THE IMPACT OF COVID‐19 ON THE TECHNOLOGY SECTOR: THE CASE OF THE TURKISH CONSULTANCY COMPANY

Authors : Eda Gözütok, Ilayda Ulku

Pages : 432-461

View : 45 | Download : 77

Publication Date : 2024-10-03

Article Type : Research Paper

Abstract :The COVID-19 pandemic has caused unprecedented changes in the global economy and society, with many studies attempting to understand the impact of the virus on different countries and industries. This study focuses on the effects of COVID-19 on a consulting company that specializes in technology services. By analyzing the company\'s sales data for the five-year period before the pandemic, and using machine learning techniques via the KNIME platform, the study aims to predict the sales data for the COVID-19 period. Three different regression models - linear, gradient boosting, and random forest - were used to make these predictions, and the models were compared based on their coefficient of determination (R2) to determine which model performed best. The chosen model was then used to interpret the impact of COVID-19 on the company. The findings of the study provide insights into how COVID-19 has affected the consulting company. The chosen model showed that the pandemic had a significant negative impact on the company\'s sales, with a sharp decline in the second quarter of 2020. However, the company was able to recover some of its losses by the fourth quarter of the year. The study also highlights the importance of using machine learning techniques to predict future sales data during unpredictable events such as the COVID-19 pandemic. Overall, this study sheds light on the impact of COVID-19 on a technology consulting company and demonstrates the importance of using data analysis and machine learning techniques to make predictions and interpret the effects of significant events on business operations.
Keywords : COVID 19, makine öğrenimi, regresyon modelleri, KNIME, tahmin

ORIGINAL ARTICLE URL