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An AI-Driven Machine Learning Approach to Evaluating the Impact of Innovation Dynamics on SME Performance in the UAE Cover

An AI-Driven Machine Learning Approach to Evaluating the Impact of Innovation Dynamics on SME Performance in the UAE

Management Systems in Production Engineering
Volume 34 (2026): Issue 1 (March 2026)
By: Sara Ismail Almansoori,  Zehra Canan Araci and  Fikri Dweiri  
Open Access
|Feb 2026

Authors

Sara Ismail Almansoori

U20105038@sharjah.ac.ae

University of Sharjah

Zehra Canan Araci

University of Sharjah

Fikri Dweiri

University of Sharjah
DOI: https://doi.org/10.2478/mspe-2026-0010 | Journal eISSN: 2450-5781 | Journal ISSN: 2299-0461
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Language: English
Page range: 103 - 110
Submitted on: Jul 1, 2025
|
Accepted on: Jan 1, 2026
|
Published on: Feb 16, 2026
Published by: STE Group sp. z.o.o.
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year
Keywords:
AI,
machine learning,
innovation capability,
SME Performance,
UAE,
explainable AI (XAI),
organizational innovation
Related subjects:
Business and economics,
Business management,
Management accounting, financial controlling, cost calculation, investment,
Engineering,
Mechanical engineering,
Production technology,
Tools and methods,
Process engineering and industrial engineering

© 2026 Sara Ismail Almansoori, Zehra Canan Araci, Fikri Dweiri, published by STE Group sp. z.o.o.
This work is licensed under the Creative Commons Attribution 4.0 License.

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