Identifying and Ranking the Factors Affecting the Acceptance of Artificial Intelligence in the Public and Private Sectors

One of the most important issues in the development of artificial intelligence is the adoption of the use of artificial intelligence by the private and public sectors. In other words, in order for artificial intelligence to be used in a country or industry, it is necessary to identify and evaluate the important factors of adoption. The purpose of this study is to identify and rank the factors affecting admission in the public and private sectors in Iran. For this purpose, first, a set of models and factors affecting the adoption of technology were extracted from the literature and opinions of experts and were classified into three categories: technological, organizational and environmental factors Then, the most important factors in each category were determined through a collection questionnaire, and using nonparametric Friedman test for each category with the most important and least important criteria. In order to weight and prioritize the factors, the quantitative approach and BWM technique have been used. The statistical population of the study included 37 experts in artificial intelligence in the public sector and 45 experts in the private sector. According to the obtained results, in the public sector, 3 important factors of admission are the support of senior managers, the existence of the required infrastructure for artificial intelligence and the existence of specialized and capable forces in the field of artificial intelligence. Efficiency and productivity with the use of artificial intelligence, cost savings with the use of artificial intelligence and ease of use and learning has been easy.