Consumer Perceptions and Behavior Towards Fast Food Businesses: A Comprehensive Study on the Fast Food Business After Covid-19 using Statistical Testing and Machine Learning Approach

Fast food has become an integral part of our daily life, resonating with individuals across diverse age demographics due to its expeditious preparation, unparalleled convenience, economic viability, and pervasive allure. Fast Food industry has grown day by day. This study provides consumer attitudes and behaviors towards fast food businesses. The aim of this paper is to understand consumers’ perception towards fast food, in order to enrich the knowledge of this field. This analysis will be more helpful for those who want to open restaurants in future. Moreover, outlet owners/managers can know about the food quality, hygienic food and places, affordability as well as consumers behavior through this. In this paper, several hypotheses were developed and statistical testing such as the chi-square test of independence and logistic regression was used to assure consumers behavior towards fast food. Additionally, selecting the key factors, machine learning models such as Logistic Regression, Support Vector Machine (SVM) models were used. In conclusion, the study focuses on the health and nutritional concerns on consumers behavior towards fast food.