The influence artificial intelligence on business operational efficiency: a systematic review

Antonio Rojas Guillen J.; Ebelin Quispe Bautista W. · Proceedings of the LACCEI international Multi-conference for Engineering, Education and Technology (2025) · DOI: 10.18687/laccei2025.1.1.200

Resumen

This article analyzes the impact of artificial intelligence on business operational efficiency through a systematic literature review based on the PICOC methodology. A total of 219 records were collected in Scopus, of which 44 met the inclusion criteria after applying the PRISMA statement. The results identified factors limiting operational efficiency, such as lack of automation, human error and resistance to change. AI emerged as a key driver for improving productivity, automating processes and optimizing decisions, with the greatest impact in sectors such as manufacturing, logistics and finance. Companies that adopt AI show greater flexibility, cost reduction and resource optimization compared to those that do not. It is concluded that AI transforms operational efficiency, with more marked effects in sectors where automation is crucial, highlighting it as a strategic tool to improve business performance.

Instituciones: Universidad Tecnológica del Perú; Universidad Continental