Investigating the Impact of Artificial Intelligence (AI) in Improving Organizational Productivity

Abstract

The development of artificial intelligence has gained momentum in recent years in many fields, most of which have been trying to improve organizational functions. However, there are gaps in how organizations should use artificial intelligence to improve organizational productivity. Regarding the application of artificial intelligence and the conditions of internal organizations, this research is a conceptual research model that identifies the effects that artificial intelligence (AI) can have in improving organizational productivity. This research was conducted with the aim of investigating the impact of artificial intelligence in improving organizational productivity in 1402. The statistical population of the research included all the selected employees of the affiliated companies of the Ministry of Energy in Tehran, whose total number was 330, out of which 175 people were considered as the sample size using the Morgan table and simple random sampling method. The method of data collection was based on the standard questionnaires of artificial intelligence of Micallef et al. (2023) and the productivity of Achio (1994). After the distribution and collection of questionnaires, information review and hypothesis testing was done using the structural equation modeling method and with the help of Smart PLS 2 software in two parts of the measurement model and the structural part. In the first part, the technical characteristics of the questionnaire including reliability, convergent validity and divergent validity specific to PLS were investigated. In the second part, the significant coefficients of the software were used to check the research hypotheses. Finally, the findings of the research confirmed the impact of artificial intelligence and its functions, including infrastructure, the ability to expand work and preventive positions in the studied society.