1. MAROUAN E CHIHAB - Computer Science Research Laboratory, Faculty of Science Kenitra, Ibn Tofail University, Kenitra,
Morocco
2. HICHAM BOUSSATTA - Computer Science Research Laboratory, Faculty of Science Kenitra, Ibn Tofail University, Kenitra,
Morocco.
3. MOHAMED CHINY - Computer Science Research Laboratory, Faculty of Science Kenitra, Ibn Tofail University, Kenitra,
Morocco.
4. NABIL MABROUK - Computer Science Research Laboratory, Faculty of Science Kenitra, Ibn Tofail University, Kenitra,
Morocco.
5. MOULAY YOUSSEF HADI - Computer Science Research Laboratory, Faculty of Science Kenitra, Ibn Tofail University, Kenitra,
Morocco.
In 2019, the world experienced a health crisis related to COVID-19. This pandemic had unprecedented, considerable consequences on the global economy. However, countries were compelled to make efforts to absorb the negative effects of this pandemic. The adverse effects of this crisis were notably observed in its influence on the job market. In this research, we showcase the shift in demanded professions post this crisis. To achieve this, our focus is on predicting future technical jobs in the United Kingdom, specifically in the field of information technology. The data utilized in this study is sourced from the 'Glassdoor' platform. To conduct our prediction, we employed the 'Autoregressive Integrated Moving Average' (ARIMA) model. Empirical results confirmed our selection.
ARIMA, Glassdoor, Royaume-Uni, COVID-19