Document Type : Research Paper
Authors
1 PhD student in Sports Management, Department of Physical Education Islamic Azad University, Mashhad, Iran
2 Associate professor,physical education department, Azad university, Mashhad,Iran
3 Associate Professor, Department of Physical Education, Islamic Azad University, Mashhad, Iran
Abstract
The aim of the current research was to model the effective factors on the implementation of artificial intelligence in Iranian sports press. this is an applied research in a qualitative type and inductive approach, which was carried out in an exploratory and analytical way. The statistical population of the research included active people in the field of sports press, artificial intelligence, sports management professors, sports journalists. In this research, data saturation was reached in the 14th interview and continued until the 16th interview. Foundation data theory , Straus Corbin's approach were used for data analysis. The findings showed that a total of 50 items play a role as effective factors in the implementation of artificial intelligence in Iran's sports press, which are divided into 12 components. Among the 12 components, 3 components of infrastructure, investment and related to the audience as causal conditions, 5 components of education, media richness, human power, technology and knowledge and special advantages as background conditions and 4 components of cooperation and assistance. Culture, environmental factors and managers as intervening conditions are effective factors on the implementation of artificial intelligence in Iranian sports press. Also, the findings showed that 8 strategies for the implementation of artificial intelligence in the sports press can be presented according to the causal, contextual and intervening conditions, which can have 14 consequences. In a general conclusion, it should be stated that artificial intelligence provides tools for coding tasks and routines in algorithms and creates outputs similar to those produced by humans.
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