Abstract:
"The recent COVID-19 pandemic impacted many office cultures all over the world. The
IT industry, more than any other, adapted quickly to the new remote working culture.
Many researchers believe that these shifts toward remote work will be permanent.
However, most were unfamiliar with the concept in Sri Lanka, and the country was not
prepared to legally, economically, or technologically enable employees to work from
home. When employees cannot work comfortably, it leads to dissatisfaction, affecting
employee productivity in the long run. As a result, this research aims to identify
potential factors and develop a model to measure IT employee satisfaction based on
WFH culture in Sri Lanka.
After conducting a thorough literature review and an initial survey, potential factors
influencing the satisfaction of IT employees who work from home were classified based
on several categories, including employee characteristics, workplace, working
practices, and family background. Based on the findings, prepared an online
questionnaire to collect data, and 189 people responded. In this research study, the
classification models which are Random Forest, Logistic Regression, Support Vector
Machine, and XGBoost Classifier were selected and tested the performance in
predicting employee satisfaction. During the evaluation the SVM classification model
was chosen as it outperformed the other models with an accuracy of approximately
82%."
