ABSTRACT
A global pandemic affected the type and place of work in several ways. For coworking places it caused disruptions according to direct (e.g. measures) and indirect (e.g. urban outmigration) reasons. The present chapter focuses on how coworking places in Hungary choose different adaptation strategies to deal with the unprecedented challenge that COVID-19 accounted for. It gives insight into the Hungarian pandemic situation between 2020 and 2022, identifying restrictions and no state financial aid whatsoever which determined the playing field for coworking places. The chapter contains different sections related to the outbreak and the Hungarian coworking landscape as well as coping strategies these alternative workspaces relied on to survive the first two years of the pandemic: location change, size reduction, change of function, and relying on informal networks are the identified ones. © 2023, The Author(s).
ABSTRACT
Covid19 has devastated all continents causing disasters not only on the health sector but also at social, economic, and at political levels. The world is still trying to eradicate the virus. One of the measures taken is to inform citizens about the virus in order to avoid contamination as much as possible. Several people lost their jobs, and found themselves without any income. The whole world is confined, and the poor can no longer endure this critical situation. Financial assistance is therefore necessary in order to reduce the impact. This paper aims to propose an intelligent financial support application that computes the eligibility for a citizen to get a support during the pandemic;and to explain steps for chatbot using DialogFlow. The training realized using a machine learning algorithm was chosen after making a comparison between some other algorithms. Gradient Boosting Classifier algorithm was the accurate and most efficient for the application. It is possible to train the system again using other data set to make any adaptive results or computations. Copyright © (2022) by International Association for Development of the Information Society (IADIS). All rights reserved.
ABSTRACT
Artificial intelligence in E-Business, on the pharmaceutical side, is used by large companies producing such products, and in the case of vaccines for the provision of chatbot services, analysis of customer feedback and the provision of personalized services related to the required volume, the regions with high vaccine demand, as well as the evolution of pandemic eradication following the implementation of vaccination or specific medication. The proper functioning of the pharmaceutical system has become a crucial value for every nation, in the sense of rapidly producing the medication needed to treat and prevent disease. The present study aims to analyze how the artificial intelligence can help the pharmaceutical industry to give faster and efficient prevention and treatment in crisis situations in the health system. The paper underlines how financing of this particular industry involves more than money and how artificial intelligence can help the humanity to fight against COVID-19. The research was conducted through successive interviews with representatives of public institutions, of the chemical, pharmaceutical, and medical industries and Artificial intelligence developers. © 2021 ACM.