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

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

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