نوع مقاله : مقاله پژوهشی
نویسنده
کارشناسی ارشد مدیریت کسب و کار، دانشکده صنایع، دانشگاه خواجه نصیرالدین طوسی، تهران، ایران.
چکیده
کلیدواژهها
عنوان مقاله [English]
نویسنده [English]
Noting the negative effects of the covid-19 pandemic on various economic sectors, the aim of the current paper is to find a model for reducing the negative effects of covid-19 pandemic on the Iranian economy. The result of this research can pave the way for developing a technology roadmap that by illustrating new field of cognitive finance can in turn help reduce the chance of implementing bad policies against the negative effects of Covid-19 on the economy. This paper can be classified as a descriptive survey and its methodology is based on data collection. More specifically, the paper uses the Delphi to collect its data collection, and subsequently conducts hierarchical, failure and information analysis techniques to analyze the data gathered. The results obtained from the analysis of economic indicators indicate that lack of inflation controls and lack of transparency of banking systems pose the greatest high risk. Furthermore, the results indicate that adopting resistance economic policies for reducing the damage caused by shocks has a positive and significant effect long term in terms of economic growth. The paper concludes by proposing some solutions for reducing risk and control based on the economic resilience indicators proposed by Bergoglio and colleagues.
کلیدواژهها [English]
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