Algorithm for Boycotting Behavior for Fake Goods

The economic sciences, both local and international, have conducted extensive studies on boycotting behavior in recent years. The scientific case for the remedy is still open particularly regarding the measurable model of the variable influencing boycotting performance. As a result, we gathered data with a sample size of 879 in order to look for real-world support for the model. The article's material is centered on two primary topics: the quantitative model's theoretical framework and the application's output for creating the boycotting behavior model. The choice of model was selected by AIC. The study's findings look into several important elements that aid the new theoretical research version of boycotting behavior. The best option for AIC Model Selection is used in this investigation.