The new coronavirus (COVID-19) is caused by the acute respiratory syndrome 2. The disease was first diagnosed in December 2019 in Hubei Province, Wuhan City, China. On March 11, the World Health Organization declared the virus an epidemic. Until Mid-February, 2021, about 112 million people worldwide have been infected with the virus, of which about 2.500.000 people have lost their lives, according to the latest global statistics from the Worldometer database. The economic shock of the coronavirus outbreak has also led to negative economic impacts, including declining sales of many related businesses. In this paper, the effects of coronavirus on the Iranian economy are examined with a systems dynamics approach. First, the relationships of important variables affecting GDP in SPSS software are obtained and then the data is analyzed using Vensim software. In the following, by analyzing the sensitivity and providing recommendations, the impact of managerial insights to control the conditions of this new crisis will be examined. The results show that the correct use of the mask and the observance of social distance as well as air flow in spaces and avoidance of closed spaces have a significant effect on reducing the spread of this disease and reducing mortality.

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The COVID-19 pandemic has plunged the world into a health and economic crisis never seen before since the Spanish flu pandemic in 1918. The closure of schools and universities, the banning of rallies, and other social distancing in countries have been done to disrupt the transmission of the virus. Governments have planned to reduce restrictions on corona management by implementing vaccination programs. This research aims to better understand the Coronavirus disease’s behavior, identify the prevalent factors, and adopt effective policies to control the pandemic. This study examines the different scenarios of releasing the constraints and returning to normal conditions before Corona to analyze the results of different scenarios to prevent the occurrence of subsequent peaks. The system dynamics approach is an effective means of studying COVID-19’s behavioral characteristics. The factors that affect Coronavirus disease outbreak and control by expanding the basic SEIR model, interventions, and policies, such as vaccination, were investigated in this research. Based on the obtained results, the most critical factor in reducing the prevalence of the disease is reducing the behavioral risks of people and increasing the vaccination process. Observance of hygienic principles leads to disruption of the transmission chain, and vaccination increases the immunity of individuals against the acute type of infection. In addition, the closure of businesses and educational centers, along with government support for incomes, effectively controls and reduces the pandemic, which requires cooperation between the people and the government. In a situation where a new type of corona has spread, if the implementation of the policy of reducing restrictions and reopening schools and universities is done without planning, it will cause a lot of people to suffer.

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The essential principles in sustainable development are information and communication technology and their influence on the country’s economic progress. In essence, in culture, politics, economics, and society, information and communication technology are the driving force behind globalization. This has a significant impact on the emergence of the network society and cross-national awareness, and it is the primary driver behind global markets. A descriptive-analytical method is used in a scrolling manner, and a scientific approach is taken from the methodology’s standpoint. ICT companies in a selected region of Iran were surveyed in a questionnaire survey. “Success” in ICT standard setting is discussed in this study. A fuzzy analytical hierarchy process (FAHP) and VIKOR methods were used to analyze data and prioritize the beneficial factors that contribute to the success of ICT companies. Twenty five ICT companies were evaluated using these methods. Utilizing the expert’s opinion and previous research, 21 criteria into five categories were elicited and estimated near Tehran (Qom), Iran’s capital. In this research, native influential factors are compared with other countries’ general vital factors, which are distinct from previous studies. Based on the results, in-company management factors, technological and marketing factors, financial costs, government policies, and native features were the most important critical factors. As significant factors that influence the success of ICT companies, employee involvement, teamwork, customer focus, the state of the economy, and conflict of interest between governmental and private sectors were selected.