AccScience Publishing / IJOSI / Online First / DOI: 10.6977/IJoSI.202606_10(3).000X
ARTICLE

Artificial intelligence’s effect on internal organizational processes: An analysis of food wholesalers in the United Arab Emirates

Natali Turkmani1 Tamadher Aldabbagh2 Zainab Al Ghurabli2 Siham Haider2 Ahmad Aburayya3* Abdelkarim Kitana2
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1 Department of Marketing, College of Business, City University Ajman, Ajman, Ajman, United Arab Emirates
2 Department of Human Resource Management, College of Business, City University Ajman, Ajman, Ajman, United Arab Emirates
3 Department of Master of Business Administration, College of Business, City University Ajman, Ajman, Ajman, United Arab Emirates
Received: 13 April 2026 | Revised: 12 May 2026 | Accepted: 25 May 2026 | Published online: 19 June 2026
(This article belongs to the Special Issue Systematic Innovation and AI Integration)
© 2026 by the Author(s). This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution -Noncommercial 4.0 International License (CC-by the license) ( https://creativecommons.org/licenses/by-nc/4.0/ )
Abstract

In recent years, artificial Intelligence (AI) has emerged as one of the main global trends in innovation and competition. Businesses have begun using AI to boost productivity, reduce costs, and improve strategic decisions. This research examines how AI affects internal organizational processes (IOP) by examining the food wholesalers industry in the United Arab Emirates (UAE). A quantitative research design was used, and the data were collected via an online survey administered via Google Forms, with 218 wholesalers in the UAE participating. SPSS 26 was used to analyze the data using descriptive statistics, correlation analysis, and multiple regression. The findings indicated that AI had a significant effect on the IOP. The greatest impact was demonstrated by AI infrastructure, followed by employee readiness and leadership support. The research concludes that enhancing IOP requires a combined strategy that includes technological preparedness, the role of leaders, data quality, and staff competence. It provides recommendations, limitations, and future research directions to guide the organization and researchers in their future research on the drivers of internal process improvement.

Keywords
Artificial intelligence
Internal organizational processes
Process efficiency
Data quality
Food wholesalers sector
Funding
This research was funded by City University Ajman.
Conflict of interest
Ahmad Aburayya is a Guest Editor of this journal, but was not in any way involved in the editorial and peer-review process conducted for this paper, directly or indirectly. The authors declare they have no competing interests.
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International Journal of Systematic Innovation, Electronic ISSN: 2077-8767 Print ISSN: 2077-7973, Published by AccScience Publishing