plagiarism is checked by the leading plagiarism checker TurnItIn

Call for Paper

Volume 7 Issue 5
September-October 2026

Submit your research paper

Indexing Partners
Academia Advanced Sciences Index Bielefeld Academic Search Engine CiteSeer DRJI Google Scholar Independent Search Engine & Directory Network ISI (International Scientific Indexing) Issuu Mendeley Research Networks
RefSeek ResearcherId - Thomson Reuters ResearchGate Scirus Scribd Semantic Scholar UTeM - Universiti Teknikal Malaysia Melaka Wiki for Call for Papers WorldCat Zenodo

Artificial Intelligence Readiness Among Small and Medium-Sized Enterprises

Author(s) Dr. Daniel K. Morgan
Country United States
Abstract Artificial intelligence is becoming increasingly accessible to small and medium-sized enterprises through cloud services, generative AI applications, embedded analytics, automation platforms, and subscription-based business software. Accessibility, however, does not necessarily imply organizational readiness. SMEs frequently operate with limited financial reserves, small specialist teams, fragmented data systems, informal governance arrangements, and substantial dependence on external technology providers. Consequently, the ability to experiment with an AI tool may develop considerably faster than the organizational capability required to integrate AI responsibly into core business processes. This study examines artificial intelligence readiness among SMEs through a multidimensional framework incorporating digital infrastructure, data maturity, workforce competence, leadership commitment, financial capacity, AI governance, and external ecosystem support. Contemporary evidence confirms the relevance of this distinction. OECD research reports that SME AI adoption remains below that of larger enterprises, while Eurostat data for 2025 indicate that 17.0% of small EU enterprises and 30.4% of medium enterprises used AI technologies, compared with 55.0% of large enterprises. OECD survey evidence also shows growing use of generative AI among SMEs while identifying continuing barriers involving skills, legal uncertainty, data handling, and perceived relevance.
Because a verified firm-level dataset was not supplied, the present investigation adopts a simulation-based methodological design. A synthetic sample of 420 enterprises was created, comprising 180 micro, 150 small, and 90 medium-sized firms. AI readiness was measured on a 0–100 composite index across seven dimensions. The simulated overall mean was 57.2, indicating a developing but uneven readiness profile. Leadership commitment produced the highest dimensional score at 65.3, followed by digital infrastructure at 62.4 and ecosystem support at 61.4. AI governance recorded the lowest mean at 48.9, while workforce competence and data maturity also remained comparatively weak. Only 12 of the 420 simulated SMEs reached the advanced-readiness category, whereas 239 remained in emerging or developing stages. The findings suggest that AI readiness should be treated as a capability-development process rather than as a binary technology-adoption decision. The paper proposes a staged readiness model in which SMEs first establish digital and data foundations, then develop workforce and managerial competence, implement controlled AI use cases, and progressively institutionalize governance, monitoring, cybersecurity, and performance evaluation. The study concludes that sustainable SME AI adoption depends less on immediate access to powerful AI tools than on the ability to align technology with reliable data, skilled people, management processes, financial discipline, and responsible governance.
Keywords : artificial intelligence readiness, small and medium-sized enterprises, SMEs, AI adoption, digital maturity, organizational readiness, AI capability, technology adoption, responsible AI, digital transformation
Field Engineering
Published In Volume 3, Issue 2, March-April 2022
Published On 2022-03-08
View / Download PDF File

Share this



E-ISSN XXXX-XXXX
CrossRef

CrossRef DOI prefix of AJAMIR is 10.00000/AJAMIR

Downloads
Research Paper Format Copyright Permission Form and Undertaking Form

All research papers published on this website are licensed under Creative Commons Attribution-ShareAlike 4.0 International License, and all rights belong to their respective authors/researchers.

CC-BY-SA Open Access

About AJAMIR
Fees & Payment
Current Issue
Publication Archive 		Submit Research Paper
Track Submission Status
Publication Guidelines
Publication Ethics
Peer Review & Plagiarism 		Join as a Reviewer
Editors & Reviewers
Reviewer Referral Program
Get Reviewer Membership Certi. 		Website/Journal Policies
Usage Policy
Content Policies
Privacy Policy
Contact Us +1-872-302-3851 editor@ajamir.com