نوع مقاله : مقاله پژوهشی
موضوعات
عنوان مقاله English
نویسندگان English
Abstract
Considering the presence of about 500 platforms in the country and the lack of success of most of them in various dimensions, the necessity of designing a management model for Iranian media platforms based on artificial intelligence with two domestic and foreign media giants ( Filimo and Netflix) has been studied with a mixed research method using a qualitative and quantitative approach. The statistical population consisted of 18 experts in the qualitative section and 384 users of Filimo and Netflix media in the quantitative section. In the qualitative section, the foundation data method was used to identify the main and sub-categories of the research, and in the quantitative section, the structural-interpretive modeling method was used to identify the causal relationships between the main categories. The partial least squares technique of the presented model was validated. Finally, with the structural-interpretive modeling method , the final model was presented. The results indicate that the public and social infrastructure of the Minister of Data and Software Construction, the laws and regulations of the country, in terms of using technology, managing the experience and satisfaction of users, analyzing and solving management challenges by systems based on artificial intelligence, have an effect on the support and support of the government. Sanctions on international communications and financial limitations. They have an impact on the management of Iranian media platforms. Finally, based on intelligent advertising Machine learning and data science and marketing strategy by artificial intelligence technology lead to an operational efficiency approach in Iranian media platforms, increasing the number of audiences and users, economic development of the media, the country's position in the media market, and finally, the strategic challenges and weighting of the criteria were addressed and ranked.
کلیدواژهها English
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