Abstract
The COVID-19 pandemic, which affected every aspect of global activity and had an impact comparable to those of 1929, 1973, and 2008, transformed into a genuine worldwide economic crisis.
Morocco has had to manage the issues and challenges presented by the COVID-19 pandemic just like any other nation. Amid these challenges, Morocco has been able to respond quickly and effectively, through the implementation of various policies and initiatives. Through these strategies, Morocco has been able to current the rate of infections, protect the health of citizens and lessen the economic impact of the pandemic.
In order to assess the effectiveness of certified management systems in identifying pandemic risks, the impact of the pandemic on business activity, and the provision of digital solutions during the lockdown period to ensure business continuity from March to May 2020, a survey of 49 companies in the Moroccan territory was conducted. This results in interdependencies between these various variables that are confirmed in the second survey between December 2022 and February 2023 for the same companies (49 companies that participated in the 2020 survey) in order to examine the certification evolution of their management systems and the information systems used, as well as the contribution to averting the post-covid crisis and whether new artificial intelligence technologies have been incorporated into information systems.
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Acknowledgments
This work was carried out within the Laboratory: Research Team in Biotechnology and Biomolecules Engineering of the FST of Tangier, Morocco. The authors extend their appreciation to the Research Supporting Project by Hassan II Academy of Science and Technology of Morocco for financial support and all companies participated in the two surveys.
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Chidoud, H., Aarab, A., Laglaoui, A. (2024). How Certified Management System and Information System Overcome Covid-19 Economics’ Impacts: Comparative Study for Moroccan Companies Between 2020 and 2023. In: Ezziyyani, M., Kacprzyk, J., Balas, V.E. (eds) International Conference on Advanced Intelligent Systems for Sustainable Development (AI2SD’2023). AI2SD 2023. Lecture Notes in Networks and Systems, vol 904. Springer, Cham. https://doi.org/10.1007/978-3-031-52388-5_16
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