Defining and Predicting Consumers Bread Choices based on Socio-Demographic Characteristics and Healthy Living Orientations

The bread still constitutes an essential part of meeting the daily nutritional requirement. primary purpose this study is to examine socio-demographic characteristics individuals and their consumption preferences perceptions with a focus on quality healthy life. data are obtained digitally 9583 consumers from survey questions created google form throughout Turkey year 2020. First, descriptive statistics answers comprehensive revealed. Then, correlation analysis conducted show relationships between variables, in line each sub-objective set up under purpose. Finally, by using some mining machine learning algorithms, it tried reveal future expectations based main determinant parameters such as health expectation for consumers. All statistical inferential evaluations made Konstanz Information Miner (KNIME) analytics platform. findings discover that increasing income education level improves awareness about life people, these attitudes bring proportional decrease individuals. On other hand, vicious circle, reveals sedentary brought work-life modern society causes increase body weight unhealthy living ecosystem. This study, define predict behavioral toward consumption. can offer meaningful advice all actors political decision-makers involved market supply chain